\documentclass[reqno]{amsart}
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\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2017 (2017), No. 146, pp. 1--95.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu}
\thanks{\copyright 2017 Texas State University.}
\vspace{8mm}}

\begin{document}
\title[\hfilneg EJDE-2017/146\hfil Constant sign Green's function]
{Characterization of constant sign Green's function for a two-point
 boundary-value problem by means of spectral theory}

\author[A. Cabada, L. Saavedra \hfil EJDE-2017/`46 \hfilneg]
{Alberto Cabada, Lorena Saavedra}

\dedicatory{Dedicated to Prof. Stepan Tersian on his 65-th birthday}

\address{Alberto Cabada \newline
Instituto de Matem\'aticas,
Facultade de Matem\'aticas,
Universidade de Santiago de Compostela,
Santiago de Compostela, Galicia Spain}
\email{alberto.cabada@usc.es}

\address{Lorena Saavedra \newline
Instituto de Matem\'aticas,
Facultade de Matem\'aticas,
Universidade de Santiago de Compostela,
Santiago de Compostela, Galicia Spain}
\email{lorena.saavedra@usc.es}

\thanks{Submitted January 19, 2017. Published June 22, 2017.}
\subjclass[2010]{34B05, 34B08, 34B27, 34L05, 34B15, 34B18, 47A05}
\keywords{Green's functions; spectral theory; boundary value problems}

\begin{abstract}
 This article is devoted to the study of the parameter's set where the
 Green's function related to a general linear $n^{\rm th}$-order operator,
 depending on a real parameter, $T_n[M]$, coupled with many different
 two point boundary value conditions, is of constant sign.
 This constant sign is equivalent to the strongly inverse positive (negative)
 character of the related operator on suitable spaces related to the boundary
 conditions.

 This characterization is based on spectral theory, in fact the extremes
 of the obtained interval are given by suitable eigenvalues of the
 differential operator with different boundary conditions.
 Also, we obtain a characterization of the strongly inverse positive
 (negative) character on some sets, where non homogeneous boundary conditions
 are considered.
 To show the applicability of the results, we give some examples.
 Note that this method avoids the explicit calculation of the related Green's
 function.
\end{abstract}

\maketitle
\tableofcontents
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{remark}[theorem]{Remark}
\newtheorem{definition}[theorem]{Definition}
\newtheorem{notation}[theorem]{Notation}
\newtheorem{corollary}[theorem]{Corollary}
\newtheorem{example}[theorem]{Example}
\allowdisplaybreaks

\section{Introduction}

The study of the qualitative properties of the solution of a nonlinear
two-point boundary-value problems for differential equations has been
widely developed in the literature.

This work is devoted to the study of the strongly inverse positive (negative)
character of the general $n^{\mathrm{th}}$- order operator coupled with
different boundary conditions. In order to do that, we characterize
the parameter's set where the related Green's function is of constant sign.
Our characterization is based on the spectral theory, actually, the
extremes of the parameter's interval, where the Green's function is of
constant sign, are just the eigenvalues of the given operator with suitable
 related boundary conditions.

This result avoids the requirement of obtaining the explicit expression
of the Green's function, which can be very complicate to work with.
In a wider class of situations, specially in the non constant coefficients case,
it is not possible to obtain such an expression. Moreover, a slight
change on the operator or in the boundary conditions may produce a big
change on the expression of the related Green's function and its behavior.
So, it is very useful to give a direct and easy way to characterize its sign.

It is well-known that the constant sign of the Green's function related to
the linear part of a nonlinear problem is equivalent to the validity of
the method of lower and upper solutions, coupled with monotone iterative
techniques, that allows to deduce the existence of solution of such a problem,
see for instance \cite{Cab,Cab2,CoHa,LaLaVa}.

Moreover, by using the constant sign of the related Green's function,
nonexistence, existence and multiplicity results for nonlinear boundary-value
problems are derived, by means of the well-known Kranosel'ski\u{\i}
contraction/expansion fixed point theorem \cite{Kra}, from the construction
of suitable cones on Banach spaces \cite{AnHo,CaCi,CaPrSaTe,GrKoWa,To}.
The combination of these two methods has also been proved as a useful tool
to ensure the existence of solution \cite{CaCi2,CaCiIn,CiFrMi,FrInPe,Pe}.

It is important to point out that the study of the constant sign of the
related Green's function has been widely developed along the literature,
by means of studying its expression \cite{CaCiSa,CaEn,CaFe,MaLu}.
In all of them the expression of the Green's function has been obtained
in order to prove the optimality of the previously obtained bounds.
This work generalizes the ones given in \cite{CabSaa} for the problems
with the so-called $(k,n-k)$ boundary conditions and in \cite{CabSaa2}
for a fourth order problem with the simply supported beam boundary conditions.

In this article, we study a huge number of different boundary conditions
including the previously mentioned.

 First, we introduce two sets of indices which describe the boundary
conditions in each case.
Let $k\in\{1,\dots, n-1\}$ and consider the following sets of indices
$\{\sigma_1,\dots, \sigma_k\}\subset\{0,\dots,n-1\}$ and
$\{\varepsilon_1,\dots, \varepsilon_{n-k}\}\subset\{0,\dots,n-1\}$, such that
\[
0\leq \sigma_1<\sigma_2<\cdots<\sigma_k\leq n-1\,,\quad 0\leq
\varepsilon_1<\varepsilon_2<\cdots<\varepsilon_{n-k}\leq n-1\,.
\]

\begin{definition}\label{D::Na} \rm
 Let us say that $\{\sigma_1,\dots, \sigma_k\}-\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}$ satisfy property $(N_a)$ if
\begin{equation}\label{Ec::Na}
 \sum_{\sigma_j< h}1+\sum_{\varepsilon_j< h}1\geq h\,,\quad
\forall h\in\{1,\dots, n-1\}\,.\end{equation}
\end{definition}

\begin{notation}\rm
Let us denote $\alpha$, $\beta\in\{0,\dots, n-1\}$, such that
 \begin{gather}
 \label{Ec::alpha} \alpha\notin \{\sigma_1,\dots, \sigma_k\}\,,\quad
\text{and if } \alpha\neq 0\,,\quad \{0,\dots, \alpha-1\}\subset\{\sigma_1,\dots,
\sigma_k\}\,,\\ \label{Ec::beta}
 \beta\notin \{\varepsilon_1,\dots, \varepsilon_{n-k}\}\,,\quad \text{and if }
\beta\neq 0\,,\quad \{0,\dots, \beta-1\}\subset\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}\,.
 \end{gather}
\end{notation}

Note that $\alpha\leq k$ and $\beta\leq n-k$.
Let us define the following family of $n^{\rm th}$-order linear
differential equations
 \begin{equation}\label{Ec::T_n[M]}
 T_n[M] u(t)=u^{(n)}(t)+p_1(t) u^{(n-1)}(t)+\cdots+(p_n(t)+M) u(t)=0\,,\quad
 t\in I\,,
 \end{equation}
 where $I=[a,b]$ is a real fixed interval, $M\in\mathbb{R}$ a parameter and
$p_j\in C^{n-j}(I)$ are given functions.

Note that this equation represents a general $n$ order equation.
In fact, we could think of
\[
u^{(n)}(t)+p_1(t) u^{(n-1)}(t)+\cdots+\tilde p_n(t) u(t)=0\,,\ t\in I\,,
\]
where
\[
\tilde p_n(t)=p_n(t)+ \frac{1}{b-a} \int_a^b{\tilde p_n(s)\, ds}
 \equiv p_n(t)+M,\quad t \in I.
\]
So, if $p_n$ is a function of average equals to zero, the parameter
$M$ represents the average of the coefficient of $u$ and, as a consequence,
the problem of finding the values of $M$ for which the Green's function
has constant sign is equivalent to look for the values of the average of
such a coefficient.

We study \eqref{Ec::T_n[M]}, coupled with the boundary conditions:
\begin{gather}
\label{Ec::cfa} u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_k)}(a)=0\,,\\
\label{Ec::cfb} u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k})}(b)=0\,.
\end{gather}

This boundary conditions cover many different problems. As an example,
we can consider $n=4$, $\{\sigma_1,\sigma_2\}=\{0,2\}$ and
$\{\varepsilon_1,\varepsilon_2\}=\{0,2\}$ which correspond to the simply
supported beam boundary conditions.

Note that, in the second order case, the Neumman conditions do not
satisfy property $(N_a)$. However, Dirichlet and Mixed conditions are included.

In this article, we will illustrate the obtained results with
an example based on the choice of $\{\sigma_1,\sigma_2\}=\{0,2\}$ and
$\{\varepsilon_1,\varepsilon_2\}=\{1,2\}$.

 We consider the following definitions related to the boundary
conditions \eqref{Ec::cfa}-\eqref{Ec::cfb}:
 \begin{equation} \label{Ec::X_se}
\begin{split}
 X_{\{\sigma_1,\dots, \sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}&=\big\{ u\in C^n(I):u^{(\sigma_1)}(a)
=\cdots=u^{(\sigma_k)}(a)=u^{(\varepsilon_1)}(b) \\
&\quad =\cdots=u^{(\varepsilon_{n-k})}(b)=0\big\}.
\end{split}
 \end{equation}

\begin{remark} \rm
 In this article we consider different choices of boundary conditions.
Sometimes, we do not know the relative position of the given indices
which define the spaces of definition. In particular, if we consider
the following boundary conditions
\begin{gather*}
 u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_{k-1})}(a)=0\,,\\
 u^{(\alpha)}(a)=0\,,\\
 u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k})}(b)=0\,,
 \end{gather*}
with $\alpha$ defined by \eqref{Ec::alpha}.

To point out this setting of the indices we use the following notation:
\begin{align*}
X_{\{\sigma_1,\dots, \sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}
=\big\{& u\in C^n(I): u^{(\sigma_1)}(a)=\cdots =u^{(\sigma_{k-1})}(a)=0\,,\\
& u^{(\alpha)}(a)=0\,, u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k})}(b)=0\big\}.
\end{align*}
Analogously, we denote the following sets of functions:
 \begin{gather*}
\begin{aligned}
X_{\{\sigma_1,\dots, \sigma_{k}|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k-1}\}}
=\big\{& u\in C^n(I): u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_{k})}(a)=0\,,\\
& u^{(\alpha)}(a)=0\,,
 u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k-1})}(b)=0\big\},
\end{aligned}\\
\begin{aligned}
X_{\{\sigma_1,\dots, \sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}|\beta\}}
=\big\{& u\in C^n(I): u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_{k-1})}(a)=0\,,\\
& u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k})}(b)=0\,,\
u^{(\beta)}(b)=0\big\},
\end{aligned}\\
\begin{aligned}
X_{\{\sigma_1,\dots, \sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}
=\big\{& u\in C^n(I):u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_{k})}(a)=0\,,\\
& u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k-1})}(b)=0\,,
 u^{(\beta)}(b)=0\big\}.
\end{aligned}
 \end{gather*}

For instance, if $n=4$, $\sigma_1=0$, $\sigma_2=2$, $\varepsilon_1=0$ and
$\varepsilon_2=1$, then
$X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\varepsilon_2\}}=X_{\{0,1\}}^{\{0,1\}}$,
where $\sigma_1=0<\alpha=1$. On another hand, if $\sigma_1=2$, $\sigma_2=3$,
$\varepsilon_1=0$ and $\varepsilon_2=1$, then
$X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\varepsilon_2\}}=X_{\{0,2\}}^{\{0,1\}}$
where $\alpha=0<\sigma_1=2$.
\end{remark}

So, we are interested into characterize the parameter's set for which the
operator $T_n[M]$ is either strongly inverse positive or negative
on $X_{\{\sigma_1,\dots, \sigma_k\}}^{\{\varepsilon_1,\dots, \varepsilon_{n-k}\}}$.


Moreover, once we have obtained such a characterization with the homogeneous
boundary conditions \eqref{Ec::cfa}-\eqref{Ec::cfb}, we study its strongly
inverse positive (negative) character on related spaces with non homogeneous
 boundary conditions.

The work is structured as follows, at first, in order to make the paper more
readable, we introduce a preliminary section where some previous known
results are shown. After that, in the next section, we introduce the
hypotheses that both the operator $T_n[M]$ and the boundary conditions
should satisfy to our results be applied. In Section \ref{S::ad} we obtain the
expression of the related adjoint operator and boundary conditions.
We deduce suitable properties of them. Next section is devoted to the study
of operator $T_n[M]$ for a given $M=\bar M$ that satisfies some suitable
previously introduced hypotheses. After that, in the two next sections,
we study the existence and properties of the related eigenvalues of the
operator and its adjoint, respectively, together to additional properties
of the associated eigenfunctions. Section \ref{chapt7} is devoted to prove the main
 result of the work, where the characterization of the interval of parameters,
where the Green's function has constant sign, is attained. At the end of
such a section, some examples are shown. In Section \ref{chapt8}, we obtain a
necessary condition that $M$ should verify, in order to allow $T_n[M]$
to be strongly inverse negative (positive) on the non considered cases on
Section \ref{chapt7}. At the end of such a section, we prove that this necessary
condition can give an optimal interval in some cases. Once we have worked
with the homogeneous boundary conditions, we obtain a characterization
for a particular case of non homogeneous boundary conditions. Finally,
we study a class of operators that satisfy the imposed hypotheses.
Moreover, for this type of operators, we obtain a characterization
for more general non homogeneous boundary conditions.
The section finishes by showing some examples of this class of operators.

\section{Preliminaries} \label{chapt1}

In this section, for the convenience of the reader, we introduce the
fundamental tools in the theory of disconjugacy and Green's functions that
will be used in the development of further sections.

\begin{definition} \rm
 Let $p_k\in C^{n-k}(I)$ for $k=1,\dots,n$. The $n^{\rm th}$-order linear
differential equation \eqref{Ec::T_n[M]} is said to be disconjugate on $I$
if every non trivial solution has less than $n$ zeros on $I$, multiple
zeros being counted according to their multiplicity.
\end{definition}

\begin{definition} \rm
 The functions $u_1,\dots, u_n \in C^n(I)$ are said to form a Markov system
on the interval $I$ if the $n$ Wronskians
 \begin{equation}
 W(u_1,\dots,u_k)= \begin{vmatrix}
 u_1&\cdots& u_k\\
 \vdots&\cdots&\vdots\\
 u_1^{(k-1)}&\cdots&u_k^{(k-1)}\end{vmatrix}\,,\quad k=1,\dots,n \,,
 \end{equation}
 are positive throughout $I$.
\end{definition}

The following results about this concept are collected on \cite[Chapter 3]{Cop}.

\begin{theorem}\label{T::4}
 The linear differential equation \eqref{Ec::T_n[M]} has a Markov fundamental
system of solutions on the compact interval $I$ if and only if it is
 disconjugate on $I$.
\end{theorem}

\begin{theorem}\label{T::3}
 The linear differential equation \eqref{Ec::T_n[M]} has a Markov system of
solutions if and only if the operator $T_n[M]$ has a representation
 \begin{equation} \label{e-descomp}
 T_n[M]\,y\equiv v_1 v_2\,\dots v_n \frac{d}{dt}
\Big( \frac{1}{v_n} \frac{d}{dt}\Big( \cdots \frac{d}{dt}
\big( \frac{1}{v_2} \frac{d}{dt}( \frac{1}{v_1}\,y) \big) \Big) \Big),
 \end{equation}
 where $v_k>0$ on $I$ and $v_k\in C^{n-k+1}(I)$ for $k=1,\dots,n$.
\end{theorem}


To introduce the concept of Green's function related to the $n^{\rm th}$-order
scalar problem \eqref{Ec::T_n[M]}--\eqref{Ec::cfb}, we consider the
following equivalent first-order vectorial problem:
\begin{equation}\label{Ec::vec}
x'(t)=A(t)\, x(t)\,,\; t\in I\,,\quad
B\,x(a)+C\,x(b)=0,
\end{equation}
with $x(t) \in \mathbb{R}^n$, $A(t),  B, C\in \mathcal{M}_{n\times n}$, defined by
\[
x(t)=\begin{pmatrix}
u(t)\\
u'(t)\\
\vdots\\
u^{(n-1)}(t) \end{pmatrix},\, \quad
A(t)=\left(\begin{array}{c|c}
&\\
0&\quad I_{n-1}\quad\\
&\\
\hline
-(p_n(t)+M)&-p_{n-1}(t)\cdots-p_1(t) \end{array}\right),
\]
\begin{equation}\label{Ec::Cf}
B=\begin{pmatrix} b_{11}&\cdots&b_{1n}\\
\vdots&\ddots&\vdots\\
b_{n1}&\cdots&b_{nn}\end{pmatrix}, \quad
C=\begin{pmatrix} c_{11}&\cdots&c_{1n}\\
\vdots&\ddots&\vdots\\
c_{n1}&\cdots&c_{nn}\end{pmatrix},
\end{equation}
where $b_{j,1+\sigma_j}=1$ for $j=1,\dots,k$ and $c_{j+k,1+\varepsilon_j}=1$
for $j=1,\dots,n-k$; otherwise, $b_{ij}=0$ and $c_{ij}=0$.

\begin{definition} \label{Def::G} \rm
 We say that $G$ is a Green's function for problem \eqref{Ec::vec} if it
satisfies the following properties:
 \begin{itemize}
\item[(1)]
$G\equiv (G_{i,j})_{i,j\in\{1,\dots,n\}}\colon (I\times I)\backslash
\{ (t,t)\,,\ t\in I\} \to \mathcal{M}_{n\times n}$.

\item[(2)] $G$ is a $C^{1}$ function on the triangles
$\{ (t,s)\in \mathbb{R}^2\,,\, a\leq s<t\leq b\} $ and \\
$\{ (t,s)\in \mathbb{R}^2\,,\, a\leq t < s\leq b\} $.

\item[(3)] For all $i\neq j$ the scalar functions $G_{i,j}$
have a continuous extension to $I\times I$.

\item[(4)] For all $s\in(a,b)$, the following equality holds:
\[
\frac{\partial }{\partial t}\, G(t,s)=A(t)\,G(t,s),\quad \text{for all }
t\in I\backslash \left\{ s\right\} .
\]

\item[(5)] For all $s\in(a,b)$ and $i\in\{ 1,\dots, n\} $,
the following equalities are fulfilled:
\[
\lim_{t\to s^+}G_{i,i}(t,s)=\lim_{t\to s^-}G_{i,i}(s,t)
=1+\lim_{t\to s^+}G_{i,i}(s,t)=1+\lim_{t\to s^-}G_{i,i}(t,s).
\]

 \item[(6)] For all $s\in(a,b)$, the function $t\to G(t,s)$
satisfies the boundary conditions
 \[
B\,G(a,s)+C\,G(b,s)=0.
\]
 \end{itemize}
\end{definition}

\begin{remark}\label{R:2.5} \rm
 On the previous definition, item $\mathrm{(G5)}$ can be modified to obtain
the characterization of the lateral limits for $s=a$ and $s=b$ as follows:
 \[
\lim_{t\to a^+}G_{i,i}(t,a)=1+\lim_{t\to a^+}G_{i,i}(a,t),\quad\text{and}\quad
 \lim_{t\to b^-}G_{i,i}(b,t)=1+\lim_{t\to b^-}G_{i,i}(t,b).
\]
\end{remark}

It is well known that Green's function related to this problem is given by
the following expression \cite[Section 1.4]{Cab}
 \begin{equation}\label{Ec:MG}
\begin{aligned}
&G(t,s)\\
&=\begin{pmatrix}
g_1(t,s)&g_2(t,s)&\cdots&g_{n-1}(t,s)&g_M(t,s)\\&&&&\\
\frac{\partial }{\partial t} g_1(t,s)& \frac{\partial }{\partial t} g_2(t,s)
&\cdots&\frac{\partial }{\partial t} g_{n-1}(t,s)
 & \frac{\partial }{\partial t} g_M(t,s)\\
\vdots&\vdots&\cdots&\vdots&\vdots\\
\frac{\partial^{n-1} }{\partial t^{n-1}} g_1(t,s)
&\frac{\partial^{n-1} }{\partial t^{n-1}} g_2(t,s)
&\cdots&\frac{\partial^{n-1} }{\partial t^{n-1}} g_{n-1}(t,s)
&\frac{\partial^{n-1}} {\partial t^{n-1}} g_M(t,s)
\end{pmatrix},
\end{aligned}
\end{equation}
where $g_M(t,s)$ is the scalar Green's function related to
$T_n[M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.

Using Definition \ref{Def::G} we can deduce the properties fulfilled by $g_M(t,s)$.
In particular, $g_M\in C^{n-2}(I \times I)$ and it is a $C^n$
function on the triangles $a\le s < t \le b$ and $a\le t < s \le b$.
Moreover it satisfies, as a function of $t$, the two-point boundary-value
conditions \eqref{Ec::cfa}-\eqref{Ec::cfb} and solves equation \eqref{Ec::T_n[M]}
whenever $t \neq s$.


In \cite{CabSaa} $g_{n-j}(t,s)$ are expressed as functions of $g_M(t,s)$
for all $j=1,\dots,n-1$ as follows:
\begin{equation}
\label{Ec::gj} g_{n-j}(t,s)=(-1)^j\frac{\partial^j}{\partial\,s^j} g_M(t,s)
+\sum_{i=0}^{j-1}\alpha_i^j(s) \frac{\partial^i}{\partial s^i}g_M(t,s)\,,
\end{equation}
where $\alpha_i^j(s)$ are functions of $p_1(s)\,,\dots,\ p_j(s)$
and of its derivatives up to order $(j-1)$ and follow the recurrence formula
\begin{gather}
\label{r2} \alpha_0^0(s)=0\,,\\
\alpha_i^{j+1}(s)=0\,,\quad i\geq j+1\geq1 ,\\
\label{r1}
\alpha_0^{j+1}(s)=p_{j+1}(s)-\big(\alpha_0^j\big) '(s), \quad j \geq 0,\\
 \label{r4}
\alpha_i^{j+1}(s)=-\Big( \alpha_{i-1}^j(s)+\big(\alpha_i^j\big) '(s)\Big),
 \quad 1\leq i\leq j.
\end{gather}

The adjoint of the operator $T_n[M]$ is given by the following expression,
 see for details \cite[Section 1.4]{Cab} or \cite[Chapter 3, Section 5]{Cop},
\begin{equation}\label{EC::Ad}
T_n^*[M]v (t)\equiv (-1)^n v^{(n)}(t)+\sum_{j=1}^{n-1}(-1)^j\,
\Big(p_{n-j} v\Big)^{(j)}(t)+(p_n(t)+M) v(t)\,,
\end{equation}
and its domain of definition is
\begin{equation} \label{Ec::cfad}
 \begin{aligned}
 D(T_n^*[M])&=\Big\{ v\in C^n(I): \sum_{j=1}^{n}\sum_{i=0}^{j-1}
 (-1)^{j-1-i} (p_{n-j} v)^{(j-1-i)}(b) u^{(i)}(b) \\
& \quad =\sum_{j=1}^{n}\sum_{i=0}^{j-1} (-1)^{j-1-i} (p_{n-j} v)^{(j-1-i)}(a)
 u^{(i)}(a) \\
&\quad \text{ (with $p_0=1$)}\,, \forall u\in D(T_n[M])\Big\} .
\end{aligned}
\end{equation}

Next result appears in \cite[Chapter 3, Theorem 9]{Cop}.

\begin{theorem}\label{T::2}
 Equation \eqref{Ec::T_n[M]} is disconjugate on an interval $I$ if and only if
the adjoint equation, $T_n^*[M]\,y(t)=0$ is disconjugate on $I$.
\end{theorem}

We denote $g_M^*(t,s)$ as the Green's function related to the adjoint operator,
$T_n^*[M]$.
In \cite[Section 1.4]{Cab} it is proved the following relationship
\begin{equation} \label{Ec::gg}
g^*_M(t,s)=g_M(s,t)\,.
\end{equation}

Now, let us define the operator
\begin{equation}\label{Ec::Tg}
\widehat{T}_n[(-1)^n\,M]:=(-1)^n T_n^*[M] \,,
\end{equation}
we deduce, from the previous expressions, that
\begin{equation}\label{Ec::gg1}
\widehat{g}_{(-1)^n\,M}(t,s)=(-1)^n g_M^*(t,s)=(-1)^n g_{M}(s,t)\,,
\end{equation}
where $\widehat g_{(-1)^nM}(t,s)$ is the scalar Green's function related
to operator $\widehat T_n[(-1)^nM]$ in $D\left( T_n^*[M]\right)$.

Obviously, Theorem \ref{T::2} remains true for operator
$\widehat{T}_n[(-1)^n\,M]$.


\begin{definition} \label{d-IP} \rm
Operator $T_n[M]$ is  inverse positive (negative) on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
if every function $u \in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$ such that $T_n[M]\, u \ge 0$ on $I$, satisfies
 $u\geq 0$ ($u\leq 0$) on $I$.
\end{definition}

Next results are consequence of the ones proved on
\cite[Section 1.6, Section 1.8]{Cab} for several two-point $n$-order operators.

\begin{theorem}\label{T::in1}
 Operator $T_n[M]$ is inverse positive (negative) on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
if and only if Green's function related to problem
\eqref{Ec::T_n[M]}--\eqref{Ec::cfb} is non-negative (non-positive)
on its square of definition.
\end{theorem}

\begin{theorem}\label{T::d1}
 Let $M_1$, $M_2\in\mathbb{R}$ and suppose that operators $T_n[M_j]$, $j=1,2$,
are invertible on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 Let $g_j$, $j=1,2$, be Green's functions related to operators
$T_n[M_j]$ and suppose that both functions have the same constant sign on
$I \times I$. Then, if $M_1<M_2$, it is satisfied that $g_2\leq g_1$ on
$I \times I$.
\end{theorem}


 \begin{theorem}\label{T::int}
 Let $M_1<\bar{M}<M_2$ be three real constants. Suppose that operator $T_n[M]$
is invertible on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ for $M=M_j$, $j=1,2$ and that the corresponding Green's
function satisfies $g_2\leq g_1\leq 0$ (resp. $0\leq g_2\leq g_1$) on
$I\times I$. Then the operator $T_n[\bar{M}]$ is invertible on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
and the related Green's function $\bar{g}$ satisfies
$g_2\leq \bar{g}\leq g_1\leq 0$ ($0\leq g_2\leq \bar{g}\leq g_1$) on $I\times I$.
 \end{theorem}

Now, we introduce a stronger concept of inverse positive (negative) character.

\begin{definition} \label{d-SIP} \rm
 Operator $T_n[M]$ is  strongly inverse positive
on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
if every function $u \in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ such that $T_n[M]\, u \gneqq 0$ on $I$, must verify $u> 0$
on $(a,b)$ and, moreover, $u^{(\alpha)}(a)>0$ and $u^{(\beta)}(b)>0$ if $\beta$
is even, $u^{(\beta)}(b)<0$ if $\beta$ is odd, where $\alpha$ and $\beta$ are
defined in \eqref{Ec::alpha} and \eqref{Ec::beta}, respectively.
\end{definition}

\begin{definition} \label{d-SIN} \rm
 Operator $T_n[M]$ is strongly inverse negative on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
if every function $u \in X_{\{\sigma_1,\dots,
\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ such that
 $T_n[M]\, u \gneqq 0$ on $I$, must verify $u<0$ on $(a,b)$ and, moreover,
$u^{(\alpha)}(a)<0$ and $u^{(\beta)}(b)<0$ if $\beta$ is even,
$u^{(\beta)}(b)>0$ if $\beta$ is odd, where $\alpha$ and $\beta$ are defined
in \eqref{Ec::alpha} and \eqref{Ec::beta}, respectively.
\end{definition}

Analogously to Theorem \ref{T::in1}, the following ones can be shown.

\begin{theorem}\label{T::in2}
 Operator $T_n[M]$ is strongly inverse positive on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
if and only if Green's function related to problem
\eqref{Ec::T_n[M]}--\eqref{Ec::cfb}, $g_M(t,s)$, satisfies the following properties:
 \begin{itemize}
 \item $g_M(t,s)>0$ a.e. on $(a,b)\times (a,b)$.
 \item $\frac{\partial^\alpha}{\partial t^\alpha}g_M(t,s)\big|_{t=a}>0$
for a.e. $s\in(a,b)$.
 \item $\frac{\partial^\beta}{\partial t^\beta}g_M(t,s)\big|_{t=b}>0$
 if $\beta$ is even and $\frac{\partial^\beta}{\partial t^\beta}g_M(t,s)\big|_{t=b}<0$ if $\beta$ is odd for a.e. $s\in(a,b)$.
 \end{itemize}
\end{theorem}

 \begin{theorem}\label{T::in21}
 Operator $T_n[M]$ is strongly inverse negative on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ if and only if Green's function related to problem
\eqref{Ec::T_n[M]}--\eqref{Ec::cfb}, $g_M(t,s)$, satisfies the following properties:
 \begin{itemize}
 \item $g_M(t,s)<0$ a.e. on $(a,b)\times (a,b)$.
 \item $ \frac{\partial^\alpha}{\partial t^\alpha}g_M(t,s)\big|_{t=a}<0$
for a.e. $s\in(a,b)$.
 \item $ \frac{\partial^\beta}{\partial t^\beta}g_M(t,s)\big|_{t=b}<0$ if
$\beta$ is even and $ \frac{\partial^\beta}{\partial t^\beta}g_M(t,s)\big|_{t=b}>0$
if $\beta$ is odd for a.e. $s\in(a,b)$.
 \end{itemize}
 \end{theorem}


Next, we introduce two conditions on $g_M(t,s)$ that will be used in this paper.
\begin{itemize}
 \item[(A2.1)] Suppose that there is a continuous function
$\phi(t)>0$ for all $t\in (a,b)$ and $k_1, k_2\in \mathcal{L}^1(I)$,
 such that $0<k_1(s)<k_2(s)$ for a.e. $s\in I$, satisfying
 \[
\phi(t)\,k_1(s)\leq g_M(t,s)\leq \phi(t)\, k_2(s)\,,\quad \text{a.e. }
(t,s)\in I \times I \,.
\]
 \item[(A2.2)] Suppose that there is a continuous function $\phi(t)>0$
for all $t\in (a,b)$ and $k_1, k_2\in \mathcal{L}^1(I)$, such that
$k_1(s)<k_2(s)<0$ a.e. $s\in I$, satisfying
 \[\phi(t)\,k_1(s)\leq g_M(t,s)\leq \phi(t)\, k_2(s)\,,\quad \text{a.e. }
(t,s)\in I \times I\,.
\]
\end{itemize}

Finally, we introduce the following sets that characterize where the Green's
function is of constant sign,
\begin{align}
P_T&= \left\{ M\in \mathbb{R}: g_M(t,s)\geq 0\; \forall (t,s)\in I\times I\right\}, \\
N_T&= \left\{ M\in \mathbb{R}: g_M(t,s)\leq 0\; \forall (t,s)\in I\times I\right\}.
\end{align}


Note that, using Theorem \ref{T::d1}, we can affirm that the two
previous sets are real intervals (which can be empty in some situations).

The next results describe one of the extremes of the two previous
intervals (see \cite[Theorems 1.8.31 and 1.8.23]{Cab}).

\begin{theorem}\label{T::6}
 Let $\bar{M}\in \mathbb{R}$ be fixed. If $T_n[\bar{M}]$ is an invertible
operator on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and its related Green's function satisfies condition (A2.1),
 then the following statements hold:
 \begin{itemize}

 \item There is $\lambda_1>0$, the least eigenvalue in absolute value of operator
$T_n[\bar{M}]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$. Moreover, there exists a nontrivial constant sign
eigenfunction corresponding to the eigenvalue $\lambda_1$.

 \item Green's function related to operator $T_n[M]$ is nonnegative on
$I\times I$ for all $M\in(\bar{M}-\lambda_1,\bar{M}]$.

 \item Green's function related to operator $T_n[M]$ cannot be nonnegative on $I\times I$ for all $M<\bar{M}-\lambda_1$.
 \item If there is $M\in \mathbb{R}$ for which Green's function related to operator $T_n[M]$ is non-positive on $I\times I$, then $M<\bar{M}-\lambda_1$.
 \end{itemize}
\end{theorem}

\begin{theorem}\label{T::7}
 Let $\bar{M}\in \mathbb{R}$ be fixed. If $T_n[\bar{M}]$ is an invertible operator
on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and its related Green's function satisfies condition {\rm (A2.2)},
 then the following statements hold:
 \begin{itemize}
 \item There is $\lambda_2<0$, the least eigenvalue in absolute value of operator $T_n[\bar{M}]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_2$.
 \item Green's function related to operator $T_n[M]$ is non-positive on $I\times I$ for all $M\in[\bar{M},\bar{M}-\lambda_2)$.
 \item Green's function related to operator $T_n[M]$ cannot be non-positive on $I\times I$ for all $M>\bar{M}-\lambda_2$.
 \item If there is $M\in \mathbb{R}$ for which Green's function related to operator $T_n[M]$ is nonnegative on $I\times I$, then $M>\bar{M}-\lambda_2$.
 \end{itemize}
\end{theorem}


Next results give some relevant properties of the intervals $N_T$ and $P_T$.

\begin{theorem}\label{T::8}
 Let $\bar{M}\in \mathbb{R}$ be fixed. If $T_n[\bar{M}]$ is an invertible
 operator on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ and its related Green's function satisfies condition (A2.1); then if the interval $N_T\neq \emptyset$, then $\sup(N_T)=\inf(P_T)$.
\end{theorem}

\begin{theorem}\label{T::9}
 Let $\bar{M}\in \mathbb{R}$ be fixed. If $T_n[\bar{M}]$ is an invertible
operator on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$ and its related Green's function satisfies
condition (A2.2); then if the interval $P_T\neq \emptyset$, then
$\sup(N_T)=\inf(P_T)$.
\end{theorem}

By using these results, we know that one of the extremes of the interval of constant sign of the Green's function, if it is not empty, is characterized by its first eigenvalue. So, the rest of the paper is devoted to characterize the other extreme of the interval, provided that it is bounded.

\section{Hypotheses on the operator $T_n[M]$} \label{chapt2}

As we have mentioned at the introduction, the aim of this work is to
generalize the results given in \cite{CabSaa} and \cite{CabSaa2}.

In \cite{CabSaa}, the problems studied are the so-called $(k,n-k)$
boundary conditions which correspond to
$\{\sigma_1,\dots,\sigma_k\}=\{0,\dots,k-1\}$ and $\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}=\{0,\dots,n-k-1\}$. We will characterize
the parameter's set where the Green's function has constant sign,
by assuming that the boundary conditions satisfy $(N_a)$, which, clearly,
holds for $(k,n-k)$.

By using Theorems \ref{T::4} and \ref{T::3}, under the hypothesis that
\eqref{Ec::T_n[M]} is disconjugate on $[a,b]$, it is proved in
\cite{CabSaa} the existence of a decomposition as follows:
\begin{equation*}
 T_0 u(t)=u(t)\,,\quad T_k u(t)=\frac{d}{dt}\Big( \frac{T_{k-1} u(t)}{v_k(t)}\Big) \,,
\quad k = 1,\dots, n\,,
\end{equation*}
where $v_k>0$, $v_k\in C^{n}(I)$ such that
\begin{equation*}
T_n[M] u(t)=v_1(t)\,\dots v_n(t)\,T_n u(t)\,,\ t\in I\,,
\end{equation*}
and, moreover, this decomposition satisfies, for every
$u\in X_{\{0,\dots,k-1\}}^{\{0,\dots,n-k-1\}}$:
\begin{gather*}
 T_0 u(a)=\cdots=T_{k-1} u(a)=0\,,\\
 T_0 u(b)=\cdots=T_{n-k-1} u(b)=0\,.
\end{gather*}

In \cite{CabSaa2}, it is studied a fourth order problem coupled with the
simply supported beam boundary conditions, that is,
$\{\sigma_1,\sigma_2\}=\{\varepsilon_1,\varepsilon_2\}=\{0,2\}$.
It is also obtained a decomposition as follows:
\begin{equation*}
T_0 u(t)=u(t)\,,\quad T_k u(t)=\frac{d}{dt}
\Big( \frac{T_{k-1} u(t)}{v_k(t)}\Big) \,,\quad k = 1,\dots, 4\,,
\end{equation*}
where $v_k>0$, $v_k\in C^{4}(I)$ such that
\begin{equation*}
T_4[M] u(t)=v_1(t)\,\dots v_4(t)\,T_4 u(t)\,,\quad t\in I\,,
\end{equation*}
and, moreover, this decomposition satisfies, for every
$u\in X_{\{0,2\}}^{\{0,2\}}$:
\begin{gather*}
 T_0 u(a)=T_{2} u(a)=0\,,\\
 T_0 u(b)=T_{2} u(b)=0\,.
\end{gather*}

Furthermore, the simplest $n^{th}$-order operator which we can study
is $T_n[0] u(t)=u^{(n)}(t)$. It is obvious that such an operator satisfies
\begin{equation*}
T_0 u(t)=u(t)\,,\quad T_k u(t)=\frac{d}{dt}\Big( \frac{T_{k-1} u(t)}{v_k(t)}\Big)
 \,,\quad k = 1,\dots, n\,,
\end{equation*}
where $v_k\equiv 1$ on $I$ and
\begin{equation*}
T_n[0] u(t)=v_1(t)\,\dots v_n(t)\,T_n u(t)\,,\quad t\in I\,,
\end{equation*}
and, moreover, this decomposition satisfies, for every
$u\in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$:
\begin{gather*}
 T_{\sigma_1} u(a)=u^{(\sigma_1)}(a)=0\,,\dots\,, T_{\sigma_k} u(a)
=u^{(\sigma_k)}(a)=0\,,\\
 T_{\varepsilon_1} u(b)=u^{(\varepsilon_1)}(b)=0\,,\dots\,,T_{\varepsilon_{n-k}} u(b)
=u^{(\varepsilon_{n-k})}(b)=0\,.
\end{gather*}

Thus, it is natural to impose that the operator $T_n[M]$ satisfies the
following property.

\begin{definition}\rm
 We say that the operator $T_n[M]$ satisfies the property $(T_d)$
on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
if and only if there exists the following decomposition:
\begin{equation}
\label{Ec::Td1} T_0 u(t)=u(t)\,,\quad T_k u(t)
=\frac{d}{dt}\Big( \frac{T_{k-1} u(t)}{v_k(t)}\Big) \,,\quad k = 1,\dots, n\,,
\end{equation}
where $v_k>0$, $v_k\in C^{n}(I)$ such that
\begin{equation}\label{Ec::Td2}
T_n[M] u(t)=v_1(t)\,\dots v_n(t)\,T_n u(t)\,,\quad  t\in I\,,
\end{equation}
and, moreover, such a decomposition satisfies, for every
$u\in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$:
\begin{gather*}
 T_{\sigma_1} u(a)=\cdots=T_{\sigma_k} u(a)=0\,,\\
 T_{\varepsilon_1} u(b)=\cdots=T_{\varepsilon_{n-k}} u(b)=0\,.
\end{gather*}
\end{definition}

As we have shown above, the operator $T_n[M] u(t)\equiv u^{(n)}(t)+M u(t)$
satisfies property $(T_d)$ for $M=0$. Indeed, the existence of such a
decomposition for $M=\bar M$ allows to express the operator $T_n[\bar M]$
as a composition of operators of order $1$ verifying the boundary
conditions given on \eqref{Ec::cfa}-\eqref{Ec::cfb}.
That is, in order to study the oscillation, we can think that the operator
 $T_n[\bar M] u(t)$ has an analogous behavior to $u^{(n)}(t)$.

\begin{remark} \rm
By Theorems \ref{T::4} and \ref{T::3}, the disconjugacy of the linear differential
equation \eqref{Ec::T_n[M]} on $I$ is a necessary condition for the operator
$T_n[M]$ to satisfy property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
Furthermore, as it has been proved in \cite{CabSaa}, the disconjugacy
hypothesis is also a sufficient condition for the operator $T_n[M]$
to satisfy property $(T_d)$ on $X_{\{0,\dots,k-1\}}^{\{0,\dots,n-k-1\}}$.
\end{remark}

 \begin{remark} \rm
There may exist different decompositions \eqref{Ec::Td1} depending on the
choice of $v_k$ for $k=1,\dots,n$.
Moreover, even if we are not able to obtain such a decomposition,
we cannot ensure that it does not exist, unless we prove that the
linear differential equation \eqref{Ec::T_n[M]} is not disconjugate.
 \end{remark}

 In \cite{CabSaa}, it is shown that
 \begin{equation}\label{Ec::Tl}
T_\ell u(t)=\frac{1}{v_1(t)\dots v_\ell(t)} u^{(\ell)}(t)
+p_{\ell_1}(t) u^{(\ell-1)}(t)+\cdots p_{\ell_\ell}(t) u(t)\,,
\end{equation}
where $p_{\ell_i}\in C^{n-\ell}(I)$, for every $i=1,\dots,\ell$, and
$\ell=0,\dots,n$.
Now, let us see that
 \begin{gather}
 \label{Ec::pl1}
 p_{\ell_1}(t)=a_1^1(v_1(t),\dots,v_\ell(t)) v_1'(t)+\cdots
+a_1^\ell(v_1(t),\dots,v_\ell(t)) v_\ell'(t)\,,\\
\label{Ec::pl2}
\begin{aligned}
p_{\ell_2}(t)
&= a_2^1(v_1(t),\dots,v_\ell(t)) v_1''(t)+\cdots+a_2^{\ell-1}(v_1(t),
\dots,v_\ell(t)) v_{\ell-1}''(t) \\
&\quad +f_2(v_1(t),\dots,v_\ell(t),v_1'(t),\dots,v_\ell'(t))\,,
\end{aligned} \\
\label{Ec::pl3}
\begin{aligned}
p_{\ell_3}(t)
&= a_3^1(v_1(t),\dots,v_\ell(t)) v_1'''(t)+\cdots+a_3^{\ell-2}(v_1(t),
\dots,v_\ell(t)) v_{\ell-2}'''(t) \\
&\quad +f_3(v_1(t),\dots,v_\ell(t),v_1'(t),\dots,v_\ell'(t),v_1''(t),
 \dots,v_{\ell-1}''(t))\,,
\end{aligned}\\
 \dots \nonumber \\
\label{Ec::pll}
\begin{aligned}
 p_{\ell_\ell}(t)
&= a_\ell^1(v_1(t),\dots,v_\ell(t)) v_1^{(\ell)}(t) \\
&\quad +f_\ell(v_1(t),\dots,v_\ell(t),v_1'(t),\dots,v_\ell'(t),\dots,
v_1^{(\ell-1)}(t),v_2^{(\ell-1)}(t))\,,
 \end{aligned}
\end{gather}
 where $a_i^j\in C^{\infty}\left( (0,+\infty)^\ell\right)$,
$f_i\in C^{\infty}\big((0,\infty)^\ell\times \mathbb{R}^{(i-1)\frac{2\ell-i+2}{2}}
\big) $ for all $\ell=0,\dots,n$, $i=1,\dots,\ell$ and $j=1,\dots,\ell-i+1$.

 We can see that for $\ell=1$ the result is true:
 \begin{equation}\label{Ec::T1}
T_1 u(t)=\frac{d}{dt}\Big( \frac{u(t)}{v_1(t)}\Big)
=\frac{u'(t)}{v_1(t)}-\frac{v_1'(t)}{v_1^2(t)} u(t)\,,
\end{equation}
 hence $a_1^1(x)=-\frac{1}{x^2}$.

 Suppose, by induction hypothesis, that the result is true for a given
$\ell\geq 1$. Then, let us see what happens for $\ell+1$.
 \[
T_{\ell+1}u(t)=\frac{d}{dt}\Big(\frac{1}{v_1(t)\dots v_{\ell+1}(t)}
 u^{(\ell)}(t)+\frac{p_{\ell_1}(t)}{v_{\ell+1}(t)} u^{(\ell-1)}(t)
+\cdots +\frac{p_{\ell_\ell}(t)}{v_{\ell+1}(t)} u(t)\Big)\,,
\]
 or, which is the same,
 \[
T_{\ell+1}u(t)=\frac{1}{v_1(t)\dots v_{\ell+1}(t)} u^{(\ell+1)}(t)
+p_{{\ell+1}_1}(t) u^{(\ell)}(t)+\cdots+ p_{{\ell+1}_{\ell+1}}(t) u(t)\,,
\]
 where
\begin{gather*}
p_{\ell+1_1}(t)=\frac{d}{dt}\Big( \frac{1}{v_1(t)\dots v_{\ell+1}(t)}\Big)
 +\frac{p_{\ell_1}(t)}{v_{\ell+1}(t)}\,,\\
 p_{\ell+1_j}(t)=\frac{d}{dt}\Big( \frac{p_{\ell_{j-1}}(t)}{v_{\ell+1}(t)}\Big)
 +\frac{p_{\ell_j}(t)}{v_{\ell+1}(t)}\,,\quad 2\leq j\leq \ell\,,\\
 p_{\ell+1_{\ell+1}}(t)=\frac{d}{dt}\Big( \frac{p_{\ell_\ell}(t)}{v_{\ell+1}(t)}
 \Big) \,,
 \end{gather*}
 which clearly satisfy \eqref{Ec::pl1}--\eqref{Ec::pll} for $\ell+1$.

 \begin{example}\label{Ex::1} \rm
 Now, let us show, as an example, the expression of $T_2u(t)$:
 \begin{align*}
T_2u(t)&=\frac{d}{dt}\Big( \frac{T_1u(t)}{v_2(t)}\Big) \\
&=\frac{u''(t)}{v_1(t)v_2(t)}-u'(t)\frac{2v_2(t)v_1'(t)
 +v_1(t)v_2'(t)}{v_1^2(t)v_2^2(t)}\\
&\quad +u(t)\frac{v_1(t)v_1'(t)v_2'(t)+v_2(t)\big( 2{v_1'}^2(t)
 -v_1(t)v_1''(t)\big) }{v_1^3(t)v_2^2(t)}\,.
 \end{align*}
In this case, $a_1^1(x,y)=-\frac{2}{x^2\,y}$, $a_1^2(x,y)=-\frac{1}{x\,y^2}$,
$a_2^1(x,y)=-\frac{1}{x^2\,y}$ and $f(x,y,z,t)=\frac{x\,z\,t+2\,y\,z^2}{x^3\,y^2}$.
 \end{example}

 \begin{remark}\label{R::1} \rm
From the arbitrariness of the choice of
$u\in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
if the operator $T_n[\bar M]$ satisfies the property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ then,
for each $\ell$ which belongs to $\{\sigma_1,\dots,\sigma_k\}$, we have that
 \[
T_\ell u(a)=\frac{1}{v_1(a)\dots v_\ell(a)} u^{(\ell)}(a)
+p_{\ell_1}(a) u^{(\ell-1)}(a)+\cdots p_{\ell_\ell}(a) u(a)=0\,,
\]
 implies that $p_{\ell_h}(a)=0$ for each $h\in\{1,\dots,\ell\}$ such that
 $\ell-h\notin\{\sigma_1,\dots,\sigma_k\}$.

Analogously, for each
 $\ell\in\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$
 \[
T_\ell u(b)=\frac{1}{v_1(b)\dots v_\ell(b)} u^{(\ell)}(b)+p_{\ell_1}(b)
u^{(\ell-1)}(b)+\cdots p_{\ell_\ell}(b) u(b)=0\,,
\]
 implies that $p_{\ell_h}(b)=0$ for each $h\in\{1,\dots,\ell\}$ such that
$\ell-h\notin\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$.
 \end{remark}

 Now, we deduce two results which are a straight consequence of
property $(T_d)$ and previous Remark.

 \begin{lemma} \label{L::1}
 Let $\bar M\in\mathbb{R}$ be such that $T_n[\bar M]$ satisfies  property
$(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$. If $u\in C^n([a,c))$, where $c>a$, is a function
that satisfies $u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_{\ell-1})}(a)=0$, for
$\ell=1,\dots,k$, then
\begin{gather*}
T_{\sigma_1} u(a)=\cdots=T_{\sigma_{\ell-1}} u(a)=0\,,\\
T_{\sigma_\ell} u(a)=f(a) u^{(\sigma_\ell)}(a)\,,\
\end{gather*}
 where
 \begin{equation*}
 f(t)=\frac{1}{v_1(t)\,\dots v_{\sigma_\ell}(t)}>0\,,\quad t\in I\,.
 \end{equation*}
In particular, $u^{(\sigma_\ell)}(a)=0$ if and only if $T_{\sigma_\ell}u(a)=0$.
 \end{lemma}

\begin{proof}
 We only have to take into account expression \eqref{Ec::Tl} and
Remark \ref{R::1} to deduce the result directly.
 \end{proof}

We have an analogous result for $t=b$.

\begin{lemma} \label{L::2}
 Let $\bar M\in\mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
$(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$. If $u\in C^n((c,b])$, where $c<b$,
is a function that satisfies
$u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{\ell-1})}(b)=0$,
for $\ell \in\{1,\dots,n-k\}$, then
\begin{gather*}
T_{\varepsilon_1} u(b)=\cdots=T_{\varepsilon_{\ell-1}} u(b)=0\,, \\
T_{\varepsilon_{\ell}} u(b)=g(b) u^{(\varepsilon_{\ell})}(b)\,,
\end{gather*}
 where
 \begin{equation*}
 g(t)=\frac{1}{v_1(t)\dots v_{\varepsilon_{\ell}}(t)}>0\,,\ t\in I\,.
 \end{equation*}
In particular, if $u^{(\varepsilon_{\ell})}(b)=0$, then
$T_{\varepsilon_{\ell}}u(b)=0$.
 \end{lemma}

As in Lemma \ref{L::1}, the proof follows
from \eqref{Ec::Tl} and Remark \ref{R::1}.
Now, we prove a preliminary result, which ensures that Green's
function is well-defined for the operator $T_n[M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
provided that it satisfies the property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 \begin{lemma}\label{L::11}
 Let $\bar{M}\in\mathbb{R}$ be such that $T_n[\bar{M}]$ satisfies
property $(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
Then $\{\sigma_1,\dots,\sigma_k\}-\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$
satisfy $(N_a)$ if and only if $M=0$ is not an eigenvalue of $T_n[\bar{M}]$
on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{lemma}

 \begin{proof}
To prove the sufficient condition, let us consider
$u\in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
such that
 \[
T_n[\bar{M}] u(t)=0\,,t\in I\,.
\]

We will see that necessarily $u\equiv 0$ in $I$.
Since the operator $T_n[\bar{M}]$ satisfies the property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
we can use the decomposition given in \eqref{Ec::Td1}; so, we have
 \[
0=T_n[\bar{M}] u(t)=v_1(t)\,\dots v_n(t)\,T_n u(t)\,,\quad t\in I\,,
\]
 which, since $v_1\,,\dots,v_n>0$, implies that
 \[
T_n u(t)=\frac{d}{dt}\Big( \frac{T_{n-1} u(t)}{v_n(t)}\Big) =0\,,\quad  t\in I\,,
\]
 hence $\frac{T_{n-1} u(t)}{v_n(t)}$ is a constant function on $I$. So, since
$v_n>0$ on $I$, $T_{n-1} u(t)$ is of constant sign on $I$.
Hence $\frac{T_{n-2} u(t)}{v_{n-2}(t)}$ is a monotone function, with at
 most one zero on $I$. As before, since $v_{n-2}(t)>0$ on $I$, we can
conclude that $T_{n-2} u(t)$ can have at most one zero on $I$.
Proceeding analogously, we conclude that $u$ can have at most $n-1$ zeros on $I$.

If $T_\ell u\neq 0$ for all $\ell=1,\dots,n-1$, then each time that
$T_\ell u(a)=0$ or $T_\ell u(b)=0$ a possible oscillation is lost. Indeed,
if the maximum number of zeros for $T_\ell u$ on $I$ is $h$ and one of them
is found in either $t=a$ or $t=b$, then $T_\ell u$ can have at most $h-1$
sign changes on $I$ ($h-2$ if both $T_\ell u(a)=T_\ell u(b)=0$).
Since $T_n[\bar{M}]$ satisfies property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
 $T_{\ell} u(a)=0$ or $T_\ell u(b)=0$, at least $n$ times.

If $T_\ell u(t)\neq 0$ for all $\ell=1,\dots, n-1$, $n$ possible oscillations
are lost, since $u$ can have $n-1$ zeros with maximal oscillation, this
implies that necessarily $u\equiv 0$.

If there exists some $\ell\in \{1,\dots,n-1\}$, such that
$T_\ell u(t)\equiv 0$ on $I$, let us choose the least $\ell$ that satisfy
this property. With the same arguments as before, we can conclude that the
maximum number of zeros which $u$ can have is $\ell-1$.

Using the fact that $\{\sigma_1,\dots,\sigma_k\}
-\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$ satisfy $(N_a)$, we know that
$T_h u(a)=0$ or $T_h u(b)=0$ at least $\ell$ times from $h=0$ to $\ell$.
Therefore, we lose $\ell$ possible oscillations, hence $u\equiv 0$.
And, we can conclude that $0$ is not an eigenvalue of $T_n[\bar{M}]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 Reciprocally, to prove the necessary condition, let us assume that
$\{\sigma_1,\dots,\sigma_k\}-\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$
do not satisfy ($N_a$). Then, there exists $h_0\in\{1,\dots,n-1\}$ such that
 \[
\sum_{\sigma_j<h_0}1+\sum_{\varepsilon_j<h_0}1<h_0\,.
\]
Thus, there always exists a nontrivial function verifying the boundary
conditions \eqref{Ec::cfa}-\eqref{Ec::cfb} for $\sigma_\ell<h_0$
and $\varepsilon_\ell<h_0$ such that $T_hu(t)=0$.

 Trivially, $T_{\sigma_\ell} u(a)=0$ and $T_{\varepsilon_\ell} u(b)=0$
for either $\sigma_\ell>h_0$ or $\varepsilon_\ell>h_0$. Thus, by applying
Lemmas \ref{L::1} and \ref{L::2} inductively, we conclude that
$u\in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
As a consequence, it is obvious that $M=0$ is an eigenvalue of
$T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{proof}

 \section{Study of the adjoint operator, $T_n^*[M]$} \label{S::ad}

To obtain the characterization of the Green's function sign, as it has been
done in \cite{CabSaa} and \cite{CabSaa2}, it is necessary to study the
adjoint operator, $T_n^*[M]$, defined in \eqref{EC::Ad}. So, this section
 is devoted to make an analysis of such an operator and some of its properties
in relation with the hypotheses on operator $T_n[M]$ given in the previous section.

So, we describe the space $D(T_n^*[M])$, defined in \eqref{Ec::cfad}
by taking into account that, in our case,
$D(T_n[M])=X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.

Let us denote $D(T_n^*[M])=X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$,
and consider the sets
\[
\{\delta_1,\dots,\delta_k\}\,,\{\tau_1,\dots,\tau_{n-k}\}\subset\{0,\dots,n-1\},
\]
such that $\delta_i<\delta_{i+1}$ and $\tau_j<\tau_{j+1}$, for $i=1,\dots,k-1$
and $j=1,\dots,n-k-1$, satisfying:
\begin{gather*}
\{\sigma_1,\dots,\sigma_k,n-1-\tau_1,\dots,\,n-1-\tau_{n-k}\}=\{0,\dots,n-1\}\\
\{\varepsilon_1,\dots,\varepsilon_{n-k},n-1-\delta_1,\dots,\,n-1-\delta_k\}
=\{0,\dots,n-1\}\,.
\end{gather*}

\begin{remark}\label{R::ab}
By the definition of $\alpha$ and $\beta$ given in \eqref{Ec::alpha} and
\eqref{Ec::beta}, respectively, we have  $\alpha=n-1-\tau_{n-k}$ and
$\beta=n-1-\delta_k$.
 \end{remark}

 Hence we choose $u\in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, such that
 \begin{gather*}
 u^{(n-1-\tau_1)}(a)=1\,,\\
 u^{(i)}(a)=0\,,\quad \forall i=0,\dots,n-1\,,\; i \neq n-1-\tau_1\,,\\
 u^{(i)}(b)=0\,,\quad \forall i=0,\dots,n-1\,.
 \end{gather*}
Thus, from \eqref{Ec::cfad} we can conclude that every
$v\in X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
satisfies
 \[
v^{(\tau_1)}(a)+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}(p_{n-j} v)
^{(\tau_1+j-n)}(a)=0\,.
\]

Proceeding analogously for $\tau_2,\dots,\tau_{n-k}$, we can obtain the
boundary conditions for the adjoint operator at $t=a$, and working at $t=b$
for $\delta_1,\dots,\delta_k$ we are able to complete the boundary
conditions related to the adjoint operator.
So, we conclude that every $v\in X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$ is a $C^n(I)$ function that satisfies the following
conditions
 \begin{gather} \label{Cf::ad1}
 v^{(\tau_1)}(a)+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}(p_{n-j} v)^{(\tau_1+j-n)}(a)
=0\,,\\
 \dots \nonumber\\
\label{Cf::ad11}v^{(\tau_{n-k-1})}(a)+\sum_{j=n-\tau_{n-k-1}}^{n-1}(-1)^{n-j}
(p_{n-j} v)^{(\tau_{n-k-1}+j-n)}(a)=0\,,\\
 \label{Cf::ad2}
 v^{(\tau_{n-k})}(a)+\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}(p_{n-j}
v)^{(\tau_{n-k}+j-n)}(a)=0\,,\\
 \label{Cf::ad3}
 v^{(\delta_1)}(b)+\sum_{j=n-\delta_1}^{n-1}(-1)^{n-j}(p_{n-j}
 v)^{(\delta_1+j-n)}(b)=0\,,\\
\dots\nonumber \\
\label{Cf::ad31}
 v^{(\delta_{k-1})}(b)+\sum_{j=n-\delta_{k-1}}^{n-1}(-1)^{n-j}(p_{n-j}
v)^{(\delta_{k-1}+j-n)}(b)=0\,,\\
 \label{Cf::ad4}
 v^{(\delta_k)}(b)+\sum_{j=n-\delta_k}^{n-1}(-1)^{n-j}(p_{n-j} v)^{(\delta_k+j-n)}(b)
=0\,.
 \end{gather}

 Let us denote $\eta$, $\gamma\in\{0,\dots,n-1\}$ as follows
 \begin{gather}
 \label{Ec::eta} \eta\notin \{\tau_1,\dots, \tau_{n-k}\}\,, \text{ and if }
\eta\neq 0\,,\ \{0,\dots, \eta-1\}\subset\{\tau_1,\dots, \tau_{n-k}\}\,,\\
\label{Ec::gamma}
 \gamma\notin \{\delta_1,\dots, \delta_{k}\}\,, \text{ and if } \gamma\neq 0\,,\
 \{0,\dots, \gamma-1\}\subset\{\delta_1,\dots, \delta_{k}\}\,.
 \end{gather}

\begin{remark} \rm
 As in Remark \ref{R::ab}, we have that $\eta=n-1-\sigma_k$ and
$\gamma=n-1-\varepsilon_{n-k}$.
\end{remark}

 From the boundary conditions \eqref{Cf::ad1}--\eqref{Cf::ad4}, since
$p_{j}\in C^{n-j}(I)$, the following assertions are fulfilled:
 \begin{itemize}
 \item If $\eta\neq 0$, for all
$v\in X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
it is satisfied $v(a)=\dots=v^{(\eta-1)}(a)=0$.
 \item If $\gamma\neq 0$, for all $v\in X_{\{\sigma_1,\dots,
\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ it is satisfied
$v(b)=\dots=v^{(\gamma-1)}(b)=0$.
 \end{itemize}

 \begin{example}\label{Ex::2} \rm
 Let us consider the fourth order operator $T_4[M]$ coupled with the boundary conditions
 \begin{equation}
 \label{Ec::CfEx} u(a)=u''(a)=u'(b)=u''(b)=0\,.
 \end{equation}
Now, we describe the domain of definition of the adjoint operator, $T_4^*[M]$.
In this case, $\{\tau_1,\tau_2\}=\{0,2\}$ and $\{\delta_1,\delta_2\}=\{0,3\}$.
Thus, from \eqref{Cf::ad1}--\eqref{Cf::ad4}, we deduce that:
 \begin{equation} \label{Ec::SExAd}
\begin{split} X_{\{0,2\}}^{*\{1,2\}}
=\big\{&  v\in C^4(I):v(a)=v''(a)-p_1(a) v'(a)=v(b)=0\,, \\
& v^{(3)}(b)-p_1(b) v''(b)+(p_2(b)-2p_1'(b))v'(b)=0 \big\}.
\end{split}
 \end{equation}
 \end{example}

 \begin{definition} \rm
We say that operator $T^*_n[M]$ satisfies property $(T_d^*)$ on the set
$X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ if,
 there exists a decomposition:
 \begin{equation}
 \label{Ec::Td*} T_0^* v(t)=w_0(t) v(t)\,,\quad
T_k^* v(t)=\frac{-1}{w_k(t)}\frac{d}{dt}\left( T_{k-1}^* v(t)\right) \,,\quad
 k = 1,\dots, n\,,
 \end{equation}
 where $w_k>0$, $w_k\in C^{n}(I)$ and
 \[
T_n^*[M] v(t)=T_n^* v(t)\,,\ t\in I\,.
\]
Moreover, this decomposition satisfies that for every
$v\in X_{\{ \sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$:
 \begin{gather}
 \label{Ec::cfT*1} T^*_{\tau_1} v(a)=\cdots=T_{\tau_{n-k}}^* v(a)=0\,,\\
 \label{Ec::cfT*2} T^*_{\delta_1} v(b)=\cdots=T^*_{\delta_{k}} v(b)=0\,.
 \end{gather}
 \end{definition}

 \begin{lemma}\label{L::0Ad}
 Let $\bar{M}\in \mathbb{R}$ be such that $T_n[\bar{M}]$ satisfies  property $(T_d)$
on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
 Then the adjoint operator $T_n^*[\bar{M}]$ also satisfies property $(T_d^*)$
on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{lemma}

 \begin{proof}
 From \cite[Chapter 3, Theorem 10]{Cop}, it is fulfilled that if
$T_n[\bar M] v$ satisfies  \eqref{Ec::Td2}, then $T_n^*[\bar{M}]$ can be
decomposed as:
 \begin{equation}
 \label{Ec::Td*2}
 T_n^*[\bar M] v(t)=\frac{(-1)^n}{v_1(t)}\frac{d}{dt}
\Big( \frac{1}{v_2(t)}\frac{d}{dt}\Big( \cdots\frac{d}{dt}
\big( \frac{1}{v_n(t)}\frac{d}{dt}\big( v_1(t)\dots v_n(t) v(t)
\big) \big) \Big) \Big) \,.
 \end{equation}
Hence,
 \[
T_0^* v(t)=v_1(t)\dots v_n(t) v(t)\,,\quad \text{and}\quad
T_k^*v(t)=\frac{-1}{v_{n+1-k}(t)}\frac{d}{dt}\left( T_{k-1}^* v(t)\right) \,;
\]
so, the existence of the decomposition given in \eqref{Ec::Td*}
is proved by taking $w_0(t)=v_1(t)\,\dots v_n(t)$ and $ w_k(t)=v_{n+1-k}(t)$
for $k=1,\dots,n$.

 Let us see that for every $v\in X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$, the boundary conditions
\eqref{Ec::cfT*1}-\eqref{Ec::cfT*2} are satisfied.

 Obviously, the expression of the $n^{\mathrm{th}}$- order scalar
problem \eqref{Ec::T_n[M]}--\eqref{Ec::cfb} as a first order vectorial problem,
given in \eqref{Ec::vec}, does not depend on the property $(T_d)$ of $T_n[\bar M]$.
In our case, using the decomposition given by $(T_d)$, we can transform
the $n^{\mathrm{th}}$-order problem $T_n[\bar M] u(t)=0$ into a first-order
vectorial problem in an alternative way as follows
 \begin{equation}
 \label{Ec::TVec}
 U_u'(t)=A_1(t)\,U_u(t)\,,\quad t\in I\,,\quad B\,U_u(a)+C\,U_u(b)=0\,,
 \end{equation}
with $B$, $C\in \mathcal{M}_{n\times n}$ defined in \eqref{Ec::Cf} and
$U_u(t)\in\mathbb{R}^n$, $A_1(t)\in \mathcal{M}_{n\times n}$, defined by
 \begin{equation}\label{Ec::UA1}
U_u(t)= \begin{pmatrix}
 {u_1}_u(t)\\{u_2}_u(t)\\\vdots\\{u_n}_u(t)\end{pmatrix} \,,\quad
A_1(t)=\begin{pmatrix}
 0&v_2(t)&0&\dots&0\\0&0&v_3(t)&\dots&0\\\vdots&\vdots&\vdots&\ddots&\vdots
\\0&0&0&\dots&v_n(t)\\0&0&0&\dots&0
\end{pmatrix}\,,
\end{equation}
 where ${u_\ell}_u(t):=\frac{T_{\ell-1} u(t)}{v_\ell(t)}$ for $\ell=1,\dots, n$
and $u\in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
Indeed, if $1\leq \ell\leq n-1$:
 \[
{u_\ell}_u'(t)=\frac{d}{dt}\left( \frac{T_{\ell-1} u(t)}{v_\ell(t)}\right)
 = \frac{T_\ell u(t)}{v_{\ell+1}(t)} v_{\ell+1}(t)
=v_{\ell+1}(t)\,{u_{\ell+1}}_u(t)\,,
\]
 and, if $\ell=n$
 \[
u_n'(t)=\frac{d}{dt}\left( \frac{T_{n-1} u(t)}{v_{n-1}(t)}\right)
=T_n u(t)=\frac{T_n[\bar M] u(t)}{v_1(t)\dots v_n(t)}=0\,.
\]

Taking into account that $T_n[\bar M]$ satisfies property $(T_d)$ on
$ X_{ \{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
we have
 \begin{equation} \label{Ec::Cfvec}
 {u_{\sigma_1+1}}_u(a)=\cdots={u_{\sigma_k+1}}_u(a)={u_{\varepsilon_1+1}}_u(b)
=\cdots={u_{\varepsilon_{n-k}+1}}_u(b)=0\,.
 \end{equation}
Moreover, using similar arguments, by means of the decomposition \eqref{Ec::Td*2},
 we can transform the $n^{\mathrm{th}}$-order scalar problem
\begin{equation}
 \label{Ec::T*}T_n^*[\bar M] v(t)=0\,,\quad t\in I\,,
 \end{equation}
 coupled with the boundary conditions \eqref{Cf::ad1}--\eqref{Cf::ad4}
into the  equivalent first-order vectorial problem
 \begin{equation}
 \label{Ec::T*vec}
 Z_v'(t)=-A_1^T (t)\,Z_v(t)\,,\quad t\in I\,,
 \end{equation}
 where $A_1(t)\in \mathcal{M}_{n\times n}$ is defined in \eqref{Ec::UA1}
and $Z_v(t)\in\mathbb{R}^n$ is given by
 \[
Z_v(t)= \begin{pmatrix} {z_1}_v(t)\\{z_2}_v(t)\\
\dots\\ {z_n}_v(t)
\end{pmatrix}\,,
\]
 with ${z_\ell}_v(t):=T_{n-\ell}^* v(t)$ for $\ell =0, \dots,n-1$ and
$v\in X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 Indeed, if $2\leq \ell\leq n$:
 \[
{z_\ell}_v'(t)=\frac{d}{dt}\left( {T_{n-\ell}^*v(t)}\right)
=T_{n-\ell+1}^*v(t)(-v_{n+1-(n-\ell+1)}(t))=-v_{\ell}(t)\,{z_{\ell-1}}_v(t)\,,
\]
and, if $\ell=1$:
 \[
{z_1}_v'(t)=\frac{d}{dt}\left({ T_{n-1}^* v(t)}\right)
=- v_1(t)\,T_n^*v(t)=-v_1(t)\,T_n^*[\bar M]v(t)=0\,.
\]

 Let us consider the $n^{\mathrm{th}}$-order linear differential operators
$T_n[\bar M]$ and $T_n^*[\bar M]$ in a vectorial way as follows:
\begin{gather*}
 {T_n}^v[\bar M]\,U_u(t)=U_u'(t)-A_1(t)\,U_u(t)\,,\\
 {T_n^*}^v[\bar M]\,Z_v(t)=-Z_v'(t)-A_1^T(t)\,Z_v(t)\,,
 \end{gather*}
with $U_u(t)$, $Z_v(t)\in\mathbb{R}$ and $A_1(t)\in\mathcal{M}_{n\times n}$
previously defined.

 As it can be seen in \cite[Section 1.3]{Cab}, ${T_n^*}^v[\bar M]$ is
the adjoint operator of ${T_n}^v[\bar M]$ and vice-versa. As consequence,
 by definition of adjoint operator, we have that for every
$u \in X_{ \{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
 and $v\in X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, the following equality is fulfilled
 \[
\langle {T_n}^v[\bar M]\,U_u(t), Z_v(t)\rangle
= \langle U_u(t), {T_n^*}^v[\bar M]\,Z_v(t)\rangle \,,
\]
 where $\langle \cdot,\cdot \rangle$ is the scalar product in
$\mathcal{L}^2(I,\mathbb{R}^n)$.
Moreover, from \cite[Section 1.3]{Cab}, we have
 \[
\langle U_u(a),Z_v(a)\rangle =\langle U_u(b),Z_v(b)\rangle \,,\quad
\forall u\in X_{ \{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}, \quad
v\in X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}\,.
\]

 Taking into account the boundary conditions \eqref{Ec::Cfvec}, we conclude
that for every
$v\in X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
it is satisfied:
 \[
{z_{n-\tau_1}}_v(a)=\cdots={z_{n-\tau_n}}_v(a)
={z_{n-\delta_1}}_v(b)=\cdots={z_{n-\delta_k}}_v(b)=0\,,
\]
 which implies that
 \[
T_{\tau_1}^*v(a)=\cdots=T_{\tau_{n-k}}^*v(a)
=T_{\delta_1}^*v(b)=\cdots=T_{\delta_k}^*v(b)=0.
\]
Or, which is the same, $T_n^*[\bar M]$ satisfies the property $(T_d^*)$
on $ X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{proof}

 \begin{example}\label{Ex::3} \rm
 Let us consider the fourth-order operator $T_4[M]$. Moreover, let us assume
that $T_4[M]$ satisfies property $(T_d)$ on $X_{\{0,2\}}^{\{1,2\}}$.
That is, $T_0u(a)=T_2u(a)=T_1u(b)=T_2u(b)=0$ for all $u\in X_{\{0,2\}}^{\{1,2\}}$.

 From \eqref{Ec::T1} and Example \ref{Ex::2}, taking into account the
 boundary conditions \eqref{Ec::CfEx}, we obtain that the following
equalities are fulfilled for every $u\in X_{\{0,2\}}^{\{1,2\}}$.
 \begin{gather*}
 T_0u(a)=0\,,\\
 T_2u(a)=-u'(a)\frac{2v_2(a)v_1'(a)+v_1(a)v_2'(a)}{v_1^2(a) v_2^2(a)}\,,\\
 T_1u(b)=-u(b)\frac{v_1'(b)}{v_1^2(b)}\,,\\
 T_2u(b)=u(b) \frac{v_1(b)v_1'(b)v_2'(b)+v_2(b)\big( 2{v_1'}^2(b)-v_1(b)v_1''(b)\big) }{v_1^3(b) v_2^2(b)}\,.
 \end{gather*}
So, $T_4[M]$ satisfies property $(T_d)$ on $X_{\{0,2\}}^{\{1,2\}}$ if and only if,
there exists a decomposition as \eqref{Ec::Td1}-\eqref{Ec::Td2}, where
$v_1\,,\ v_2\in C^4(I)$ are such that:
 \begin{gather}
 \label{Ec::Ex31} \frac{2v_1'(a)}{v_1(a)}=-\frac{v_2'(a)}{v_2(a)}\,,\\
 \label{Ec::Ex32} v_1'(b)=v_1''(b)=0\,.
 \end{gather}

Let us verify that in such a case, the operator $T_4^*[M]$ satisfies
property $(T_d^*)$ on $X_{\{0,2\}}^{*\{1,2\}}$.
To do that, we express $p_1$ and $p_2$ as functions of $v_1$, $v_2$,
$v_3$ and $v_4$.
Expanding the related expression \eqref{e-descomp} for $n=4$, we obtain that
 \[
 p_1\equiv -\frac{4v_1'}{v_1}-\frac{3v_2'}{v_2}-\frac{2v_3'}{v_3}
-\frac{v_4'}{v_4}\,,
\]
 and
 \begin{align*}
p_2&\equiv\frac{12 {v_1'}^2}{v_1^2}+\frac{6{v_2'}^2}{v_2}
 +\frac{2{v_3'}^2}{v_3^2}+\frac{9v_1' v_2'}{v_1 v_2}+\frac{6v_1' v_3'}{v_1 v_3}
 +\frac{4v_2' v_3'}{v_2 v_3}+\frac{3v_1' v_4'}{v_1 v_4}+\frac{2v_2' v_4'}{v_2 v_4}\\
 &\quad +\frac{v_3' v_4'}{v_3 v_4}-\frac{6v_1''}{v_1}-\frac{3v_2''}{v_2}
 -\frac{v_3''}{v_3}\,.
 \end{align*}
Moreover,
 \[
p_1'\equiv \frac{4{v_1'}^2}{v_1^2}+\frac{3{v_2'}^2}{v_2^2}
+\frac{2{v_3'}^2}{v_3^2}+\frac{{v_4'}^2}{v_4^2}
-\frac{4v_1''}{v_1}-\frac{3v_2''}{v_2}-\frac{2v_3''}{v_3}
-\frac{v_4''}{v_4}\,.
\]

 Taking into account \eqref{Ec::Ex31}-\eqref{Ec::Ex32}, the boundary conditions
for the adjoint operator, given in Example \ref{Ex::2}, can be expressed
in terms of $v_1$, $v_2$, $v_3$ and $v_4$ as follows:
 \begin{gather}
 \label{Ec::Ex33}
v(a)=v''(a)+\left( \frac{v_2'(a)}{v_2(a)}+\frac{2 v_3'(a)}{v_3(a)}
+\frac{v_4'(a)}{v_4(a)}\right) v'(a)=v(b)=0,\\
 \label{Ec::Ex34}
\begin{aligned}
&v^{(3)}(b)+\left( \frac{3v_2'(b)}{v_2(b)}+\frac{2 v_3'(b)}{v_3(b)}
 +\frac{v_4'(b)}{v_4(b)}\right) v''(b)\\
& +\Big( \frac{4v_2'(b)v_3'(b)}{v_2(b) v_3(b)}-\frac{2{v_3'}^2(b)}{v_3^2(b)}
 +\frac{2 v_2'(b)v_4'(b)}{v_2(b) v_4(b)}+\frac{v_3'(b)v_4'(b)}{v_3(b) v_4(b)}
 -\frac{2{v_4'}^2(b)}{v_4^2(b)}\\
& +\frac{3v_2''(b)}{v_2(b)}
 +\frac{3v_3''(b)}{v_3(b)}+\frac{2v_4''(b)}{v_4(b)}\Big) v'(b)=0\,.
 \end{aligned}
\end{gather}

Now, let us see that $T_0^*v(a)=T_2^*v(a)=T_0^*v(b)=T_3^*v(b)=0$ for all
$v\in X_{\{0,2\}}^{*\{1,2\}}$.
Trivially, $T_0^*v(a)=v(a)=0$ and $T_0^*v(b)=v(b)=0$.
Using the decomposition \eqref{Ec::Td*}, we have
 \[
T_2^*v(t)=-\frac{1}{v_3(t)}\frac{d}{dt}\Big( \frac{-1}{v_4(t)}\frac{d}{dt}
\left( v_1(t) v_2(t) v_3(t) v_4(t) v(t)\right)\Big)\,,
\]
 from which, considering \eqref{Ec::Ex31} and \eqref{Ec::Ex33}, we obtain
 \[
T_2^*v(a)=v_1(a) v_2(a)\Big( v''(a)+\left( \frac{v_2'(a)}{v_2(a)}
+\frac{2v_3'(a)}{v_3(a)}+\frac{v_4'(a)}{v_4(a)}\right) v'(a)\Big) =0\,.
\]
 Finally,
 \[
T_3^*v(t)=-\frac{1}{v_2(t)}\frac{d}{dt}\Big( \frac{-1}{v_3(t)}\frac{d}{dt}
\Big( \frac{-1}{v_4(t)}\frac{d}{dt}\big( v_1(t) v_2(t) v_3(t) v_4(t) v(t)\big)
\Big)\Big) \,\,.
\]
Combining the previous expression with \eqref{Ec::Ex32} --\eqref{Ec::Ex34},
we obtain
\begin{align*}
 T_3^*v(b)
&=-v_1(b)\Big( v^{(3)}(b)+\Big( \frac{3v_2'(b)}{v_2(b)}
 +\frac{2 v_3'(b)}{v_3(b)}+\frac{v_4'(b)}{v_4(b)}\Big) v''(b) \\
&\quad +\Big( \frac{4v_2'(b)v_3'(b)}{v_2(b) v_3(b)}-\frac{2{v_3'}^2(b)}{v_3^2(b)}
 +\frac{2 v_2'(b)v_4'(b)}{v_2(b) v_4(b)}+\frac{v_3'(b)v_4'(b)}{v_3(b) v_4(b)}\\
&\quad -\frac{2{v_4'}^2(b)}{v_4^2(b)}+\frac{3v_2''(b)}{v_2(b)}
 +\frac{3v_3''(b)}{v_3(b)}+\frac{2v_4''(b)}{v_4(b)}\Big) v'(b)\Big)=0\,.
 \end{align*}
 As a particular case of Lemma \ref{L::0Ad}, we have proved that if
$T_4[M]$ satisfies property $(T_d)$ on $X_{\{0,2\}}^{\{1,2\}}$, then
$T_4^*[M]$ satisfies  property $(T_d^*)$ on $X_{\{0,2\}}^{*\{1,2\}}$.
 \end{example}

 It is obvious that we can enunciate an analogous result to Lemma
\ref{L::0Ad} referring to operator $\widehat T_n[(-1)^n\bar M]$ defined
in \eqref{Ec::Tg}.

 \begin{lemma}\label{L::0}
 Let $\bar{M}\in \mathbb{R}$ be such that $T_n[\bar{M}]$ satisfies
property $(T_d)$ on the set \\ $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$, then  $\widehat T_n[(-1)^n\bar{M}]$
also satisfies property $(T_d^*)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{lemma}

 \begin{proof}
 We only have to consider $\widehat{T}_\ell v(t)=(-1)^\ell T_\ell^*v(t)$,
$\ell=0,\dots, 1$ and the result follows directly from Lemma \ref{L::0Ad}.
 \end{proof}

 Arguing as in \cite{CabSaa} to deduce the equality \eqref{Ec::Tl},
let us see that the expression of $\widehat T_\ell v(t)$ is given by
 \begin{equation}\label{Ec::Tgg}
\widehat T_\ell v(t)=v_1(t)\,\dots v_{n-\ell} v^{(\ell)}(t)
+\widehat p_{\ell_1}(t) v^{(\ell-1)}(t)+\cdots
+\widehat p_{\ell_\ell}(t) v(t)\,,
\end{equation}
 where $\widehat p_{\ell_i}\in C^{n-\ell}(I)$.

 For $\ell=0$, we have that $\widehat T_0v(t)=v_1(t)\dots v_n(t) v(t)$.
Let us assume that \eqref{Ec::Tgg} is true for a given $\ell\geq 0$,
then, by \eqref{Ec::Td*}, we have
 \[
\widehat{T}_{\ell+1}v(t)=\frac{1}{v_{n-\ell}(t)}\frac{d}{dt}
\big( \widehat T_{\ell}v(t)\big)\,.
\]
Thus, using the induction hypothesis,
 \[
\widehat{T}_{\ell+1}v(t)
=\frac{1}{v_{n-\ell}(t)}\frac{d}{dt}\left( v_1(t)\,\dots v_{n-\ell} v^{(\ell)}(t)
+\widehat p_{\ell_1}(t) v^{(\ell-1)}(t)+\cdots
+\widehat p_{\ell_\ell}(t) v(t)\right)\,,
\]
from which follows the expression \eqref{Ec::Tgg} for $\ell+1$.

 As a consequence of the previous results, we are able to obtain analogous
results to Lemmas \ref{L::1} and \ref{L::2} for $\widehat{T}_n[(-1)^n M]$.

\begin{lemma}  \label{L::3}
 Let $\bar M\in\mathbb{R}$ be such that $T_n[(-1)^n\bar M]$ satisfies the
property $(T_d^*)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$. If $v\in C^n([a,c))$, with $c>a$, is a function
that satisfies \eqref{Cf::ad1}--\eqref{Cf::ad11}, then
\begin{gather*}
\widehat T_{\tau_1} v(a)=\cdots=\widehat T_{\tau_{n-k-1}} v(a)=0\,, \\
\widehat T_{\tau_{n-k}} v(a)
=\widehat f(a)\Big( v^{(\tau_{n-k})}(a)+\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
(p_{n-j} v)^{(\tau_{n-k}+j-n)}(a)\Big) \,,
\end{gather*}
where $\widehat f(t)= v_1(t)\dots v_{n-{\tau_{n-k}}}(t)>0$ on $I$.
In particular, if $v$ satisfies \eqref{Cf::ad2}, then $\widehat T_{\tau_{n-k}}v(a)=0$.
 \end{lemma}

 \begin{proof}
 The proof is analogous to the one given in Lemma \ref{L::1}, but in this
case we have
\begin{align*}
\widehat T_{\tau_{n-k}} v(a)
&=v_1(a)\,\dots v_{n-\tau_{n-k}}(a) v^{({\tau_{n-k}})}(a)\\
&\quad +\widehat p_{{\tau_{n-k}}_1}(a) v^{(\tau_{n-k}-1)}(a)+\cdots
 +\widehat p_{{\tau_{n-k}}_{\tau_{n-k}}}(a) v(a)\,.
\end{align*}
 If \eqref{Cf::ad2} is satisfied, then $\widehat T_{\tau_{n-k} v(a)}=0$, and
the result follows.
 \end{proof}

 \begin{lemma}  \label{L::4}
 Let $\bar M\in\mathbb{R}$ be such that $T_n[(-1)^n\bar M]$ satisfies
 property $(T_d^*)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$. If $v\in C^n((c,b])$, with $c<b$, is a function
that satisfies \eqref{Cf::ad3}--\eqref{Cf::ad31}, then
\begin{gather*}
\widehat T_{\delta_1} v(b)=\cdots=\widehat T_{\delta_{k-1}} v(b)=0\,,\\
\widehat T_{\delta_{k}} v(b)=\widehat g(b)
\Big( v^{(\delta_{k})}(b)+\sum_{j=n-\delta_{k}}^{n-1}(-1)^{n-j}(p_{n-j}
  v)^{(\delta_{k}+j-n)}(b)\Big) \,,
\end{gather*}
 where $\widehat g(t)= v_1(t)\dots v_{n-\delta_k}(t)>0$ on $I$.
In particular, if $v$ satisfies \eqref{Cf::ad4}, then
$\widehat T_{\delta_{k}}v(b)=0$.
 \end{lemma}

The proof of the above lemma  is analogous to the one of Lemma \ref{L::3},
and  is omitted here.

\section{Strongly inverse positive (negative) character of operator $T_n[\bar M]$}
\label{chapt4}

 In this section we prove that if the operator $T_n[\bar M]$ satisfies
property $(T_d)$, then it is a strongly inverse positive (negative)
operator on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$. Moreover, its related Green's function satisfies
a suitable condition, which allows us to apply either Theorem \ref{T::6}
or Theorem \ref{T::7} and obtain one of the extremes of the interval
where the related Green's function is of constant sign.
The result is the following.

 \begin{theorem}  \label{L::5}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies
$(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$ satisfy condition $(N_a)$. Then the following
properties are fulfilled:
 \begin{itemize}
 \item If $n-k$ is even, then $T_n[\bar M]$ is strongly inverse positive on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
and, moreover, the related Green's function, $g_{\bar M}(t,s)$, satisfies {\rm (A2.1)}.

\item If $n-k$ is odd, then $T_n[\bar M]$ is strongly inverse negative on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
 and, moreover, the related Green's function, $g_{\bar M}(t,s)$, satisfies
{\rm (A2.2)}.
 \end{itemize}
 \end{theorem}

 \begin{proof}
 Firstly, let us verify the strongly inverse positive (negative) character.
To this end, we use the decomposition of $T_n[\bar M]$ given on \eqref{Ec::Td1}.
Since $v_1(t)\,\dots v_n(t)>0$; if $T_n[\bar M] u\gneqq 0$ on $I$,
from \eqref{Ec::Td2}, we conclude that $T_n u\gneqq 0$ on $I$.
Hence, from \eqref{Ec::Td1} we know that $\frac{T_{n-1} u}{v_n}$ is a
nontrivial nondecreasing function, with at most a sign change on $I$.
Therefore, since $v_n>0$, we can affirm that $T_{n-1}u$ can have at most a
sign change, being negative at $t=a$ and positive at $t=b$.

 Repeating this process for $T_{n-\ell}u$, with $\ell = 1,\dots n$, we can
affirm that $T_0u=u$ can have at most $n$ zeros on $(a,b)$, whenever the
following inequalities are satisfied for every $\ell=1,\dots,n$:
 \begin{equation}\label{Ec::Maxos}
T_{n-\ell} u(a) \begin{cases}
 >0\,,& \text{if $\ell$ is even,}\\
 <0\,,& \text{if $\ell$ is odd,}
\end{cases}
\quad\text{and}\quad T_{n-\ell} u(b)>0\,.
 \end{equation}
Repeating the same argument as in Lemma \ref{L::11}, we can affirm that
 each time that $T_{n-\ell} u(a)=0$ or $T_{n-\ell} u(b)=0$, we lose a
possible oscillation and, therefore, a possible zero of $u$ in $(a,b)$.

 From  property $(T_d)$, we know that for all
$u\in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
\begin{equation}  \label{Ec::CFT}
 T_{\sigma_1} u(a)=\cdots=T_{\sigma_k} u(a)=T_{\varepsilon_1} u(b)
=\cdots=T_{\varepsilon_{n-k}} u(b)=0\,,
\end{equation}
i.e, we lose the $n$ possible zeros which $u$ could ever have. Thus, we can
conclude that $u$ cannot have any zero on $(a,b)$.

 Let us see how is the sign of $u^{(\alpha)}(a)$ and $u^{(\beta)}(b)$
which gives the sign of $u$.
Since $u(a)=\cdots=u^{(\alpha-1)}(a)=0$ and $u(b)=\cdots=u^{(\beta-1)}(b)=0$,
from \eqref{Ec::Tl} we have
 \begin{equation}
 \label{Ec::AB}
 T_\alpha u(a)=\frac{u^{(\alpha)}(a)}{v_1(a)\dots v_\alpha(a)}\,,\quad
T_\beta u(b)=\frac{u^{(\beta)}(b)}{v_1(b)\dots v_\beta(b)}\,,
\end{equation}
 hence, $u^{(\alpha)}(a)$ and $T_\alpha u(a)$, and $u^{(\beta)}(b)$ and
$T_\beta u(b)$ have the same sign, respectively.

 If either, $T_\ell u(a)=0$ for any $\ell \notin\{\sigma_1,\dots,\sigma_k\}$,
or $T_\ell u(b)=0$ for any $\ell\notin \{\varepsilon_1,\dots,\varepsilon_{n-k}\}$,
then we lose another possible oscillation and, necessarily, $u\equiv0$ on $I$
which is a contradiction with $T_n[\bar M] u\gneqq0$.

Moreover, taking into account \eqref{Ec::CFT}, the sign of $T_\ell u(a)$
must allow the maximum number of oscillations for $T_\ell u$. Otherwise
$u\equiv0$ on $I$ which is again a contradiction with $T_n[\bar M] u\gneqq0$.

\begin{notation}\label{Not:maxos} \rm
 In this work, we understand for conditions of maximal oscillation those
which allow $u$ to have the maximum number of zeros depending on the fixed
boundary conditions without being a trivial solution.
 \end{notation}

Hence $T_{n-\ell}$ must verify the conditions for maximal oscillation.
That is, $T_{n-\ell}u(a)$ must change its sign each time that it is not null,
i.e., if $T_{n-\ell}u(a)>0$ for a given $\ell=1\,,\dots,\,n$, then
$T_{n-\ell-1}u(a)\leq0$ and if $T_{n-\ell-1}u(a)=0$, we consider
$\tilde{\ell}\in \{\ell+1,\dots,n\}$\, such that $T_{n-\tilde{\ell}}u(a)\neq 0$
and $T_{n-h} u(a)=0$ for $h\in\{\ell+1,\dots,\tilde{\ell}-1\}$, then
$T_{n-\tilde{\ell}}u(a)< 0$.

 From  property $(T_d)$, we know that $T_{n-\ell}u(a)$ vanishes $k-\alpha$
times for $\ell\in\{1,\dots,n-\alpha\}$. Hence, taking into account the
previous argument and the conditions given in \eqref{Ec::Maxos}, we have
 \[
T_{\alpha} u(a) \begin{cases}
 >0\,,& \text{if $n-\alpha-(k-\alpha)=n-k $ is even,}\\
<0\,,& \text{if $n-k$ is odd.}
\end{cases}
\]
To obtain the previous inequalities, there are considered as many sign changes
for $T_h u(a)$ as times that it is non null from $h=\alpha$ to $h=n-1$.
That is, the $n-\alpha$ steps minus the $k-\alpha$ zeros that are found.
Thus, from \eqref{Ec::AB}
 \begin{equation}\label{Ec::ualpha}
u^{(\alpha)}(a)
 \begin{cases}
 >0\,,& \text{if $n-k$ is even,}\\
 <0\,,& \text{if $n-k$ is odd.}\end{cases}
\end{equation}
From this, since $u\neq 0$ on $(a,b)$, we conclude that
 \begin{equation}\label{Ec::uab}
u(t) \begin{cases}
 >0\,\; t\in(a,b)\,,& \text{if $n-k$ is even,}\\
<0\, \; t\in(a,b)\,,& \text{if $n-k$ is odd.}
\end{cases}
\end{equation}

Taking into account that necessarily $T_\beta u(b)\neq 0$, since
$\beta\notin\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$, from \eqref{Ec::AB}
and \eqref{Ec::uab} we have:
\begin{itemize}
 \item If $n-k$ is even
 \begin{equation}\label{Ec::ubetapar}
u^{(\beta)}(b) \begin{cases}
 >0\,,& \text{if $\beta$ is even,}\\
 <0\,,& \text{if $\beta$ is odd.}
\end{cases}
\end{equation}
 \item If $n-k$ is odd
 \begin{equation}\label{Ec::ubetaimpar}
u^{(\beta)}(b) \begin{cases}
 <0\,,& \text{if $\beta$ is even,}\\
 >0\,,& \text{if $\beta$ is odd.}
\end{cases}
\end{equation}
 \end{itemize}
Hence, from \eqref{Ec::ualpha}--\eqref{Ec::ubetaimpar}, we conclude that
if $n-k$ is even, then the operator $T_n[\bar M]$ is a strongly inverse
 positive operator on $X_{\{\sigma_1,\dots,
\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ and if $n-k$ is odd,
then the operator $T_n[\bar M]$ is a strongly inverse negative operator on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 Let us see that $g_{\bar M}(t,s)$ satisfies condition (A2.1) or (A2.2), respectively.
Using Theorems \ref{T::in2} and \ref{T::in21}, it is known that
$(-1)^{n-k} g_{\bar M}(t,s)>0$ for a.e. $(t,s)\in(a,b)\times(a,b)$.
Let us see that, in fact, this inequality holds for all $(t,s)\in(a,b)\times(a,b)$.

For each fixed $s\in (a,b)$, let us define $u_s(t)=(-1)^{n-k} g_{\bar M}(t,s)$,
$u_s\in C^{n-2}(I)$ and $u_s\in C^{n}([a,s)\cup(s,b])$.
It is known that $u_s(t)\geq 0$ on $I$, and that it satisfies the boundary
conditions \eqref{Ec::cfa}-\eqref{Ec::cfb}.
Moreover, since $g_{\bar M}(t,s)$ is the Green's function related to the operator
$T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, we have
 \[
T_n[\bar M] u_s(t)=v_1(t)\dots v_n(t)\,T_n u_s(t)=0\,,\quad t\neq s\,.
\]
Since $v_1\dots v_n>0$ on $I$, $T_n u_s(t) =0$ if $t\neq s$. Hence,
 \begin{equation}
\begin{gathered}
 \frac{1}{v_n(t)}\,T_{n-1}u_s(t)=c_1\,,\quad t<s\,,\\
 \frac{1}{v_n(t)}\,T_{n-1}u_s(t)=c_2\,,\quad t>s\,,
\end{gathered}
\end{equation}
 where $c_1$, $c_2\in \mathbb{R}$ are of different sign to allow the maximal
oscillation.

 Since $v_n>0$, $T_{n-1} u_s$ has the same sign as $c_1$ or $c_2$, if $t<s$
or $t>s$, respectively, i.e., in order to have maximal number of oscillations,
it has two components of constant different sign.
Then, since $\frac{1}{v_{n-1}}\,T_{n-2} u_s$ is a continuous function,
it can have at most two sign changes and the same happens with $T_{n-2} u_s$.

 Proceeding in a similar way, we conclude that with maximal oscillation
$T_{n-\ell} u_s$ can have at most $\ell$ zeros, for $\ell = 2,\dots,n$.
In particular, $u_s$ has at most $n$ sign changes on $I$.

 Arguing as before, each time that $T_{n-\ell} u_s(a)=0$ or $T_{n-\ell} u_s(b)=0$
a possible oscillation is lost.
Taking into account that $T_n[\bar M]$ satisfies $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
we use Lemmas \ref{L::1} and \ref{L::2} to affirm that $u_s$ satisfies
\eqref{Ec::CFT}.
 Thus, $T_{n-\ell} u_s(a)$ or $T_{n-\ell} u_s(b)$ vanish $n$ times for
$\ell =1,\dots, n$. So, we have lost the $n$ possible zeros and we can
 affirm that $u_s>0$ on $(a,b)$. Or, which is the same,
$(-1)^{n-k} g_{\bar M}(t,s)>0$ for all $(t,s)\in(a,b)\times(a,b)$.

 Moreover, for each $s\in (a,b)$, we obtain the following limits:
 \begin{gather*}
\ell_1(s) = \lim_{t\to a^+}\frac{(-1)^{n-k} g_{\bar M}(t,s)}
 {(t-a)^\alpha(b-t)^\beta} = \frac{(-1)^{n-k}
 \frac{\partial^\alpha }{\partial t^\alpha}
g_{\bar M}(t,s)\big|_{t=a}}{\alpha!\,  (b-a)^{\beta}}\,,\\
\ell_2(s) = \lim_{t\to b^-}\frac{(-1)^{n-k}
g_{\bar M}(t,s)}{(t-a)^\alpha(b-t)^\beta} = \frac{(-1)^{n-k-\beta}
\frac{\partial^\beta }{\partial t^\beta} g_{\bar M}(t,s)\big|_{t=b}}{\beta!\,
(b-a)^{\alpha}}\,.
\end{gather*}
For each $s\in(a,b)$, let us construct the continuous extension on $I$ of $u_s$,
as follows
 \[
\tilde{u}_s(t)=\frac{(-1)^{n-k} g_{\bar M}(t,s)}{(t-a)^\alpha(b-t)^\beta}\,.
\]
Since $u_s>0$ and $(t-a)^\alpha(b-t)^\beta>0$ on $(a,b)$, we have that
$\tilde{u}_s>0$ on $(a,b)$.
Moreover, using Theorems \ref{T::in2} and \ref{T::in21}, we can affirm
that $\ell_1(s)>0$ and $\ell_2(s)>0$ for a.e. $s\in(a,b)$.
Hence, for a.e. $s\in(a,b)$, $\tilde{u}_s(a)>0$ and $\tilde{u}_s(b)>0$.

 Furthermore, since $g_{\bar M}(t,s)$ is the related Green's function of
 $T_n[\bar M]$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$, we also can affirm that there exists $K>0$
such that $\tilde{u}_s\leq K$ for every $(t,s)\in I\times (a,b)$.
Hence, we construct the following functions:
 \begin{gather*}
 \tilde{k}_1(s)= \min_{t\in I} \tilde{u}_s(t)\,,\quad s\in (a,b)\,,\\
 \tilde{k}_2(s)= \max_{t\in I}\tilde{u}_s(t)\,,\quad s\in (a,b)\,,
\end{gather*}
 which are continuous on $(a,b)$ and they are positive a.e. in $(a,b)$.

 Taking $\phi(t)=(t-a)^\alpha(b-t)^\beta>0$ on $(a,b)$, condition (A2.1)
is trivially satisfied if $n-k$ is even with $k_1(s)=\tilde{k}_1(s)$ and
 $k_2(s)=\tilde{k}_2(s)$ and condition (A2.2) if $n-k$ is odd with
$k_1(s)=-\tilde{k}_2(s)$ and $k_2(s)=-\tilde{k}_1(s)$.
 \end{proof}

 \begin{remark} \rm
 From Theorem \ref{L::5}, if $T_n[\bar M]$ satisfies property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon{n-k}\}}$,
then either Theorem \ref{T::6}, if $n-k$ is even, or Theorem \ref{T::7},
 if $n-k$ is odd, can be applied to operator $T_n[\bar M]$ on such a space.
 \end{remark}

 \begin{example}  \label{Ex::4} \rm
Let us continue the study of the fourth order operator given in Example
\ref{Ex::2}. From Example \ref{Ex::3}, we can affirm that $T_4[M]$
satisfies condition $(T_d)$ if and only if there exists a decomposition
\eqref{Ec::Td1}-\eqref{Ec::Td2} such that \eqref{Ec::Ex31}-\eqref{Ec::Ex32}
are satisfied. These equalities are true, in particular, if we choose
$v_1(t)=v_2(t)=v_3(t)=v_4(t)=1$ for all $t\in I$. That is, they are valid
for the particular case of operator $T_4^0[0] u(t)=u^{(4)}(t)$.
Such a choice has been done in order to simplify the calculations,
the applicability of the results can be extended to a more complicated class
of operators.

 Now, let us check directly that this operator satisfies the thesis of
Theorem \ref{L::5}. To do that, let us consider $I\equiv[0,1]$.
In this case, $n-k=2$ is even, so let us study the strongly inverse
positive character. If $u^{(4)}\gneqq0$, then $u''$ is a convex function.
Since $u''(0)=u''(1)=0$, we have that $u''\lneqq0$ (if $u''\equiv0$,
then $u^{(4)}\equiv0$ which is a contradiction).
Hence, $u'$ is a decreasing function on $I$ verifying $u'(1)=0$,
so $u'\gneqq0$. In particular, $u'(0)>0$.

 Finally, taking into account that $u(0)=0$, $u$ is an increasing function
on $I$ and it cannot have infinite zeros without being a trivial solution
of $T_4^0[0] u(t)=0$, we have that $u(t)>0$ for all $t\in(0,1]$.

 Now, let us study the related Green's function, given by the expression:
 \[
g_0(t,s)=\begin{cases}
 \frac{1}{6} s \left(t \left(t^2-3 t+3\right)-s^2\right)\,, &
0\leq s\leq t\leq 1\,, \\[4pt]
 \frac{1}{6} (s-1) t \left(t^2-3 s\right)\,, & 0<t<s\leq 1\,.
 \end{cases}
\]
Let us see that it satisfies the condition (A2.1).
First, it is obvious that $g_0(1,s)=\frac{1}{6}\,s\,\left( 1-s^2\right) >0$
for all $s\in (0,1)$.
Moreover,
 \[
\frac{\partial}{\partial t}g_0(t,s)
=\begin{cases}
 \frac{1}{6} s \left(t^2+(2 t-3) t-3 t+3\right)\,, & 0\leq s\leq t\leq 1\,, \\[4pt]
 \frac{1}{3} (s-1) t^2+\frac{1}{6} (s-1) \left(t^2-3 s\right)\,, & 0<t<s\leq 1\,,
 \end{cases}
\]
 in particular, $\frac{\partial}{\partial t}g_0(t,s)\big|_{t=0}
=\frac{1}{2}\left( s-s^2\right) >0$ for all $s\in (0,1)$.

 Now, let us verify that $g_0(t,s)>0$ on $(0,1)\times (0,1)$.
If $t<s$, we have that $s-1<0$ and $t^2-3s<-3s+s^2<0$ for all $s\in(0,1)$.
If $t\geq s$, we have $t \left(t^2-3 t+3\right)-s^2\geq s \left(s^2-3 s+3\right)-s^2=3s-4s^2+s^3>0$ for all $s\in(0,1)$.
Hence, $g_0(t,s)>0$ on $(0,1)\times (0,1)$.

 On the other hand,
 \[
\tilde{u}_s(t)=\frac{g_0(t,s)}{t}
=\begin{cases}
 \frac{1}{6} \frac{s}{t} \left(t \left(t^2-3 t+3\right)-s^2\right)\,,
& 0\leq s\leq t\leq 1\,, \\[4pt]
 \frac{1}{6} (s-1) \left(t^2-3 s\right)\,, & 0<t<s\leq 1\,.
 \end{cases}
\]
Thus, condition (A2.1) is satisfied for the following functions:
\begin{gather*}
 \phi(t)=t\,,\\
 k_1(s)=\tilde{k}_1(s)=\min_{t\in I}\tilde{u}_s(t)=\frac{1}{6}\,s(1-s^2)\,,\\
 k_2(s)=\tilde{k}_2(s)=\max_{t\in I}\tilde{u}_s(t)=\frac{s}{2}(1-s)\,,\\
 \end{gather*}
 and
 \[
t \frac{1}{6}\,s(1-s^2)\leq g_0(t,s)\leq t \frac{s}{2}(1-s)\,,\quad
\text{for all } (t,s)\in I \times I \,.
\]
 \end{example}

 \section{Existence and study of the eigenvalues of operator $T_n[\bar M]$
in different spaces}

 In \cite{CabSaa} and \cite{CabSaa2}, the characterization of the parameters
set for which the related Green's function is of constant sign has been done
by means of spectral theory. In fact, the extremes of the interval are
characterized by suitable eigenvalues of the operator associated to
different boundary conditions.

 The characterization here obtained follows the same structure.
Thus, in this section we study the existence of eigenvalues of operator
$T_n[\bar M]$ in the spaces
\begin{gather*}
X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}\!,\quad
X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k-1}\}}\!,\quad
 X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}|\beta\}}\!,\\
 X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}\}}, \quad
 X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}\,.
\end{gather*}
Moreover, we study the constant sign of several solutions of the linear
 differential equation \eqref{Ec::T_n[M]} coupled with different $n-1$
additional boundary conditions.

 Firstly, let us see a result which allows us to affirm that, under the
hypothesis that the property $(T_d)$ is fulfilled on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
the operator $T_n[\bar M]$ satisfies such a property in all these spaces.

 \begin{lemma} \label{L::6}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
 $(T_d)$ on the set  $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$. Then the following properties are fulfilled:
 \begin{itemize}
 \item $T_n[\bar M]$ satisfies the property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k-1}\}}$.
 \item $T_n[\bar M]$ satisfies the property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}|\beta\}}$.
 \item If $\sigma_k\neq k-1$, $T_n[\bar M]$ satisfies  property
 $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
 \item If $\varepsilon_{n-k}\neq n-k-1$, $T_n[\bar M]$ satisfies the property
$(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.
 \end{itemize}
 \end{lemma}

 \begin{proof}
 The proof follows trivially from Lemmas \ref{L::1} and \ref{L::2}, taking
 into account that under our hypotheses, from \eqref{Ec::Tl}, we have
 \begin{equation}\label{Ec::Tab}
T_\alpha u(a)=\frac{u^{(\alpha)}(a)}{v_1(a)\dots v_\alpha(a)}\,,
\quad T_\beta u(b)=\frac{u^{(\beta)}(b)}{v_1(b)\dots v_\beta(b)}\,.
\end{equation}
 \end{proof}

 \begin{remark} \rm
If $\sigma_k=k-1$ or $\varepsilon_{n-k}=n-k-1$, then $\alpha=k$ or $\beta=n-k$,
respectively.  So, if either
$u\in X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ or $u\in X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k-1}|\beta\}}$, then \eqref{Ec::Tab} can be not true.
 \end{remark}

 \begin{example}  \label{Ex::5} \rm
 Let us consider the fourth-order operator $T_4[M]$. In Example \ref{Ex::3},
 we have seen that if $T_4[M]$ satisfies $(T_d)$ on $X_{\{0,2\}}^{\{1,2\}}$,
then \eqref{Ec::Ex31}-\eqref{Ec::Ex32} are fulfilled. Let us see that,
in such a case, $(T_d)$ also holds on $X_{\{0,1,2\}}^{\{1\}}$,
$X_{\{0\}}^{\{0,1,2\}}$, $X_{\{0,1\}}^{\{1,2\}}$ and $X_{\{0,2\}}^{\{0,1\}}$.
\begin{itemize}
\item $X_{\{0,1,2\}}^{\{1\}}$:
 Trivially, since $T_\ell u(t)$ is a linear combination of
$u(t)\,,\dots,u^{(\ell)}(t)$, $T_0u(a)=T_1u(a)=T_2u(a)=0$.
 Moreover, from \eqref{Ec::T1}, it follows that
$T_1u(b)=-\frac{v_1'(b)}{v_1^2(b)}u(b)=0$.

 \item $X_{\{0\}}^{\{0,1,2\}}$:
 Obviously, $T_0u(a)=T_0u(b)=T_1u(b)=T_2u(b)=0$.

 \item $X_{\{0,1\}}^{\{1,2\}}$:
 Directly, $T_0u(a)=T_1u(a)=0$.
 From \eqref{Ec::T1} and Example \ref{Ex::1},
 $T_1u(b)=\frac{-v_1'(b)}{v_1^2(b)}u(b)=0$ and
\[
T_2u(b)=\frac{v_1(b) v_1'(b) v_2'(b)+v_2(b)
\left( 2{v_1'}^2(b)-v_1(b) v_1''(b)\right) }{v_1^3(b) v_2^2(b)}u(b)=0\,.
\]

 \item $X_{\{0,2\}}^{\{0,1\}}$:
Trivially, $T_0u(a)=T_0u(b)=T_1u(b)=0$.
 Finally, from Example \ref{Ex::1}, $T_2u(a)=-\frac{2v_2(a) v_1'(a)+v_1(a)
v_2'(a)}{v_1^2(a) v_2^2(a)}u'(a)=0$.
 \end{itemize}
 \end{example}
 As a consequence we can prove the following corollary.

 \begin{corollary}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies  property $(T_d)$
on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
and ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
satisfy $(N_a)$. Then
 \begin{itemize}
 \item If $n-k$ is even:
 \begin{itemize}
 \item[*] $T_n[\bar M]$ is strongly inverse positive and satisfies condition (A2.1) on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ and $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$. If, in addition, $\varepsilon_{n-k}\neq n-k-1$, then this property is also fulfilled on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}|\beta\}}$.
 \item[*] $T_n[\bar M]$ is strongly inverse negative and satisfies condition (A2.2) on $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$. If, in addition, $\sigma_{k}\neq k-1$, then this property is also fulfilled on $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\}}$.
 \end{itemize}

 \item If $n-k$ is odd:
 \begin{itemize}
 \item[*] $T_n[\bar M]$ is strongly inverse negative and satisfies condition (A2.2) on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ and $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$. If, in addition, $\varepsilon_{n-k}\neq n-k-1$, then this property is also fulfilled on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}|\beta\}}$.
 \item[*] $T_n[\bar M]$ is strongly inverse positive and satisfies condition (A2.1) on on $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$. If, in addition, $\sigma_{k}\neq k-1$, then this property is also fulfilled on $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \end{itemize}
 \end{corollary}

 \begin{proof}
 It is obvious that if ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ satisfy $(N_a)$, then the sets
${\{\sigma_1,\dots,\sigma_k|\alpha\}}-{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\}}$,
${\{\sigma_1,\dots,\sigma_{k-1}\}}-{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$
also do.

 Moreover, if $\sigma_k\neq k-1$, then $\alpha <\sigma_k$ and if
$\varepsilon_{n-k}\neq n-k-1$, then $\beta<\varepsilon_{n-k}$. So, if
${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
satisfy $(N_a)$, then ${\{\sigma_1,\dots,\sigma_{k-1}| \alpha\}}-{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ and ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}|\beta\}}$ also do.
Thus, using Theorem \ref{L::5} and Lemma \ref{L::6}, the result follows.
 \end{proof}

 Now, from the previous Corollary and the first assertion on Theorems
\ref{T::6} and \ref{T::7}, we obtain, as a direct consequence, the following result.

 \begin{corollary}  \label{C::1}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies the property
$(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, and ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ satisfy $(N_a)$. Then
 \begin{itemize}
 \item If $n-k$ is even:
 \begin{itemize}
 \item There is $\lambda_1>0$, the least positive eigenvalue of
$T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_1$.
 \item If $k>1$, there is $\lambda_2'<0$, the largest negative eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_2'$.
 \item If $k<n-1$, there is $\lambda_2''<0$, the largest negative eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_2''$.
 \item If $\sigma_k\neq k-1$, there is $\lambda_3'>0$, the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_3'$.
 \item If $\varepsilon_{n-k}\neq n-k-1$, there is $\lambda_3''>0$, the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}|\beta\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_3''$.
 \end{itemize}
 \item If $n-k$ is odd:
 \begin{itemize}
 \item There exists $\lambda_1<0$, the largest negative eigenvalue of
 $T_n[\bar M]$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$. Moreover, there is a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_1$.
 \item If $k>1$, there is $\lambda_2'>0$, the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_2'$.
 \item If $k<n-1$, there is $\lambda_2''>0$, the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_2''$.
 \item If $\sigma_k\neq k-1$, there is $\lambda_3'<0$, the largest negative eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_3'$.
 \item If $\varepsilon_{n-k}\neq n-k-1$, there is $\lambda_3''<0$, the largest negative eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}|\beta\}}$. Moreover, there exists a nontrivial constant sign eigenfunction corresponding to the eigenvalue $\lambda_3''$.
 \end{itemize}
 \end{itemize}
 \end{corollary}

 \begin{example}  \label{Ex::6} \rm
 Continuing the study of the operator $T_4^0[M]u(t)=u^{(4)}(t)+M u(t)$
introduced in Example \ref{Ex::4}, we can affirm the existence of the eigenvalues
of $T_4^0[0]$ in the different spaces introduced in Example \ref{Ex::5} and
the related constant sign eigenfunctions.

Next, we obtain those eigenvalues and related eigenfunctions.

$\bullet$ The eigenvalues of $T_4^0[0]$ on $X_{\{0,2\}}^{\{1,2\}}$ are given by
$\lambda=m^4$, where $m$ is a positive solution of the following equation:
 \begin{equation} \label{Ec::Ex61}
 \tan(m)+\tanh(m)=0\,.
\end{equation}
\begin{itemize}
\item  The least positive eigenvalue is $\lambda_1=m_1^4\approxeq 2,36502^4$,
where $m_1$ is the least positive solution of \eqref{Ec::Ex61}.
The related constant sign eigenfunctions are given by:
\[
u(t)=K\Big( \frac{\sinh(m_1\,t)}{\cosh(m_1)}-\frac{\sin(m_1\,t)}{\cos(m_1)}\Big) \,,
\]
 where $K\in \mathbb{R}$.

 \item The largest negative eigenvalue of $T_4^0[0]$ on $X_{\{0,1,2\}}^{\{1\}}$ is $\lambda_2''=-4\pi^4$. The related constant sign
eigenfunctions are given by:
 \[
u(t)=K\,\left(\cosh(\pi\,t)\sin(\pi\,t)-\cos(\pi\,t)\sinh(\pi\,t)\right) \,,
\]
 where $K\in \mathbb{R}$.
\end{itemize}

$\bullet$  The eigenvalues of $T_4^0[0]$ on $X_{\{0\}}^{\{0,1,2\}}$ are given by
$\lambda=-m^4$, where $m$ is a positive solution of the following equation:
 \begin{equation} \label{Ec::Ex62}
 \tan\left( \frac{m}{\sqrt{2}}\right) -\tanh\left( \frac{m}{\sqrt{2}}\right)=0\,.
\end{equation}
 The largest negative eigenvalue is $\lambda_2'=-m_2^4\approxeq -5,55305^4$,
 where $m_2$ is the least positive solution of \eqref{Ec::Ex62}.
 The related constant sign eigenfunctions are given by:
 \begin{align*}
u(t)&=K\Big(\cosh\Big( \frac{m_2}{\sqrt{2}}(1-t)\Big)
\sin\Big( \frac{m_2}{\sqrt{2}}(1-t)\Big) \\
&\quad -\cos\Big( \frac{m_2}{\sqrt{2}}(1-t)\Big)
 \sinh\Big( \frac{m_2}{\sqrt{2}}(1-t)\Big)\Big) \,,
\end{align*}
 where $K\in \mathbb{R}$.

$\bullet$  The eigenvalues of $T_4^0[0]$ on $X_{\{0,2\}}^{\{0,1\}}$ are given by
$\lambda=m^4$, where $m$ is a positive solution of the following equation:
 \begin{equation} \label{Ec::Ex63}
 \tan(m)-\tanh(m)=0\,.
\end{equation}
 The least positive eigenvalue is $\lambda_3''=m_3^4\approxeq 3,9266^4$,
 where $m_3$ is the least positive solution of \eqref{Ec::Ex63}.
 The related constant sign eigenfunctions are given by:
 \[u(t)=K\,\left( \frac{\sinh(m_3\,t)}{\cosh(m_3)}
 -\frac{\sin(m_3\,t)}{\cos(m_3)}\right) \,,\]
 where $K\in \mathbb{R}$.

The least positive eigenvalue of $T_4^0[0]$ on $X_{\{0,1\}}^{\{1,2\}}$ is
 $\lambda_3'=\pi^4$. The related constant sign eigenfunctions are given by:
 \[u(t)=K\,e^{-\pi (t+1)} \left(e^{2 \pi t}+e^{\pi t} \left(\left(e^{\pi }
 -1\right) \sin (\pi t)+\left(-1-e^{\pi }\right) \cos (\pi t)\right)+e^{\pi }\right)\,,\]
 where $K\in \mathbb{R}$.
 \end{example}

 Now, we introduce some results that provide sufficient conditions to ensure
that suitable solutions of \eqref{Ec::T_n[M]} are of constant sign.

 \begin{proposition} \label{P::1}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
$(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and
${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
satisfy $(N_a)$. If $u\in C^n(I)$ is a solution of \eqref{Ec::T_n[M]} on $(a,b)$,
satisfying the boundary conditions:
 \begin{gather}
 \label{Ec::cfaa} u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_{k-1})}(a)=0\,,\\
 \label{Ec::cfbb} u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k})}(b)=0\,,
 \end{gather}
 then it does not have any zero on $(a,b)$ provided that one of the following
assertions is satisfied:
 \begin{itemize}
 \item Let $n-k$ be even:
 \begin{itemize}
 \item If $k>1$, $\sigma_k\neq k-1$ and $M\in[\bar{M}-\lambda_3',\bar{M}-\lambda_2']$,
  where:
 \begin{itemize}
 \item $\lambda_3'>0$ is the least positive eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}\}}$.
 \item $\lambda_2'<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \item If $k=1$, $\sigma_1\neq 0$ and $M\in[\bar{M}-\lambda_3',+\infty)$, where:
 \begin{itemize}
 \item $\lambda_3'>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$, where $\alpha=0$.
 \end{itemize}
 \item If $k>1$, $\sigma_k = k-1$ and $M\in[\bar{M}-\lambda_1,\bar{M}-\lambda_2']$,
 where:
 \begin{itemize}
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{0,\dots,k-1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item $\lambda_2'<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{0,\dots,k-2\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \item If $k=1$ and $\sigma_1=0$ and $M\in[\bar{M}-\lambda_1,+\infty)$, where:
 \begin{itemize}
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{0\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$.
 \end{itemize}

 \end{itemize}
 \item Let $n-k$ be odd:
 \begin{itemize}
 \item If $k>1$, $\sigma_k\neq k-1$ and $M\in[\bar{M}-\lambda_2',\bar{M}
 -\lambda_3']$, where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item $\lambda_2'>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \item If $k=1$, $\sigma_1\neq 0$ and $M\in(-\infty,\bar{M}-\lambda_3']$, where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$,
 where $\alpha=0$.
 \end{itemize}
 \item If $k>1$, $\sigma_k = k-1$ and $M\in[\bar{M}-\lambda_2',\bar{M}-\lambda_1]$,
where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{0,\dots,k-1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item $\lambda_2'>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{0,\dots,k-2\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}

 \item If $k=1$ and $\sigma_1=0$ and $M\in(-\infty,\bar{M}-\lambda_1]$, where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{0\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \end{itemize}
 \end{itemize}
 \end{proposition}

 \begin{proof}
 Firstly, let us see that for $M=\bar M$ every solution of \eqref{Ec::T_n[M]}
on $(a,b)$ satisfying the boundary conditions \eqref{Ec::cfaa}-\eqref{Ec::cfbb}
does not have any zero on $(a,b)$. On the proof of Lemma \ref{L::11} we have
seen that, without taking into account the boundary conditions, every solution
of \eqref{Ec::T_n[M]} for $M=\bar M$ has at most $n-1$ zeros on $(a,b)$.
Let us prove that this $n-1$ possible oscillations are not attained because
 of the boundary conditions.

Let us denote, $u_M\in C^n(I)$ a solution of \eqref{Ec::T_n[M]} verifying
the boundary conditions \eqref{Ec::cfaa}-\eqref{Ec::cfbb}.
Each time that $T_{n-\ell} u_M(a)=0$ or $T_{n-\ell} u_M(b)=0$ for
$\ell= 1,\dots n$ a possible oscillation is lost.


 Since $T_n[\bar M]$ satisfies property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
by applying Lemmas \ref{L::1} and \ref{L::2} we conclude that for every
$M\in\mathbb{R}$
 \begin{gather}
 \label{Ec::cfTaa} T_{\sigma_1} u_{ M}(a)=\cdots=T_{\sigma_{k-1}} u_M(a)=0\,,\\
 \label{Ec::cfTbb} T_{\varepsilon_1} u_M(b)=\cdots=T_{\varepsilon_{n-k}} u_M(b)=0\,.
 \end{gather}
In particular, this property holds for $M=\bar M$. Hence, we lose the $n-1$
possible oscillations and we can affirm that $u_{\bar M}$ does not have any
 zero on $(a,b)$.

  Now,  to prove the result, let us move $u_M$ in a continuous way with $M$
in a neighborhood of $\bar M$. We have that $u_M$ is a solution of
\eqref{Ec::T_n[M]} on $(a,b)$, hence
 \begin{equation}\label{Ec::TNM}
T_n[\bar M] u_{M}(t)=(\bar M-M) u_M(t)\,,\quad t\in (a,b)\,.
\end{equation}

First, let us see that while $u_M$ is of constant sign it cannot have any
double zero on $(a,b)$.
Let us assume that $u_{\bar M}>0$ on $(a,b)$ (if $u_{\bar M}<0$ on $(a,b)$
the arguments are valid by multiplying by $-1$). Thus, in equation
\eqref{Ec::TNM} we have
 \begin{equation}
T_n[\bar M] u_M(t) \begin{cases}
\geq 0\,,\; t\in (a,b)\,, &\text{ if $M<\bar M$,}\\
\leq 0\,,\; t\in (a,b)\,, &\text{ if $M>\bar M$.}
\end{cases}
\end{equation}
In both cases, $T_n[\bar M] u_M$ is a constant sign function.
Then, since $v_1\dots v_n>0$, $T_{n-1} u_M$ is a monotone function with,
at most, one zero.

 Under analogous arguments, we conclude that $T_{n-\ell} u_M$ has at most
$\ell$ zeros, for $\ell=1,\dots,n$. In particular, $u_M$ can have $n$ zeros at most.
But, $u_M$ satisfies \eqref{Ec::cfTaa}-\eqref{Ec::cfTbb}, i.e., $n-1$
possible oscillations are lost. Thus $u_M$ is only allowed to have
a simple zero on $(a,b)$, but this is not possible while it is of constant sign.

 Let us assume that $k>1$ and $\sigma_k\neq k-1$. In such a case, we can affirm
that $u_M$ is of constant sign up to one of the two following boundary conditions
is satisfied:
 \[
u^{(\alpha)}_M(a)=0\quad \text{or}\quad u^{(\beta)}_M(b)=0\,.
\]
Now, to see when the sign change begins, let us study the problem with
different signs of $M$. Since we are considering $u_M\geq0$, it is obvious that
 \begin{equation}\label{Ec::Suab}
 u^{(\alpha)}_M(a)\geq0\,,\quad \text{and}\quad
 u^{(\beta)}_M(b) \begin{cases}
\geq 0\,,&\text{if $\beta$ is even,}\\
\leq 0\,,&\text{if $\beta$ is odd.}
\end{cases}
\end{equation}

 Let us study the behavior of $u^{(\alpha)}_M(a)$ and $u^{(\beta)}_M(b)$,
to keep the maximal oscillation, considered as in Notation \ref{Not:maxos},
in each case. In this case, the maximum number of zeros which $u$ can have,
taking into account the boundary conditions \eqref{Ec::cfaa}-\eqref{Ec::cfbb}
is $1$. Then, a zero on the boundary is allowed without implying that $u\equiv 0$.
If $T_{n-\ell} u_M(a)=0$ for $\ell\neq n-\alpha$ and
$n-\ell\notin\{\sigma_1,\dots,\sigma_{k-1}\}$ or $T_{n-\ell} u_M(b)=0$ for
$\ell\neq n-\beta$ and $n-\ell\notin\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$,
then the maximum number of zeros which $u$ can have is $0$ and we cannot
have more zeros on the boundary for any nontrivial solution of \eqref{Ec::T_n[M]}.
Therefore, let us assume that the only zero which is allowed is found
at $T_{\alpha} u_M(a)$ or $T_{\beta} u_M(b)$.

 At first, consider $M<\bar M$, we have that $T_n[\bar M] u_M\geq 0$, hence,
 with maximal oscillation, if $T_{n-\ell}u_M(a)\neq 0$ and $T_{n-\ell}u_M(b)\neq 0$
 for all $\ell=1,\dots n$ \eqref{Ec::Maxos} is satisfied.

 However each time that $T_{n-\ell}u_M(a)= 0$, the sign change come on the
next $\tilde \ell$ for which $T_{n-\tilde \ell}u_M(a)\neq 0$.
And, if $T_{n-\ell}u_M(b)= 0$, it changes its sign on the next $\tilde\ell$
for which $T_{n-\tilde\ell}u_M(b)\neq 0$ many times as it has vanished.
From $\ell=1$ to $n-\alpha$ there are $k-1-\alpha$ zeros for $T_{n-\ell}u_M(a)$
and from $\ell=1$ to $n-\beta$ there are $n-k-\beta$ zeros for $T_{n-\ell}u_M(b)$.
Hence, to allow the maximal oscillation it is necessary that
 \begin{equation}\label{Ec::Maxos1}
T_{\alpha} u_M(a)  \begin{cases}
 \geq0\,,& \text{if $n-\alpha-(k-\alpha-1)=n-k+1$ is even,}\\
\leq0\,,& \text{if $n-k+1$ is odd,}\end{cases}
 \end{equation}
 and
\begin{equation}  \label{Ec::Maxos2}
T_{\beta} u_M(b) \begin{cases}
 \geq0\,,& \text{if $n-k-\beta$ is even,}\\
\leq 0\,,& \text{if $n-k-\beta$ is odd.}
\end{cases}
 \end{equation}

From \eqref{Ec::Tab}, we can affirm that with maximal oscillation
\begin{equation*}
u^{(\alpha)}_M(a) \begin{cases}
 \geq0\,,& \text{if $n-k$ is odd,}\\
\leq0\,,& \text{if $n-k$ is even,}
\end{cases}
 \end{equation*}
 and,
 \begin{itemize}
 \item If $n-k$ is even
 \begin{equation*}
u^{(\beta)}_M(b) \begin{cases}
 \geq0\,,& \text{if $\beta$ is even,}\\
\leq 0\,,& \text{if $\beta$ is odd.}
\end{cases}
 \end{equation*}
 \item If $n-k$ is odd
 \begin{equation*}
 u^{(\beta)}_M(b) \begin{cases}
\leq0\,,& \text{if $\beta$ is even,}\\
\geq 0\,,& \text{if $\beta$ is odd.}
\end{cases}
 \end{equation*}
 \end{itemize}
 Hence, we arrive at the following conclusions, taking into
account \eqref{Ec::Suab}:
 \begin{itemize}
 \item If $n-k$ is even, the maximal oscillation is not allowed for $u_M$ if
$u_N^{(\alpha)}(a)\neq 0$ for all $N$ between $\bar M$ and $M$;
which implies that $u_M>0$ on $(a,b)$ for $M\in[\bar M-\lambda_3',\bar M]$.

 \item If $n-k$ is odd, the maximal oscillation is not allowed for $u_M$ if
$u_N^{(\beta)}(b)\neq 0$ for all $N$ between $\bar M$ and $M$;
which implies that $u_M>0$ on $(a,b)$ for $M\in[\bar M-\lambda_2', \bar M]$.
\end{itemize}

 Now, considering $M>\bar M$, we have that $T_n[\bar M] u_M\leq 0$,
hence with maximal oscillation, if $T_{n-\ell}u_M(a)\neq 0$ and
$T_{n-\ell}u_M(b)\neq 0$, for all $\ell=1,\dots n$, the following inequalities
 are satisfied:
\begin{equation}\label{Ec::Maxos3}
T_{n-\ell} u_M(a) \begin{cases}
 <0\,,& \text{if $\ell$ is even,}\\
>0\,,& \text{if $\ell$ is odd,}
\end{cases} \qquad T_{n-\ell} u_M(b)<0\,.
 \end{equation}
In this case, since we have contrary signs from the previous case where
$M<\bar M$, to allow the maximal oscillation, the following inequalities
must be satisfied:
\begin{equation}\label{Ec::Maxos4}
T_{\alpha} u_M(a) \begin{cases}
 \leq0\,,& \text{if $n-k-1$ is even,}\\
\geq0\,,& \text{if $n-k-1$ is odd,}
\end{cases}
 \end{equation}
 and
\begin{equation} \label{Ec::Maxos5}
T_{\beta} u_M(b) \begin{cases}
\leq0\,,& \text{if $n-k-\beta$ is even,}\\
\geq 0\,,& \text{if $n-k-\beta$ is odd.}
\end{cases}
 \end{equation}
Hence, from \eqref{Ec::Tab}, we can affirm that with maximal oscillation
\begin{equation*}
u^{(\alpha)}_M(a) \begin{cases}
 \leq0\,,& \text{if $n-k$ is odd,}\\
 \geq0\,,& \text{if $n-k$ is even,}
\end{cases}
 \end{equation*}
 and,
 \begin{itemize}
 \item If $n-k$ is even
 \begin{equation*}
u^{(\beta)}_M(b) \begin{cases}
 \leq0\,,& \text{if $\beta$ is even,}\\
\geq 0\,,& \text{if $\beta$ is odd.}
\end{cases}
 \end{equation*}
 \item If $n-k$ is odd
 \begin{equation*}
 u^{(\beta)}_M(b) \begin{cases}
\geq0\,,& \text{if $\beta$ is even,}\\
\leq 0\,,& \text{if $\beta$ is odd.}
\end{cases}
 \end{equation*}
 \end{itemize}
 Hence, we arrive at the following conclusions, taking into account
\eqref{Ec::Suab}:
 \begin{itemize}
 \item If $n-k$ is even, the maximal oscillation is not allowed for $u_M$ if
$u_N^{(\beta)}(b)\neq 0$ for all $N$ between $\bar M$ and $M$;
which implies that $u_M>0$ on $(a,b)$ for $M\in[\bar M, \bar M-\lambda_2']$.

\item If $n-k$ is odd, the maximal oscillation is not allowed for $u_M$ if
$u_N^{(\alpha)}(a)\neq 0$ for all $N$ between $\bar M$ and $M$;
which implies that $u_M>0$ on $(a,b)$ for $M\in[\bar M, \bar M-\lambda_3']$.
\end{itemize}
The proof is complete since if $k=1$, $u^{(\beta)}_M(b)\neq0$
for every $M\neq \bar M$, because the contrary will imply that $u_M$
is a nontrivial solution of the linear differential equation
\eqref{Ec::T_n[M]} with a zero of multiplicity $n$ at $t=b$
and this is not possible.

 And, if $\sigma_k=k-1$, consider $u^{(k-1)}_M(a)$ instead of
$u^{(\alpha)}_M(a)=u^{(k)}(a)$, since it is the first non null derivative at $t=a$.
Since $u_M\geq 0$, then $u_M^{(k-1)}(a)\geq 0$. But, with maximal oscillation,
$T_{k-1} u_M(a)$ follows \eqref{Ec::Maxos} if $M<\bar M$ and
\eqref{Ec::Maxos3} if $M>\bar M$ for $\ell=n-k-1$. Hence, from \eqref{Ec::Tab},
we can affirm that, with maximal oscillation, the following inequalities must
 be fulfilled:
\begin{itemize}
 \item If $M<\bar M$
 \begin{equation*}
u^{(k-1)}_M(a) \begin{cases}
 \geq0\,,& \text{if $n-k$ is odd,}\\
\leq 0\,,& \text{if $n-k$ is even.}
\end{cases}
 \end{equation*}
 \item If $M>\bar M$
 \begin{equation*}
u^{(k-1)}_M(a) \begin{cases}
 \leq0\,,& \text{if $n-k$ is odd,}\\
\geq 0\,,& \text{if $n-k$ is even.}
\end{cases}
 \end{equation*}
 \end{itemize}
Then, we can conclude the proof:
 \begin{itemize}
 \item If $n-k$ is even and $M<\bar M$, the maximal oscillation is not allowed
for $u_M$ if $u_N^{(k-1)}(a)\neq 0$ for all $N$ between $\bar M$ and $M$;
which implies that $u_M>0$ on $(a,b)$ for $M\in[\bar M-\lambda_1, \bar M]$.

 \item If $n-k$ is odd and $M>\bar M$, the maximal oscillation is not allowed
for $u_M$ if $u_N^{(n-k-1)}(b)\neq 0$ for all $N$ between $\bar M$ and $M$;
which implies that $u_M>0$ on $(a,b)$ for $M\in[\bar M, \bar M-\lambda_1]$.
 \end{itemize}
 \end{proof}

 \begin{example}  \label{Ex::7} \rm
 From Proposition \ref{P::1} and Example \ref{Ex::6}, we can affirm that any
 nontrivial solution of $T_4^0[M]\equiv u^{(4)}(t)+M u(t)=0$ on $[0,1]$,
verifying the boundary conditions:
 \[
u(0)=u'(1)=u''(1)=0\,,
\]
 does not have any zero on $(0,1)$ for $M\in[-\pi^4,m_2^4]$, where
$m_2^4=-\lambda_1$ with $\lambda_1$ the first negative eigenvalue of
$T_4^0[0]$ on $X_{\{0\}}^{\{0,1,2\}}$ and $m_2$ has been introduced
in Example \ref{Ex::6} as the least positive solution of \eqref{Ec::Ex62}.

 Such functions are given as multiples of the following expression:
\[
\begin{cases}
\cos (m-m t) (\sin (m)-\sinh (m))+\sin (m-m t) (-\cos (m)-\cosh (m))\\
+\sinh (m-m t) (\cos (m)+\cosh (m))+\cosh (m-m t) (\sin (m)-\sinh (m))\,,\\
\quad\text{if }M=-m^4<0\,,\\[4pt]
t^3-3t^2+3t\,,\quad\text{if } M=0\,,\\[4pt]
e^{-\frac{m t}{\sqrt{2}}} \Big(-\big(e^{\sqrt{2} m (t-1)}
 +e^{\sqrt{2} m t}+e^{\sqrt{2} m}+1\big) \sin
\big(\frac{m t}{\sqrt{2}}\big) \\
+\big(e^{\sqrt{2} m t}-1\big) \cos \big(\frac{m (t-2)}{\sqrt{2}}\big)
+\big(e^{\sqrt{2} m t}-1\big) \cos \big(\frac{m t}{\sqrt{2}}\big)\Big)\,,\\
\quad\text{if } M=m^4>0\,.
\end{cases}
\]
 \end{example}

 Now, we enunciate a similar result, which refers to the eigenvalues on
the sets $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$ and $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.

 \begin{proposition}  \label{P::2}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
$(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and
${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
satisfy $(N_a)$. If $u\in C^n(I)$ is a solution of \eqref{Ec::T_n[M]} on
$(a,b)$ satisfying the boundary conditions:
 \begin{gather}
 \label{Ec::cfaaa} u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_{k})}(a)=0\,,\\
 \label{Ec::cfbbb} u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k-1})}(b)=0\,,
 \end{gather}
 then it does not have any zero on $(a,b)$ provided that one of the following
assertions is satisfied:
 \begin{itemize}
 \item Let $n-k$ be even:
 \begin{itemize}
 \item If $\varepsilon_{n-k}\neq n-k-1$ and $M\in[\bar{M}-\lambda_3'',\bar{M}
-\lambda_2'']$, where:
 \begin{itemize}
 \item $\lambda_3''>0$ is the least positive eigenvalue of $T_n[\bar M]$ in
the set \\ $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k-1}|\beta\}}$.
 \item $\lambda_2''<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on the set $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$.
 \end{itemize}

 \item If $\varepsilon_{n-k} =n- k-1$ and $M\in[\bar{M}-\lambda_1,\bar{M}
 -\lambda_2'']$, where:
 \begin{itemize}
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{0,\dots,n-k-1 \}}$.
 \item $\lambda_2''<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on the set $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{0,\dots,k-2\}}$.
 \end{itemize}


 \end{itemize}
 \item Let $n-k$ be odd:
 \begin{itemize}
 \item If $k<n-1$, $\varepsilon_{n-k}\neq n- k-1$ and
$M\in[\bar{M}-\lambda_2'',\bar{M}-\lambda_3'']$, where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the largest negative eigenvalue of
$T_n[\bar M]$ on the set $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.
 \item $\lambda_2''>0$ is the least positive eigenvalue of $T_n[\bar M]$ in
the set \\ $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \item If $k=n-1$, $\varepsilon_{1}\neq0$ and $M\in(-\infty,\bar{M}-\lambda_3'']$,
where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{n-1}\}}^{\{\beta\}}$, where $\beta=0$.
 \end{itemize}
 \item If $k<n-1$, $\varepsilon_{n-k}=n-k-1$ and
$M\in[\bar{M}-\lambda_2'',\bar{M}-\lambda_1]$, where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{0,1,\dots,n-k-1\}}$.
 \item $\lambda_2''>0$ is the least positive eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \item If $k=n-1$ and $\varepsilon_{n-k}=0$ and $M\in(-\infty,\bar{M}-\lambda_1]$,
where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{n-1}\}}^{\{0\}}$.
 \end{itemize}
 \end{itemize}
 \end{itemize}
 \end{proposition}

 The proof of the above proposition is analogous to the one of Proposition \ref{P::1},
and is omitted here.

\begin{example}  \label{Ex::8} \rm
 Consider the fourth order differential equation $u^{(4)}(t)+M u(t)=0$
coupled with the boundary conditions $u(0)=u''(0)=u'(1)=0$. Using Proposition
\ref{P::2} and Example \ref{Ex::6}, we conclude that such functions do not
 have any zero on $(0,1)$ if $M\in[-m_3^4,4\pi^4]$, where $m_3^3=-\lambda_1$,
with $\lambda_1$ the first negative eigenvalue of $T_4^0[0]$ on $X_{0,1,2}^{1}$
and $m_3$ has been introduced in Example \ref{Ex::6} as the least positive
solution of \eqref{Ec::Ex63}.

It is not difficult to verify that the solutions of this problem are given
as multiples of the following expression:
\[
 \begin{cases}
 \frac{\sin(m\,t)}{\cos(m)}-\frac{\sinh(m\,t)}{\cosh(m)}\,,\quad
\text{if } M=-m^4<0\,,\\[4pt]
t^3-3t\,,\quad \text{if } M=0\,,\\[4pt]
 e^{-\frac{m t}{\sqrt{2}}} \Big(\big(e^{\sqrt{2} m (t+1)}+1\big)
\sin \big(\frac{m (t-1)}{\sqrt{2}}\big)
+\big(e^{\sqrt{2} m t}+e^{\sqrt{2} m}\big)
\sin \big(\frac{m (t+1)}{\sqrt{2}}\big) \\
+\big(1-e^{\sqrt{2} m (t+1)}\big) \cos \big(\frac{m (t-1)}{\sqrt{2}}\big)
+\big(e^{\sqrt{2} m}-e^{\sqrt{2} m t}\big)
 \cos \big(\frac{m (t+1)}{\sqrt{2}}\big)\Big)\,,\\
 \quad \text{if } M=m^4>0\,.
\end{cases}
 \]
 \end{example}

To complete  this section, we show a result which gives an order on the
previously obtained eigenvalues $\lambda_1$, $\lambda_3'$ and $\lambda_3''$.
First, let us introduce some notation.

 \begin{notation}\label{Not::alpha1} \rm
 Let us denote $\alpha_1\in \{1,\dots,n-1\}$ such that
$\alpha_1\notin \{\sigma_1,\dots,\sigma_{k-1}|\alpha\}$ and
$\{0,\dots,\alpha_1-1\}\subset\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}$.
 Let $\beta_1\in \{1,\dots,n-1\}$ be such that
$\beta_1\notin \{\varepsilon_1,\dots,\varepsilon_{n-k-1}|\beta\}$ and
$\{0,\dots,\beta_1-1\}\subset\{\varepsilon_1,\dots,\varepsilon_{n-k-1}|\beta\}$.
 \end{notation}

\begin{proposition}\label{P::6.5}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
$(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and $\{\sigma_1,\dots,\sigma_k\}-\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}$ satisfy $(N_a)$. Then the following assertions
 are fulfilled:
 \begin{itemize}
 \item Let $n-k$ be even, we have:
 \begin{itemize}
 \item If $\sigma_k\neq k-1$, then $\lambda_3'>\lambda_1>0$, where
 \begin{itemize}
 \item $\lambda_3'>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 Moreover if there exists $\lambda_1'>\lambda_1$ another eigenvalue of
 $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, then $\lambda_1'>\lambda_3'$.

 \item If $\varepsilon_{n-k}\neq n-k-1$, then $\lambda_3''>\lambda_1>0$, where
 \begin{itemize}
 \item $\lambda_3''>0$ is the least positive eigenvalue of $T_n[\bar M]$
in the set \\
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 Moreover if there exists $\lambda_1'>\lambda_1$ another eigenvalue of of
$T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, then $\lambda_1'>\lambda_3''$.
\end{itemize}


 \item Let $n-k$ be odd, we have:
 \begin{itemize}
 \item If $\sigma_k\neq k-1$, then $\lambda_3'<\lambda_1<0$, where
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of
 $T_n[\bar M]$ in the set \\
$X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,
 \dots,\varepsilon_{n-k}\}}$.
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 Moreover if there exists $\lambda_1'<\lambda_1$ another eigenvalue of
 $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, then $\lambda_1'<\lambda_3'$.
 \item If $\varepsilon_{n-k}\neq n-k-1$, then $\lambda_3''<\lambda_1<0$, where
 \begin{itemize}
 \item $\lambda_3''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 Moreover if there exists $\lambda_1'<\lambda_1$ another eigenvalue of
 $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, then $\lambda_1'<\lambda_3''$.
 \end{itemize}
\end{itemize}
 \end{proposition}

 \begin{proof}
 At the beginning, we focus on the relation between $\lambda_1$ and $\lambda_3'$.
We have seen in Proposition \ref{P::1} that a function $u_M$, solution
of \eqref{Ec::T_n[M]}, satisfying the boundary conditions
\eqref{Ec::cfaa}-\eqref{Ec::cfbb} cannot have any zero on $(a,b)$ for
$M\in [\bar{M}-\lambda_3',\bar{M}]$ if $n-k$ is even and for
$M\in [\bar{M},\bar{M} -\lambda_3']$ if $n-k$ is odd.


Moreover, it is proved that for $M=\bar M$, without taking into account
the boundary conditions, $u_{\bar M}$ has at most $n-1$ zeros, moreover,
conditions \eqref{Ec::cfTaa}-\eqref{Ec::cfTbb} are satisfied by $u_{\bar M}$.
 Hence, we lose the $n-1$ possible oscillations. So, for $M=\bar M$ with the
given boundary conditions, the maximal oscillation is achieved for the boundary
conditions \eqref{Ec::cfaa}-\eqref{Ec::cfbb}.

 Let us assume that $u_{\bar M}\geq 0$ (if $u_{\bar M}\leq0 $ the arguments
are valid by multiplying by $-1$), hence
$T_\alpha u_{\bar M}(a)=\frac{u^{(\alpha)}_{\bar M}(a)}{v_1(a)\dots v_\alpha(a)}>0$.

 As we have said before, $T_h u(a)$ changes its sign for every
$h=0,\dots,n-1$ if it is non null. From $h=\alpha$ to $\sigma_k$, taking into
account \eqref{Ec::cfTaa}, $k-1-\alpha$ zeros for $T_hu(a)$ are found.
Hence, with maximal oscillation:
 \begin{equation*}
T_{\sigma_k} u_{\bar M}(a) \begin{cases}
 >0\,,& \text{if $(\sigma_k-\alpha)-(k-1-\alpha)=\sigma_k-k+1$ is even, }\\
 < 0\,,& \text{if $\sigma_k-k+1$ is odd.}
\end{cases}
 \end{equation*}
On the other hand, by means of Lemma \ref{L::1}, we have
 \begin{equation}\label{Ec::cfsigma1}
u^{(\sigma_k)}_{\bar M}(a)\begin{cases}
 >0\,,& \text{if $\sigma_k-k$ is odd, }\\
< 0\,,& \text{if $\sigma_k-k$ is even.}
\end{cases}
 \end{equation}

 Let us move $u_M$ continuously on $M$ up to $M=\bar M-\lambda_3'$.
On Proposition \ref{P::1} we have proved that $u_M$ has at most $n$ zeros
for every $M \in [\bar M-\lambda_3',\bar M]$ ($[\bar M, \bar M-\lambda_3]$
if $n-k$ is odd) if $u_M\geq0$, without taking into account the boundary conditions.

 Since $\lambda_3'$ is an eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, we have that $u^{(\alpha)}_{\bar{M}-\lambda_3'}(a)=0$.
Thus, $T_\alpha u_{\bar M-\lambda_3'}(a)=0$. This fact, coupled with the
boundary conditions \eqref{Ec::cfTaa}-\eqref{Ec::cfTbb}, allows us to
affirm that $u_{\bar{M}-\lambda_3'}$ cannot lose more oscillations
if it is a nontrivial solution. Hence, the maximal oscillation is verified.

Since we have moved continuously from $\bar M$ to $\bar M-\lambda_3'$
and it was assumed $u_{\bar M}\geq 0$ on $I$, we conclude that
$u_{\bar M-\lambda_3'}\geq 0$, hence
\[
T_{\alpha_1} u_{\bar M}(a)=\frac{u^{(\alpha_1)}_{\bar M}(a)}{v_1(a)
\dots v_{\alpha_1}(a)}>0,
\]
 where $\alpha_1$ has been introduced in Notation \ref{Not::alpha1}.


As for $M=\bar M$, provided it is non null, $T_h u(a)$ changes its sign
for every $h=0,\dots,n-1$ . From $h=\alpha_1$ to $\sigma_k$, taking into
account \eqref{Ec::cfTaa}, $k-\alpha_1$ zeros are found. Hence, with maximal
oscillation
 \begin{equation*}
T_{\sigma_k} u_{\bar M -\lambda_3'}(a) \begin{cases}
 >0\,,& \text{if $(\sigma_k-\alpha_1)-(k-\alpha_1)=\sigma_k-k$ is even, }\\
< 0\,,& \text{if $\sigma_k-k$ is odd.}
\end{cases}
 \end{equation*}
From Lemma \ref{L::1} again, we have
 \begin{equation}\label{Ec::cfsigma2}
u^{(\sigma_k)}_{\bar M -\lambda_3'}(a) \begin{cases}
 >0\,,& \text{if $\sigma_k-k$ is even, }\\
< 0\,,& \text{if $\sigma_k-k$ is odd.}
\end{cases}
 \end{equation}
Hence, since we have been moving with continuity, from \eqref{Ec::cfsigma1}
and \eqref{Ec::cfsigma2}, we can ensure the existence of a $\tilde M$
between $\bar M$ and $\bar M-\lambda_3'$ such that
$u^{(\sigma_k)}_{\tilde M}(a)=0$. As consequence:
 \begin{itemize}
 \item If $n-k$ is even, $0<\lambda_1=\bar M-\tilde M<\lambda_3'$.
 \item If $n-k$ is odd, $0>\lambda_1=\bar M-\tilde M>\lambda_3'$.
 \end{itemize}

The relation between $\lambda_1$ and $\lambda_3''$ is proved analogously
by using Proposition \ref{P::2}.

 The assertion referring to $\lambda_1'$ is due to the fact that, if
$0<\lambda_1<\lambda_1'<\lambda_3'$ on the case where $n-k$ is even, then,
by Proposition \ref{P::1}, the eigenfunctions related to $\lambda_1$ and
$\lambda_1'$ are of constant sign and this is not possible for an strongly
inverse positive (negative) operator (see \cite[Corollary 7.27]{Zeid}
and \cite[Section 1.8]{Cab}). The same happens when $n-k$ is odd and
$0>\lambda_1>\lambda_1'>\lambda_3$.

 Similarly, if either $n-k$ is even and $0<\lambda_1<\lambda_1'<\lambda_3''$ or
$n-k$ is odd and $0>\lambda_1>\lambda_1'>\lambda_3''$, then, by
Proposition \ref{P::2}, the eigenfunctions related to $\lambda_1$ and
$\lambda_1'$ are of constant sign.
Thus, the result is proved.
 \end{proof}

 \begin{example}  \label{Ex::9} \rm
 Let us return to Example \ref{Ex::6}, where we have obtained the
different eigenvalues for the operator $T_4^0[0]$. Let us see that the
Assumptions of Proposition \ref{P::6.5} are fulfilled.
 \begin{itemize}
 \item $\lambda_1=m_1^4\approxeq 2.36502^4<\lambda_3'=\pi^4$.
 \item $\lambda_1<\lambda_3''=m_3^4\approxeq 3.9266^4$.
 \end{itemize}
Moreover, we have seen in Example \ref{Ex::6} that the eigenvalues of $T_4^0[0]$
on $X_{\{0,2\}}^{\{1,2\}}$ are given as $\lambda=m^4$, where $m$ is a
positive solution of \eqref{Ec::Ex61}. So
$\lambda_1'\approxeq 5.497^4>\lambda_3'$ and $\lambda_1'>\lambda_3''$.
 \end{example}

 \section{Study of the eigenvalues of the adjoint operator $T^*_n[\bar M]$
and of $\widehat T_n[(-1)^n\bar M]$ in different spaces}\label{chapt6}

This section is devoted to the study of the eigenvalues of the adjoint
operator $T^*_n[\bar M]$ in the different spaces
$X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
 $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$, $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{*\{\varepsilon_1,
\dots,\varepsilon_{n-k}|\beta\}}$,
$X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and $X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,
\dots,\varepsilon_{n-k-1}|\beta\}}$.

In Section \ref{S::ad} we have proved that the boundary conditions satisfied
for every $v\in X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ are given by \eqref{Cf::ad1}--\eqref{Cf::ad4}.
Proceeding analogously in the different spaces, taking into account that
$\eta=n-1-\sigma_{k}$, $\gamma=n-1-\varepsilon_{n-k}$, $\alpha=n-1-\tau_{n-k}$
and $\beta=n-1-\delta_k$, we have the following assertions:
\begin{itemize}

 \item If $v\in X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k}|\beta\}}$, then it satisfies \eqref{Cf::ad1}--\eqref{Cf::ad2}
and \eqref{Cf::ad3}--\eqref{Cf::ad31} coupled with $v^{(\eta)}(a)=0$.

\item If $v\in X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, then it satisfies
\eqref{Cf::ad1}--\eqref{Cf::ad11} and \eqref{Cf::ad3}--\eqref{Cf::ad4}
coupled with $v^{(\eta)}(a)=0$.

\item If $v\in X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$, then it satisfies \eqref{Cf::ad1}--\eqref{Cf::ad11}
and \eqref{Cf::ad3}--\eqref{Cf::ad4} coupled with $v^{(\gamma)}(b)=0$.

\item If $v\in X_{\{\sigma_1,\dots,\sigma_{k}\}}^{*\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$, then it satisfies
\eqref{Cf::ad1}--\eqref{Cf::ad2} and \eqref{Cf::ad3}--\eqref{Cf::ad31}
coupled with $v^{(\gamma)}(b)=0$.
\end{itemize}

\begin{example} \label{Ex::10} \rm
 Arguing in an analogous way to Example \ref{Ex::2}, we obtain
\begin{gather*}
 X_{\{0,1,2\}}^{*\{1\}}
=\big\{ v\in C^4(I): v(a)=v(b)=v'(b)= v^{(3)}(b)-p_1(b) v''(b)=0\big\} \,,\\
 X_{\{0\}}^{*\{0,1,2\}}=\big\{ v\in C^4(I): v(a)=v'(a)=v''(a)= v(b)=0\big\}
=X_{\{0,1,2\}}^{\{0\}} \,,\\
 X_{\{0,2\}}^{*\{0,1\}}=\big\{ v\in C^4(I): v(a)=v''(a)-p_1(a) v'(a)=v(b)
=v'(b)=0\big\} \,,\\
\begin{aligned}
 X_{\{0,1\}}^{*\{1,2\}}
=\big\{ &v\in C^4(I) : v^{(3)}(b)-p_1(b) v''(b)+(p_2(b)-2p_1'(b))v'(b)=0 \,, \\
 &  v(a)=v'(a)=v(b)=0\big\} \,.
\end{aligned}
 \end{gather*}
\end{example}

Next, we prove analogous results to those of the previous section
referring to functions defined in these spaces.

\begin{remark} \rm
 In this case, taking into account that the eigenvalues of one operator and
those of its adjoint are the same, we do not need to prove the existence of
the eigenvalues. Such existence follows from the one of the eigenvalues of
$T_n[\bar M]$ in the correspondent spaces,
\end{remark}

First, we prove two results which refer to the operator $T^*_n[M]$ and then
we will be able to extrapolate them for $\widehat{T}_n[(-1)^n M]$.

 \begin{proposition}  \label{P::3}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
$(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and ${\{\sigma_1,\dots,\sigma_k\}}
-{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ satisfy $(N_a)$.
Then every solution of $T^*_n[M] v(t)=0$, for $t\in (a,b)$, satisfying
the boundary conditions \eqref{Cf::ad1}--\eqref{Cf::ad2} and
\eqref{Cf::ad3}--\eqref{Cf::ad31} does not have any zero on $(a,b)$
provided that one of the following assertions is fulfilled:
 \begin{itemize}
 \item Let $n-k$ be even:
 \begin{itemize}
 \item If $k>1$, $\varepsilon_{n-k}\neq n-k-1$ and
$M\in[\bar{M}-\lambda_3'',\bar{M}-\lambda_2']$, where:
 \begin{itemize}
 \item $\lambda_3''>0$ is the least positive eigenvalue of
$T_n[\bar M]$ on the set $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k-1}|\beta\}}$.
 \item $\lambda_2'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \item If $k=1$, $\varepsilon_{n-1}\neq n-2$ and $M\in[\bar{M}-\lambda_3'',
 +\infty)$, where:
 \begin{itemize}
 \item $\lambda_3''>0$ is the least positive eigenvalue of
 $T_n[\bar M]$ on $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-2}|
 \beta\}}$.
 \end{itemize}

 \item If $k>1$, $\varepsilon_{n-k} = n-k-1$ and
 $M\in[\bar{M}-\lambda_1,\bar{M}-\lambda_2']$, where:
 \begin{itemize}
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{0,\dots,n-k-1\}}$.
 \item $\lambda_2'<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{0,\dots,n-k-1,n-k\}}$.
 \end{itemize}
 \item If $k=1$, $\varepsilon_{n-1}=n-2$ and $M\in[\bar{M}-\lambda_1,+\infty)$,
 where:
 \begin{itemize}
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1\}}^{\{0,\dots,n-2\}}$.
 \end{itemize}

 \end{itemize}
 \item Let $n-k$ be odd:
 \begin{itemize}
 \item If $1<k<n-1$, $\varepsilon_{n-k}\neq n-k-1$ and
$M\in[\bar{M}-\lambda_2',\bar{M}-\lambda_3'']$, where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the largest negative eigenvalue of
$T_n[\bar M]$ on the set $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k-1}|\beta\}}$.
 \item $\lambda_2'>0$ is the least positive eigenvalue of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \item If $1<k=n-1$, $\varepsilon_{1}\neq 0$ and
 $M\in[\bar{M}-\lambda_2',\bar{M}-\lambda_3'']$, where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the least largest negative eigenvalue of
 $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{n-1}\}}^{\{\beta\}}$, where
 $\beta=0$.
 \item $\lambda_2'>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on $X_{\{\sigma_1,\dots,\sigma_{n-2}\}}^{\{\varepsilon_1|\beta\}}$.
 \end{itemize}
 \item If $k=1<n-1$, $\varepsilon_{n-1}\neq n-2$ and
 $M\in(-\infty,\bar{M}-\lambda_3'']$, where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the largest negative eigenvalue of
  $T_n[\bar M]$ on the set $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-2}|\beta\}}$.
 \end{itemize}
 \item If $k=1$, $n=2$, $\varepsilon_1\neq 0$ and
 $M\in(-\infty,\bar{M}-\lambda_3'']$, where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the largest negative eigenvalue of
 $T_n[\bar M]$ on $X_{\{\sigma_1\}}^{\{\beta\}}=X_{\{0\}}^{\{0\}}$.
 \end{itemize}
 \item If $1<k$, $\varepsilon_{n-k} = n-k-1$ and
 $M\in[\bar{M}-\lambda_2',\bar{M}-\lambda_1]$, where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{0,\dots,n-k-1\}}$.
 \item $\lambda_2'>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{0,\dots,n-k-1,n-k\}}$.
 \end{itemize}
 \item If $k=1$, $\varepsilon_{n-1}=n-2$ and $M\in(-\infty,\bar{M}-\lambda_1]$,
 where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1\}}^{\{0,\dots,n-2\}}$.
 \end{itemize}
 \end{itemize}
 \end{itemize}
 \end{proposition}
 \begin{proof}

The proof of the above proposition follows the same steps as Proposition \ref{P::1}.
Since working with the adjoint operator is slightly different, for convenience of
the reader, we describe the steps below.

Let us denote by $v_M\in C^n(I)$ a solution of
\begin{equation}
\label{Ec::Ad} T^*_n[M] v(t)=0\,,\quad t \in (a,b)\,,
\end{equation}
satisfying the boundary conditions \eqref{Cf::ad1}--\eqref{Cf::ad2}
and \eqref{Cf::ad3}--\eqref{Cf::ad31}.
At the beginning, let us see that $v_{\bar M}$ does not have any
zero on $(a,b)$. In order to see that, we consider the decomposition
\eqref{Ec::Td*} whose existence is guaranteed by Lemma \ref{L::0Ad}.

Analogously to the proof of Lemma \ref{L::11}, since $w_0,\,\dots,\,w_n>0$,
we can conclude that, without taking into account the boundary conditions,
a solution of \eqref{Ec::Ad} for $M=\bar M$ can have at most $n-1$ zeros.
However, as we have said before, each time that either $T^*_\ell v_M(a)=0$
or $T^*_\ell v_M(b)=0$, a possible oscillation is lost. From the boundary
conditions and Lemmas \ref{L::3} and \ref{L::4}, taking into account that
$T_\ell^*v_M(t)=(-1)^\ell \widehat T_\ell v_M(t)$, we can affirm that for
every $M\in \mathbb{R}$:
 \begin{gather}
 \label{Ec::cfT*aa} T^*_{\tau_1} v_{M}(a)=\cdots=T^*_{\tau_{n-k}} v_M(a)=0\,,\\
 \label{Ec::cfT*bb} T^*_{\delta_1} v_M(b)=\cdots=T^*_{\delta_{k-1}} v_M(b)=0\,.
 \end{gather}
Thus, every nontrivial solution of \eqref{Ec::Ad} for $M=\bar M$ does not have
zeros on $(a,b)$.

Now, let us move $v_M$ continuously as a function of $M$ on a neighborhood
of $M=\bar M$. We have that $v_M$ is a solution of \eqref{Ec::Ad}, hence:
\begin{equation} \label{Ec::T*NM}
T^*_n[\bar M]v_M(t)=(\bar M-M) v_M\,,\quad t\in (a,b)\,.
\end{equation}
Analogously to the proof of Proposition \ref{P::1}, we will see that,
while $v_M$ is of constant sign, it cannot have any double zero on $(a,b)$.

We can assume that $v_{\bar M}>0$ on $I$ (if $v_{\bar M}<0$, then the
arguments are valid by multiplying by $-1$). So, in equation \eqref{Ec::T*NM}
we have:
 \begin{equation}\label{Ec::115}
T_n^*[\bar M] v_M(t) \begin{cases}
 \geq 0\,,\; t\in I\,,& \text{if $M<\bar M$,}\\
\leq 0\,,\; t\in I\,,& \text{if $M>\bar M$.}
\end{cases}
\end{equation}
 In both cases, since $\frac{-1}{w_n}<0$, $T_{n-1}^*v_M$ is a monotone function,
with at most one zero. Studying the maximal oscillation of $T_{n-\ell}^*v_M$
for $\ell=2,\dots,n$, we conclude that $T_{n-\ell}^*v_M$ has at most $\ell$ zeros.

 In particular, $T_0^* v_M$ has no more than $n$ zeros. Since $w_0>0$,
we can affirm that $v_M$ has at most $n$ zeros.
However, $v_M$ satisfies \eqref{Ec::cfT*aa}-\eqref{Ec::cfT*bb},
hence $n-1$ possible oscillation are lost. Thus, $v_M$ can have at most
a simple zero on $(a,b)$ which is not possible if it is of constant sign.

 Let us assume that $k\neq 1$ and that $\delta_k\neq k-1$ (this is equivalent
to $\varepsilon_{n-k}\neq n-k-1$). Under these assumptions, we can affirm
that $v_M$ is of constant sign up to one of the following boundary
conditions is fulfilled:
 \[
v_M^{(\eta)}(a)=0\quad \text{or}\quad v_M^{(\gamma)}(b)=0\,.
\]
Let us study what happens by moving $M$. Since we are considering $v_M\geq 0$,
we have
 \begin{equation}\label{Ec::Suab*}
v^{(\eta)}_M(a)\geq0\,,\quad \text{and}\quad
v^{(\gamma)}_M(b) \begin{cases}
 \geq 0\,,&\text{if $\gamma$ is even,}\\
 \leq 0\,,&\text{if $\gamma$ is odd.}
\end{cases}
\end{equation}
 Now, let us see how $v_M^{(\eta)}(a)$ and $v_M^{(\gamma)}(b)$
are with maximal oscillation.
 As before, with maximal oscillation only one zero on the boundary is allowed.
If $T^*_{\ell}v_M(a)=0$ for $\ell\notin\{\tau_1,\dots,\tau_{n-k},\eta\}$
or $T^*_{\ell}v_M(b)=0$ for $\ell\notin \{\delta_1,\dots,\delta_{k-1},\gamma\}$,
we have that $T^*_{\eta}v_M(a)\neq 0$ and $T^*_{\gamma}v_M(b)\neq 0$.
Because, otherwise, $v_M\equiv 0$ on $I$ and we are looking for nontrivial solutions.

 From \eqref{Ec::Tgg}, taking into account that
 $T^*_\ell v_M(t)=(-1)^\ell\widehat{T}_\ell v_M(t)$, we obtain
 \begin{equation}\label{Ec::Talbe}
\begin{gathered}
T^*_\eta v_M(a)=(-1)^\eta v_1(a)\,\dots v_{n-\eta}(a) v^{(\eta)}(a)\,,\\
T^*_\gamma v_M(b)=(-1)^\gamma v_1(b)\,\dots v_{n-\gamma}(b) v^{(\gamma)}(b)\,,
\end{gathered}
\end{equation}
 where $v_1\,\dots,v_n>0$ are given in \eqref{Ec::Td1}.
Hence, if $T^*_{\eta}v_M(a)\neq 0$ and $T^*_{\gamma}v_M(b)\neq 0$,
then $v_M^{(\eta)}(a)\neq 0$ and $v_M^{(\gamma)}(b)\neq 0$, thus the function
$v_M$ remains of constant sign.
Thus, we can assume that the unique zero, which is allowed with maximal
oscillation, is found either in $T_{\eta}^*v_M(a)$ or $T^*_{\gamma}v_M(b)$.

 In this case, since $T_k^*v_M=\frac{-1}{w_k}\frac{d}{dt}\left( T_{k-1}^*v_M\right)$
with $w_k>0$, to allow the maximal oscillation, $T_{n-\ell}^*v_M(a)$ remains of
constant sign, each time that it does not vanish and, if it vanishes, then
it changes its sign the number of times that it has vanished on the next
 $\ell$ where it is non null. And $T_{n-\ell}^*v_M(b)$ changes its sign each
time that it is non null.

At first, let us focus on the case $M<\bar M$, we have that
$T_n^*[\bar M]v_M=T_n^*v_M\geq 0$ on $I$.
In particular, $T_n^*v_M(a)\geq 0$ and $T_n^*v_M(b)\geq 0$.
Using \eqref{Ec::cfT*aa}-\eqref{Ec::cfT*bb}, from $\ell =0$ to $n-\eta$,
we have that $T_{n-\ell}v_M(a)$ vanishes $n-k-\eta$ times and from
$\ell =0$ to $n-\gamma$, $T_{n-\ell}v_M(b)=0$ $k-1-\gamma$ times.
Hence, to allow the maximal oscillation:
 \begin{equation}\label{Ec::Maxos*1}
T_{\eta}^* v_M(a) \begin{cases}
 \geq0\,,& \text{if $n-k-\eta$ is even,}\\
 \leq0\,,& \text{if $n-k-\eta$ is odd,}
\end{cases}
 \end{equation}
 and
\begin{equation} \label{Ec::Maxos*2}
T_{\gamma}^* v_M(b)\begin{cases}
 \geq0\,,& \text{if $n-\gamma-(k-1-\gamma)=n-k+1$ is even,}\\
 \leq 0\,,& \text{if $n-k+1$ is odd.}
\end{cases}
 \end{equation}

 Using \eqref{Ec::Talbe} and \eqref{Ec::Maxos*1}-\eqref{Ec::Maxos*2},
we can affirm that to set maximal oscillation:
\begin{equation}
v^{(\eta)}_M(a) \begin{cases}
 \geq0\,,& \text{if $n-k$ is even,}\\
\leq0\,,& \text{if $n-k$ is odd,}
\end{cases}
 \end{equation}
 and
 \begin{itemize}
 \item If $n-k$ is even
 \begin{equation}
v^{(\gamma)}_M(b) \begin{cases}
 \geq0\,,& \text{if $\gamma$ is odd,}\\
 \leq 0\,,& \text{if $\gamma$ is even.}
\end{cases}
 \end{equation}
 \item If $n-k$ is odd
 \begin{equation}
v^{(\gamma)}_M(b) \begin{cases}
 \leq 0\,,& \text{if $\gamma$ is odd,}\\
 \geq 0\,,& \text{if $\gamma$ is even.}
\end{cases}
 \end{equation}
 \end{itemize}
Hence, taking into account \eqref{Ec::Suab*}, we arrive at the following conclusions:
 \begin{itemize}
 \item If $n-k$ is even, the maximal oscillation is not allowed for $v_M$ if
$v_N^{(\gamma)}(b)\neq 0$ for all $N$ between $\bar M$ and $M$; which implies that $v_M>0$ on $(a,b)$ for $M\in[\bar M-{\lambda_3^*}'',\bar M]$, where ${\lambda_3^*}''>0$ is the least positive eigenvalue of $T_n^*[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\bar \beta\}}$.

 \item If $n-k$ is odd,   the maximal oscillation is not allowed for $v_M$ if
$v_N^{(\eta)}(a)\neq 0$ for all $N$ between $\bar M$ and $M$; which implies that $v_M>0$ on $(a,b)$ for $M\in[\bar M-{\lambda_2^*}',\bar M]$, where ${\lambda_2^*}'>0$ is the least positive eigenvalue of $T_n^*[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\bar \beta\}}$.
\end{itemize}
Moreover, since the eigenvalues of an operator and its adjoint are the same,
we can affirm that $\lambda_3''={\lambda_3^*}''$ and $\lambda_2'={\lambda_2^*}'$.

 Consider now the other case, i.e. $M>\bar M$. From \eqref{Ec::115},
 we have that $T_n^*v_M\leq0$. Thus, to obtain the maximal oscillation,
the inequalities \eqref{Ec::Maxos*1}-\eqref{Ec::Maxos*2} must be reversed.
So, taking into account \eqref{Ec::Talbe}, we can affirm that to get maximal
oscillation:
 \begin{equation}
v^{(\eta)}_M(a) \begin{cases}
 \leq0\,,& \text{if $n-k$ is even,}\\
\geq0\,,& \text{if $n-k$ is odd,}
\end{cases}
 \end{equation}
 and
 \begin{itemize}
 \item If $n-k$ is even
 \begin{equation}
 v^{(\gamma)}_M(b)\begin{cases}
 \leq0\,,& \text{if $\gamma$ is odd,}\\
 \geq 0\,,& \text{if $\gamma$ is even.}
\end{cases}
 \end{equation}
 \item If $n-k$ is odd
 \begin{equation}
 v^{(\gamma)}_M(b) \begin{cases}
 \geq0\,,& \text{if $\gamma$ is odd,}\\
 \leq 0\,,& \text{if $\gamma$ is even.}
\end{cases}
 \end{equation}
 \end{itemize}
Hence, we arrive at the following conclusions, taking into account
\eqref{Ec::Suab*}:
 \begin{itemize}
 \item If $n-k$ is even,  the maximal oscillation is not allowed for $v_M$ if
$v_N^{(\eta)}(a)\neq 0$ for all $N$ between $\bar M$ and $M$; which implies that $v_M>0$ on $(a,b)$ for $M\in[\bar M,\bar M-{\lambda_2^*}']=[\bar M,\bar M-\lambda_2']$.


\item If $n-k$ is odd,  the maximal oscillation is not allowed for $v_M$ if
$v_N^{(\gamma)}(b)\neq 0$ for all $N$ between $\bar M$ and $M$; which implies that $v_M>0$ on $(a,b)$ for $M\in[\bar M,\bar M-{\lambda_3^*}'']=[\bar M,\bar M-\lambda_3']$.
\end{itemize}


 Now, we realize that if $k=1$, $v_M^{(\eta)}(a)\neq0$ for all
 $M\in \mathbb{R}$, since the contrary implies that a nontrivial solution
of the homogeneous linear differential equation \eqref{Ec::Ad} has a
zero at $t=a$ of multiplicity $n$, which is not possible.

 Finally, if $\varepsilon_{n-k}=n-k-1$ or, which is the same, $\delta_k=k-1$,
we consider $v_M^{(k-1)}(b)$ instead of $v_M^{(\gamma)}(b)=v_M^{(k)}(b)$ and,
taking into account that, from $\ell=0$ to $n-(k-1)$, $T_{n-\ell}v_M(b)\neq 0$,
we obtain that to allow maximal oscillation the following properties hold:
\begin{itemize}
 \item If $M<\bar M$
 \begin{equation}
T_{k-1}^*v_M(b) \begin{cases}
 \geq0\,,& \text{if $n-k$ is odd,}\\
\leq 0\,,& \text{if $n-k$ is even.}
\end{cases}
 \end{equation}
 \item If $M>\bar M$
 \begin{equation}
T_{k-1}^*v_M(b) \begin{cases}
 \leq0\,,& \text{if $n-k$ is odd,}\\
\geq 0\,,& \text{if $n-k$ is even.}
\end{cases}
 \end{equation}
 \end{itemize}
From \eqref{Ec::Tgg}, since $T_\ell^*v_M(t)=(-1)^\ell \widehat T_\ell v_M(t)$,
 we have that
\[
T_{k-1}^*v_M(b)=(-1)^{k-1}v_1(b)\,
\cdots v_{n-k-1}(b) v^{(k-1)}_M(b)\,.
\]
So, we obtain
 \begin{itemize}
 \item If $M<\bar M$
 \begin{itemize}
 \item If $n-k$ is even
 \begin{equation}
v^{(k-1)}_M(b)\begin{cases}
 \geq0\,,& \text{if $k-1$ is odd,}\\
\leq 0\,,& \text{if $k-1$ is even.}
\end{cases}
 \end{equation}
 \item If $n-k$ is odd
 \begin{equation}
v^{(k-1)}_M(b) \begin{cases}
 \leq0\,,& \text{if $k-1$ is odd,}\\
\geq 0\,,& \text{if $k-1$ is even.}\end{cases}
 \end{equation}
 \end{itemize}
 \item If $M>\bar M$
 \begin{itemize}
 \item If $n-k$ is even
 \begin{equation}
 v^{(k-1)}_M(b)\begin{cases}
\leq0\,,& \text{if $k-1$ is odd,}\\
\geq 0\,,& \text{if $k-1$ is even.}\end{cases}
 \end{equation}
 \item If $n-k$ is odd
 \begin{equation}
 v^{(k-1)}_M(b) \begin{cases}
\geq0\,,& \text{if $k-1$ is odd,}\\
\leq 0\,,& \text{if $k-1$ is even.}\end{cases}
 \end{equation}
 \end{itemize}
 \end{itemize}

From \eqref{Ec::Suab*} we are able to complete the proof:
 \begin{itemize}
 \item If $n-k$ is even and $M<\bar M$,  the maximal oscillation is not allowed
for $v_M$ if $v_N^{(k-1)}(b)\neq 0$ for all $N$ between $\bar M$ and $M$; which implies that $v_M>0$ on $(a,b)$ for $M\in[\bar M-\lambda_1^*,\bar M]$, where $\lambda_1^*>0$ is the least positive eigenvalue of $T_n^*[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 \item If $n-k$ is odd and $M>\bar M$,  the maximal oscillation is not allowed
for $v_M$ if $v_N^{(n-k-1)}(a)\neq 0$ for all $N$  between $\bar M$ and $M$; which implies that $v_M>0$ on $(a,b)$ for $M\in[\bar M,\bar M-\lambda_1^*]$.
\end{itemize}
Because of the coincidence of the eigenvalues of an operator and the ones of
 its adjoint, we can affirm that $\lambda_1=\lambda_1^*$ and the proof is complete.
 \end{proof}

 Now, we obtain an analogous result for different boundary conditions.

 \begin{proposition} \label{P::4}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
 $(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ satisfy $(N_a)$. Then every solution of $T^*_n[M] v(t)=0$
for $t\in(a,b)$, satisfying the boundary conditions \eqref{Cf::ad1}--\eqref{Cf::ad11}
and \eqref{Cf::ad3}--\eqref{Cf::ad4}, does not have any zero on $(a,b)$ provided
that one of the following assertions is fulfilled:
 \begin{itemize}
 \item Let $n-k$ be even:
 \begin{itemize}
 \item If $k>1$, $\sigma_k\neq k-1$ and $M\in[\bar{M}-\lambda_3',\bar{M}-\lambda_2'']$,
 where:
 \begin{itemize}
 \item $\lambda_3'>0$ is the least positive eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item $\lambda_2''<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \item If $k=1$, $\sigma_1\neq 0$ and $M\in[\bar{M}-\lambda_3',\bar{M}-\lambda_2'']$,
 where:
 \begin{itemize}
 \item $\lambda_3'>0$ is the least positive eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}},$ where $\alpha=0$.
 \item $\lambda_2''<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-2}\}}$, where $\alpha=0$.
 \end{itemize}

 \item If $\sigma_{k} = k-1$ and $M\in[\bar{M}-\lambda_1,\bar{M}-\lambda_2'']$,
where:
 \begin{itemize}
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$
on $X_{\{1,\dots,k-1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item $\lambda_2''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{0,\dots,k-1,k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\}}$.
 \end{itemize}


 \end{itemize}
 \item Let $n-k$ be odd:
 \begin{itemize}
 \item If $1<k<n-1$, $\sigma_k\neq k-1$ and
$M\in[\bar{M}-\lambda_2'',\bar{M}-\lambda_3']$, where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
 \item $\lambda_2''>0$ is the least positive eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \item If $1=k<n-1$, $\sigma_1\neq 0$ and
$M\in[\bar{M}-\lambda_2'',\bar{M}-\lambda_3']$, where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$,
 where $\alpha=0$.
 \item $\lambda_2''>0$ is the least positive eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-2}\}}$, where $\alpha=0$.
 \end{itemize}
 \item If $1<k=n-1$, $\sigma_k\neq n-2$ and $M\in(-\infty,\bar{M}-\lambda_3']$,
where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{n-2}|\alpha\}}^{\{\varepsilon_1\}}$.
 \end{itemize}
 \item If $k=1$, $n=2$, $\sigma_{1}\neq 0$ and $M\in(-\infty,\bar{M}-\lambda_3']$,
where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on $X_{\{\alpha\}}^{\{\varepsilon_1\}}=X_{\{0\}}^{\{0\}}$.
 \end{itemize}
 \item If $k<n-1$, $\sigma_{k} = k-1$ and
$M\in[\bar{M}-\lambda_2'',\bar{M}-\lambda_1]$, where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{0,\dots,k-1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item $\lambda_2''>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on the set $X_{\{0,\dots,k-1,k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \item If $k=n-1$ and $\sigma_{n-1}=n-2$ and $M\in(-\infty,\bar{M}-\lambda_1]$,
 where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{0,\dots,n-2\}}^{\{\varepsilon_1\}}$.
 \end{itemize}
\end{itemize}
\end{itemize}
\end{proposition}

The proof of the above proposition is analogous to Proposition \ref{P::3}, and is
omitted here.

\begin{example}  \label{Ex::11} \rm
Returning to our problem, introduced in Example \ref{Ex::6}, we have that
operator ${T_4^0}^*[M] v(t)=v^{(4)}(t)+M v(t)=T_4^0[M] v(t)$ is defined on
 $$
X_{\{0,2\}}^{*\{1,2\}}=\big\{ v\in C^4([0,1]):v(0)=v''(0)=v(1)
=v^{(3)}(1)=0\big\} \,,
$$
as it is proved in \eqref{Ec::SExAd} because, in this case,
$p_1(t)=p_2(t)=p_3(t)=p_4(t)=0$ for all $t\in[0,1]$.

From Proposition \ref{P::3}, we conclude that each solution of
$v^{(4)}(t)+M v(t)=0$  on $[0,1]$ satisfying the boundary conditions
$v(0)=v''(0)=v(1)=0$ does not have any zero on $(0,1)$ for
$M\in[-m_3^4,m_2^4]$, where $m_2$ and $m_3$ have been introduced in
Example \ref{Ex::6}.

We note that such functions have the expressions:
\[
\begin{cases}
 K\left(\sin(m\,t)\sinh(m)-\sinh(m\,t)\sin(m)\right) \,,
&M=-m^4<0\,,\\[4pt]
K( t-t^3) \,,&M=0\,,\\[4pt]
Ke^{-\frac{m t}{\sqrt{2}}} \Big(\left(e^{\sqrt{2} m (t+1)}-1\right)
\sin \left(\frac{m (t-1)}{\sqrt{2}}\right)\\
+\left(e^{\sqrt{2} m}-e^{\sqrt{2} m t}\right) \sin \left(\frac{m
 (t+1)}{\sqrt{2}}\right)\Big)\,, &M=m^4>0\,,
\end{cases}
\]
where $K\in\mathbb{R}$.

Moreover, from Proposition \ref{P::4}, we can affirm that any solution of
 $v^{(4)}(t)+M v(t)=0$ on $[0,1]$, satisfying the boundary conditions
$v(0)=v(1)=v^{(3)}(1)=0$, does not have any zero on $(0,1)$ for
$M\in[-\pi^4,4\pi^4]$. One can show that such solutions are given as multiples of:
\[
\begin{cases}
\cos (m-m t) (\sin (m)+\sinh (m))+\sin (m- m t) (\cosh (m)-\cos (m))\\
+\sinh (m-m t) (\cosh(m)-\cos (m))-\cosh (m-m t) (\sin (m)+\sinh (m))\,,\\
\quad\text{if } M=-m^4<0\,,\\[4pt]
t-t^2\,,\quad\text{if }M=0\,,\\[4pt]
e^{-\frac{m t}{\sqrt{2}}} \Big(-\left(e^{\sqrt{2} m (t-1)}-e^{\sqrt{2} m t}
+e^{\sqrt{2}  m}-1\right) \sin \left(\frac{m t}{\sqrt{2}}\right) \\
+\left(e^{\sqrt{2} m t}-1\right) \cos
\left(\frac{m (t-2)}{\sqrt{2}}\right) -\left(e^{\sqrt{2} m t}-1\right)
\cos \left(\frac{m t}{\sqrt{2}}\right)\Big)\,,\\
\quad\text{if }M=m^4>0\,,\end{cases}
\]
\end{example}

Taking into account that if $v_M$ is a solution of \eqref{Ec::Ad}, then
$(-1)^nv_M$ is a solution of $\widehat{T}_n[(-1)^nM]v(t)=0$ for all $t\in I$,
we obtain the analogous results for $\widehat{T}_n$.

\begin{proposition}  \label{P::5}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property $(T_d)$
on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
and ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
satisfy $(N_a)$. Then every solution of $\widehat{T}_n[(-1)^n M] v(t)=0$
for $t\in(a,b)$, satisfying the boundary conditions \eqref{Cf::ad1}--\eqref{Cf::ad2}
 and \eqref{Cf::ad3}--\eqref{Cf::ad31}, does not have any zero on $(a,b)$
provided that one of the following assertions is fulfilled:
 \begin{itemize}
 \item Let $k$ be even:
 \begin{itemize}
 \item If $k<1$, $\varepsilon_{n-k}\neq n-k-1$ and
$M\in[\bar{M}-\lambda_3'',\bar{M}-\lambda_2']$, where:
 \begin{itemize}
 \item $\lambda_3''>0$ is the least positive eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.
 \item $\lambda_2'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}

 \item If $k=1$, $\varepsilon_{n-1}\neq n-2$ and $M\in[\bar{M}-\lambda_3'',+\infty)$,
 where:
 \begin{itemize}
 \item $\lambda_3''>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-2}|\beta\}}$.
 \end{itemize}

 \item If $1<k$, $\varepsilon_{n-k} = n-k-1$ and
$M\in[\bar{M}-\lambda_1,\bar{M}-\lambda_2']$, where:
 \begin{itemize}
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{0,\dots,n-k-1\}}$.
 \item $\lambda_2'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{0,\dots,n-k-1,n-k\}}$.
 \end{itemize}
 \item If $k=1$ and $\varepsilon_{n-1}=n-2$ and $M\in[\bar{M}-\lambda_1,+\infty)$,
 where:
 \begin{itemize}
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on $X_{\{\sigma_1\}}^{\{0,\dots,n-2\}}$.
 \end{itemize}

 \end{itemize}
 \item Let $k$ be odd:
 \begin{itemize}
 \item If $1<k<n-1$, $\varepsilon_{n-k}\neq n-k-1$ and
$M\in[\bar{M}-\lambda_2',\bar{M}-\lambda_3'']$, where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on  the set $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.
 \item $\lambda_2'>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \item If $1<k=n-1$, $\varepsilon_{1}\neq 0$ and
$M\in[\bar{M}-\lambda_2',\bar{M}-\lambda_3'']$, where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the least largest negative eigenvalue of
$T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{n-1}\}}^{\{\beta\}}$,
where $\beta=0$.
 \item $\lambda_2'>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on $X_{\{\sigma_1,\dots,\sigma_{n-2}\}}^{\{\varepsilon_1|\beta\}}$.
 \end{itemize}
 \item If $k=1<n-1$, $\varepsilon_{n-1}\neq n-2$ and
$M\in(-\infty,\bar{M}-\lambda_3'']$, where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-2}|\beta\}}$.
 \end{itemize}
 \item If $k=1$, $n=2$, $\varepsilon_1\neq 0$ and
$M\in(-\infty,\bar{M}-\lambda_3'']$, where:
 \begin{itemize}
 \item $\lambda_3''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1\}}^{\{\beta\}}=X_{\{0\}}^{\{0\}}$.
 \end{itemize}
 \item If $1<k$, $\varepsilon_{n-k} = n-k-1$ and
$M\in[\bar{M}-\lambda_2',\bar{M}-\lambda_1]$, where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{0,\dots,n-k-1\}}$.
 \item $\lambda_2'>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{0,\dots,n-k-1,n-k\}}$.
 \end{itemize}
 \item If $k=1$ and $\varepsilon_{n-1}=n-2$ and $M\in(-\infty,\bar{M}-\lambda_1]$,
 where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1\}}^{\{0,\dots,n-2\}}$.
 \end{itemize}
\end{itemize}
\end{itemize}
\end{proposition}

 \begin{proposition} \label{P::6}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
 $(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$ satisfy $(N_a)$. Then every solution of
$\widehat{T}_n[(-1)^nM] v(t)=0$ for $t\in(a,b)$, satisfying the boundary
conditions \eqref{Cf::ad1}--\eqref{Cf::ad11} and \eqref{Cf::ad3}--\eqref{Cf::ad4},
 does not have any zero on $(a,b)$ provided that one of the following assertions
 is fulfilled:
 \begin{itemize}
 \item Let $k$ be even:
 \begin{itemize}
 \item If $k>1$, $\sigma_k\neq k-1$ and
$M\in[\bar{M}-\lambda_3',\bar{M}-\lambda_2'']$, where:
 \begin{itemize}
 \item $\lambda_3'>0$ is the least positive eigenvalue of $T_n[\bar M]$ on
the set $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
 \item $\lambda_2''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \item If $k=1$, $\sigma_1\neq 0$ and $M\in[\bar{M}-\lambda_3',\bar{M}-\lambda_2'']$,
 where:
 \begin{itemize}
 \item $\lambda_3'>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$, where $\alpha=0$.
 \item $\lambda_2''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-2}\}}$, where $\alpha=0$.
 \end{itemize}

 \item If $\sigma_{k} = k-1$ and $M\in[\bar{M}-\lambda_1,\bar{M}-\lambda_2'']$,
 where:
 \begin{itemize}
 \item $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on $X_{\{1,\dots,k-1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item $\lambda_2''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{0,\dots,k-1,k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\}}$.
 \end{itemize}
\end{itemize}

 \item Let $k$ be odd:
 \begin{itemize}
 \item If $1<k<n-1$, $\sigma_k\neq k-1$ and
$M\in[\bar{M}-\lambda_2'',\bar{M}-\lambda_3']$, where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
 \item $\lambda_2''>0$ is the least positive eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \item If $1=k<n-1$, $\sigma_1\neq 0$ and $M\in[\bar{M}-\lambda_2'',
\bar{M}-\lambda_3']$, where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$, where $\alpha=0$.
 \item $\lambda_2''>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on $X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-2}\}}$, where $\alpha=0$.
 \end{itemize}
 \item If $1<k=n-1$, $\sigma_{n-1}\neq n-2$ and $M\in(-\infty,\bar{M}-\lambda_3']$,
 where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1,\dots,\sigma_{n-2}|\alpha\}}^{\{\varepsilon_1\}}$.
 \end{itemize}
 \item If $k=1$, $n=2$, $\sigma_{1}\neq 0$ and $M\in(-\infty,\bar{M}-\lambda_3']$,
 where:
 \begin{itemize}
 \item $\lambda_3'<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on $X_{\{\alpha\}}^{\{\varepsilon_1\}}=X_{\{0\}}^{\{0\}}$.
 \end{itemize}
 \item If $k<n-1$, $\sigma_{k} = k-1$ and
$M\in[\bar{M}-\lambda_2'',\bar{M}-\lambda_1]$, where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on the set $X_{\{0,\dots,k-1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item $\lambda_2''>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on the set $X_{\{0,\dots,k-1,k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \item If $k=n-1$ and $\sigma_{n-1}=n-2$ and $M\in(-\infty,\bar{M}-\lambda_1]$,
where:
 \begin{itemize}
 \item $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on $X_{\{0,\dots,n-2\}}^{\{\varepsilon_1\}}$.
 \end{itemize}
\end{itemize}
\end{itemize}
\end{proposition}

 \begin{remark} \rm
 In this example, we have $n=4$ which is even, so
$\tilde T_4[(-1)^4M]\equiv T_4^*[M]$. Then, Example \ref{Ex::11} is also
valid to illustrate Propositions \ref{P::5} and \ref{P::6}.
\end{remark}

\section{Characterization of the strongly inverse positive (negative)
character of $T_n[M]$ on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$}
\label{chapt7}

 This section is devoted to obtaining the main result of this work,
 such a result gives the characterization of the parameter's set where
$T_n[M]$ is either strongly inverse positive or strongly inverse negative
 on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 Such a characterization is obtained under the hypotheses that there exists
 $\bar M\in \mathbb{R}$ such that the operator $T_n[\bar M]$ satisfies property
$(T_d)$ and, moreover, ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ satisfy $(N_a)$. In such a case, from Theorem \ref{L::5},
it is known that if $n-k$ is even, then $T_n[\bar M]$ is strongly inverse positive
 on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
and, if $n-k$ is odd, then $T_n[\bar M]$ is strongly inverse negative on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

The characterization here obtained is related to the parameter's set which contains
$\bar M$. That is, if $n-k$ is even we characterize the parameter's set where
$T_n[M]$ is strongly inverse positive on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
and, if $n-k$ is odd we characterize the parameter's set where $T_n[M]$ is
strongly inverse negative on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$. In particular, $\bar M$ belongs to those intervals.


\begin{theorem}\label{T::IPN}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property $(T_d)$
on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ satisfy $(N_a)$. The following properties are fulfilled:
 \begin{itemize}
 \item If $n-k$ is even and $2\leq k\leq n-1$, then $T_n[M]$ is strongly inverse
positive on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ if and only if $M\in(\bar M-\lambda_1,\bar M-\lambda_2]$,
where
 \begin{itemize}
 \item[*] $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$ on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item[*] $\lambda_2<0$ is the maximum between:
 \begin{itemize}
 \item[·]$ \lambda_2'<0$, the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}|\beta\}}$.
 \item[·]$ \lambda_2''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$.
\end{itemize}
\end{itemize}

 \item If $k=1$ and $n$ is odd, then $T_n[M]$ is strongly inverse positive
on $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$ if
and only if $M\in(\bar M-\lambda_1,\bar M-\lambda_2]$, where
 \begin{itemize}
 \item[*] $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$.
 \item[*] $\lambda_2<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-2}\}}$.
 \end{itemize}
 \item If $n-k$ is odd and $2\leq k\leq n-2$, then $T_n[M]$ is strongly inverse
negative on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ if and only if $M\in[\bar M-\lambda_2,\bar M-\lambda_1)$,
where
 \begin{itemize}
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item[*] $\lambda_2>0$ is the minimum between:
 \begin{itemize}
 \item[$\cdot$] $\lambda_2'>0$, the least positive eigenvalue of $T_n[\bar M]$
 on the set \\
 $X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}|\beta\}}$.
 \item[$\cdot$] $\lambda_2''>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on the set $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}\}}$.
 \end{itemize}
 \end{itemize}
 \item If $k=1$ and $n>2$ is even, then $T_n[M]$ is strongly inverse negative
 on $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$ if and only if
 $M\in[\bar M-\lambda_2,\bar M-\lambda_1)$, where
 \begin{itemize}
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$.
 \item[*] $\lambda_2>0$ is the least positive eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-2}\}}$.
 \end{itemize}
 \item If $k=n-1$ and $n>2$, then $T_n[M]$ is strongly inverse negative
on $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$ if and only if
 $M\in[\bar M-\lambda_2,\bar M-\lambda_1)$, where
 \begin{itemize}
 \item[*]$\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$
 on $X_{\{\sigma_1,\dots,\sigma_{n-1}\}}^{\{\varepsilon_1\}}$.
 \item[*] $\lambda_2>0$ is the least positive eigenvalue of $T_n[\bar M]$
 on $X_{\{\sigma_1,\dots,\sigma_{n-2}\}}^{\{\varepsilon_1|\beta\}}$.
 \end{itemize}
 \item If $n=2$, then $T_n[M]$ is strongly inverse negative
on $X_{\{\sigma_1\}}^{\{\varepsilon_1\}}$ if and only if
$M\in(-\infty,\bar M-\lambda_1)$, where
 \begin{itemize}
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of
$T_n[\bar M]$ on $X_{\{\sigma_1\}}^{\{\varepsilon_1\}}$.
 \end{itemize}
 \end{itemize}
\end{theorem}

\begin{proof}
 From Lemma \ref{L::5}, we know that operator $T_n[\bar M]$ satisfies
property (A2.1) and is strongly inverse positive on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
if $n-k$ is even. Moreover, it satisfies (A2.2) and is strongly inverse
negative on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ if $n-k$ is odd.

 Then, using Theorems \ref{T::d1}, \ref{T::in2}, \ref{T::6} and \ref{T::7},
we conclude that
 \begin{itemize}
 \item If $n-k$ is even and $M\leq\bar M$, then $T_n[M]$ is strongly inverse
 positive on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ if and only if $M\in(\bar M-\lambda_1,\bar M]$.
 \item If $n-k$ is odd and $M\geq \bar M$, then $T_n[M]$ is strongly inverse
 negative on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ if and only if $M\in[\bar M,\bar M-\lambda_1)$.
 \end{itemize}

To obtain the other extreme of the interval we use the characterization
of the strongly inverse positive (negative) character given in
Theorems \ref{T::in2} and \ref{T::in21}.

The proof follows several steps.
To make the paper more readable, we indicate the different steps for the
case with $n-k$ even. For the case with $n-k$ odd the proof is analogous.
\begin{itemize}
 \item[Step 1.] Study of the related Green's function at $s=a$.
 \item[Step 2.] Study of the related Green's function at $s=b$.
 \item[Step 3.] Study of the related Green's function at $t=a$.
 \item[Step 4.] Study of the related Green's function at $t=b$.
 \item[Step 5.] Study of the related Green's function on $(a,b)\times(a,b)$.
 \end{itemize}

 Let us denote
 \[g_M(t,s)=\begin{cases}
 g_M^1(t,s)\,,&a\leq s\leq t\leq b\,,\\
 g_M^2(t,s)\,,&a<t<s<b\,,\end{cases} \]
 as the related Green's function of $T_n[M]$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
\smallskip

\noindent\textbf{Step 1.} Study of the related Green's function at $s=a$.
 Let us consider $w_M(t)=\frac{\partial^\eta}{\partial s^\eta}g_M^1(t,s)\big|_{s=a}$,
where $\eta$ has been defined in \eqref{Ec::eta}.
Using \eqref{Ec::gg} and the boundary conditions of the adjoint operator
given in \eqref{Cf::ad1}--\eqref{Cf::ad4}, if $\eta>0$, we obtain
 \[
g_M^1(t,a)=\frac{\partial}{\partial s}g_M^1(t,s)\big|_{s=a}
=\cdots=\frac{\partial^{\eta-1}}{\partial s^{\eta-1}}g_M^1(t,s)\big|_{s=a}=0\,.
\]
Note that a necessary condition to ensure the inverse positive character
is that $w_M\geq 0$. Indeed, if there exists $t^*\in [a,b]$, such that
$w_M(t^*)<0$, then there exists $\rho(t^*)>0$ such that $g_M(t^*,s)<0$
for all $s\in(0,\rho(t^*))$, which contradicts the inverse positive character.
Hence from Lemma \ref{L::5}, we have $w_{\bar M}\geq 0$ if $n-k$ is even.

 Moreover, since $g_M(t,s)$ is the related Green's function of $T_n[M]$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
 we have that $T_n[M] g_M(t,a)=0$ for all $t\in(a,b]$. Hence
 \[
\frac{\partial^\eta}{\partial s^\eta}\left( T_n[M] g_M(t,s)\right)\big|_{s=a}
=T_n[M]\,w_M(t)=0\,,\quad t\in(a,b]\,.
\]

Now, let us see which boundary conditions are satisfied by $w_M$.
To this end, we use the Green's matrix for the vectorial problem
\eqref{Ec::vec}-\eqref{Ec::Cf}, introduced in \eqref{Ec:MG}, where the
expression of $g_{n-j}(t,s)$ is given in \eqref{Ec::gj} for $j=1,\dots,n-1$.
If $k>1$, considering the first row of \eqref{Ec::Cf}, we have
 \begin{gather*}
 \frac{\partial^{\sigma_1}}{\partial t^{\sigma_1}}g_M^2(t,s)\big|_{t=a}=0\,,\\
 -\frac{\partial^{\sigma_1+1}}{\partial t^{\sigma_1}\partial s}g_M^2(t,s)
\big|_{t=a}+\alpha_0^1(s)\frac{\partial^{\sigma_1}}{\partial t^{\sigma_1}}g_M^2(t,s)
\big|_{t=a}=0\,,\\
 \dots \\\
 (-1)^\eta\frac{\partial^{\sigma_1+\eta}}{\partial t^{\sigma_1}
\partial s^\eta}g_M^2(t,s)\big|_{t=a}+\sum_{i=0}^{\eta-1}\alpha_i^\eta(s)
\frac{\partial^{i+\sigma_1}}{\partial t^{\sigma_1}\partial s^i}g_M^2(t,s)
\big|_{t=a}=0\,.
\end{gather*}
This system is satisfied in particular for $s=a$. Since $\eta+\sigma_1<n-1$
 we do not reach any diagonal element of $G(t,s)$, hence we obtain by continuity:
\begin{gather*}
 \frac{\partial^{\sigma_1}}{\partial t^{\sigma_1}}g_M^1(t,s)\big|_{(t,s)=(a,a)}=0\,,\\
-\frac{\partial^{\sigma_1+1}}{\partial t^{\sigma_1}\partial s}g_M^1(t,s)
\big|_{(t,s)=(a,a)}+\alpha_0^1(a)\frac{\partial^{\sigma_1}}{\partial t^{\sigma_1}}
g_M^1(t,s)\big|_{(t,s)=(a,a)}=0\,,\\
 \dots \\
 (-1)^\eta\frac{\partial^{\sigma_1+\eta}}{\partial t^{\sigma_1}
\partial s^\eta}g_M^1(t,s)\big|_{(t,s)=(a,a)}
+\sum_{i=0}^{\eta-1}\alpha_i^\eta(a)\frac{\partial^{i+\sigma_1}}
{\partial t^{\sigma_1}\partial s^i}g_M^1(t,s)\big|_{(t,s)=(a,a)}=0\,.
\end{gather*}
Taking into account that $\alpha_i^j\in C(I)$, we have
 \[
w_M^{(\sigma_1)}(a)=\frac{\partial^{\sigma_1+\eta}}{\partial t^{\sigma_1}
\partial s^\eta}g_M^1(t,s)\big|_{(t,s)=(a,a)}=0\,.
\]
Proceeding analogously for $\sigma_2,\dots,\sigma_{k-1}$, we obtain
 \[
w_M^{(\sigma_2)}(a)=\cdots=w_M^{(\sigma_{k-1})}(a)=0\,.
\]

 Now, let us choose the row $\sigma_k$ of $G(t,s)$. From \eqref{Ec::Cf}, we have
\begin{gather*}
 \frac{\partial^{\sigma_k}}{\partial t^{\sigma_k}}g_M^2(t,s)\big|_{t=a}=0\,,\\
 -\frac{\partial^{\sigma_k+1}}{\partial t^{\sigma_k}\partial s}g_M^2(t,s)
\big|_{t=a}+\alpha_0^1(s)\frac{\partial^{\sigma_k}}{\partial t^{\sigma_k}}g_M^2(t,s)
\big|_{t=a}=0\,,\\
 \dots\\
 (-1)^\eta\frac{\partial^{\sigma_k+\eta}}{\partial t^{\sigma_k}
\partial s^\eta}g_M^2(t,s)\big|_{t=a}+\sum_{i=0}^{\eta-1}\alpha_i^\eta(s)
\frac{\partial^{i+\sigma_k}}{\partial t^{\sigma_k}\partial s^i}g_M^2(t,s)
\big|_{t=a}=0\,.
\end{gather*}
This system is satisfied in particular for $s=a$. However, since
$\sigma_k+\eta=n-1$, we reach a diagonal element of $G(t,s)$.
Hence,  to express the previous system by means of $g^1_M(t,s)$, we have
to take into account Remark \ref{R:2.5} to obtain
 \begin{gather*}
 \frac{\partial^{\sigma_k}}{\partial t^{\sigma_k}}g_M^1(t,s)
\big|_{(t,s)=(a,a)}=0\,,\\
 -\frac{\partial^{\sigma_k+1}}{\partial t^{\sigma_k}\partial s}g_M^1(t,s)
\big|_{(t,s)=(a,a)}+\alpha_0^1(a)\frac{\partial^{\sigma_k}}{\partial t^{\sigma_k}}
g_M^1(t,s)\big|_{(t,s)=(a,a)}=0\,,\\
 \dots \\
 (-1)^\eta\frac{\partial^{\sigma_k+\eta}}{\partial t^{\sigma_k}
\partial s^\eta}g_M^1(t,s)\big|_{(t,s)=(a,a)}
+\sum_{i=0}^{\eta-1}\alpha_i^\eta(a)\frac{\partial^{i+\sigma_k}}
{\partial t^{\sigma_k}\partial s^i}g_M^1(t,s)\big|_{(t,s)=(a,a)}=1\,.
\end{gather*}
So, since $\alpha_i^j\in C(I)$, we have
 \[
w_M^{(\sigma_k)}(a)=\frac{\partial^{\sigma_k+\eta}}{\partial t^{\sigma_k}
\partial s^\eta}g_M^1(t,s)\big|_{(t,s)=(a,a)}=(-1)^\eta=(-1)^{(n-1-\sigma_k)}\,.
\]
Analogously, if $k=1$, then $w_M^{(\sigma_1)}(a)=(-1)^{n-1-\sigma_1}$.

 Now, let us see what happens at $t=b$. If we consider the $(k+1)^\mathrm{th}$
row of \eqref{Ec::Cf}, we have
\begin{gather*}
 \frac{\partial^{\varepsilon_1}}{\partial t^{\varepsilon_1}}g_M^1(t,s)
\big|_{t=b}=0\,,\\
 -\frac{\partial^{\varepsilon_1+1}}{\partial t^{\varepsilon_1}\partial s}
g_M^1(t,s)\big|_{t=b}+\alpha_0^1(s)\frac{\partial^{\varepsilon_1}}
{\partial t^{\varepsilon_1}}g_M^1(t,s)\big|_{t=b}=0\,,\\
 \dots \\
 (-1)^\eta\frac{\partial^{\varepsilon_1+\eta}}{\partial t^{\varepsilon_1}
\partial s^\eta}g_M^1(t,s)\big|_{t=b}+\sum_{i=0}^{\eta-1}\alpha_i^\eta(s)
\frac{\partial^{i+\varepsilon_1}}{\partial t^{\varepsilon_1}
\partial s^i}g_M^1(t,s)\big|_{t=b}=0\,.
\end{gather*}
 Since $b\neq a$, this system is satisfied in particular at $s=a$.
Thus, using that $\alpha_i^j\in C(I)$, we conclude:
 \[
w_M^{(\varepsilon_1)}(b)=\frac{\partial^{\varepsilon_1+\eta}}
{\partial t^{\varepsilon_1}\partial s^\eta}g_M^1(t,s)\big|_{(t,s)=(b,a)}=0\,.
\]
Proceeding analogously we obtain:
 \[
w_M^{(\varepsilon_2)}(b)=\dots=w_M^{(\varepsilon_{n-k})}(b)=0\,.
\]
Hence, $w_M$ satisfies the boundary conditions \eqref{Ec::cfaa}-\eqref{Ec::cfbb},
so we can apply Proposition \ref{P::1} to affirm that
 \begin{itemize}
 \item If $n-k$ is even and $k>1$, then $w_M> 0$ on $(a,b)$ for all
$M\in [\bar M,\bar M-\lambda_2']$.
 \item If $k=1$ and $n$ is odd, then $w_M> 0$ on $(a,b)$ for all
 $M\geq \bar M$.
\end{itemize}
To complete  this Step, let us see that if $n-k$ is even and $k>1$,
 then $T_n[M]$ cannot be inverse positive for $M>\bar M-\lambda_2'$.

Suppose that there exists $\widehat{M}>\bar M-\lambda_2'$ such that
$T_n[\widehat{M}]$ is inverse positive on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
thus from Theorems \ref{T::d1} and \ref{T::int}, we can affirm that
for every $M\in [\bar M-\lambda_2',\widehat{M}]$ operator $T_n[M]$
is inverse positive on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and, moreover,
$w_{\bar M-\lambda_2'}\geq w_M\geq w_{\widehat{M}}$.

 In particular, $0=w_{\bar M-\lambda_2'}^{(\beta)}(b)\leq w_M^{(\beta)}(b)
\leq w_{\widehat{M}}^{(\beta)}(b)$ if $\beta$ is even and
$0=w_{\bar M-\lambda_2'}^{(\beta)}(b)\geq w_M^{(\beta)}(b)
\geq w_{\widehat{M}}^{(\beta)}(b)$ if $\beta$ is odd.

 If $w_{\widehat{M}}^{(\beta)}(b)\neq 0$, then there exists $\rho>0$ such that
$w_{\widehat{M}}(t)<0$ for all $t\in (b-\rho,b)$, which contradicts our assumption.
So
 \[
0=w_{\bar M-\lambda_2'}^{(\beta)}(b)=w_M^{(\beta)}(b)
= w_{\widehat{M}}^{(\beta)}(b)\,,\quad \forall
 M\in [\bar M-\lambda_2',\widehat{M}]\,,
\]
 and this fact contradicts the discrete character of the spectrum of the
 operator $T_n[\bar M]$ on
$X_{\{\sigma_1,\dots,\sigma_{k-1}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}|\beta\}}$.
From this Step we obtain the following conclusions:
 \begin{itemize}
 \item If $n-k$ is even, $k>1$ and $M\in [\bar M,\bar M-\lambda_2']$:
 for each $t\in (a,b)$ there exists $\rho(t)>0$ such that
\[
g_M(t,s)>0\ \forall s\in(a,a+\rho(t))\,.
\]
Moreover, if $M>\bar M-\lambda_2'$; then $T_n[M]$ is not inverse
 positive on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.

 \item If $k=1$, $n$ is odd and $M\geq \bar M$:
 for each $t\in (a,b)$ there exists $\rho(t)>0$ such that
\[
 g_M(t,s)>0\ \forall s\in(a,a+\rho(t))\,.
\]
\end{itemize}
\smallskip

\noindent\textbf{Step 2.} Study of the related Green's function at $s=b$.
 Analogously to Step 1, we consider the function
 \[
y_M(t)=\frac{\partial ^\gamma}{\partial s^\gamma}g_M^2(t,s)\big|_{s=b}\,.
\]
In this case, from \eqref{Ec::gg} and the boundary conditions
\eqref{Cf::ad1}--\eqref{Cf::ad4}, we obtain that if $\gamma>0$, then
 \[
g_M^2(t,b)=\frac{\partial}{\partial s}g_M^2(t,s)\big|_{s=b}
=\cdots =\frac{\partial^{\gamma-1}}{\partial s^{\gamma-1}}g_M^2(t,s)\big|_{s=b}=0\,.
\]
We have the following assertions:
\begin{itemize}
 \item If $\gamma$ is even and there exist $t^*\in(a,b)$ such that
$y_M(t^*)<0$, then $T_n[M]$ cannot be inverse positive on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item If $\gamma$ is odd and there exist $t^*\in(a,b)$ such that $y_M(t^*)>0$,
then $T_n[M]$ cannot be inverse positive on $X_{\{\sigma_1,\dots,
\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
The proof of these assertions is analogous to the proof in Step 1 for $w_M$.


From Lemma \ref{L::5}, we obtain that if $\gamma$ is even, then
$y_{\bar M}\geq 0$ and if $\gamma$ is odd, then $y_{\bar M}\leq 0$.
As in Step 1, it can be shown that
 \[
T_n[M]\,y_M(t)=0\,,\quad \forall t\in [a,b)\,.
\]
Moreover, we can obtain the boundary conditions which $y_M$ satisfies.
Studying the Green's function related to the first order vectorial problem
 given in \eqref{Ec:MG} and the boundary conditions \eqref{Ec::Cf},
we obtain that $y_M$ satisfies:
\begin{gather*}
 y_M^{(\sigma_1)}(a)=\cdots=y_M^{(\sigma_k)}(a)=0\,,\\
 y_M^{(\varepsilon_1)}(b)=\cdots=y_M^{(\varepsilon_{n-k-1})}(b)=0\,,\\
 y_M^{(\varepsilon_{n-k})}(b)=(-1)^{(n-\varepsilon_{n-k})}\,.
 \end{gather*}

So, $y_M$ satisfies the boundary conditions \eqref{Ec::cfaaa}-\eqref{Ec::cfbbb},
then we can apply Proposition \ref{P::2} to conclude that
\begin{itemize}
 \item If $n-k$ is even and $k<n-1$, then $y_M> 0$ if $\gamma$ is even and
 $y_M<0$ if $\gamma$ is odd on $(a,b)$ for all $M\in [\bar M,\bar M-\lambda_2'']$.
 \end{itemize}
 Analogously to Step 1, it can be seen that if $n-k$ is even, then
$T_n[M]$ cannot be inverse positive for $M>\bar M-\lambda_2''$.

So from Step 2, we obtain the following conclusions:
\begin{itemize}
 \item If $n-k$ is even and $M\in [\bar M,\bar M-\lambda_2'']$:
 for each $ t\in (a,b)$ there exists $\rho(t)>0$ such that
\[
 g_M(t,s)>0\quad \forall s\in(b-\rho(t),b)\,.
\]
Moreover, if $M>\bar M-\lambda_2''$; then $T_n[M]$ is not inverse positive on
the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
\end{itemize}

From the two steps above we can conclude that the intervals where $T_n[M]$
is strongly inverse positive cannot be increased.

The rest of the proof is focused into see that these intervals are the optimal ones.
\smallskip

\noindent\textbf{Step 3.} Study of the related Green's function at $t=a$.
 Let us denote
 \[
\widehat g_{(-1)^nM}(t,s)
=\begin{cases}
 \widehat g_{(-1)^n M}^1(t,s)\,, &a\leq s\leq t\leq b\,,\\
 \widehat g_{(-1)^n M}^2(t,s)\,,&a<t<s<b\,,
\end{cases}
\]
as the related Green's function of $\widehat T_n[(-1)^nM]$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{*\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
To study the behavior at $t=a$, we consider the function
 \[
\widehat{w}_M(t)=(-1)^n\frac{\partial^\alpha }{\partial\,s^\alpha}
\widehat{g}_{(-1)^nM}^1(t,s)\big|_{s=a}\,,\quad t\in I\,.
\]
From \eqref{Ec::gg1}, it is satisfied that
 \begin{equation}\label{Ec::gs}
\widehat w_M(s)=\frac{\partial^\alpha }{\partial\,t^\alpha}{g}_{M}^2(t,s)
\big|_{t=a}\,,\quad s\in I\,,
\end{equation}
 moreover, from the boundary conditions \eqref{Ec::cfa}-\eqref{Ec::cfb},
if $\alpha>0$ we obtain
 \[
g_M(a,s)=\frac{\partial}{\partial s}{g}_{M}(t,s)\big|_{t=a}
=\cdots=\frac{\partial^{\alpha-1}}{\partial s^{\alpha-1}}{g}_{M}(t,s)
\big|_{t=a}=0\,,\quad \forall s\in(a,b).
\]
Using the arguments of Step 1, we can affirm that if there exists
$t^*\in(a,b)$ such that $\widehat w_M(t^*)<0$, then $T_n[M]$ is not inverse
positive on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
Moreover, from Lemma \ref{L::5}, if $n-k$ is even, then $\widehat{w}_{\bar M}\geq 0$.

 From the expression of $\widehat{T}_n[(-1)^n\,M]$ given in \eqref{Ec::Tg}
 and \eqref{EC::Ad}, we construct the associated vectorial problem
\eqref{Ec::vec} tacking, in this case
\begin{gather*}
\begin{aligned}
\widehat p_{n-j}(t)
&= (-1)^{n+j}p_{n-j}(t)+(-1)^{(n+j+1)}(j+1)\,p_{n-j-1}'(t)+\cdots \\
&\quad -\binom{n-1}{j} \,p_1^{(n-j-1)}(t) \,,\quad j=1,\dots,n-1\,,
\end{aligned}\\
\begin{aligned}
\widehat p_{n}(t)
&=(-1)^n p_{n}(t)+(-1)^{n+1}p_{n-1}'(t)+(-1)^{n+2}
\binom{2}{0} p_{n-2}''(t)\\
&\quad +\cdots - p_1^{(n-1)}(t)\,.
\end{aligned}
\end{gather*}
Now, the related Green's function is
\begin{equation}\label{Ec:MGh}
\widehat G(t,s)
=\begin{pmatrix}
 \widehat g_1(t,s)&\cdots&\widehat g_{n-1}(t,s)&\widehat g_{(-1)^n\,M}(t,s)\\&&&\\
 \frac{\partial }{\partial t}\,\widehat g_1(t,s)& \cdots
&\frac{\partial }{\partial t}\,\widehat g_{n-1}(t,s)
& \frac{\partial }{\partial t}\,\widehat g_{(-1)^n\,M}(t,s)\\
 \qquad \vdots&\cdots&\qquad\vdots&\qquad\vdots\\
 \frac{\partial^{n-1} }{\partial t^{n-1}}\,\widehat g_1(t,s)
&\cdots&\frac{\partial^{n-1} }{\partial t^{n-1}}\,\widehat g_{n-1}(t,s)
&\frac{\partial^{n-1}} {\partial t^{n-1}}\,\widehat g_{(-1)^n\,M}(t,s)
\end{pmatrix}.
\end{equation}
Repeating the arguments done with $T_n[M]$, we obtain
 \begin{equation} \label{Ec::gjh}
\widehat g_{n-j}(t,s)=(-1)^j\frac{\partial^j}{\partial\,s^j}
\widehat g_{(-1)^nM}(t,s)+\sum_{i=0}^{j-1}\widehat \alpha_i^j(s)
\frac{\partial^i}{\partial s^i}\widehat g_{(-1)^nM}(t,s)\,,
 \end{equation}
 where $\widehat\alpha_i^j(s)$ follow the recurrence formula
\eqref{r2}--\eqref{r4} for this problem with the obvious notation.

 The correspondent boundary conditions \eqref{Ec::Cf} are given by the
matrices $\widehat B$, $\widehat C\in \mathcal{M}_{n\times n}$, defined as follows:
  \begin{gather*}
 \big( \widehat B\big)_{i\,\tau_i+1}=1\,, \quad i=n-k+1,\dots,n\,,\\
\big( \widehat B\big)_{i\,j}=0\,,\quad \tau_i+1<j\leq n\,,\quad i=n-k+1,\dots,n\,,\\
\big( \widehat B\big)_{i\,\tau_i-h}=\widehat p_{h+1}(a)\,,\quad
 h=0,\dots\tau_i-1\,,\quad i=n-k+1,\dots,n\,,
\\
  \big( \widehat B\big)_{i\,j}=0\,,\quad j=0,\dots,n\,,\; i=n-k+1,\dots n\\
  \big( \widehat C\big)_{i\,j}=0\,,\quad j=0,\dots,n\,,\; i=0,\dots,n-k\,,
\\
 \big( \widehat C\big)_{i\,\delta_{i-(n-k)}+1}=1\,, \quad i=n-k+1,\dots,n\,,\\
 \big( \widehat C\big)_{i\,j}=0\,,\quad \delta_{i-(n-k)}+1<j\leq n\,,
 \quad i=n-k+1,\dots,n\,,\\
 \big( \widehat C\big)_{i\,\delta_{i-(n-k)}-h}=\widehat p_{h+1}(b)\,,\quad
 h=0, \dots\delta_{i-(n-k)}-1\,,\; i=n-k+1,\dots,n\,;
\end{gather*}
that is, for every $v\in C^n(I)$, we have
 \[
\widehat B\begin{pmatrix}
 v(a)\\ \vdots \\ v^{(n-1)}(a)
\end{pmatrix}
+\widehat C\begin{pmatrix}
 v(b)\\\vdots \\v^{(n-1)}(b)\end{pmatrix}
 = \begin{pmatrix}
 W_1\\ \vdots \\ W_n
\end{pmatrix} \,,
\]
 where,
 \begin{gather*}
 W_1=v^{(\tau_1)}(a)+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}(p_{n-j} v)^{(\tau_1+j-n)}(a)\,,
\\
 \dots\\
 W_{n-k}=v^{(\tau_{n-k})}(a)+\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}(p_{n-j}
 v)^{(\tau_{n-k}+j-n)}(a)\,,\\
 W_{n-k+1}=v^{(\delta_1)}(b)+\sum_{j=n-\delta_1}^{n-1}(-1)^{n-j}(p_{n-j}
 v)^{(\delta_1+j-n)}(b)\,,\\
\dots \\
 W_n=v^{(\delta_k)}(b)+\sum_{j=n-\delta_k}^{n-1}(-1)^{n-j}(p_{n-j} v)^{(\delta_k+j-n)}
(b)\,.
 \end{gather*}
As in Steps 1 and 2, we can conclude that
\[
\widehat T_n[(-1)^nM]\,\widehat{w}_M(t)=0\,,\quad t\in(a,b]\,.
\]

Next, we obtain the boundary conditions for $\widehat{w}_M$.
The used arguments are similar to the two previous steps.
By definition, $\widehat G(t,s)$ satisfies:
 \begin{equation} \label{Ec::CfGh}
\widehat B\,\widehat G(a,s)+\widehat C\,\widehat G(b,s)=0\,,\quad \forall s\in(a,b)\,.
 \end{equation}
If $k<n-1$, we consider the first row of \eqref{Ec::CfGh} to deduce:
 \begin{gather*}
 \frac{\partial^{\tau_1}}{\partial t^{\tau_1}}\widehat g_{(-1)^nM}^2(t,s)
\big|_{t=a}+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}
\frac{\partial^{\tau_1+j-n}}{\partial t^{\tau_1+j-n}}
\left( p_{n-j}(t)\widehat g_{(-1)^nM}^2(t,s)\right) \big|_{t=a}=0\,,
\\
\begin{aligned}
& -\Big( \sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}
 \frac{\partial^{\tau_1+j-n+1}}{\partial t^{\tau_1+j-n}\partial s} \big( p_{n-j}(t)\widehat g_{(-1)^nM}^2(t,s)\big) \big|_{t=a}\\&+\frac{\partial^{\tau_1+1}}{\partial t^{\tau_1}\partial s}
 \widehat g_{(-1)^nM}^2(t,s)\big|_{t=a}
 \Big)
 +\widehat\alpha_0^1(s)\Big( \frac{\partial^{\tau_1}}{\partial t^{\tau_1}}
 \widehat g_{(-1)^nM}^2(t,s)\big|_{t=a} \\
&+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}
 \frac{\partial^{\tau_1+j-n}}{\partial t^{\tau_1+j-n}}
 \Big( p_{n-j}(t)\widehat g_{(-1)^nM}^2(t,s)\Big) \big|_{t=a}\Big) =0\,,
\end{aligned}\\
\dots\\
\begin{aligned}
&(-1)^\alpha\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}
 \frac{\partial^{\tau_1+j-n+\alpha}}{\partial t^{\tau_1+j-n}\partial s^\alpha}
 \Big( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\Big) \big|_{t=a} \\
&+(-1)^\alpha\left( \frac{\partial^{\tau_1+\alpha}}{\partial t^{\tau_1}
\partial s^\alpha}\widehat g_{(-1)^nM}^2(t,s)\big|_{t=a}\right)
+\sum_{i=0}^{\alpha-1}\widehat \alpha_i^\alpha(s)
\Big( \frac{\partial^{\tau_1+i}}{\partial t^{\tau_1}
\partial s^i}\widehat g_{(-1)^nM}^2(t,s)\big|_{t=a} \\
&+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}
 \frac{\partial^{\tau_1+j-n+i}}{\partial t^{\tau_1+j-n}
 \partial s^i}\left( p_{n-j}(t)\widehat g_{(-1)^nM}^2(t,s)\right)
\big|_{t=a}\Big) =0\,.
\end{aligned}
\end{gather*}

 Since $\tau_1+\alpha<n-1$, we do not reach any diagonal element, hence the
previous system is satisfied for $s=a$, and we obtain
 \begin{gather*}
\begin{aligned}
&\frac{\partial^{\tau_1}}{\partial t^{\tau_1}}\widehat g_{(-1)^nM}^1(t,s)
\big|_{(t,s)=(a,a)}\\
&+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}
\frac{\partial^{\tau_1+j-n}}{\partial t^{\tau_1+j-n}}
\left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right)
\big|_{(t,s)=(a,a)}=0\,,
\end{aligned} \\
\begin{aligned}
&-\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j} \frac{\partial^{\tau_1+j-n+1}}
{\partial t^{\tau_1+j-n}\partial s}
 \Big( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\Big) \big|_{(t,s)=(a,a)}& \\
&- \frac{\partial^{\tau_1+1}}{\partial t^{\tau_1}\partial s}
 \widehat g_{(-1)^nM}^1(t,s)\big|_{(t,s)=(a,a)}
 +\widehat\alpha_0^1(a)
 \Big( \frac{\partial^{\tau_1}}{\partial t^{\tau_1}}\widehat g_{(-1)^nM}^1(t,s)
 \big|_{(t,s)=(a,a)} \\
&+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j} \frac{\partial^{\tau_1+j-n}}
 {\partial t^{\tau_1+j-n}}\left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right)
 \big|_{(t,s)=(a,a)}\Big) =0\,,
\end{aligned}\\
 \dots \\
\begin{aligned}
&(-1)^\alpha\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}
 \frac{\partial^{\tau_1+j-n+\alpha}}{\partial t^{\tau_1+j-n}\partial s^\alpha}
 \left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{(t,s)=(a,a)} \\
& +(-1)^\alpha\left( \frac{\partial^{\tau_1+\alpha}}{\partial t^{\tau_1}
 \partial s^\alpha}\widehat g_{(-1)^nM}^1(t,s)\big|_{(t,s)=(a,a)}\right) \\
&+\sum_{i=0}^{\alpha-1}\widehat \alpha_i^\alpha(a)
 \Big( \frac{\partial^{\tau_1+i}}{\partial t^{\tau_1}\partial s^i}
 \widehat g_{(-1)^nM}^1(t,s)\big|_{(t,s)=(a,a)} \\
&+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}
\frac{\partial^{\tau_1+j-n+i}}{\partial t^{\tau_1+j-n}\partial s^i}
\left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{(t,s)=(a,a)}
\Big) =0\,.
\end{aligned}
\end{gather*}
Since $\widehat \alpha_i^j\in C(I)$, we conclude that
\[
\widehat{w}_M^{(\tau_1)}(a)+\sum_{j=n-\tau_1}^{n-1}(-1)^{n-j}
\left( p_{n-j}\widehat w_M\right) ^{(\tau_1+j-n)}(a)=0\,.
\]
Proceeding analogously with $\tau_2,\dots,\tau_{n-k-1}$, we can ensure
that $\widehat w_M$ satisfies the boundary conditions
\eqref{Cf::ad1}--\eqref{Cf::ad11}.

 Now, let us see what happens for $\tau_{n-k}$. From \eqref{Ec::CfGh},
we obtain that for all $s\in(a,b)$ the following equalities hold:
\begin{gather*}
\begin{aligned}
&\frac{\partial^{\tau_{n-k}}}{\partial t^{\tau_{n-k}}}\widehat
g_{(-1)^nM}^2(t,s)\big|_{t=a} \\
&+\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
 \frac{\partial^{\tau_{n-k}+j-n}}{\partial t^{\tau_{n-k}+j-n}}
 \left( p_{n-j}(t)\widehat g_{(-1)^nM}^2(t,s)\right) \big|_{t=a}&=0\,,
\end{aligned}\\
\begin{aligned}
&-\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
  \frac{\partial^{\tau_{n-k}+j-n+1}}{\partial t^{\tau_{n-k}+j-n}
 \partial s}\left( p_{n-j}(t)\widehat g_{(-1)^nM}^2(t,s)\right)
 \big|_{t=a} \\
&- \frac{\partial^{\tau_{n-k}+1}}{\partial t^{\tau_{n-k}}
 \partial s}\widehat g_{(-1)^nM}^2(t,s)\big|_{t=a}
 +\widehat\alpha_0^1(s)\Big( \frac{\partial^{\tau_{n-k}}}{\partial t^{\tau_{n-k}}}
 \widehat g_{(-1)^nM}^2(t,s)\big|_{t=a} \\
&+\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j} \frac{\partial^{\tau_{n-k}+j-n}}
{\partial t^{\tau_{n-k}+j-n}}\left( p_{n-j}(t)\widehat g_{(-1)^nM}^2(t,s)\right)
 \big|_{t=a}\Big) =0\,,
\end{aligned}\\
 \dots\\
\begin{aligned}
&(-1)^\alpha\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
\frac{\partial^{\tau_{n-k}+j-n+\alpha}}{\partial t^{\tau_{n-k}+j-n}
\partial s^\alpha}\left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right)
\big|_{t=a}\\
&+(-1)^\alpha \frac{\partial^{\tau_{n-k}+\alpha}}{\partial t^{\tau_{n-k}}
 \partial s^\alpha}\widehat g_{(-1)^nM}^2(t,s)\big|_{t=a}
 +\sum_{i=0}^{\alpha-1}\widehat \alpha_i^\alpha(s)
\Big( \frac{\partial^{\tau_{n-k}+i}}{\partial t^{\tau_{n-k}}\partial s^i}
\widehat g_{(-1)^nM}^2(t,s)\big|_{t=a}\\
& +\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
\frac{\partial^{\tau_{n-k}+j-n+i}}{\partial t^{\tau_{n-k}+j-n}
\partial s^i}\left( p_{n-j}(t)\widehat g_{(-1)^nM}^2(t,s)\right)
\big|_{t=a}\Big) =0\,.
\end{aligned}
\end{gather*}

In this case, since $\tau_{n-k}+\alpha=n-1$, we reach a diagonal element of
$\widehat G(t,s)$, hence by Remark \ref{R:2.5}, we obtain the following system
for $s=a$:
 \begin{gather*}
\begin{aligned}
&\frac{\partial^{\tau_{n-k}}}{\partial t^{\tau_{n-k}}}
 \widehat g_{(-1)^nM}^1(t,s)\big|_{(t,s)=(a,a)}\\
&+\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
\frac{\partial^{\tau_{n-k}+j-n}}{\partial t^{\tau_{n-k}+j-n}}
 \left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{(t,s)=(a,a)}=0\,,
\end{aligned}\\
\begin{aligned}
&- \sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
 \frac{\partial^{\tau_1+j-n+1}}{\partial t^{\tau_{n-k}+j-n}\partial s}
 \left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{(t,s)=(a,a)}\\
&-\frac{\partial^{\tau_{n-k}+1}}{\partial t^{\tau_{n-k}}\partial s}
\widehat g_{(-1)^nM}^1(t,s)\big|_{(t,s)=(a,a)}
 +\widehat\alpha_0^1(a)\Big( \frac{\partial^{\tau_{n-k}}}
{\partial t^{\tau_{n-k}}}\widehat g_{(-1)^nM}^1(t,s)\big|_{(t,s)=(a,a)}  \\
&+\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
 \frac{\partial^{\tau_{n-k}+j-n}}{\partial t^{\tau_{n-k}+j-n}}
 \left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{(t,s)=(a,a)}\Big) =0\,,
\end{aligned}\\
 \dots \\
\begin{aligned}
&(-1)^\alpha\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
\frac{\partial^{\tau_{n-k}+j-n+\alpha}}{\partial t^{\tau_{n-k}+j-n}
\partial s^\alpha}\left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right)
\big|_{(t,s)=(a,a)} \\
&(-1)^\alpha \frac{\partial^{\tau_{n-k}+\alpha}}{\partial t^{\tau_{n-k}}
\partial s^\alpha}\widehat g_{(-1)^nM}^1(t,s)\big|_{(t,s)=(a,a)}\\
&+\sum_{i=0}^{\alpha-1}\widehat \alpha_i^\alpha(s)
\Big( \frac{\partial^{\tau_{n-k}+i}}{\partial t^{\tau_{n-k}}\partial s^i}
\widehat g_{(-1)^nM}^1(t,s)\big|_{(t,s)=(a,a)}\\
&+\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j} \frac{\partial^{\tau_{n-k}+j-n+i}}
{\partial t^{\tau_{n-k}+j-n}\partial s^i}
\left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right)
\big|_{(t,s)=(a,a)}\Big) &=1\,.
\end{aligned}
\end{gather*}

 Since $\widehat \alpha_i^j\in C(I)$, from the definition of $\widehat w_M$,
we deduce that
 \[
\widehat{w}_M^{(\tau_{n-k})}(a)+\sum_{j=n-\tau_{n-k}}^{n-1}(-1)^{n-j}
\,\left( p_{n-j}\widehat w_M\right) ^{(\tau_{n-k}+j-n)}(a)
=(-1)^{n-\alpha}=(-1)^{1+\tau_{n-k}}\,.
\]
Now, let us study the behavior of $\widehat w_M$ at $t=b$.
Studying the $(n-k+1)^{\mathrm{th}}$ row of \eqref{Ec::CfGh}, we have for all
$s\in(a,b)$:
 \begin{gather*}
 \frac{\partial^{\delta_1}}{\partial t^{\delta_1}}
\widehat g_{(-1)^nM}^1(t,s)\big|_{t=b}
+\sum_{j=n-\delta_1}^{n-1}(-1)^{n-j}
\frac{\partial^{\delta_1+j-n}}{\partial t^{\delta_1+j-n}}
\left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{t=b}=0\,,\\
\begin{aligned}
&-\Big(\sum_{j=n-\delta_1}^{n-1}(-1)^{n-j}
 \frac{\partial^{\delta_1+j-n+1}}{\partial t^{\delta_1+j-n}\partial s}  \left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{t=b}\\& + \frac{\partial^{\delta_1+1}}{\partial t^{\delta_1}\partial s}
 \widehat g_{(-1)^nM}^1(t,s)\big|_{t=b}\Big)
 +\widehat\alpha_0^1(s)\Big( \frac{\partial^{\delta_1}}{\partial t^{\delta_1}}
 \widehat g_{(-1)^nM}^1(t,s)\big|_{t=b} \\
&+\sum_{j=n-\delta_1}^{n-1}(-1)^{n-j}
\frac{\partial^{\delta_1+j-n}}{\partial t^{\delta_1+j-n}}
 \left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{t=b}\Big) =0\,,
\end{aligned}\\
 \dots \\
\begin{aligned}
&(-1)^\alpha\sum_{j=n-\delta_1}^{n-1}(-1)^{n-j}
\frac{\partial^{\delta_1+j-n+\alpha}}{\partial t^{\delta_1+j-n}\partial s^\alpha}
\left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{t=b} \\
&(-1)^\alpha \frac{\partial^{\delta_1+\alpha}}{\partial t^{\delta_1}
 \partial s^\alpha}\widehat g_{(-1)^nM}^1(t,s)\big|_{t=b}
+\sum_{i=0}^{\alpha-1}\widehat \alpha_i^\alpha(s)
\Big( \frac{\partial^{\delta_1+i}}{\partial t^{\delta_1}\partial s^i}
\widehat g_{(-1)^nM}^1(t,s)\big|_{t=b}\\
& +\sum_{j=n-\delta_1}^{n-1}(-1)^{n-j}
\frac{\partial^{\delta_1+j-n+i}}{\partial t^{\delta_1+j-n}\partial s^i}
\left( p_{n-j}(t)\widehat g_{(-1)^nM}^1(t,s)\right) \big|_{t=b}\Big) =0\,.
\end{aligned}
\end{gather*}
 Since $b\neq a$, this system is satisfied for $s=a$. Taking into account
that $\widehat \alpha_i^j\in C(I)$, we conclude that
 \[
\widehat{w}_M^{(\delta_1)}(b)+\sum_{j=n-\delta_1}^{n-1}(-1)^{n-j}
\left( p_{n-j}\widehat w_M\right) ^{(\delta_1+j-n)}(b)=0\,.
\]
Proceeding analogously with $\delta_2,\dots,\delta_k$, we can affirm
that $\widehat{w}_M$ satisfies the boundary conditions
\eqref{Cf::ad3}--\eqref{Cf::ad4}.

We have proved that $\widehat{w}_M$ satisfies the boundary conditions
\eqref{Cf::ad1}--\eqref{Cf::ad11} and \eqref{Cf::ad3}--\eqref{Cf::ad4},
thus we can apply Proposition \ref{P::4} to conclude that
 \begin{itemize}
 \item If $n-k$ is even and $k<n-1$, then $\widehat w_M> 0$ on
\end{itemize}
From \eqref{Ec::gs}, we obtain the following conclusion:
 \begin{itemize}
 \item If $n-k$ is even and $M\in [\bar M,\bar M-\lambda_2'']$:
for each $s\in (a,b)$ there exists $\rho(s)>0$ such that
$ g_M(t,s)>0$ for all $t\in(a,a+\rho(s))$.
\end{itemize}
\smallskip

\noindent\textbf{Step 4.} Study of the related Green's function at $t=b$.
To study the behavior at $t=b$, we consider the  function
 \[
\widehat{y}_M(t)=(-1)^n\frac{\partial^\beta }{\partial\,s^\beta}
\widehat{g}_{(-1)^nM}^2(t,s)\big|_{s=b}\,.
\]
From \eqref{Ec::gg1}, it is satisfied that
 \begin{equation}\label{Ec::gsb}
\widehat y_M(s)=\frac{\partial^\beta }{\partial\,t^\beta}{g}_{M}^1(t,s)
\big|_{t=b}\,,
\end{equation}
moreover, from the boundary conditions \eqref{Ec::cfa}-\eqref{Ec::cfb},
if $\beta>0$ we obtain
 \[
g_M(b,t)=\frac{\partial}{\partial s}{g}_{M}(t,s)\big|_{t=b}
=\cdots=\frac{\partial^{\beta-1}}{\partial s^{\beta-1}}{g}_{M}(t,s)
\big|_{t=b}=0\,.
\]
As in the previous Steps, we can affirm that if there exists
$t^*\in(a,b)$ such that either $\widehat y_M(t^*)<0$ and
$\beta$ even or $\widehat y_M(t^*)>0$ and $\beta$ odd, then
$T_n[M]$ is not inverse positive on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 From Lemma \ref{L::5}, if $n-k$ is even, then $\widehat{y}_{\bar M}\geq 0$
if $\beta$ is even and $\widehat{y}_{\bar M}\leq 0$ if $\beta$ is odd.
Furthermore, we have
 \[
\widehat T_n[(-1)^nM]\,\widehat{y}_M(t)=0\,,\quad t\in[a,b)\,.
\]

 Now, using similar arguments as before, we obtain that $\widehat{y}_M$
satisfies the boundary conditions \eqref{Cf::ad1}--\eqref{Cf::ad2}
and \eqref{Cf::ad3}--\eqref{Cf::ad31}. Moreover, it satisfies:
 \[
\widehat{y}_M^{(\delta_k)}(b)+\sum_{j=n-\delta_k}^{n-1}(-1)^{n-j}
\left( p_{n-j}\widehat y_M\right) ^{(\delta_k+j-n)}(b)=(-1)^{n-\beta+1}
=(-1)^{\delta_k}\,.
\]
Thus, we can apply Proposition \ref{P::3} to conclude that
 \begin{itemize}
 \item If $n-k$ is even and $k>1$, then $\widehat{y}_M> 0$
on $(a,b)$ if $\beta$ is even and $\widehat{y}_M< 0$ on $(a,b)$ if $\beta$
is odd for all $M\in [\bar M,\bar M-\lambda_2']$.
 \item If $k=1$ and $n$ is odd, then $\widehat{y}_M> 0$ on $(a,b)$ if $\beta$
is even and $\widehat{y}_M< 0$ on $(a,b)$ if $\beta$ is odd for all $M\geq \bar M$.
 \end{itemize}
 So, from this Step, we obtain the following conclusions:
 \begin{itemize}
 \item If $n-k$ is even, $k>1$ and $M\in [\bar M,\bar M-\lambda_2']$:
 for each $s\in (a,b)$ there exists $\rho(s)>0$ such that
$ g_M(t,s)>0\ \forall t\in(b-\rho(s),b)$.

\item If $k=1$, $n$ is odd and $M\geq \bar M$:
 for each $s\in (a,b)$ there exists $\rho(s)>0$ such that
$g_M(t,s)>0$ for all $t\in(b-\rho(s),b)$.
 \end{itemize}
\smallskip


\noindent\textbf{Step 5}
 Study of the related Green's function on $(a,b)\times(a,b)$.
 To finish the proof we only need to verify that $(-1)^{n-k} g_M(t,s)>0$
for a.e. $(t,s)\in I\times I$ if $M$ belongs to the given intervals.
In fact, we will prove that $(-1)^{n-k} g_M(t,s)>0$ on $(a,b)\times(a,b)$
for those $M$. To this end, for all $s\in(a,b)$, let us denote $u_M^s(t)=g_M(t,s)$.

 By the definition of a Green's function it is known that for all $s\in(a,b)$:
 \begin{equation}\label{Ec::us}
T_n[\bar M] u_M^s(t)=\left( \bar M-M\right) u_M^s(t)\,,\quad \forall
t\neq s\,,\ t\in I\,.
\end{equation}
Moreover, $u_M^s\in C^{n-2}(I)$ and it satisfies the boundary conditions
\eqref{Ec::cfa}-\eqref{Ec::cfb}.

From Lemma \ref{L::5}, it is known that $(-1)^{n-k}u^s_{\bar M}\geq 0$ on $I$.
Now, moving continuously with $M$, we will verify that while $u_M^s$ is
of constant sign on $I$, it cannot have a double zero on $(a,b)$,
which implies that the sign change must be either at $t=a$ or $t=b$
and then the result is proved.
We study separately the cases where $n-k$ is even or odd.

First, let us assume that $n-k$ is even. In this case, from Theorem \ref{T::6},
we only need to study the behavior for $M>\bar M$ and $u_M^s\geq0$.
From \eqref{Ec::us}, we have that $T_n[\bar M] u_M^s\leq 0$; hence,
since $v_1\,\dots v_n>0$, $\frac{1}{v_n}T_{n-1} u_M^s$ is a decreasing
function, with two continuous components. Then, it has at most two zeros
on $I$ (see Figure \ref{Fig::1}).

\begin{figure}[htb]
\begin{center}
\setlength{\unitlength}{1mm}
\begin{picture}(82,44)(0,0)
\put(-2,10){\vector(1,0){82}}
\put(0,0){\vector(0,1){44}}
\qbezier(0,40)(33,40)(38,0)
\qbezier(40,30)(73,30)(78,0)
\put(1,6){$0$}
\put(40,9){\line(0,1){2}}
\put(39,6){$t=s$}
\put(78,6){$1$}
\end{picture}
\end{center}  % grafican-1-1
\caption{$\frac{1}{v_n(t)}\,T_{n-1} u_M^s(t)$, maximal oscillation with
$t\in I=[0,1]$} \label{Fig::1}
 \end{figure}

 Although we cannot know the increasing or decreasing intervals of
$T_{n-1}u_M^s$; since $v_n>0$, it has the same sign as $\frac{1}{v_n}T_{n-1} u_M^s$.
Thus, $T_{n-1}u_M^s$ has at most two zeros on $I$.
So, $\frac{1}{v_{n-1}}T_{n-2} u_M^s$ is a continuous function, with at most
four zeros on $I$ (see Figure \ref{Fig::2}).

 \begin{figure}[htb]
\begin{center}
\setlength{\unitlength}{1mm}
\begin{picture}(82,40)(0,-20)
\put(-2,0){\vector(1,0){82}}
\put(0,-20){\vector(0,1){40}}
\qbezier(0,-20)(20,40)(40,-20)
\qbezier(40,-20)(60,60)(80,-20)
\put(1,-4){$0$}
\put(40,-1){\line(0,1){2}}
\put(36,-4){$t=s$}
\put(78,-4){$1$}
\end{picture}
\end{center} % grafican-2-1
 \caption{$\frac{1}{v_{n-1}(t)}\,T_{n-2} u_M^s(t)$, maximal oscillation
with $t\in I=[0,1]$} \label{Fig::2}
 \end{figure}

Again, since $v_{n-1}>0$, it follows that $T_{n-2}u_M^s$ has the same
sign as $\frac{1}{v_{n-1}}\,T_{n-2} u_M^s$. So, $T_{n-2}u_M^s$ has at
 most fourth zeros on $I$. Hence, $\frac{1}{v_{n-2}}\,T_{n-3} u_M^s$
has at most five zeros on $I$, the same as $T_{n-3}u_M^s$.

By recurrence, we conclude that $T_{n-\ell} u_M^s$ has, with maximal
oscillation, at most $\ell +2$ zeros on $I$.
However, each time that either $T_{n-\ell} u_M^s(a)=0$ or
$T_{n-\ell} u_M^s(b)=0$, a possible oscillation on $(a,b)$ is lost.
From the boundary conditions \eqref{Ec::cfa}-\eqref{Ec::cfb}, coupled
 with Lemmas \ref{L::1} and \ref{L::2}, we can affirm that $n$ possible
oscillations are lost. Hence, $u_M^s$ can have at most two zeros on $(a,b)$.

Let us see that, despite this fact does not inhibit that, with maximal
oscillation, $u_M^s$ has a double zero on $(a,b)$, this double zero is
not possible. If $T_\ell u(a)=0$ for $\ell\notin \{\sigma_1,\dots,\sigma_k\}$,
then $u_s$ can have only a simple zero and this is not possible while it is of
 constant sign.

 Now, to allow this possible double zero, let us study which should be the
sign of $u^{(\alpha)}(a)$. We have already said that $T_{n-\ell}u_M^s(a)$
changes its sign for two consecutive $\ell\in \{0,\dots,n\}$ if it does not
vanish. Moreover, at every time that $T_{n-\ell}u^s_M(a)= 0$ the sign
change comes on the next $\tilde \ell$ for which $T_{n-\tilde \ell}u^s_M(a)\neq 0$.
 Since, from $\ell=0$ to $n-\alpha$ there are $k-\alpha$ zeros of
$T_{n-\ell}u^s_M(a)$, to allow the maximal oscillation it is necessary to
 have
 \begin{equation*}
 T_{\alpha} u_M^s(a)  \begin{cases}
\leq0\,,& \text{if $n-\alpha-(k-\alpha)=n-k$ is even,}\\
\geq0\,,& \text{if $n-k$ is odd.}
\end{cases}
 \end{equation*}
As a direct consequence of \eqref{Ec::Tab}, we can affirm that with maximal
oscillation it must be verified
 \begin{equation}\label{Ec::usal}
 {u^s_M}^{(\alpha)}(a)  \begin{cases}
\leq0\,,& \text{if $n-k$ is even,}\\
 \geq0\,,& \text{if $n-k$ is odd.}
\end{cases}
 \end{equation}

On the other hand, since $u_M^s\geq 0$, it must be satisfied that
 ${u_M^s}^{(\alpha)}(a)\geq 0$. We can assume that ${u_M^s}^{(\alpha)}(a)>0$.
 Because, in other case, i.e. if ${u_M^s}^{(\alpha)}(a)=0$,
then $T_{\alpha} u_M^s(a)=0$ and another possible oscillation is lost,
so it only remains the possibility of having a simple zero on $(a,b)$,
 which is not possible when $u_M^s$ is of constant sign.

 If ${u_M^s}^{(\alpha)}(a)>0$, from \eqref{Ec::usal} the maximal oscillation
is not allowed. So, we have again only the possibility of a simple zero
 on $(a,b)$. Hence we conclude:
 \begin{itemize}
 \item If $n-k$ even and $M>\bar M$, if $u_M^s\geq 0$, then $u_M^s>0$ on $(a,b)$.
 \end{itemize}
Thus, combining these assertions with the previous Steps the result is proved.
\end{proof}

\begin{example}  \label{Ex::12} \rm
 In Example \ref{Ex::6} the eigenvalues related to operator $T_4^0[0]$
the different sets, $X_{\{0,2\}}^{\{1,2\}}$, $X_{\{0,2\}}^{\{0,1\}}$
and $X_{\{0,1\}}^{\{1,2\}}$, have been obtained.
They are denoted by $\lambda_1$, $\lambda_2'$ and $\lambda_2''$, respectively.
We have that $\lambda_1=m_1^4$ and
 \[
\lambda_2=\max\{\lambda_2',\lambda_2''\}=\max\{-m_2^4,-4\pi^4\}=-4\pi^4\,,
\]
 where $m_1\approxeq 2.36502$ and $m_2\approxeq 5.550305$ have been
introduced in Example \ref{Ex::6} as the least positive solutions
of \eqref{Ec::Ex61} and \eqref{Ec::Ex62}, respectively.

 So, we can affirm that $T_4^0[M]$ is a strongly inverse positive operator
 on $X_{\{0,2\}}^{\{1,2\}}$ if and only if $M\in (-m_1^4,4\pi^4]$
\end{example}

\begin{remark} \rm
In Steps 1 and 2, to obtain that $w_M$ and $y_M$ satisfy the boundary
conditions \eqref{Ec::cfaa}-\eqref{Ec::cfbb} and
\eqref{Ec::cfaaa}-\eqref{Ec::cfbbb}, respectively, we do not need
to impose that the operator $T_n[\bar M]$ satisfies property $(T_d)$.
\end{remark}

Taking into account the previous Remark, we obtain the following result.

\begin{theorem} \label{T::cv}
If either $\sigma_k=k-1$ or $\varepsilon_{n-k}=n-k-1$, we have the
following properties:
 \begin{itemize}
 \item If $n-k$ is even, then there is no $M\in \mathbb{R}$ such that
 $T_n[M]$ is inverse negative on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$.
 \item If $n-k$ is odd, then there is no $M\in \mathbb{R}$ such that
$T_n[M]$ is inverse positive on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
\end{theorem}

 \begin{proof}
 If $\sigma_k=k-1$, then $\{\sigma_1,\dots,\sigma_k\}=\{0,\dots,k-1\}$.
We consider
 \[
w_M(t)=\frac{\partial^\eta}{\partial s^\eta}g_M^1(t,s)\big|_{s=a}\,,
\]
 defined in Step 1 of the proof of Theorem \ref{T::IPN}.

 By the calculations done in the proof of the mentioned result, we conclude
that for all $M\in \mathbb{R}$, $w_M$ satisfies the following boundary conditions:
 \[
w_M(a)=\cdots=w_M^{(k-2)}(a)=0\,,\quad w_M^{(k-1)}(a)=(-1)^{n-\sigma_k-1}
=(-1)^{n-k}\,.
\]
Hence, if $n-k$ is even, then there exists $\rho>0$, such that $w_M(t)>0$
for all $t\in(a,a+\rho)$. So, $T_n[M]$ cannot be inverse negative for any real $M$.

Now, if $n-k$ is odd, then there exists $\rho>0$, such that $w_M(t)<0$
for all $t\in(a,a+\rho)$. Thus, $T_n[M]$ cannot be inverse positive for any
$M\in\mathbb{R}$.
Analogously, if $\varepsilon_{n-k}=n-k-1$, then
$\{\varepsilon_1,\dots,\varepsilon_{n-k}\}=\{0,\dots,n-k-1\}$ and
$\gamma=n-\varepsilon_{n-k}-1=k$.
We consider now
 \[
y_M(t)=\frac{\partial^\gamma}{\partial s^\gamma}g_M^2(t,s)\big|_{s=b}\,,
\]
 defined in Step 2 of the proof of Theorem \ref{T::IPN}.

 By the previous calculations, we conclude that for all $M\in \mathbb{R}$,
$y_M$ satisfies the following boundary conditions:
 \[
y_M(b)=\cdots=y_M^{(n-k-2)}(b)=0\,,\quad y_M^{(n-k-1)}(b)
=(-1)^{n-\varepsilon_{n-k}}=(-1)^{k+1}\,.
\]

Hence, if $n-k$ and $k$ are even, then there exists $\rho>0$, such that
$y_M(t)>0$ for all $t\in(b-\rho,b)$. So, $T_n[M]$ cannot be inverse negative
for any real $M$.
Moreover, if $n-k$ is even and $k$ odd, then there exists $\rho>0$, such that
 $y_M(t)<0$ for all $t\in(b-\rho,b)$. So, $T_n[M]$ cannot be inverse negative
for any real $M$.

Now, if $n-k$ and $k$ are odd, then there exists $\rho>0$, such that
$y_M(t)>0$ for all $t\in(b-\rho,b)$. So, $T_n[M]$ cannot be inverse positive
for any real $M$.
Finally, if $n-k$ is odd and $k$ even, then there exists $\rho>0$,
such that $y_M(t)<0$ for all $t\in(b-\rho,b)$. As consequence, $T_n[M]$
cannot be inverse positive for any real $M$.
 \end{proof}

 \section{Particular Cases}\label{SS::Ex}

 This Section is devoted to show the applicability of Theorem
\ref{T::IPN} to  particular situations. Let us consider $I=[0,1]$.
We have showed every result for the particular case where $n=4$,
 $\{\sigma_1,\sigma_2\}=\{0,2\}$, $\{\varepsilon_1,\varepsilon_2\}=\{1,2\}$
and $T_4^0[M] u(t)=u^{(4)}(t)+M u(t)$, which satisfies the hypotheses of
Theorem \ref{T::IPN} for $\bar M=0$.

If we wanted to study the strongly inverse positive character of $T_4^0[M]$
on $X_{\{0,2\}}^{\{1,2\}}$ without taking into account Theorem \ref{T::IPN},
we would have to study the related Green's function, which is given by the
 following expression for $M=m^4>0$, obtained by means of the Mathematica
 program developed in \cite{CaCiMa}:

\noindent If $0\leq s\leq t\leq 1$, then we have
\begin{align*}
&e^{-\sqrt{2} m (s+t-2)} \bigg(2 e^{\frac{m (s+t-4)}{\sqrt{2}}} \sin
 \big(\frac{m (s-t)}{\sqrt{2}}\big)-e^{\frac{m (3 s+t-2)}{\sqrt{2}}}
 \sin \big(\frac{m (s-t)}{\sqrt{2}}\big) \\
&+e^{\frac{m (s+3 t-6)}{\sqrt{2}}} \sin \big(\frac{m (s-t)}{\sqrt{2}}\big)
 -2 e^{\frac{m (3 s+3 t-4)}{\sqrt{2}}} \sin \big(\frac{m (s-t)}{\sqrt{2}}\big)\\
&+e^{\frac{m (3 s+t-4)}{\sqrt{2}}} \sin \big(\frac{m  (s-t+2)}{\sqrt{2}}\big)
 -e^{\frac{m (s+3 t-4)}{\sqrt{2}}} \sin \big(\frac{m  (s-t+2)}{\sqrt{2}}\big)\\
&+e^{\frac{m (s+t-4)}{\sqrt{2}}} \sin \big(\frac{m(s+t-2)}{\sqrt{2}}\big)
 -e^{\frac{m (3 s+3 t-4)}{\sqrt{2}}} \sin \big(\frac{m(s+t-2)}{\sqrt{2}}\big)\\
&+\left(-e^{\frac{m (s+t-2)}{\sqrt{2}}}+e^{\frac{3 m
 (s+t-2)}{\sqrt{2}}}+2 e^{\frac{m (3 s+t-4)}{\sqrt{2}}}-2 e^{\frac{m (s+3
 t-4)}{\sqrt{2}}}\right) \sin \big(\frac{m(s+t)}{\sqrt{2}}\big)\\
&+\left(e^{\frac{m (3 s+t-2)}{\sqrt{2}}}+e^{\frac{m (s+3 t-6)}{\sqrt{2}}}\right)
 \cos \big(\frac{m (s-t)}{\sqrt{2}}\big)-e^{\frac{m (3 s+3
 t-4)}{\sqrt{2}}} \cos \big(\frac{m(s+t-2)}{\sqrt{2}}\big)\\
&+\left(e^{\frac{m (3 s+t-4)}{\sqrt{2}}}+e^{\frac{m (s+3
 t-4)}{\sqrt{2}}}\right) \cos \big(\frac{m  (s-t+2)}{\sqrt{2}}\big) -e^{\frac{m
 (s+t-4)}{\sqrt{2}}} \cos \big(\frac{m(s+t-2)}{\sqrt{2}}\big)\\
&-e^{\frac{m
 (s+t-2)}{\sqrt{2}}} \left(e^{\sqrt{2} m (s+t-2)}+1\right) \cos \big(\frac{m(s+t)}{\sqrt{2}}\big)\bigg)\\
&\div \left( 4 \sqrt{2} m^3
 \left(\sin (\sqrt{2}m)+\sinh (\sqrt{2}m)\right)\right)
\end{align*}
If $0<t<s\leq 1$, then we have
 \begin{align*}
&e^{-\frac{m (3 s+t-6)}{\sqrt{2}}} \bigg(e^{2 \sqrt{2} m (s-1)}
 \sin \big(\frac{m(s-t-2)}{\sqrt{2}}\big)-e^{\sqrt{2} m (s+t-2)}
 \sin \big(\frac{m(s-t-2)}{\sqrt{2}}\big) \\
&+2 e^{\sqrt{2} m (s-2)} \sin \big(\frac{m (s-t)}{\sqrt{2}}\big)
 -e^{\sqrt{2} m (2 s-3)} \sin \big(\frac{m (s-t)}{\sqrt{2}}\big)
 +e^{\sqrt{2} m (s+t-1)} \\
&\times \sin \big(\frac{m (s-t)}{\sqrt{2}}\big)
-2 e^{\sqrt{2} m (2 s+t-2)} \sin \big(\frac{m (s-t)}{\sqrt{2}}\big)
 +e^{\sqrt{2} m (s-2)} \sin \big(\frac{m(s+t-2)}{\sqrt{2}}\big)\\
&-e^{\sqrt{2} m (2 s+t-2)} \sin \big(\frac{m(s+t-2)}{\sqrt{2}}\big)
 +\left(e^{\sqrt{2} m (s+t-2)}+e^{2 \sqrt{2} m (s-1)}\right) \\
&\times \cos \big(\frac{m(s-t-2)}{\sqrt{2}}\big)
 +\Big(-2 e^{\sqrt{2} m (s+t-2)}
 +e^{\sqrt{2} m (2 s+t-3)}  -e^{\sqrt{2} m (s-1)}\\
&+2 e^{2 \sqrt{2} m (s-1)}\Big) \sin \big(\frac{m(s+t)}{\sqrt{2}}\big)
 +\left(e^{\sqrt{2} m (s+t-1)}+e^{\sqrt{2} m (2 s-3)}\right)  \\
&\times \cos \big(\frac{m (s-t)}{\sqrt{2}}\big) -e^{\sqrt{2} m (2 s+t-2)}
 \cos \big(\frac{m(s+t-2)}{\sqrt{2}}\big) \\
&-\left(e^{\sqrt{2} m (2 s+t-3)}
 +e^{\sqrt{2} m (s-1)}\right) \cos \big(\frac{m(s+t)}{\sqrt{2}}\big)\\
&-e^{\sqrt{2} m (s-2)} \cos \big(\frac{m(s+t-2)}{\sqrt{2}}\big)\bigg)\\
&\div \left( 2 \sqrt{2} m^3 \left(e^{2 \sqrt{2} m}+2
 e^{\sqrt{2} m} \sin (\sqrt{2}m)-1\right)\right)\,.
\end{align*}
With this example we can see the applicability of Theorem \ref{T::IPN}  to characterize the Green's function constant sign.  The usefulness of the result increases in much more complicated
problems, where its expression may be inapproachable. Moreover, in some cases,
 for instance in problems with non constant coefficients, we cannot
even obtain its expression. So, Theorem \ref{T::IPN} is very useful
 because it allows us to see which is the sign of the related Green's
function without knowing its expression. We point out that to calculate
the corresponding eigenvalues is very simple in the constant coefficient
case and can be numerically approached in the non constant case.

Next, we see examples, where the applicability of Theorem \ref{T::IPN} is shown.

 In \cite{CabSaa}, there are studied the operators $T_n[M]$ in the spaces
$X_{\{0,\dots,k-1\}}^{\{0,\dots,n-k-1\}}$ under the hypothesis that there
exists $\bar M\in\mathbb{R}$ such that $T_n[\bar M] u(t)=0$ is a disconjugate
equation on $I$.

 In fact, it is proved there that in such a case $T_n[\bar M]$ satisfies
the property $(T_d)$. The result there obtained is a particular case of
Theorem \ref{T::IPN} when $\sigma_k=k-1$ and $\varepsilon_{n-k}=n-k-1$.
Moreover, since in such a case both $\sigma_k=k-1$ and
 $\varepsilon_{n-k}=n-k-1$, it is proved the correspondent to Theorem \ref{T::cv}.

In \cite{CabSaa}, there are several examples, some of them with operators
of non constant coefficients, such as
 \[
\bar T_4[M]u(t)=u^{(4)}(t)+e^{2t}u'(t)+Mu(t)\,,\quad t\in[0,1]\,,
\]
on $X_{\{0,1\}}^{\{0,1\}}$, $X_{\{0,1,2\}}^{\{0\}}$ and $X_{\{0\}}^{\{0,1,2\}}$.

In \cite{CabSaa2}, there is a particular type of fourth-order operators
\[
T_4(p_1,p_2)[M] u(t)=u^{(4)}(t)+p_1(t) u^{(3)}(t)+p_2(t) u^{(2)}(t)+M u(t)
\]
on $X_{\{0,2\}}^{\{0,2\}}$, under the hypothesis that the second-order
equation $u''(t)+p_1(t) u'(t)+p_2(t) u(t)=0$ is disconjugate on $I$.

This allows us to prove that the operator $T_4(p_1,p_2)[0]$ satisfies
property $(T_d)$ on $X_{\{0,2\}}^{\{0,2\}}$. Hence, the result there obtained
for the strongly inverse positive character is a particular case of
Theorem \ref{T::IPN}.

 In \cite{CabSaa2}, there are also  several examples of this type of operators
coupled with the well-known simply supported beam boundary conditions.
 Again, some of the examples have non-constant coefficients, such as
\[
\widehat T_4[M]u(t)=u^{(4)}(t)+2tu^{(3)}(t)+2u^{(2)}(t)+Mu(t)\,,\quad t\in[0,1]\,.
\]


 Before giving some results for this type of operator, we take into account
the following remarks:

 \begin{remark}\label{R::10} \rm
If we choose $\{\sigma_1,\dots,\sigma_k\}-\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$
 satisfying $(N_a)$, then the hypotheses of Theorem \ref{T::IPN}
are fulfilled for $\bar M=0$ for the operator $T_n^0[\bar M]$ by choosing
$v_1(t)=\cdots=v_n(t)=1$ for all $t\in I$.
 \end{remark}

 \begin{remark}\label{R::11} \rm
For this type of operators the behavior on
$X^{\{\sigma_1,\dots,\sigma_k\}}_{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
can be known by studying the behavior on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
This is so because  the eigenvalues are the same if $n$ is even or the
opposed if $n$ is odd.

Indeed, if $u$ is a nontrivial solution of $u^{(n)}(t)+M u(t)=0$ on
$X^{\{\sigma_1,\dots,\sigma_k\}}_{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
then $y(t)=u(1-t)$ is a solution of $u^{(n)}(t)+(-1)^n\,M u(t)=0$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 So, we do not need to study all the cases to obtain conclusions about
the strongly inverse positive (negative) character.
 \end{remark}

Next, we show different examples of this type of operators.
\smallskip

\noindent\textbf{Second order.}
The only possibility in second order is to consider $k=1$.
However, there are three options for the  choice of $\{\sigma_1\}-\{\varepsilon_1\}$.
First of them is $\sigma_1=\varepsilon_1=0$ which correspond to the Dirichlet
case, that is the boundary conditions $(1,1)$. This case has been considered
in \cite{CabSaa}, where it is obtained that the operator $T_2^0[M]$
is strongly inverse negative on $X_{\{0\}}^{\{0\}}$ if, and only if
$M\in(-\infty,\pi^2)$.
The other two choices correspond to the mixed boundary conditions and
are equivalent, $\sigma_1=0$ and $\varepsilon_1=1$ or $\sigma_1=1$ and
$\varepsilon_1=0$.

The largest negative eigenvalue of $T_2^0[0]$ on $X_{\{0\}}^{\{1\}}$ is
 $\lambda_1=-\frac{\pi^2}{4}$. So, using Theorem \ref{T::IPN}, we can
affirm that $T_2^0[M]$ is a strongly inverse negative operator on
$X_{\{0\}}^{\{1\}}$ or on $X_{\{1\}}^{\{0\}}$ if, and only if
 $M\in ( -\infty,\frac{\pi^2}{4})$.
Moreover, from Theorem \ref{T::cv}, we can conclude that there is no
 $M\in\mathbb{R}$ such that $T_2^0[M]$ is strongly inverse positive either
 on $X_{\{0\}}^{\{1\}}$ or $X_{\{1\}}^{\{0\}}$.
\smallskip

\noindent\textbf{Third order.}
 In this case the number of possible cases increases to twelve, which
can be reduced to six. The cases $\{\sigma_1,\sigma_2\}=\{0,1\}$,
$\{\varepsilon_1\}=\{0\}$ and $\{\sigma_1\}=\{0\}$,
$\{\varepsilon_1,\varepsilon_2\}=\{0,1\}$ have been considered in \cite{CabSaa}.
Let us see some of the rest.

 First, let us consider $\{\sigma_1,\sigma_2\}=\{1,2\}$ and
$\{\varepsilon_1\}=\{0\}$.
The largest negative eigenvalue of $T_3^0[0]$ on $X_{\{1,2\}}^{\{0\}}$ is
 $\lambda_1=-m_4^3$, where $m_4\approxeq 1.85$ is the least positive solution of
 \begin{equation}\label{Ec::m4}
 e^{-m}+2\,e^{m/2}\,\cos\big(\frac{\sqrt{3}}{2}m\big) =0\,.
 \end{equation}

To apply Theorem \ref{T::IPN}, we need to obtain the least positive
eigenvalue of $T_3^0[0]$ on $X_{\{1\}}^{\{0,1\}}$, which is
$\lambda_2=m_5^3$, where $m_5\approxeq 3.017$ is the least positive solution of
 \begin{equation}
 \label{Ec::m5}
 e^{-m}-e^{m/2}\Big(\cos\big(\frac{\sqrt{3}}{2}m\big)
+\sqrt{3}\sin\big(\frac{\sqrt{3}}{2}m\big) \Big) =0\,.
 \end{equation}
Since, $k=2=n-1$, we can apply Theorem \ref{T::IPN} to affirm
that $T_3^0[M]$ is strongly inverse negative on $X_{\{1,2\}}^{\{0\}}$
if and only if $M\in [-m_5^3,m_4^3)\approxeq[-3.017^3,1.85^3)$.

From Theorem \ref{T::cv}, we can conclude that there is no $M\in\mathbb{R}$
such that $T_3^0[M]$ is strongly inverse positive on $X_{\{1,2\}}^{\{0\}}$.
Now, from Remark \ref{R::11}, we can affirm that $T_3^0[M]$ is strongly
inverse positive in $X^{\{1,2\}}_{\{0\}}$ if and only
if $M\in (-m_4^3,m_5^3]\approxeq(-1.85^3,3.017^3]$.
 Moreover, we can conclude that there is no $M\in\mathbb{R}$ such that
$T_3^0[M]$ is strongly inverse negative in $X^{\{1,2\}}_{\{0\}}$.

 Now, let us consider $\{\sigma_1,\sigma_2\}=\{0,2\}$ and $\{\varepsilon_1\}=\{1\}$.
The largest negative eigenvalue of $T_3^0[0]$ on $X_{\{0,2\}}^{\{1\}}$ is
$\lambda_1=-m_4^3$, where $m_4$ has been defined as the least positive
solution of \eqref{Ec::m4}.
Moreover, the least positive eigenvalue on $X_{\{0\}}^{\{0,1\}}$ is
 $\lambda_2=m_6^3$, where $m_6\approxeq 4.223$ is the least positive solution of
 \begin{equation}
 \label{Ec::m6}
 e^{-m}-e^{m/2}\Big(\cos\big(\frac{\sqrt{3}}{2}m\big)
-\sqrt{3}\sin\big(\frac{\sqrt{3}}{2}m\big) \Big) =0\,.
 \end{equation}
Thus, from Theorem \ref{T::IPN}, we conclude that $T_3^0[M]$ is strongly
inverse negative on $X_{\{0,2\}}^{\{1\}}$ if and only if
$M\in[-m_6^3,m_4^3)\approxeq[-4.223^3,1.85^3)$.
We note that in this case $\sigma_2=2>1$ and $\varepsilon_1=1>0$, thus we
cannot apply Theorem \ref{T::cv} to obtain conclusions about the strongly
inverse positive character of $T_3^0[M]$ on $X_{\{0,2\}}^{\{1\}}$.
However, from Remark \ref{R::11}, we can affirm that $T_3^0[M]$ is
strongly inverse positive on $X_{\{1\}}^{\{0,2\}}$ if and only if
$M\in(-m_4^3,m_6^3]\approxeq(-1.85^3,4.223^3]$.
\smallskip

\noindent\textbf{Fourth order.}
 There are forty possibilities, which can be decreased, by using Remark
\ref{R::11}, to twenty one. There are three possibilities which have been
studied in \cite{CabSaa}, they are represented on the sets
 $X_{\{0,1,2\}}^{\{0\}}$, $X_{\{0\}}^{\{0,1,2\}}$ and $X_{\{0,1\}}^{\{0,1\}}$.
The characterization on $X_{\{0,2\}}^{\{0,2\}}$ has been obtained in
\cite{CabSaa2}. Moreover, along the paper we have studied the case
$X_{\{0,2\}}^{\{1,2\}}$. From Remark \ref{R::11}, the obtained characterization
remains valid for the set $X_{\{1,2\}}^{\{0,2\}}$.

Next we see a pair of different cases. For instance,
 $X_{\{1,2,3\}}^{\{0\}}$ (which also gives the characterization on
$X_{\{0\}}^{\{1,2,3\}}$) and $X_{\{1,3\}}^{\{0,2\}}$ ($X_{\{0,2\}}^{\{1,3\}}$).

 Let us work on the space $X_{\{1,2,3\}}^{\{0\}}$.
First, we obtain the necessary eigenvalues in order to apply Theorem
\ref{T::IPN} to this case:
The largest negative eigenvalue of $T_4^0[0]$ on $X_{\{1,2,3\}}^{\{0\}}$
is $\lambda_1=-\pi^4/4$.
The least positive eigenvalue of $T_4^0[0]$ on $X_{\{1,2\}}^{\{0,1\}}$
is $\lambda_2=\pi^4$.
Then, $T_4^0[M]$ is strongly inverse negative on $X_{\{1,2,3\}}^{\{0\}}$
if and only if $M\in[-\pi^4,\frac{\pi^4}{4})$.
Since $\varepsilon_1=0 $, we can apply Theorem \ref{T::cv} to conclude
that there is no $M\in\mathbb{R}$ such that $T_4^0[M]$ is strongly
inverse positive on $X_{\{1,2,3\}}^{\{0\}}$.

 Concerning to the space $X_{\{0,2\}}^{\{1,3\}}$, we have the following eigenvalues:
The least positive eigenvalue of $T_4^0[0]$ on $X_{\{0,2\}}^{\{1,3\}}$ is
$\lambda_1=\pi^4/16$.
The largest negative eigenvalue of $T_4^0[0]$ on $X_{\{0,1,2\}}^{\{1\}}$ is
$\lambda_2'=-4\pi^4$.
The largest negative eigenvalue of $T_4^0[0]$ on $X_{\{0\}}^{\{0,1,3\}}$
is $\lambda_2''=-4\pi^4$.
So, $\lambda_2=\max\{-4\pi^4,-4\pi^4\}=-4\pi^4$.
Hence, we conclude, from Theorem \ref{T::IPN}, that $T_4^0[M]$ is strongly
inverse positive on $X_{\{0,2\}}^{\{1,3\}}$ if and only if
$M\in ( -\pi^4/16,4\pi^4] $.
Since $\sigma_2=2>1$ and $\varepsilon_2=3>1$, we cannot apply
Theorem \ref{T::cv} to affirm that it cannot be strongly inverse negative
for any $M\in\mathbb{R}$.
\smallskip

\noindent\textbf{Higher order.}
 If we increase the order of the problem, because the related Green's function
gets more complex, the usefulness of Theorem \ref{T::IPN} also increases.
Even if we cannot obtain the eigenvalues analytically, we can obtain them
numerically, using different methods.

Let us show an example of sixth order, where we can obtain the eigenvalues
analytically.
The largest negative eigenvalue of $T_6^0[0]$ on $X_{\{0,2,4\}}^{\{0,2,4\}}$
is $\lambda_1=-\pi^6$.
The least positive eigenvalue of $T_6^0[0]$ on $X_{\{0,1,2,4\}}^{\{0,2\}}$
and $X_{\{0,2\}}^{\{0,1,2,4\}}$ is $\lambda_2=\lambda_2'=\lambda_2''=m_7^6$,
where $m_7\approxeq5.47916$ is the least positive solution of
 \[
\cos \big(\sqrt{3} m\big)-\cosh (m)
+8 \cos \big(\frac{\sqrt{3} m}{2}\big) \sinh
 ^2\big(\frac{m}{2}\big) \cosh \big(\frac{m}{2}\big)=0\,.
\]
Hence, from Theorem \ref{T::IPN}, we conclude that $T_6^0[M]$ is a
strongly inverse negative operator on $X_{\{0,2,4\}}^{\{0,2,4\}}$
if and only if $M\in [-m_7^7,\pi^6)\approxeq[-5.47916^6,\pi^6)$.
Since $\sigma_3=4>2$ and $\varepsilon_3=4>2$, we cannot apply
Theorem \ref{T::cv} to obtain any conclusion about the strongly
inverse positive character.

Now we consider the operator
\[
 T_4^N[M]u(t)=u^{(4)}(t)+N u'(t)+M u(t)\quad \text{on }X_{\{0,2\}}^{\{1,2\}}.
\]
When $N=n^3$.  the fourth order operator is
$T_4^{n^3}[M] u(t)=u^{(4)}(t)+n^3 u'(t)+M u(t)$ on
$X_{\{0,2\}}^{\{1,2\}}$.
Note that for $n=0$ this operator coincides with the example that we
have been considering in the different examples in this article.

 Let us see that for
$n\in(-\frac{4\pi}{3\sqrt{3}},\frac{2\pi}{3\sqrt{3}}) $,
$T_4^{n^3}[0]$ satisfies property $(T_d)$ on $X_{\{0,2\}}^{\{1,2\}}$.
To show that, we consider the  fundamental system of solutions
\begin{gather*}
 y_1^n(t)=1\,,\quad
 y_2^n(t)=\sqrt{3}\,e^{nt/2}\,\cos\big(\frac{\sqrt{3}}{2}n\,t\big)
  +e^{nt/2}\sin \big(\frac{\sqrt{3}}{2}n\,t\big) \,,\\
 y_3^n(t) =e^{nt/2}\sin \big(\frac{\sqrt{3}}{2}n\,t\big)\,,\quad
 y_4^n(t)=e^{-nt}\,,
\end{gather*}
 and the correspondent Wronskians:
\begin{gather*}
 W_1^n(t)=1\,,\quad
 W_2^n(t)=\frac{1}{2}\,e^{nt/2}\,n^2
\Big( \cos \big(\frac{\sqrt{3}}{2}n\,t\big)-\sin \big(\frac{\sqrt{3}}{2}n\,t\big)
 \Big) \,,\\
 W_3^n(t)=\frac{3}{2}\,n^3\,e^{n\,t}\,,\quad
 W_4^n(t)=-\frac{9\,n^6}{2}\,.
 \end{gather*}

If, $n\neq 0$, then $W_1^n$, $W_3^n$ and $W_4^n$ are non null in $[0,1]$.
Moreover, it can be seen that if
$n\in( -\frac{4\pi}{3\sqrt{3}},\frac{2\pi}{3\sqrt{3}})$, then
$W_2^n(t)\neq 0$ for all $t\in[0,1]$. So, we can obtain the representation
given in \eqref{Ec::Td1}-\eqref{Ec::Td2}.

 We construct $v_1,\dots,v_4$ following the proof of Theorem \ref{T::3}
(\cite[Theorem 2, Chapter 3]{Cop}):
\begin{gather*}
 v_1^n(t)=1\,,\quad
 v_2^n(t)=W_2^n(t)=\frac{1}{2}\,e^{nt/2}\,n^2
\Big( \cos \big(\frac{\sqrt{3}}{2}n\,t\big)
 -\sin \big(\frac{\sqrt{3}}{2}n\,t\big)\Big) \,,\\
 v_3^n(t)=\frac{W_3^n(t)}{{W_2^n}^2(t)}\,,\quad
 v_4^n(t)=\frac{W_2^n(t) W_4^n(t)}{{W_3^n}^2(t)}\,.
 \end{gather*}

 In Example \ref{Ex::3}, we have proved that a fourth-order operator
satisfies property $(T_d)$ on $X_{\{0,2\}}^{\{1,2\}}$ if and only
if there exists the decomposition \eqref{Ec::Td1}-\eqref{Ec::Td2}
and \eqref{Ec::Ex31}-\eqref{Ec::Ex32} are fulfilled.
Let us check it. Obviously, \eqref{Ec::Ex32} is satisfied.
Now, since ${v_1^n}'(0)=0$ and $v_2^n(0)\neq0$, we have to verify that
${v_2^n}'(0)=0$. But, from the fact that
 \[
{v_2^n}'(t)=-2\,e^{nt/2}\sin \big(\frac{\sqrt{3}}{2}n\,t\big) \,,
\]
 we deduce that it is trivially satisfied that ${v_2^n}'(0)=0$.
So, as a consequence, \eqref{Ec::Ex31} is fulfilled and we conclude
that if $n\in( -\frac{4\pi}{3\sqrt{3}},\frac{2\pi}{3\sqrt{3}}) $,
then $T_4^{n^3}[0]$ satisfies the property $(T_d)$ on $X_{\{0,2\}}^{\{1,2\}}$.

 \begin{remark} \rm
The interval $( -\frac{4\pi}{3\sqrt{3}},\frac{2\pi}{3\sqrt{3}})$
is not necessarily optimal.
If we study the disconjugacy set of $T_4^{n^3}[0] u(t)=0$ on $[0,1]$,
we obtain that such equation is disconjugate if and only if $n\in(-n_1,n_1)$,
 where $n_1\approxeq5.55$ is the least positive solution of
 \[
-3+e^{-n}+2^{n/2}\,\cos\big(\frac{\sqrt{3}\,n}{2}\big) =0\,.
\]
Then, it is possible that we may find different values of $n\in(-n_1,n_1)$
 such that $T_4^{n^3}[0]$ satisfies property $(T_d)$ on
$X_{\{0,2\}}^{\{1,2\}}$ with a suitable choice of the fundamental system
of solutions.

 For instance, repeating the previous arguments for the
 fundamental system of solutions
\begin{gather*}
 y_1^n(t)=1\,,\quad
 y_2^n(t)=\frac{2}{\sqrt{3}}\,e^{nt/2}\sin\big(\frac{\sqrt{3}}{2}n\,t\big)
-e^{-nt}\,,\\
 y_3^n(t)=e^{-nt}\,,\quad
 y_4^n(t) =e^{nt/2}\sin \big(\frac{\sqrt{3}}{2}n\,t\big)\,,
\end{gather*}
 we obtain a decomposition to ensure that $T_4^{n^3}[0]$ verify property
$(T_d)$ for $n\in( -\frac{\pi}{\sqrt{3}},\frac{\pi}{\sqrt{3}})$.
Thus, we can say that for
\[n\in\big( -\frac{4\pi}{3\sqrt{3}},\frac{2\pi}{3\sqrt{3}}\big)
\cup \big( -\frac{\pi}{\sqrt{3}},\frac{\pi}{\sqrt{3}}\big)
=\big( -\frac{4\pi}{3\sqrt{3}},\frac{\pi}{\sqrt{3}}\big)\subset(-n_1,n_1),\]
then $T_4^{n^3}[0]$ satisfies property $(T_d)$.
However, we cannot even affirm that such an interval is the optimal one.
 \end{remark}


 Let us choose, for instance,
$n=-\frac{\pi}{\sqrt{3}}\in( -\frac{4\pi}{3\sqrt{3}},\frac{\pi}{\sqrt{3}})
\subset(-n_1,n_1)$ and we obtain the different eigenvalues numerically,
 by using Mathematica.

The least positive eigenvalue of $T_4^{-\frac{\pi^3}{3\sqrt{3}}}[0]$
on $X_{\{0,2\}}^{\{1,2\}}$ is $\lambda_1\approxeq2.21152^4$.
The largest negative eigenvalue of $T_4^{-\frac{\pi^3}{3\sqrt{3}}}[0]$
on $X_{\{0,1,2\}}^{\{1\}}$ is $\lambda_2'\approxeq-4.53073^4$.
The largest negative eigenvalue of $T_4^{-\frac{\pi^3}{3\sqrt{3}}}[0]$ on
$X_{\{0\}}^{\{0,1,2\}}$ is $\lambda_2''\approxeq-5.5014^4$.
So, $\lambda_2=\max\{\lambda_2',\lambda_2''\}=\lambda_2'\approxeq -4.53073^4$.
From Theorem \ref{T::IPN}, we conclude that $T_4^{-\frac{\pi^3}{3\sqrt{3}}}[M]$
is strongly inverse positive on $X_{\{0,2\}}^{\{1,2\}}$ if and only if
$M\in(-\lambda_1,-\lambda_2]\approxeq(-2.21152^4,4.53073^4]$.
Since $\sigma_2=\varepsilon_2=2>1$, we cannot obtain any conclusion
about the strongly inverse positive character from Theorem \ref{T::cv}.

 \section{Necessary condition for the strongly inverse negative (positive)
character of $T_n[M]$ on
 $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$}
\label{chapt8}

In the previous section we have obtained a characterization of the
parameter's set where the operator $T_n[M]$ is either strongly inverse
 positive or negative on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$ if $n-k$ is even or odd, respectively.

In some cases, we can ensure that if $n-k$ is even, then there is no
$M\in\mathbb{R}$ such that $T_n[M]$ is strongly inverse negative on
 $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
and if $n-k$ is odd, then there is no $M\in\mathbb{R}$ such that $T_n[M]$
is strongly inverse positive on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$. However, on the cases which do not fulfill
the hypotheses of Theorem \ref{T::cv}, we have not said anything about the
 strongly inverse negative character if $n-k$ is even or about the strongly
inverse positive character if $n-k$ is odd.

From Theorems \ref{T::6} and \ref{T::8}, if $n-k$ is even and there exists
$\bar M\in\mathbb{R}$ such that $T_n[\bar M]$ is strongly inverse negative
on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
then the parameter's set, for which such a property is fulfilled, is given by
an interval whose supremum is given by $\bar M-\lambda_1$.
Moreover, from Theorems \ref{T::7} and \ref{T::9}, if $n-k$ is odd and there
exists $\bar M\in\mathbb{R}$ such that $T_n[\bar M]$ is strongly inverse
positive on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$, then the parameter's set, for which such a property is
fulfilled, is given by an interval whose infimum is given by $\bar M-\lambda_1$.

 This section is devoted to obtain a bound of the other extreme of the interval.
 Furthermore, we will see that, in such an interval, the Green's function
satisfies a suitable property which allows to prove that the obtained
interval is optimal if we prove that the Green's function cannot have any
zero on $(a,b)\times (a,b)$.

 \begin{theorem}\label{T::IPN1}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
$(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and ${\{\sigma_1,\dots,\sigma_k\}}-{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$ fulfill $(N_a)$. Then, the following properties
are satisfied:
 \begin{itemize}
 \item If $n-k$ is even and $T_n[M]$ is inverse negative on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
then $M\in[\bar M-\lambda_3,\bar M-\lambda_1)$, where
 \begin{itemize}
 \item [*] $\lambda_1>0$ is the least positive eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item [*] $\lambda_3>0$ is the minimum between:
 \begin{itemize}
 \item [$\cdot$] $\lambda_3'>0$, the least positive eigenvalue of $T_n[\bar M]$
on $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
 \item [$\cdot$] $\lambda_3''>0$ is the least positive eigenvalue of $T_n[\bar M]$
on the set $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.
 \end{itemize}
 \end{itemize}
 \item If $n-k$ is odd and $T_n[M]$ is inverse positive on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
then $M\in(\bar M-\lambda_1,\bar M-\lambda_3]$, where
 \begin{itemize}
 \item [*] $\lambda_1<0$ is the largest negative eigenvalue of $T_n[\bar M]$ on
 $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item [*] $\lambda_3<0$ is the maximum between:
 \begin{itemize}
 \item[$\cdot$] $\lambda_3'<0$, the largest negative eigenvalue of $T_n[\bar M]$ on
 the set $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}\}}$.
 \item [$\cdot$]$\lambda_3''<0$ is the largest negative eigenvalue of $T_n[\bar M]$
on the set   $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k-1}|\beta\}}$.
 \end{itemize}
 \end{itemize}
 \end{itemize}
 \end{theorem}

 \begin{proof}
 From Theorem \ref{T::cv}, we can affirm that $\sigma_k\neq k-1$ and
$\varepsilon_{n-k}\neq n-k-1$. Hence, by Corollary \ref{C::1} the
 existence of $\lambda_3'$ and $\lambda_3''$ is ensured.

 First, let us focus on the case where $n-k$ is even.
Let us assume that there exists $M^*\notin [\bar M-\lambda_3, \bar M-\lambda_1)$,
such that $T_n[M^*]$ is inverse negative on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
From Theorem \ref{T::6}, we know that $M^*<\bar M-\lambda_3$.
Moreover, using Theorem \ref{T::8}, we can affirm that for all
$M\in[M^*,\bar M-\lambda_1)$ the operator $T_n[M]$ is inverse negative on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
and, by Theorem \ref{T::d1}, that
$0\geq g_{M^*}(t,s)\geq g_M(t,s)\geq g_{\bar M-\lambda_3}(t,s)$.
So, in particular
\[
0\geq w_{M^*}(t)\geq w_M(t)\geq w_{\bar M-\lambda_3}(t)\,,
\]
and
\begin{gather*}
0\geq y_{M^*}(t)\geq y_M(t)\geq y_{\bar M-\lambda_ 3}(t)\,,\quad
\text{if } \gamma \text{ is even,}\\
 0\leq y_{M^*}(t)\leq y_M(t)\leq y_{\bar M-\lambda_ 3}(t)\,, \quad
\text{if } \gamma \text{ is odd.}
\end{gather*}

 If $\lambda_3=\lambda_3'$, then $w_{\bar M-\lambda_3}^{(\alpha)}(a)=0$.
So, we conclude that, for all $M\in[M^*,\bar M-\lambda_3)$, $w_M^{(\alpha)}(a)=0$,
which contradicts the discrete character of the spectrum of
$T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$.

If $\lambda_3=\lambda_3''$, then $y_{\bar M-\lambda_3}^{(\beta)}(b)=0$.
So, we conclude that, for all $M\in[M^*,\bar M-\lambda_3)$, $y_M^{(\beta)}(b)=0$,
 which contradicts the discrete character of the spectrum of $T_n[\bar M]$ on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.

Analogously, if $n-k$ is odd and we assume that there exists
$M^*\notin (\bar M-\lambda_1, \bar M-\lambda_3]$, such that $T_n[M^*]$
is inverse positive on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$. From Theorem \ref{T::7}, we know that
 $M^*>\bar M-\lambda_3$.

Using Theorem \ref{T::9}, we can affirm that for all
$M\in(\bar M-\lambda_1,M^*]$ $T_n[M]$ is inverse positive on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
and, by Theorem \ref{T::d1}, that $ g_{\bar M-\lambda_3}(t,s)\geq g_M(t,s)
\geq g_{M^*}(t,s)\geq 0$.
So, in particular
\[
w_{\bar M-\lambda_3}(t) \geq w_M(t)\geq w_{M^*}(t)\geq 0\,,
\]
 and
\begin{gather*}
y_{\bar M-\lambda 3}(t) \geq y_M(t)\geq y_{M^*}(t)\geq 0\,,\quad
\text{if } \gamma \text{ is even,}\\
 y_{\bar M-\lambda 3}(t)\leq y_M(t)\leq y_{M^*}(t)\leq 0\,,\quad
 \text{if } \gamma \text{ is odd.}
 \end{gather*}


If $\lambda_3=\lambda_3'$, then $w_{\bar M-\lambda_3}^{(\alpha)}(a)=0$.
So, we conclude that, for all $M\in(\bar M-\lambda_3, M^*]$,
$w_M^{(\alpha)}(a)=0$, which contradicts the discrete character of the
spectrum of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,
\sigma_{k-1}|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 If $\lambda_3=\lambda_3''$, then $y_{\bar M-\lambda_3}^{(\beta)}(b)=0$.
So, we conclude that, for all $M\in(\bar M-\lambda_3,M^*]$, $y_M^{(\beta)}(b)=0$,
 which contradicts the discrete character of the spectrum of $T_n[\bar M]$
on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k-1}|\beta\}}$.

 In all cases we arrive to a contradiction, thus the result is proved.
 \end{proof}

 \begin{example}  \label{Ex::13} \rm
 Now, let us focus again on our recurrent example
$T_4^0[M] u(t)=u^{(4)}(t)+M u(t)$.
In Example \ref{Ex::6}, the different eigenvalues of $T_4^0[0]$ on the
sets $X_{\{0,2\}}^{\{1,2\}}$, $X_{\{0,1\}}^{\{1,2\}}$ and
$X_{\{0,2\}}^{\{0,1\}}$ are obtained. In particular, $\lambda_1=m_1^4$ and
 \[\lambda_3=\min\{m_3^4,\pi^4\}=\pi^4\,,\]
 where $m_1\approxeq 2.36502$ and $m_3\approxeq 3.9266$ have been
introduced in Example \ref{Ex::6} as the least positive solutions
of \eqref{Ec::Ex61} and \eqref{Ec::Ex63}, respectively.
So, using Theorem \ref{T::IPN1}, we can affirm that if $T_4^0[M]$ is
strongly inverse negative on $X_{\{0,2\}}^{\{1,2\}}$, then $M\in[-\pi^4,-m_1^4)$.
 \end{example}

 In Theorem \ref{T::IPN1}, we have established a necessary condition on
operator $T_n[M]$ to be either inverse positive or inverse negative on
$X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
Next result shows that this condition also ensures that the related Green's
function satisfies a suitable condition on the boundary of $I\times I$.

 \begin{theorem}\label{T::IPN2}
 Let $\bar M\in \mathbb{R}$ be such that $T_n[\bar M]$ satisfies property
 $(T_d)$ on the set $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ and ${\{\sigma_1,\dots,\sigma_k\}}
-{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ fulfill $(N_a)$.
Moreover, $\sigma_k\neq k-1$ and $\varepsilon_{n-k}\neq n-k-1$. Then,
the following properties are satisfied:
\begin{itemize}
 \item If $n-k$ is even and $M\in[\bar M-\lambda_3,\bar M-\lambda_1)$,
where $\lambda_1$ and $\lambda_3$ are given in Theorem \ref{T::IPN1}.
 Then:
 for each $t\in (a,b)$ there exists $\rho_1(t)>0$ such that
\[
g_M(t,s)<0\quad\forall s\in (a,a+\rho_1(t))\cup (b-\rho_1(t),b)\,,
\]
 and
 for each $s\in (a,b)$ there exists $\rho_2(s)>0$ such that
\[
 g_M(t,s)<0\quad  \forall t\in (a,a+\rho_2(s))\cup (b-\rho_2(s),b)\,.
\]

 \item If $n-k$ is odd and $M\in(\bar M-\lambda_1,\bar M-\lambda_3]$,
 where $\lambda_1$ and $\lambda_3$ are given in Theorem \ref{T::IPN1}.
 Then:
 for each $t\in (a,b)$ there exists $\rho_1(t)>0$ such that
\[
g_M(t,s)>0\quad  \forall s\in (a,a+\rho_1(t))\cup (b-\rho_1(t),b)\,,
\]
 and for each $s\in (a,b)$, there exists $\rho_2(s)>0$ such that \[
g_M(t,s)>0\quad  \forall t\in (a,a+\rho_2(s))\cup (b-\rho_2(s),b)\,.
\]
 \end{itemize}
 \end{theorem}

 \begin{proof}
To prove this result we consider the following functions introduced in
 the proof of Theorem \ref{T::IPN}:
 \begin{gather*}
 w_M(t)=\frac{\partial^{\eta}}{\partial s^\eta}g_M(t,s)\big|_{s=a}\,,\\
 y_M(t)=\frac{\partial^{\gamma}}{\partial s^\gamma}g_M(t,s)\big|_{s=b}\,,\\
 \widehat{w}_M(t)=(-1)^n\frac{\partial^{\alpha}}{\partial s^\alpha}
\widehat g_M(t,s)\big|_{t=a}\,, \\
 \widehat y _M(s)=(-1)^n\frac{\partial^{\beta}}{\partial s^\beta}
\widehat g_M(t,s)\big|_{t=b}\,.
\end{gather*}
For these functions we  obtained the following conclusions:
 \begin{itemize}
 \item $T_n[M]\,w_M(t)=0$ for all $t\in(a,b]$ and $w_M$ satisfies  boundary
conditions \eqref{Ec::cfaa}-\eqref{Ec::cfbb}.
 \item $T_n[M]\,y_M(t)=0$ for all $t\in[a,b)$ and $y_M$ satisfies  boundary
conditions \eqref{Ec::cfaaa}-\eqref{Ec::cfbbb}.
 \item $\widehat T_n[(-1)^n M]\,\widehat w_M(s)=0$ for all $s\in(a,b]$ and
$\widehat w_M$ satisfies  boundary conditions \eqref{Cf::ad1}--\eqref{Cf::ad11}
and \eqref{Cf::ad3}--\eqref{Cf::ad4}.
 \item $\widehat T_n[(-1)^n M]\,\widehat y_M(s)=0$ for all $s\in[a,b)$ and
$\widehat y_M$ satisfies  boundary conditions \eqref{Cf::ad1}--\eqref{Cf::ad2}
and \eqref{Cf::ad3}--\eqref{Cf::ad31}.
 \end{itemize}
Thus, by applying Propositions \ref{P::1}, \ref{P::2}, \ref{P::5} and \ref{P::6},
we know that $w_M$, $y_M$, $\widehat{w}_M$ and $\widehat y_M$ do not have
any zero in $(a,b)$ for all $M\in[\bar M-\lambda_3,\bar M-\lambda_1)$ if $n-k$
is even and for all $M\in(\bar M-\lambda_1,\bar M-\lambda_3]$ when $n-k$ is odd.

 Moreover, by Proposition \ref{P::6.5}, since we do not reach any eigenvalue
of $T_n[\bar M]$ on $X_{\{\sigma_1,\dots,\sigma_{k}\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$, we have that the related Green's function is
well-defined for every $M$ in those intervals. So, since we are moving
continuously on $M$, we conclude that its sign is the same in all the interval.

 Let us, now, study the sign of these functions at a given $M$.
We consider $w_M$ and $\widehat w_M$ at $M=\bar M-\lambda_3'$ and $y_M$ and
$\widehat y_M$ at $M=\bar M-\lambda_3''$. As we have proved before, at
this values of the real parameter the functions are of constant sign
and satisfy the maximal oscillation, which means that verify the conditions
at $t=a$ and $t=b$ to give the maximum number of zeros with the related
boundary conditions, otherwise the function would be equivalent to zero
 and this is not true. Moreover, we know that they satisfy for all
$M\in \mathbb{R}$ the following properties:
\begin{gather}
 \label{Cf::wm} w_M^{(\sigma_k)}(a)=(-1)^{(n-1-\sigma_k)}\,,\\
 \label{Cf::ym} y_M^{(\varepsilon_{n-k})}(b)=(-1)^{(n-\varepsilon_{n-k})}\,,\\
 \label{Cf::wmg} \widehat w_M^{(\tau_{n-k})}(a)+\sum_{j=n-\tau_{n-k}}^{n-1}
(-1)^{n-j}(p_{n-j}\widehat w_M)^{(\tau_{n-k}+j-n)}(a)=(-1)^{1+\tau_{n-k}}\,,\\
 \label{Cf::ymg} \widehat y_M^{(\delta_{k})}(b)
+\sum_{j=n-\delta_{k}}^{n-1}(-1)^{n-j}(p_{n-j}\widehat y_M)^{(\delta_{k}+j-n)}(b)
=(-1)^{\delta_{k}}\,.
 \end{gather}


$\bullet$ Study of $w_{\bar M-\lambda_3'}$.
 Let us consider $\alpha_1\in \{0,\dots,n-1\}$, previously introduced in
Notation \ref{Not::alpha1}.

 Let us study the sign of $w_{\bar M-\lambda_3'}^{(\alpha_1)}(a)$  to
obtain the sign of $w_{\bar M-\lambda_3'}$.
From Lemma \ref{L::1}, coupled with \eqref{Cf::wm}, we conclude that
 \[
T_{\sigma_k}w_{\bar M-\lambda_3'}(a)
\begin{cases}>0\,,& \text{if $n-\sigma_k$ is odd,}\\
<0\,,& \text{if $n-\sigma_k$ is even.}
\end{cases}
\]
As we  said before, to allow the maximal oscillation,
$T_{n-\ell}w_{\bar M-\lambda_3'}$ must change its sign each time that
it is different from zero. Thus, since from $\alpha_1$ to $\sigma_k$ we have
$k-\alpha_1$ zeros, with maximal oscillation the following inequalities are
fulfilled:

If $n-\sigma_k$ is odd:
 \[
T_{\alpha_1}\,w_{\bar M-\lambda_3'}(a) \begin{cases}
>0\,,& \text{if $\sigma_k-\alpha_1-(k-\alpha_1)=\sigma_k-k$ is even,}\\
<0\,,& \text{if $\sigma_k-k$ is odd.}
\end{cases}
\]
If $n-\sigma_k$ is even:
 \[
T_{\alpha_1}\,w_{\bar M-\lambda_3'}(a) \begin{cases}
<0\,,& \text{if $\sigma_k-k$ is even,}\\
>0\,,& \text{if $\sigma_k-k$ is odd.}
\end{cases}
\]
From \eqref{Ec::Tl}, we conclude that
 \[
T_{\alpha_1}\,w_{\bar M-\lambda_3'}(a)=\frac{1}{v_1(a)\dots v_{\alpha_1}(a)}
w_{\bar M-\lambda_3'}^{(\alpha_1)}(a)\,,
\]
 hence, we can affirm that
 \[
w_{\bar M-\lambda_3'}^{(\alpha_1)}(a) \begin{cases}
>0\,,& \text{if $n-k$ is odd,}\\
<0\,,& \text{if $n-k$ is even.}
\end{cases}
\]
Thus, we have proved that
 \begin{itemize}
 \item If $n-k$ is even and $M\in[\bar M-\lambda_3',\bar M-\lambda_1)$, then
 for each $t\in (a,b)$ there exists ${\rho_1}_1(t)>0$ such that
\[
g_M(t,s)<0\quad \forall s\in (a,a+{\rho_1}_1(t))\,.
\]
 \item If $n-k$ is odd and $M\in(\bar M-\lambda_1,\bar M-\lambda_3']$, then
 for each $t\in (a,b)$ there exists ${\rho_1}_1(t)>0$ such that
\[
g_M(t,s)>0\quad  \forall s\in (a,a+{\rho_1}_1(t))\,.
\]
 \end{itemize}


$\bullet$ Study of $y_{\bar M-\lambda_3''}$.
 Now, let us consider $\beta_1\in\{0,\dots,n-1\}$, introduced in Notation
 \ref{Not::alpha1}.
To obtain the sign of $y_{\bar M-\lambda_3''}$, let us study the sign
of $y_{\bar M-\lambda_3''}^{(\beta_1)}(b)$.

From Lemma \ref{L::2} coupled with \eqref{Cf::ym}, we conclude that
 \[
T_{\varepsilon_{n-k}} y_{\bar M-\lambda_3''}(b)\begin{cases}
>0\,,& \text{if $n-\varepsilon_{n-k}$ is even,}\\
<0\,,& \text{if $n-\varepsilon_{n-k}$ is odd.}
\end{cases}
\]
In this case, as we  said on the proof of Theorem \ref{L::5}, to allow the
maximal oscillation, $T_{n-\ell}w_{\bar M-\lambda_3'}(b)$ must change its
 sign each time that it vanishes. Thus, since from $\beta_1$ to
 $\varepsilon_{n-k}$ we have, with maximal oscillation, $n-k-\beta_1$ zeros,
we deduce de following properties:

If $n-\varepsilon_{n-k}$ is even:
\[
T_{\beta_1}\,y_{\bar M-\lambda_3''}(b)\begin{cases}
>0\,,& \text{if $n-k-\beta_1$ is even,}\\
<0\,,& \text{if $n-k-\beta_1$ is odd.}
\end{cases}
\]
If $n-\varepsilon_{n-k}$ is odd:
\[T_{\beta_1}\,y_{\bar M-\lambda_3''}(b) \begin{cases}
<0\,,& \text{if $n-k-\beta_1$ is even,}\\
>0\,,& \text{if $n-k-\beta_1$ is odd.}
\end{cases}
\]
From \eqref{Ec::Tl}, we conclude that
 \[
T_{\beta_1}\,y_{\bar M-\lambda_3''}(b)
=\frac{1}{v_1(b)\dots v_{\beta_1}(b)}y_{\bar M-\lambda_3''}^{(\beta_1)}(b)\,,
\]
 hence, we can affirm that
 \[
y_{\bar M-\lambda_3''}^{(\beta_1)}(b) \begin{cases}
>0\,,& \text{if $\varepsilon_{n-k}-k-\beta_1$ is even,}\\
<0\,,& \text{if $\varepsilon_{n-k}-k-\beta_1$ is odd.}
\end{cases}
\]
Thus, we have proved that
 \[
y_{\bar M-\lambda_3''}(t) \begin{cases}
\geq 0\,,\; t\in I\,,& \text{if $\varepsilon_{n-k}-k$ is even,}\\
\leq 0\,,\; t\in I\,,& \text{if $\varepsilon_{n-k}-k$ is odd.}
\end{cases}
\]
Hence, since $\gamma=n-\varepsilon_{n-k}-1$, taking into account
that $y_{\bar M-\lambda_3''}$ cannot have any zero on $(a,b)$, we conclude
 \begin{itemize}
 \item If $n-k$ is even and $M\in[\bar M-\lambda_3'',\bar M-\lambda_1)$, then
 for each $t\in (a,b)$ there exists ${\rho_1}_2(t)>0$ such that
\[
g_M(t,s)<0\quad  \forall s\in (b-{\rho_1}_2(t),b)\,.
\]
 \item If $n-k$ is odd and $M\in(\bar M-\lambda_1,\bar M-\lambda_3'']$, then
 for each $t\in (a,b)$ there exists ${\rho_1}_2(t)>0$ such that
\[
 g_M(t,s)>0\quad \forall s\in (b-{\rho_1}_2(t),b)\,.
\]
 \end{itemize}

$\bullet$  Study of $\widehat w_{\bar M-\lambda_3'}$.

\begin{notation} \rm
 Let us define $\eta_1\in \{0,\dots,n-1\}$ such that
$\eta_1\notin \{\tau_1,\dots,\tau_{n-k-1},\eta\}$ and
$\{0,\dots,\eta_1-1\}\subset\{\tau_1,\dots,\tau_{n-k-1},\eta\}$.
 \end{notation}
To obtain the sign of $\widehat w_{\bar M-\lambda_3'}$, let us study the
sign of $\widehat w_{\bar M-\lambda_3'}^{(\eta_1)}(a)$.
From Lemma \ref{L::3} and \eqref{Cf::wmg}, we conclude that
 \[
\widehat T_{\tau_{n-k}}\widehat w_{\bar M-\lambda_3'}(a) \begin{cases}
>0\,,& \text{if $\tau_{n-k}$ is odd,}\\
<0\,,& \text{if $\tau_{n-k}$ is even.}
\end{cases}
\]
Analogously to $T_k$, to allow the maximal oscillation we conclude that
$\widehat T_{n-\ell}\widehat w_{\bar M-\lambda_3'}$ must change its
sign each time that it is non null. Thus, since from $\eta_1$ to $\tau_{n-k}$
we have $n-k-\eta_1$ zeros, with maximal oscillation, the following
inequalities are fulfilled.

If $\tau_{n-k}$ is odd:
 \[
\widehat T_{\eta_1}\widehat w_{\bar M-\lambda_3'}(a)\begin{cases}
>0\,,& \text{if $\tau_{n-k}-\eta_1-(n-k-\eta_1)=\tau_{n-k}-n+k$ is even,}\\
<0\,,& \text{if $\tau_{n-k}-n+k$ is odd.}
\end{cases}
\]
If $\tau_{n-k}$ is even:
 \[
\widehat T_{\eta_1}\,\widehat w_{\bar M-\lambda_3'}(a) \begin{cases}
<0\,,& \text{if $\tau_{n-k}-n+k$ is even,}\\
>0\,,& \text{if $\tau_{n-k}-n+k$ is odd.}
\end{cases}
\]
From \eqref{Ec::Tgg}, we conclude that
 \[
\widehat T_{\eta_1}\,\widehat w_{\bar M-\lambda_3'}(a)
={v_1(a)\dots v_{n-\eta_1}(a)}w_{\bar M-\lambda_3'}^{(\eta_1)}(a)\,,
\]
hence, we can affirm that
 \[
\widehat w_{\bar M-\lambda_3'}^{(\eta_1)}(a) \begin{cases}
>0\,,& \text{if $n-k$ is odd,}\\
<0\,,& \text{if $n-k$ is even.}
\end{cases}
\]
Thus, we have proved that
 \[
\widehat w_{\bar M-\lambda_3'} \begin{cases}
\geq 0\,,& \text{on $I$ if $n-k$ is odd,}\\
\leq 0\,,& \text{on $I$ if $n-k$ is even.}
\end{cases}
\]
Hence, we conclude:
\begin{itemize}
 \item If $n-k$ is even and $M\in[\bar M-\lambda_3',\bar M-\lambda_1)$, then
 for each $s\in (a,b)$ there exists ${\rho_2}_1(s)>0$ such that
\[
g_M(t,s)<0\quad  \forall t\in (a,a+{\rho_2}_1(s))\,.
\]
 \item If $n-k$ is odd and $M\in(\bar M-\lambda_1,\bar M-\lambda_3']$, then
for each $s\in (a,b)$ there exists ${\rho_2}_1(t)>0$ such that
\[
g_M(t,s)>0\quad  \forall t\in (a,a+{\rho_2}_1(s))\,.
\]
 \end{itemize}


$\bullet$ Study of $\widehat y_{\bar M-\lambda_3''}$.

 \begin{notation} \rm
 Let us denote $\gamma_1\in\{0,\dots,n-1\}$, such that
 $\gamma_1\notin \{\delta_1,\dots,\delta_{k-1},\gamma\}$ and
$\{0,\dots,\gamma_1-1\}\subset \{\delta_1,\dots,\delta_{k-1},\gamma\}$.
 \end{notation}

To obtain the sign of $\widehat y_{\bar M-\lambda_3''}$, we
 study the sign of $\widehat y_{\bar M-\lambda_3''}^{(\beta_1)}(b)$.
From Lemma \ref{L::4} coupled with \eqref{Cf::ymg}, we conclude that
 \[
\widehat T_{\delta_k}\,\widehat y_{\bar M-\lambda_3''}(b) \begin{cases}
>0\,,& \text{if $\delta_k$ is even,}\\
<0\,,& \text{if $\delta_k$ is odd.}
\end{cases}
\]
In this case, analogously to $T_k$, to allow the maximal oscillation
$\widehat T_{n-\ell}w_{\bar M-\lambda_3'}(b)$ changes its sign each time
that it vanishes and it remains of constant sign if it does not vanish.
Thus, with maximal oscillation, since from $\gamma_1$ to $\delta_k$
we have $k-\gamma_1$ zeros

 If $\delta_k$ is even:
 \[
\widehat T_{\gamma_1}\,\widehat y_{\bar M-\lambda_3''}(b) \begin{cases}
>0\,,& \text{if $k-\gamma_1$ is even,}\\
<0\,,& \text{if $k-\gamma_1$ is odd.}
\end{cases}
\]
If $\delta_k$ is odd:
 \[
\widehat T_{\gamma_1}\,\widehat y_{\bar M-\lambda_3''}(b)\begin{cases}
<0\,,& \text{if $k-\gamma_1$ is even,}\\
>0\,,& \text{if $k-\gamma_1$ is odd.}
\end{cases}
\]
From \eqref{Ec::Tgg}, we conclude that
 \[
\widehat T_{\gamma_1}\,\widehat y_{\bar M-\lambda_3''}(b)
={v_1(b)\dots v_{n-\gamma_1}(b)}\widehat y_{\bar M-\lambda_3''}^{(\gamma_1)}(b)\,,
\]
 hence, we can affirm that
 \[
\widehat y_{\bar M-\lambda_3''}^{(\gamma_1)}(b) \begin{cases}
>0\,,& \text{if $k-\delta_k-\gamma_1$ is even,}\\
<0\,,& \text{if $k-\delta_k-\gamma_1$ is odd.}
\end{cases}
\]
Thus, we have proved that
 \[
\widehat y_{\bar M-\lambda_3''}(t) \begin{cases}
\geq 0\,,& \text{if $k-\delta_k$ is even,}\\
\leq0\,,& \text{if $k-\delta_k$ is odd.}
\end{cases}
\]
Hence, since $\beta=n-\delta_k-1$, we conclude
 \begin{itemize}
 \item If $n-k$ is even and $M\in[\bar M-\lambda_3'',\bar M-\lambda_1)$, then
 for each $s\in (a,b)$ there exists
${\rho_2}_2(s)>0$ such that
\[
 g_M(t,s)<0\ \forall t\in (b-{\rho_2}_2(s),b)\,.
\]
 \item If $n-k$ is odd and $M\in(\bar M-\lambda_1,\bar M-\lambda_3'']$, then
 for each  $s\in (a,b)$ there exists ${\rho_2}_2(s)>0$ such that
\[
g_M(t,s)>0 \quad  \forall t\in (b-{\rho_2}_2(s),b)\,.
\]
 \end{itemize}

By taking $\rho_1(t)=\min\{{\rho_1}_1(t),{\rho_1}_2(t)\}$
and $\rho_2(s)=\min\{{\rho_2}_1(s),{\rho_2}_2(s)\}$, we
complete the proof.
 \end{proof}

 \begin{remark} \label{R::14} \rm
 From Theorems \ref{T::IPN1} and \ref{T::IPN2}, if we are able to prove
that the sign change of the related Green's function must begin on the
boundary of $I\times I$, then the intervals obtained in Theorem \ref{T::IPN1}
are optimal.
 \end{remark}

 \begin{example}  \label{Ex::14} \rm
 Now, we apply the Remark \ref{R::14} to our recurrent example, the operator
 $T_4^0[M]$.
Let us assume that there exists $M^*\in[-\pi^4,m_1^4)$ such that $g_{M^*}(t,s)$
changes its sign. Then, from Theorem \ref{T::IPN2} it must exist $s^*\in(0,1)$
such that $u^*(t)=g_{M^*}(t,s^*)$ has at least two zeros, $0<c_1<c_2<1$.

 By the definition of the Green's function $u^*\in C^2([0,1])$. So, there
exists $c^*\in(c_1,c_2)$ such that ${u^*}'(c^*)=0$. There are two possibilities:

$\bullet$ $c^*\leq s^*$.
In this case, $u^*$ is a solution of $T_4^0[M^*]u^*(t)=0$ on $[0,c^*]$
satisfying the boundary conditions $u^*(0)={u^*}''(0)={u^*}'(c^*)=0$.
Moreover, it satisfies $u^*(c_1)=0$.

The function $y^*(t)=u^*(c^*t)$ satisfies $y^*(0)={y^*}''(0)={y^*}'(1)=0$
and $y^*\left( \frac{c_1}{c^*}\right) =0$. Moreover, it is a solution of
$T_4^0[{c^*}^4M^*]y^*(t)=0$ on $[0,1]$, with $0>{c^*}^4\,M^*>M^*>-\pi^4>-m_3^4$,
where $m_3^4$ has been introduced in Example \ref{Ex::6}. But, this is is a
contradiction with Proposition \ref{P::2}.

$\bullet$ $c^*>s^*$.
In this case, $u^*$ is a solution of $T_4^0[M^*]u^*(t)=0$ on $[c^*,1]$ satisfying
the boundary conditions ${u^*}'(c^*)={u^*}'(1)={u^*}''(1)=0$.
Moreover, it satisfies $u^*(c_2)=0$.

 The function $y^*(t)=u^*((1-c^*)t+c^*)$ satisfies
 \begin{equation}
 \label{Ec::Ex14} {y^*}'(0)={y^*}'(1)={y^*}''(1)=0 \,.
 \end{equation}
Moreover, it is a solution of $T_4^0[(1-c^*)^4M^*]y^*(t)=0$ on $[0,1]$ and
$y^*( \frac{c_2-c^*}{1-c^*}) =0$, with $0>(1-c^*)^4M^*>M^*>-\pi^4$.
It can be seen that $\pi^4$ is the least positive eigenvalue of $T_4^0[0]$
on $X_{\{0,1\}}^{\{1,2\}}$.

 Now, let us see that every solution of $u^{(4)}(t)+M u(t)=0$, satisfying the
given boundary conditions \eqref{Ec::Ex14}, cannot have any zero on $(0,1)$
 whenever $M\in(-\pi^4,0)$. Which is a contradiction of supposing that there
is a sign change on the Green's function.

 First, let us choose $M=-\big(\pi/2\big)^4$, the solution is given
as a multiple of
 \[
u(t)=f_1(1-t)+f_2(1-t)\,,
\]
 where, for $t\in[0,1]$,
\begin{gather*}
f_1(t)=\Big(1-\sinh \big(\frac{\pi }{2}\big)\Big)
\Big(\sinh \big(\frac{\pi t}{2}\big)-\sin \big(\frac{\pi t}{2}\big)\Big)
\geq f_1(1)=-\Big(\sinh \big(\frac{\pi }{2}\big)-1\Big)^2\,,\\
f_2(t)=\cosh \big(\frac{\pi }{2}\big)
 \Big(\cos \big(\frac{\pi t}{2}\big)+\cosh \big(\frac{\pi t}{2}\big)\Big)
\geq f_2(0)=2 \cosh \big(\frac{\pi }{2}\big)\,.
\end{gather*}
So, $u(t)\geq -\left(\sinh \big(\frac{\pi }{2}\big)-1\right)^2
+2 \cosh \big(\frac{\pi }{2}\big)>0$ for all $t\in[0,1]$.

 Now, let us move continuously on $M$ to obtain the different solutions of
of the equation $T_4^0[M] u(t)=0$, coupled with the boundary conditions \eqref{Ec::Ex14}.
Let us see that it is not possible that these solutions begin to change
sign on $(0,1)$. If this was the case, we would have that there
exist $\widehat{M}\in(-\pi^4,0)$ and $\widehat{t}\in(0,1)$ such that
$\widehat{u}$ is a solution of $T_4^0[\widehat{M}]\widehat u(t)=0$ on
$[\widehat{t},1]$, verifying $\widehat{u}(\widehat{t})
=\widehat{u}'(\widehat{t})=\widehat{u}(1)=\widehat{u}''(1)=0$.
Then, the function $\widehat{y}(t)=\widehat{u}((1-\widehat{t})t+\widehat{t})$
is an eigenfunction related to the eigenvalue
$-(1-\widehat{t})^4\,\widehat{M}\in(0,\pi^4)$ of the operator $T_4^0[0]$
on $X_{\{0,1\}}^{\{1,2\}}$ which is a contradiction.

 Analogously, if there exists $\widehat{M}\in(-\pi^4,0)$, for which there
is a nontrivial solution of $T_4^0[\widehat{M}]u(t)=0$ on $[0,1]$, satisfying
 $u(0)=0$, coupled with the boundary conditions \eqref{Ec::Ex14}, then there
is an eigenvalue $-\widehat{M}\in (0,\pi^4)$ of the operator $T_4^0[0]$ on
$X_{\{0,1\}}^{\{1,2\}}$, which is again a contradiction.

 Finally, since there is no positive eigenvalue of $T_4^0[0]$ on
$X_{\{1\}}^{\{0,1,2\}}$, we can affirm that it is not possible that the
sign change begins at $t=1$.
So, we have proved that every solution of $u^{(4)}(t)+M u(t)=0$ coupled
with the boundary conditions \eqref{Ec::Ex14} does not not have any zero
on $(0,1)$ for $M\in(-\pi^4,0)$. Thus, we also have arrived to a contradiction
 if $c^*>s$.

So, from Remark \ref{R::14},  Theorems \ref{T::IPN1} and \ref{T::IPN2}, we can
affirm that $T_4^0[M]$ is a strongly inverse negative operator on
$X_{\{0,2\}}^{\{1,2\}}$ if and only if $M\in[-\pi^4,-m_1^4)$,
where $m_1$ has been introduced in Example \ref{Ex::6}.
 \end{example}

 \begin{example} \rm
 Using a similar argument to Example \ref{Ex::14}, in \cite{CabSaa2}
it is studied the strongly inverse negative character of the operator
$T_4(p_1,p_2)[M]$ previously introduced in Section \ref{SS::Ex}.
There, a characterization of the parameter's set where $T_4(p_1,p_2)$ is
 strongly inverse negative on $X_{\{0,2\}}^{\{0,2\}}$ is obtained and
several particular examples are given.
 \end{example}

 \section{Characterization of strongly
inverse positive (negative) character for non homogeneous boundary conditions}
\label{chapt9}

 This section is devoted to the study of the operator $T_n[M]$, coupled
with different non homogeneous boundary conditions.
First, let us consider the set
\begin{equation}\label{Ec::X_senh}
 \begin{aligned}
\tilde X_{\{\sigma_1,\dots, \sigma_k\}}^{\{\varepsilon_1,\dots, \varepsilon_{n-k}\}}
=\big\{& u\in C^n(I):u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_k-1)}(a)=0\,,\\
& (-1)^{n-\sigma_k-1}u^{(\sigma_k)}(a)\geq0\,, \;
 u^{(\varepsilon_1)}(b)=\cdots\\
&=u^{(\varepsilon_{n-k-1})}(b)=0\,,\;
  u^{(\varepsilon_{n-k})}(b)\leq 0\big\} \,.
 \end{aligned}
\end{equation}
That is, we consider a set where some of the boundary conditions do not
have to be necessarily homogeneous. This information is very useful in
order to apply the lower and upper solutions method and monotone iterative
techniques for nonlinear boundary-value problems, see for instance \cite{CaCiSa}.

 So, we are interested in characterizing the parameter's set for which the
operator $T_n[M]$ is strongly inverse positive or negative on
$\tilde X_{\{\sigma_1,\dots, \sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
We introduce the boundary conditions that a function
$u\in \tilde X_{\{\sigma_1,\dots, \sigma_k\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}\}}$ must satisfy:
 \begin{gather}
 \label{Ec::cfanh} u^{(\sigma_1)}(a)=\cdots=u^{(\sigma_k-1)}(a)=0\,,
\quad u^{(\sigma_k)}(a)=c_1\,,\\
 \label{Ec::cfbnh} u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k-1})}(b)=0\,,
\quad u^{(\varepsilon_{n-k})}(b)=c_2\,,
 \end{gather}
where $(-1)^{n-\sigma_k-1}c_1\geq 0$ and $c_2\leq 0$.
We can relate problem \eqref{Ec::T_n[M]}, \eqref{Ec::cfanh}-\eqref{Ec::cfbnh}
with the homogeneous problem \eqref{Ec::T_n[M]}--\eqref{Ec::cfb}
by means of the following result.

 \begin{lemma}\label{L::14}
 If  problem \eqref{Ec::T_n[M]}--\eqref{Ec::cfb} has only the trivial solution.
Then  problem $T_n[M] u(t)=h(t)$, $t\in I$, coupled with  boundary
conditions \eqref{Ec::cfanh}-\eqref{Ec::cfbnh} has a unique solution, which is given by
 \begin{equation}  \label{Ec::sol}
 u(t)=\int_a^bg_M(t,s)\,h(s)\,ds+c_1\,x_M(t)+c_2\,z_M(t)\,,
 \end{equation}
 where $g_M(t,s)$ is the related Green's function of $T_n[M]$ on
$X_{\{\sigma_1,\dots, \sigma_k\}}^{\{\varepsilon_1,\dots, \varepsilon_{n-k}\}}$ and:
\begin{itemize}
\item $x_M$ is defined as the unique solution of
 \begin{equation}  \label{Ec::xm}
 \begin{gathered}
 T_n[M] u(t)=0\,,\quad t\in I\,,\\
 u^{(\sigma_1)}(a)=\dots=u^{(\sigma_{k-1})}(a)=0\,,\quad u^{(\sigma_k)}(a)=1\,,\\
 u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k})}(b)=0\,.
\end{gathered}
 \end{equation}

 \item $z_M$ is defined as the unique solution of
 \begin{equation} \label{Ec::ym}
\begin{gathered}
 T_n[M] u(t)=0\,,\quad t\in I\\
 u^{(\sigma_1)}(a)=\dots=u^{(\sigma_{k})}(a)=0\,,\\
 u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k-1})}(b)=0\,,
\quad u^{(\varepsilon_{n-k})}(b)=1\,.
\end{gathered}
 \end{equation}
 \end{itemize}
 \end{lemma}

 Using this Lemma we can obtain the following result which characterizes
the strongly inverse positive (negative) character of $T_n[M]$ on
$\tilde X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 \begin{theorem}\label{T::IPNH}
 $T_n[M]$ is strongly inverse positive (negative) on
$\tilde X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
 if and only if it is strongly inverse positive (negative) on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{theorem}

 \begin{proof}
 Since $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}\subset \tilde X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$ the necessary condition is obvious.


 Now, let us see the sufficiency part. From the strongly inverse positive
(negative) character of $T_n[M]$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
using Theorem \ref{T::in2}, we conclude that $g_M>0$ ($<0$) a.e. on $I\times I$.
Then, from Lemma \ref{L::14}, we only need to study the sign of $x_M$ and $z_M$.
To do that, we establish a relationship between these functions and some
derivatives of $g_M(t,s)$.

 Taking into account the boundary conditions, it is clear that
\[
x_M(t)=(-1)^{n-1-\sigma_k}\,w_M(t)\quad\text{and}\quad
 z_M(t)=(-1)^{n-\varepsilon_{n-k}}\,y_M(t)\,,
\]
where $w_M$ and $y_M$ have been defined in the proof of Theorem \ref{T::IPN}
as follows:
 \[
w_M(t)=\frac{\partial^\eta}{\partial s^\eta}g_M^1(t,s)\big|_{s=a}\,,\quad
 y_M(t)=\frac{\partial ^\gamma}{\partial s^\gamma}g_M^2(t,s)\big|_{s=b}\,.
\]
If $T_n[M]$ is strongly inverse positive (negative) on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
then $w_M(t)\geq 0$ ($\leq 0$) and $(-1)^{\gamma}\,y_M(t)\geq 0$.
Since  $\gamma=n-1-\varepsilon_{n-k}$, it follows that
$(-1)^{n-\varepsilon_{n-k}}\,y_M(t)\leq 0$ in both cases.
Thus, the result is proved.
\end{proof}

 \section{Study of particular type of operators}

 In this section we consider a particular type of operators which satisfy
property $(T_d)$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
thus we can apply previous results to these operators.
After that, we obtain some results which characterize either the strongly
inverse positive character or the strongly inverse negative character
of $T_n[M]$ if $n-k$ is even or odd, respectively, in different sets where more
general non homogeneous boundary conditions are considered.
First, we introduce the following notation.

 \begin{notation} \rm
 First, let us denote $\alpha_2\in\{-1,0,1,\dots,n-2\}$, such that
 $\alpha_2\notin \{\sigma_1,\dots,\sigma_k\}$ and
$\{\alpha_2+1,\alpha_2+2,\dots,\sigma_k\}\subset\{\sigma_1,\dots,\sigma_k\}$;
and $\beta_2\in\{-1,0,1,\dots,n-2\}$, such that
$\beta_2\notin \{\varepsilon_1,\dots,\varepsilon_{n-k}\}$ and
$\{\beta_2+1,\beta_2+2,\dots,\varepsilon_{n-k}\}\subset\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}$ .
We denote $\mu=\max\{\alpha_2,\beta_2\}$.
 \end{notation}

 \begin{remark} \rm
If $\sigma_k=k-1$ then $\alpha_2=-1$. Otherwise, $\alpha_2\geq \alpha\geq 0$.
Moreover, if $\varepsilon_{n-k}=n-k-1$ then $\beta_2=-1$. Otherwise,
$\beta_2\geq \beta\geq 0$.
 \end{remark}

Now, we introduce the following sufficient condition for an operator
to satisfy property $(T_d)$.

 \begin{proposition}
 If the linear differential equation of $(n-\mu-1)^\mathrm{th}$-order:
 \begin{equation}
 \label{Ec::mu} L_{n-\mu-1} u(t)\equiv u^{(n-\mu-1)}(t)
+p_1(t) u^{(n-\mu-2)}(t)+\cdots+p_{n-\mu-1}(t) u(t)=0\,,
 \end{equation}
 with $p_{j}\in C^{n-j}(I)$, is disconjugate on $I$, then the operator:
 \[
\tilde T_n[0] u(t)=u^{(n)}(t)+p_1(t) u^{(n-1)}(t)
+\cdots+p_{n-\mu-1}(t) u^{(\mu+1)}(t)\,,
\]
 satisfies property $(T_d)$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{proposition}

 \begin{proof}
 From Theorems \ref{T::4} and \ref{T::3}, since the linear differential equation
\eqref{Ec::mu} is disconjugate on $I$, there exist positive functions
$v_1,\,\dots\,, v_{n-\mu-1}$ such that $v_k\in C^{n-\mu-k}(I)$ for
$k=1,\dots, n-\mu-1$, and
 \[
L_{n-\mu-1} u\equiv v_1\cdots v_{n-\mu-1}
\frac{d}{dt}\Big( \frac{1}{v_{n-\mu-1}}\frac{d}{dt}
\Big( \cdots \frac{d}{dt}\big( \frac{u}{v_1}\big) \Big) \Big) \,.
\]
\smallskip

\noindent\textbf{Step 1.}
Let us see that, in fact, $v_k\in C^n(I)$ for $k=1,\dots,n-\mu-1$.
 Since, $p_{j}\in C^{n-j}(I)$ for $j\in\{ \mu+1,\dots,n-1\}$, every
solution of \eqref{Ec::mu} belongs to $C^n(I)$.

 If we look at the proof of Theorem \ref{T::3}, given in
\cite[Chapter 3, Theorem 2]{Cop}, we observe that $v_k$ is given by the
 recurrence formula
\begin{gather*}
 v_1=y_1\,,\quad v_2=\frac{W(y_1,y_2)}{y_1^2}\,,\\
 v_k=\frac{W(y_1,\dots,y_k) W(y_1,\dots,y_{k-2})}{W(y_1,\dots,y_k-1)^2}\,,\quad
 \text{for } k\geq 2\,,
\end{gather*}
where $\{y_1,\dots,y_{n-\mu-1}\}$ is a Markov fundamental system of solutions
of \eqref{Ec::mu} and $W$ the correspondent Wronskians.
Thus, taking into account that $y_1,\dots,y_{n-\mu-1}\in C^n(I)$,
we conclude that $v_1\in C^n(I)$,
$v_2\in C^{n-1}(I)\,,\dots,v_{n-\mu-1}\in C^{\mu+2}(I)$.

 Now, let us consider the expression \eqref{Ec::Tl}, with $\ell =n-\mu-1$
and ${p_\ell}_{j}=p_{j}\in C^{n-j}(I)$, $j\in\{\mu+1,\dots,n-1\}$ given
by expressions \eqref{Ec::pl1}--\eqref{Ec::pll}.
First, let us see that $v_1\in C^n(I)$, $v_2\in C^n(I)$,
$v_3\in C^{n-1}(I)\,,\dots,v_{n-\mu-1}\in C^{\mu+3}(I)$.

 If $\mu=n-2$, then $n-\mu-1=1$ and the result is proved.
Otherwise, $p_1\in C^{n-1}(I)\subset C^{\mu+2}(I)$, since
$v_1\,,\dots\,,v_{n-\mu-2}\in C^{\mu+3}(I)$ and $v_{n-\mu-1}\in C^{\mu+2}(I)$,
from \eqref{Ec::pl1} we obtain that $v_{n-\mu-1}'\in C^{\mu+2}(I)$,
then $v_{n-\mu-1}\in C^{\mu+3}(I)$.

 Let us assume that $v_{k+1}\in C^{n-k}(I)$,
$v_{k+2}\in C^{n-k-1}(I)\,,\dots\,,v_{n-\mu-1}\in C^{\mu +3}(I)$,
then since $v_{k}\in C^{n-k}(I)$ considering the expression of
$p_{n-\mu-k}$, given in \eqref{Ec::pll} for $\ell_\ell=n-\mu-k$, we obtain
that $v_k^{(n-\mu-k)}\in C^{\mu+1}(I)$, hence $v_k\in C^{n-k+1}(I)$.
Thus, we have proved by induction that $v_1\in C^n(I)$,
$v_2\in C^n(I)$, $v_3\in C^{n-1}(I)\,,\dots,v_{n-\mu-1}\in C^{\mu+3}$.
If $\mu= n-3$, then the result is proved, since $v_1$, $v_2\in C^n(I)$.


 Now, let us assume that $\mu<n-3$. Considering the expression of
$p_{n-\mu-3}\in C^{\mu +3}(I)$, given in \eqref{Ec::pll} for
$\ell_\ell=n-\mu-k$. Since $v_2\in C^n(I)$, we conclude that
$v_3^{(n-\mu-3)}\in C^{\mu+3}(I)$; so, $v_3\in C^n(I)$.
If we suppose that $v_1,\dots,v_{k-1}\in C^n(I)$, then by considering
the expression of $p_{n-\mu-k}\in C^{\mu+k}(I)$, we conclude that
$v_k^{(n-\mu-k)}\in C^{\mu+k}(I)$, thus $v_k\in C^n(I)$.
Then, we have proved that $v_1,\dots,v_{n-\mu-1}\in C^n(I)$.
\smallskip

\noindent\textbf{Step 2.}
 Construction of the decomposition satisfying  property $(T_d)$.
  Now, we consider the decomposition of $\tilde{T}[0]$ as follows:
 \[
\tilde{T}[0] u\equiv v_1\dots v_{n-\mu-1} \frac{d}{dt}
\Big( \frac{1}{v_{n-\mu-1}}\frac{d}{dt}\Big( \cdots \frac{d}{dt}
\big( \frac{u^{(\mu+1)}}{v_1}\big) \Big) \Big) \,.
\]
Hence, if we denote $\tilde v_1=\dots=\tilde v_{\mu+1}=1$ and
$\tilde v_{\mu+2}=v_1,\dots,\tilde v_n=v_{n-\mu-1}$, we can decompose
$\tilde T_n[0]$ in the following sense:
 \[
\tilde T_0\, u=u\,,\quad
\tilde T_k u=\frac{d}{dt}\Big( \frac{\tilde T_{k-1} u}{\tilde v_k}\Big) \,,\quad
 k=1,\dots,n\,.
\]
Trivially $\tilde T_n[0] u={\tilde{v}_1\dots\tilde v_n}\tilde T_n u$.

Now, let us see that this decomposition satisfies the property $(T_d)$.
 We have that $\tilde T_0 u=u$,
$\tilde{T}_1 u=u'\,,\dots,\tilde T_{\mu+1}u=u^{(\mu+1)}$.
Hence, if $\sigma_i<\alpha_2\leq \mu$ then
 $\tilde T_{\sigma_i}u(a)=u^{(\sigma_i)}(a)=0$.

 Analogously, if $\varepsilon_i<\beta_2\leq \mu$, then
$\tilde T_{\varepsilon_i}u(b)=u^{(\varepsilon_i)}(b)=0$.
If $h>\mu+1$, then
 \[
\tilde T_{h}u=\frac{u^{(h)}}{v_1\dots v_h}+{p_h}_1 u^{(h-1)}
+\cdots+ {p_h}_{h-\mu-1} u^{(\mu+1)}\,,
\]
 where ${p_h}_i$ is given by equations \eqref{Ec::pl1}--\eqref{Ec::pll}.

 If $\sigma_i>\mu$, then by definition of $\mu$,
$u^{(\mu+1)}(a)=u^{(\mu+2)}(a)=\cdots=u^{(\sigma_i)}(a)=0$.
Hence $\tilde T_{\sigma_i}u(a)=0$.
Analogously, if $\varepsilon_i>\mu$, then
 $u^{(\mu+1)}(b)=u^{(\mu+2)}(b)=\cdots=u^{(\varepsilon_i)}(b)=0$.
Hence $\tilde T_{\varepsilon_i}u(b)=0$.
Thus, the result is proved.
 \end{proof}

 As consequence of this result, we can apply Theorems
\ref{T::IPN}, \ref{T::IPN1}, \ref{T::IPN2} and \ref{T::IPNH} to operator
$\tilde T_n[M]$.
Moreover, for this particular case, we will be able to obtain a
characterization of strongly inverse positive (negative) character
in different spaces with inhomogeneous boundary conditions.

 \begin{definition}\label{Def::SE} \rm
Let us consider $\{\sigma_{\epsilon_1},\dots,\sigma_{\epsilon_\ell}\}
\subset\{\sigma_1,\dots,\sigma_k\}$ such that
$\sigma_{\epsilon_1}<\sigma_{\epsilon_2}<\cdots<\sigma_{\epsilon_\ell}=\sigma_k$,
 with $\sigma_{\epsilon_{\ell-1}}<\mu$.
And $\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}
\subset\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$ such that
$\varepsilon_{\kappa_1}<\varepsilon_{\kappa_2}
<\cdots<\varepsilon_{\kappa_h}=\varepsilon_{n-k}$, with
$\varepsilon_{\kappa_{h-1}}<\mu$.
Let us define the set of functions
$X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$
as the set of functions $u\in C^n (I)$ such that
\begin{equation} \label{Ec::xNH}
\begin{gathered}
\begin{aligned}
u^{(\sigma_j)}(a)
&=\begin{cases} 0 &j\notin \{\epsilon_1,\dots,\epsilon_\ell\}\\
(-1)^{n-\sigma_j-(k-j)+1}\varphi_j &j\in\{\epsilon_1,\dots,\epsilon_\ell\}
\end{cases} \\
&\quad \text{for some }\varphi_j\geq 0,\; j=1,\dots,k\,; \text{and}
\end{aligned}\\
\begin{aligned}
u^{(\varepsilon_i)}(b)
&=\begin{cases}
0 &i\notin \{\kappa_1,\dots,\kappa_h\}\\
(-1)^{n-k+i-1}\psi_i &i\in\{\kappa_1,\dots,\kappa_h\}
\end{cases} \\
&\quad \text{for some }\psi_i\geq 0\,,\; i=1,\dots,n-k\,.
\end{aligned}
\end{gathered}
\end{equation}
\end{definition}

 Now, we enunciate a similar result to Lemma \ref{L::14} for this more general case

\begin{lemma}\label{L::14-1}
 If problem \eqref{Ec::T_n[M]}--\eqref{Ec::cfb} has only the trivial solution.
Then problem $T_n[M] u(t)=h(t)$, $t\in I$, coupled with the boundary conditions
 \begin{gather} \label{Ec::cfnh1}
u^{(\sigma_j)}(a)=\begin{cases}
0\,,&j\notin \{\epsilon_1,\dots,\epsilon_\ell\}\,,\; j=1,\dots,k\,,\\
c_j\,,&j\in\{\epsilon_1,\dots,\epsilon_\ell\},\; \quad j=1,\dots,k\,;
\end{cases} \\
 \label{Ec::cfnh2}
u^{(\varepsilon_i)}(b)=\begin{cases}
0\,,&i\notin \{\kappa_1,\dots,\kappa_h\},\;i=1,\dots,n-k\,,\\
d_i\,,&i\in\{\kappa_1,\dots,\kappa_h\},\;i=1,\dots,n-k
\end{cases}
 \end{gather}
 has a unique solution, which is  given by
 \begin{equation}  \label{Ec::solnh}
 u(t)=\int_a^bg_M(t,s)\,h(s)\,ds+\sum_{j=1}^\ell c_{\epsilon_j}
x_M^{\sigma_{\epsilon_j}}(t)
+\sum_{i=1}^hd_{\kappa_i} z_M^{\varepsilon_{\kappa_i}}(t)\,,
 \end{equation}
 where $g_M(t,s)$ is the related Green's function of $T_n[M]$ on
$X_{\{\sigma_1,\dots, \sigma_k\}}^{\{\varepsilon_1,\dots, \varepsilon_{n-k}\}}$, and
 \begin{itemize}
 \item $x_M^{\sigma_{\epsilon_j}}$ is  the unique solution of
 \begin{equation}  \label{Ec::xm1}
\begin{gathered}
 T_n[M] u(t)=0\,,\quad t\in I\\
 u^{(\sigma_{\epsilon_j})}(a)=1\,,\\
 u^{(\sigma_1)}(a)=\dots=u^{(\sigma_{\epsilon_j-1})}(a)
=u^{(\sigma_{\epsilon_j+1})}(a)=\cdots=u^{(\sigma_k)}(a)=0\,,\\
 u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k})}(b)=0\,.
\end{gathered}
 \end{equation}
 \item $z_M^{\varepsilon_{\kappa_i}}$ is  the unique solution of
 \begin{equation} \label{Ec::ym1}
\begin{gathered}
 T_n[M] u(t)=0\,,\quad t\in I\,,\\
 u^{(\sigma_k)}(a)=\dots=u^{(\sigma_{k})}=0\,,\\
 u^{(\varepsilon_{\kappa_i})}(b)=1\,,\\
u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{\kappa_i-1})}(b)
=u^{(\varepsilon_{\kappa_i+1})}(b)=\cdots
=u^{(\varepsilon_{n-k})}(b)=0\,.
\end{gathered}
 \end{equation}
 \end{itemize}
 \end{lemma}

 We have the following results, which ensures the existence of the different
eigenvalues.

 \begin{lemma}\label{L::Td}\quad
 \begin{itemize}
 \item If $\sigma_{\epsilon_j}>\alpha$, then $\tilde T_n[0]$ satisfies
 property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},
\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 \item Operator $\tilde T_n[0]$ satisfies  property $(T_d)$ on
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},\dots,
\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \item If $\varepsilon_{\kappa_i}>\beta$, then $\tilde T_n[0]$ satisfies
 property $(T_d)$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}|\beta\}}$.
 \item Operator $\tilde T_n[0]$ satisfies the property $(T_d)$ on
 $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \end{lemma}

\begin{proof} Let us see the different cases:
 \begin{itemize}
\item If $\sigma_j<\mu$, then $T_{\sigma_j}u(a)=u^{(\sigma_j)}(a)=0$.

 \item If $\sigma_j=\sigma_k$, then $T_{\sigma_k}u(a)=0$, by the definition
of $\mu$.

 \item If $\varepsilon_i<\mu$, then $T_{\varepsilon_i}u(b)=u^{(\varepsilon_i)}(b)=0$.

 \item If $\varepsilon_i=\varepsilon_{n-k}$, then $T_{\varepsilon_{n-k}}u(b)=0$,
by the definition of $\mu$.

 \item If $u\in X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},
\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$ or
$u\in X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},\dots,
\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ and
$\sigma_{\epsilon_j}>\alpha$, then $T_\alpha u(a)=\frac{1}{v_1(a)
\dots v_\alpha(a)}u^{(\alpha)}(a)=0$.

\item Analogously, if either
$u\in X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}\}}$
or $\varepsilon_{\kappa_i}>\beta$ and $u\in X_{\{\sigma_1,\dots,
\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{\kappa_i-1},
\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}|\beta\}}$, then
$T_\beta u(b)=\frac{1}{v_1(b)\,\dots v_\alpha(b)}u^{(\beta)}(b)=0$.
 \end{itemize}
 \end{proof}

 \begin{remark}\label{R::16} \rm
If we can prove that either $T_{\sigma_j}u(a)=u^{(\sigma_j)}(a)$ or
$T_{\varepsilon_i}u(b)=u^{(\varepsilon_i)}(b)$, we do not need the assumption
 that $\sigma_j<\mu$ or $\varepsilon_i<\mu$ given by the choice of
$\{\epsilon_1,\dots,\epsilon_\ell\}$ and $\{\kappa_1,\dots,\kappa_h\}$
on Definition \ref{Def::SE}.

 This is true, in particular, if we can choose on decomposition
\eqref{Ec::Td1}-\eqref{Ec::Td2}, $v_1\equiv\cdots\equiv v_{\sigma_j}\equiv 1$
or $v_1\equiv\cdots\equiv v_{\varepsilon_i}\equiv 1$. We note that such a
choice is valid for the operator $T_n^0[M]=u^{(n)}(t)+M u(t)$, where we
can choose $v_1\equiv\cdots\equiv v_n\equiv 1$.

 The following results are also true under the hypothesis of this remark.
 \end{remark}

 \begin{lemma}\quad
 \begin{itemize}
 \item Let $n-k$ be even, then the following assertions are satisfied:
 \begin{itemize}
 \item If $\sigma_{\epsilon_j}>\alpha$, then there is
$\lambda_{\sigma_{\epsilon_j}}^1>0$, the least positive eigenvalue of
 $\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},
 \sigma_{\epsilon_j+1},\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}\}}$.
 \item There is $\lambda_{\sigma_{\epsilon_j}}^2<0$ the largest negative
 eigenvalue of $\tilde T_n[0]$ on the set \\
 $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},
 \sigma_{\epsilon_j+1},\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}|\beta\}}$.
 \item If $\varepsilon_{\kappa_i}>\beta$, then there is
$\lambda_{\varepsilon_{\kappa_i}}^1>0$, the least positive eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}|\beta\}}$.
 \item There exists $\lambda_{\varepsilon_{\kappa_i}}^2<0$ the largest negative
eigenvalue of $\tilde T_n[0]$ on the set
$X_{\{\sigma_1,\dots,
\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{\kappa_i-1},
\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}\}}$.

\end{itemize}
 \item Let $n-k$ be odd, then the following assertions are satisfied:
 \begin{itemize}
 \item If $\sigma_{\epsilon_j}>\alpha$, then there exists
$\lambda_{\sigma_{\epsilon_j}}^1<0$, the largest negative eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},
\sigma_{\epsilon_j+1},\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
 \item There exists $\lambda_{\sigma_{\epsilon_j}}^2>0$, the least positive
eigenvalue of operator $\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,
\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}|\beta\}}$.
 \item If $\varepsilon_{\kappa_i}>\beta$, then there exists
$\lambda_{\varepsilon_{\kappa_i}}^1<0$, the largest negative eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}|\beta\}}$.
 \item There exists $\lambda_{\varepsilon_{\kappa_i}}^2>0$, the least positive
eigenvalue of operator $\tilde T [0]$ on
$X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \end{itemize}
 \end{lemma}

 \begin{proof}
 Since $\{\sigma_1,\dots,\sigma_k\}-\{\varepsilon_1,\dots,\varepsilon_{n-k}\}$
satisfy property $(N_a)$, this property is satisfied in all the spaces involved
in the result.
Moreover, from Lemma \ref{L::Td}, the property $(T_d)$ is also satisfied.
Then, by applying Theorems \ref{L::5}, \ref{T::6} and \ref{T::7},
 the result is proved.
 \end{proof}

 Now, let us see two results which allow us to ensure that functions
 $x_M^{\sigma_{\epsilon_j}}$ and $z_M^{\varepsilon_{\kappa_i}}$ are of constant
sign for suitable values of $M$.

 \begin{proposition}\label{P::nh1}
 Let $u\in C^n(I)$ be a solution of $\tilde{T}[M] u(t)=0$ for $t\in (a,b)$,
which satisfies the boundary conditions
 \begin{equation} \label{Ec::cfxm1}
 \begin{gathered}
 u^{(\sigma_1)}(a)=\dots=u^{(\sigma_{\epsilon_j-1})}(a)
=u^{(\sigma_{\epsilon_j+1})}(a)=\cdots=u^{(\sigma_k)}(a)=0\,,\\
 u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{n-k})}(b)=0\,.
\end{gathered}
 \end{equation}
Then, the function $u$ does not have any zeros on $(a,b)$ provided that one
of the following assertions are fulfilled:
 \begin{itemize}
 \item If $n-k$ is even, $k>1$, $\sigma_{\epsilon_j}>\alpha$ and
$M\in[-\lambda_{\sigma_{\epsilon_j}}^1,-\lambda_{\sigma_{\epsilon_j}}^2]$,
 where
 \begin{itemize}
 \item[*] $\lambda_{\sigma_{\epsilon_j}}^1>0$ is the least positive eigenvalue of
$\tilde T_n[0]$ in \\
 $ X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},
 \dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
 \item[*] $\lambda_{\sigma_{\epsilon_j}}^2<0$ is the largest negative eigenvalue
of $\tilde T_n[0]$ on \\
 $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},
 \sigma_{\epsilon_j+1},\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}|\beta\}}$.
 \end{itemize}

 \item If $n-k$ is even, $k>1$, $\sigma_{\epsilon_j}<\alpha$ and
$M\in[-\lambda_1,-\lambda_{\sigma_{\epsilon_j}}^2]$, where
 \begin{itemize}
 \item[*] $\lambda_1>0$ is the least positive eigenvalue of $\tilde T_n[0]$
 on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$,
 \item[*] $\lambda_{\sigma_{\epsilon_j}}^2<0$ is the largest negative eigenvalue
of $\tilde T_n[0]$ on \\
 $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},\dots,
 \sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \item If $k=1$, $n$ odd, $\sigma_{\epsilon_j}>\alpha$ and
$M\in[-\lambda_{\sigma_{\epsilon_j}}^1,+\infty)$, where
 \begin{itemize}
 \item[*] $\lambda_{\sigma_{\epsilon_j}}^1>0$ is the least positive eigenvalue
of $\tilde T_n[0]$ on the set \\
 $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},
\sigma_{\epsilon_j+1},\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \item If $k=1$, $n$ odd, $\sigma_{\epsilon_j}<\alpha$ and
$M\in\left[-\lambda_1,+\infty\right)$, where
 \begin{itemize}
 \item[*] $\lambda_1>0$ is the least positive eigenvalue of $\tilde T_n[0]$
on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.

 \end{itemize}
 \item If $n-k$ is odd, $k>1$, $\sigma_{\epsilon_j}>\alpha$ and
$M\in[-\lambda_{\sigma_{\epsilon_j}}^2,-\lambda_{\sigma_{\epsilon_j}}^1]$,
where
 \begin{itemize}
 \item[*] $\lambda_{\sigma_{\epsilon_j}}^2>0$ is the least positive eigenvalue
of $\tilde T_n[0]$ on the set \\
 $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},
 \sigma_{\epsilon_j+1},\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}|\beta\}}$,
 \item[*] $\lambda_{\sigma_{\epsilon_j}}^1<0$ is the largest negative eigenvalue
 of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},
 \sigma_{\epsilon_j+1},\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}\}}$.
 \end{itemize}

 \item If $n-k$ is odd, $k>1$, $\sigma_{\epsilon_j}<\alpha$ and
$M\in[-\lambda_{\sigma_{\epsilon_j}}^2,-\lambda_1]$, where
 \begin{itemize}
 \item[*] $\lambda_{\sigma_{\epsilon_j}}^2>0$ is the least positive eigenvalue
 of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},
 \sigma_{\epsilon_j+1},\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{n-k}|\beta\}}$,
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of $\tilde T_n[0]$
 on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \item If $k=1$, $n$ odd, $\sigma_{\epsilon_j}>\alpha$ and
$M\in(-\infty,-\lambda_{\sigma_{\epsilon_j}}^1]$, where
 \begin{itemize}
 \item[*] $\lambda_{\sigma_{\epsilon_j}}^1<0$ is the largest negative
eigenvalue of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,
\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \item If $k=1$, $n$ odd, $\sigma_{\epsilon_j}<\alpha$ and
$M\in(-\infty,-\lambda_1]$, where
 \begin{itemize}
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$.
\end{itemize}
 \end{itemize}
 \end{proposition}

 \begin{proof}
 Firstly, let us see what happens for $M=0$. As we have seen in the previous
results, without taking into account the boundary conditions, if $u$ is a
solution of $\tilde T_n[0] u(t)=0$ on $(a,b)$, then $u$ has at most $n-1$ zeros.
However, from the boundary conditions \eqref{Ec::cfxm1}, we conclude
that $\tilde T_\ell u(a)=0$ or $\tilde T_\ell u(b)=0$ at least $n-1$
times from $\ell=0$ to $n-1$. Thus, we lose the $n-1$ possible oscillations
and $u$ does not have any zero on $(a,b)$.

 Now, let us consider $u_M\in C^n(I)$ a solution of $\tilde T_n[0] u_M(t)=0$
on $(a,b)$. Assume that $u_0>0$ on $(a,b)$ (if $u_0<0$ on $(a,b)$ the
arguments are valid by multiplying by $-1$) and we move continuously on
$M$ to obtain $u_M$.
We will see that while $u_M\geq 0$, it cannot have any double zero,
which implies that it is positive on $(a,b)$.

 It is known that $\tilde T [0] u_M(t)=-M u_M(t)$, on $(a,b)$, hence
$\tilde T_{n-1} u_M$ is a monotone function on $I$, with at most one zero.
Then, arguing as before, we conclude, without taking into account the
boundary conditions, that $u_M$ can have at most $n$ zeros. But, if we
consider the boundary conditions \eqref{Ec::cfxm1}, we lose $n-1$
possible oscillation and $u_M$ is only allowed to have a simple zero on
$(a,b)$, which is not possible if it is of constant sign.
Hence, we can affirm that $u_M>0$ on $(a,b)$ up to one of the following
assertions is satisfied:
\begin{itemize}
 \item $\sigma_{\epsilon_j}>\alpha$ and $u_M^{(\alpha)}(a)=0$.
 \item $\sigma_{\epsilon_j}<\alpha$ and $u_M^{(\sigma_{\epsilon_j})}(a)=0$.
 \item $u_M^{(\beta)}(b)=0$.
 \end{itemize}

Now, let us study separately the cases where $M>0$ or $M<0$ to see with
which of the previous assertions the sign change begins in each case.

If $M\geq 0$, then $\tilde{T}[0] u_M(t)=-M u_M(t)\leq 0$ for $t\in (a,b)$.
Thus, $\tilde T_n u_M(a)\leq 0$ and $\tilde T_n u_M(b)\leq 0$.
With maximal oscillation $\tilde T_{n-\ell} u_M(a)$ changes its sign each
time that it is not null and $\tilde T_{n-\ell} u_M(b)$ changes its sign
as many times as it vanishes.
\begin{itemize}
 \item If $\sigma_{\epsilon_j}>\alpha$, from $\ell =0$ to $n-\alpha$,
$\tilde T_{n-\ell}u_M(a)$ vanishes $k-1-\alpha$ times.
If $\tilde T_{n-\ell} u_M(a)=0$ for $\ell<n-\alpha$ and
$n-\ell\notin \{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},
\dots,\sigma_k|\alpha\}$, then $\tilde T_\alpha u_M(a)\neq 0$ and $u_M$
 remains positive on $(a,b)$. So, we can assume that this situation cannot
be fulfilled.

 Hence, with maximal oscillation, we have:
 \[
 \tilde T_\alpha u_M(a) \begin{cases}
\geq 0\,,&\text{ if $n-\alpha-(k-1-\alpha)=n-k+1$ is odd,}\\
\leq 0\,,&\text{ if $n-k+1$ is even.}
\end{cases}
\]
 Since $\sigma_{\epsilon_j}>\alpha$, from \eqref{Ec::Tl}, we have that
\[
\tilde T_\alpha u_M(a)=\frac{u^{(\alpha)}(a)}{v_1(a)\dots v_{\alpha}(a)}\,,
\]
so, with maximal oscillation:
 \[
 u_M^{(\alpha)}(a) \begin{cases}
\geq 0\,,&\text{ if $n-k$ is even,}\\
\leq 0\,,&\text{ if $n-k$ is odd.}
\end{cases}
\]
 \item If $\sigma_{\epsilon_j}<\alpha$, from
$\ell =0$ to $n-\sigma_{\epsilon_j}$, $\tilde T_{n-\ell}u_M(a)$ vanishes
$k-1-\sigma_{\epsilon_j}$ times. Again, let us assume that
$\tilde T_{n-\ell}u_M(a)\neq 0$ for $\ell<n-\sigma_{\epsilon_j}$ if
$n-\ell \notin\{\sigma_1,\dots,\sigma_k\}$. Then, with maximal oscillation,
we have
 \[
 \tilde T_{\sigma_{\epsilon_j}} u_M(a)\begin{cases}
\geq 0&\text{ if $n-\sigma_{\epsilon_j}-(k-1-\sigma_{\epsilon_j})=n-k+1$ is odd,}\\
\leq 0&\text{ if $n-k+1$ is even.}
\end{cases}
\]
Since $\sigma_{\epsilon_j}<\alpha$, from \eqref{Ec::Tl}, we have
 \[
\tilde T_{\sigma_{\epsilon_j}}u_M(a)
=\frac{u^{(\sigma_{\epsilon_j})}(a)}{v_1(a)\dots v_{\sigma_{\epsilon_j}}(a)}\,.
\]
In particular, if $\sigma_{\epsilon_j}<\mu$, then
$v_1(t)\dots v_{\sigma_{\epsilon_j}}(t)=1$.
Thus, with maximal oscillation:
 \[
 u_M^{(\sigma_{\epsilon_j})}(a) \begin{cases}
\geq 0\,,&\text{ if $n-k$ is even,}\\
\leq 0\,,&\text{ if $n-k$ is odd.}
\end{cases}
\]
\end{itemize}

 On the other hand, from $\ell=0$ to $n-\beta$,
$\tilde T_{n-\ell}u_M(b)$ vanishes $n-k-\beta$ times. We can also assume that
$\tilde T_{n-\ell} u_M(b)\neq 0$ if $n-\ell\notin\{\varepsilon_1,\dots,
\varepsilon_{n-k}|\beta\}$. Then, with maximal oscillation:
 \[
 \tilde T_{\beta} u_M(b) \begin{cases}
\geq 0\,,&\text{ if $n-k-\beta$ is odd,}\\
\leq 0\,,&\text{ if $n-k-\beta$ is even.}
\end{cases}
 \]
From \eqref{Ec::Tl}, we have that
 \[
\tilde T_\beta u_M(b)=\frac{u^{(\beta)}(b)}{v_1(b)\dots v_{\beta}(b)}\,.
\]
Thus:
 \begin{itemize}
 \item if $n-k$ is even, to set maximal oscillation, we need
 \[
 u_M^{(\beta)}(b) \begin{cases}
\leq 0\,,&\text{ if $\beta$ is even,}\\
\geq 0\,,&\text{ if $\beta$ is odd.}
\end{cases}
\]
 \item if $n-k$ is odd, to ensure maximal oscillation is necessary:
 \[
 u_M^{(\beta)}(b) \begin{cases}
\geq 0\,,&\text{ if $\beta$ is even,}\\
\leq 0\,,&\text{ if $\beta$ is odd.}
\end{cases}
 \]
 \end{itemize}

 Since, we are considering $u_M\geq 0$, it is known that
 \begin{equation}\label{Ec::uap}
 u_M^{(\alpha)}(a) \begin{cases}
\geq 0\,,&\text{ if $\sigma_{\epsilon_j}>\alpha$,}\\
\geq 0\,,&\text{ if $\sigma_{\epsilon_j}<\alpha$,}
\end{cases}
\end{equation}
 and
 \begin{equation}\label{Ec::ubp}
 u_M^{(\beta)}(b) \begin{cases}
\geq 0\,,&\text{if $\beta$ is even,}\\
 \leq 0\,,&\text{if $\beta$ is odd,}
\end{cases}
\end{equation}
Taking into account that if $k=1$, then $u^{(\beta)}_M(b)\neq 0$
for all $M\in \mathbb{R}$, we obtain the following conclusions
for $M\geq 0$:
 \begin{itemize}

\item If $n-k$ is odd and $\sigma_{\epsilon_j}>\alpha$, then $u_M\geq 0$
if $u_N^{(\alpha)}(a)\neq 0$ for all $N$ between $0$ and $M$;
i.e., up to an eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},
\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ is found.

 \item If $n-k$ is odd and $\sigma_{\epsilon_j}<\alpha$, then $u_M\geq 0$
if $u_N^{(\beta)}(b)\neq 0$ for all $N$ between $0$ and $M$;
i.e., up to an eigenvalue of
 $\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
\dots,\varepsilon_{n-k}\}}$ is found.

 \item If $n-k$ is even and $k>1$, then $u_M\geq 0$ up to
$u_M^{(\beta)}(b)=0$; i.e., up to an eigenvalue of $\tilde T_n[0]$ on
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},\dots,
\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$ is found.
 \item If $k=1$ and $n$ is odd, then $u_M\geq 0$ for all
$M\geq 0$.
 \end{itemize}

 Now, let us see what happens for $M\leq 0$. In this case, we have that
$\tilde T_n[0] u_M(t)=-M u_M(t)\geq 0$ for $t\in(a,b)$. Then,
$\tilde T_nu_M(a)\geq 0$ and $\tilde T_n u_M(b)\geq0$. Hence, we conclude
that with maximal oscillation, the inequalities are reversed from the case
 $M\geq 0$. So, we obtain that:
\begin{itemize}
 \item If $\sigma_{\epsilon_j}>\alpha$, with maximal oscillation
 \[
 u_M^{(\alpha)}(a) \begin{cases}
\leq 0\,,&\text{ if $n-k$ is even,}\\
\geq 0\,,&\text{ if $n-k$ is odd.}
\end{cases}
\]
 \item If $\sigma_{\epsilon_j}<\alpha$, with maximal oscillation
 \[
 u_M^{(\sigma_{\epsilon_j})}(a) \begin{cases}
\leq 0\,,&\text{ if $n-k$ is even,}\\
 \geq 0\,,&\text{ if $n-k$ is odd,}
\end{cases}
\]
 \end{itemize}
 and
 \begin{itemize}
 \item if $n-k$ is even, with maximal oscillation:
 \[
 u_M^{(\beta)}(b) \begin{cases}
\geq 0\,,&\text{ if $\beta$ is even,}\\
\leq 0\,,&\text{ if $\beta$ is odd.}
\end{cases}
\]
 \item If $n-k$ is odd, with maximal oscillation:
 \[
 u_M^{(\beta)}(b) \begin{cases}
\leq 0\,,&\text{ if $\beta$ is even,}\\
 \geq 0\,,&\text{ if $\beta$ is odd.}
\end{cases}
 \]
 \end{itemize}
 Then, taking into account that $u_M\geq 0$, \eqref{Ec::uap}
and \eqref{Ec::ubp} are also satisfied.

 Hence, using that if $k=1$, then $u^{(\beta)}_M(b)\neq 0$ for all
$M\in \mathbb{R}$, we obtain the following conclusions for $M\leq 0$:
 \begin{itemize}
 \item If $n-k$ is even and $\sigma_{\epsilon_j}>\alpha$, then
$u_M\geq 0$ if $u_N^{(\alpha)}(a)\neq 0$ for all $N$ between $0$ and $M$;
i.e., up to an eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},
\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ is found.

\item If $n-k$ is even and $\sigma_{\epsilon_j}<\alpha$, then $u_M\geq 0$
if $u_N^{(\sigma_{\epsilon_j})}(a)\neq 0$ for all $N$ between $0$ and $M$;
i.e., up to an eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}}$ is found.

 \item If $n-k$ is odd and $k>1$, then $u_M\geq 0$
if $u_N^{(\beta)}(b)\neq 0$ for all $N$ between $0$ and $M$;
i.e., up to an eigenvalue of $\tilde T_n[0]$ on
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},\dots,
\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$ is found.

 \item If $k=1$ and $n$ is even, then $u_M\geq 0$ for all $M\leq 0$.
 \end{itemize}
 The result is proved.
 \end{proof}

 \begin{proposition}\label{P::nh2}
 Let $u\in C^n(I)$ be a solution of $\tilde{T}[M] u(t)=0$ for $t\in (a,b)$,
which satisfies the boundary conditions
 \begin{equation} \label{Ec::cfym1}
\begin{gathered}
 u^{(\sigma_1)}(a)=\dots=u^{(\sigma_{k})}(a)=0\,,\\
 u^{(\varepsilon_1)}(b)=\cdots=u^{(\varepsilon_{\kappa_i-1})}(b)
=u^{(\varepsilon_{\kappa_i+1})}(b)=\cdots=u^{(\varepsilon_{n-k})}(b)
=0\,.
\end{gathered}
 \end{equation}
Then, $u$ does not have any zeros on $(a,b)$ provided that one of the
following assertions is fulfilled:
 \begin{itemize}
 \item If $n-k$ is even, $\varepsilon_{\kappa_i}>\beta$ and
$M\in[-\lambda_{\varepsilon_{\kappa_i}}^1,
-\lambda_{\varepsilon_{\kappa_i}}^2]$, where
 \begin{itemize}
 \item[*] $\lambda_{\varepsilon_{\kappa_i}}^1>0$ is the least positive eigenvalue
of $\tilde T_n[0]$ on the set \\
 $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{\kappa_i-1},
\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}|\beta\}}$,
 \item[*] $\lambda_{\varepsilon_{\kappa_i}}^2<0$ is the largest negative
eigenvalue of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}

 \item If $n-k$ is even, ${\varepsilon_{\kappa_i}}<\alpha$ and
$M\in[-\lambda_1,-\lambda_{\varepsilon_{\kappa_i}}^2]$, where
 \begin{itemize}
 \item[*] $\lambda_1>0$ is the least positive eigenvalue of
 $\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,
 \dots,\varepsilon_{n-k}\}}$,
 \item[*] $\lambda_{\varepsilon_{\kappa_i}}^2<0$ is the largest negative
 eigenvalue of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}


 \item If $n-k$ is odd, $k<n-1$, $\varepsilon_{\kappa_i}>\beta$ and
$M\in[-\lambda_{\varepsilon_{\kappa_i}}^2,-\lambda_{\varepsilon_{\kappa_i}}^1]$,
where
 \begin{itemize}
 \item[*] $\lambda_{\varepsilon_{\kappa_i}}^2>0$ is the least positive eigenvalue
of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}\}}$,
 \item[*] $\lambda_{\varepsilon_{\kappa_i}}^1<0$ is the largest negative
 eigenvalue of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}

 \item If $n-k$ is odd, $k<n-1$, ${\varepsilon_{\kappa_i}}<\alpha$ and
$M\in[-\lambda_{\varepsilon_{\kappa_i}}^2,-\lambda_1]$, where
 \begin{itemize}
 \item[*] $\lambda_{\varepsilon_{\kappa_i}}^2>0$ is the least positive
eigenvalue of $\tilde T_n[0]$ on the set \\
 $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}\}}$,
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of $\tilde T_n[0]$
 on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$ .
 \end{itemize}

 \item If $k=n-1$, ${\varepsilon_{\kappa_i}}>\alpha$ and
$M\in(-\infty,-\lambda_{\sigma_{\epsilon_j}}^1]$, where
 \begin{itemize}
 \item[*] $\lambda_{\varepsilon_{\kappa_i}}^1<0$ is the largest negative eigenvalue
 of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \item If $k=n-1$, ${\varepsilon_{\kappa_i}}<\alpha$ and $M\in\left(-\infty,-\lambda_1\right]$, where
 \begin{itemize}
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of $\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
\end{itemize}
 \end{itemize}
 \end{proposition}

 The proof of the above proposition is analogous to the proof of
Proposition \ref{P::nh1}, and is omitted here.
Now, we are in a position to prove a result which gives a relationship
on the eigenvalues of the different spaces
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},\dots,
\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
with the closest to zero eigenvalue of $\tilde T_n[0]$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
The result is the following.

 \begin{proposition}\label{P::ordaut1}
 Let ${{j_1}}\in \{{\epsilon_1},\dots,{\epsilon_\ell}\}$ be such that
$\alpha<\sigma_{{j_1}}$, then the following assertions are true:
 \begin{itemize}
 \item If $n-k$ is even, then $0<\lambda_1<\lambda_{\sigma_{j_1}}^1$, where
 \begin{itemize}
 \item[*] $\lambda_{\sigma_{j_1}}^1>0$ is the least positive eigenvalue of
$\tilde T_n[0]$ on the set \\
 $X_{\{\sigma_1,\dots,\sigma_{j_1-1},\sigma_{j_1+1},\dots,
\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item[*] $\lambda_1>0$ is the least positive eigenvalue of $\tilde T_n[0]$
on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \item If $n-k$ is odd, then $\lambda_{\sigma_{j_1}}^1<\lambda_1<0$, where
 \begin{itemize}
 \item[*] $\lambda_{\sigma_{j_1}}^1<0$ is the largest negative eigenvalue of
 $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_{j_1-1},\sigma_{j_1+1},\dots,
 \sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of $\tilde T_n[0]$
on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \end{itemize}
 \end{proposition}

 \begin{proof}
To prove this result, let us denote $v_M\in C^n(I)$ as a solution of
 $\tilde{T} [M] v_M(t)=0$ on $(a,b)$, coupled with the following boundary conditions
 \begin{equation}\label{Ec::CFAB1}
\begin{gathered}
 v_M^{(\sigma_j)}(a)=0\,,\quad j=0,\dots,k, \; j\neq j_1\,,\\
 v_M^{(\varepsilon_i)}(b)=0,\quad i=0,\dots,n-k\,.
\end{gathered}
 \end{equation}

Let us study $v_0$, with the arguments used before. We know that, without
taking into account the boundary conditions, $v_0$ has at most $n-1$ zeros.
However, from the boundary conditions \eqref{Ec::CFAB1}, we conclude that
$n-1$ possible oscillations are lost. Hence, since $v_0$ is a nontrivial
function, the boundary conditions for the maximal oscillation are verified.

Let us choose $v_0\geq 0$ (if $v_0\leq 0$, the arguments are valid by
multiplying by $-1$), then $v_0^{(\alpha)}(a)\geq 0$.
From \eqref{Ec::Tl} $T_{\alpha}v_0(a)$ also satisfies this inequality.

Let us study the sign of $v_M^{(\sigma_{j_1})}(a)$. Realize, that, to achieve
the maximal oscillation, $T_\ell v_M(a)$ must change its sign each time that
it is non null.

From $\ell=\alpha$ to $\sigma_{j_1}$, $T_\ell v_0(a)$ vanishes $j_1-1-\alpha$
 times, then, with maximal oscillation:
 \[
 T_{\sigma_{j_1}}v_0(a) \begin{cases}
> 0\,,&\text{if $\sigma_{j_1}-\alpha-(j_1-1-\alpha)=\sigma_{j_1}-j_1+1$ is even,}\\
< 0\,,&\text{if $\sigma_{j_1}-j_1+1$ is odd.}
\end{cases}
\]
 From the choice of $j_1\in\{\epsilon_1,\dots,\epsilon_\ell\}$, we can affirm that
 \begin{equation}\label{Ec::se1}
 v_0^{(\sigma_{j_1})}(a)\begin{cases}
< 0\,,&\text{if $\sigma_{j_1}-j_1$ is even,}\\
>0\,,&\text{if $\sigma_{j_1}-j_1$ is odd.}
\end{cases}
\end{equation}

Now, let us move with continuity on $M$ up to $-\lambda_{\sigma_{j_1}}$
and study the sign of $v_{-\lambda_{\sigma_{j_1}}^1}^{(\sigma_{j_1})}(a)$.

From Proposition \ref{P::nh1},  $v_{-\lambda_{\sigma_{j_1}}}>0$
on $(a,b)$. Moreover, $v_{-\lambda_{\sigma_{j_1}}}^{(\alpha)}(a)=0$.
Thus, with the calculations done before, we conclude that the maximal
oscillation is satisfied too.
So, we can study in this case the sign of
$v_{-\lambda_{\sigma_{j_1}}^1}^{(\sigma_{j_1})}(a)$.
Let us consider $\alpha_1\in\{0,\dots,n-1\}$, previously introduced in
the proof of Proposition 6.5. Since $v_{-\lambda_{\sigma_{j_1}}}\ge 0$ on $I$,
 we can affirm that $v_{-\lambda_{\sigma_{j_1}}}^{(\alpha_1)}(a)>0$.

 From $\ell=\alpha_1$ to $\sigma_{j_1}$, there are $j_1-\alpha_1$ zeros for
$T_\ell v_{-\lambda_{\sigma_{j_1}}^1}(a)$, then, with maximal oscillation:
 \[
 T_{\sigma_{j_1}}v_{-\lambda_{\sigma_{j_1}}^1}(a)\begin{cases}
> 0\,,&\text{if $\sigma_{j_1}-\alpha_1-(j_1-\alpha_1)=\sigma_{j_1}-j_1$ is even,}\\
< 0\,,&\text{if $\sigma_{j_1}-j_1$ is odd.}
\end{cases}
\]
From the choice of $j_1\in\{\epsilon_1,\dots,\epsilon_\ell\}$, we can affirm that
 \begin{equation}\label{Ec::se2}
 v_{-\lambda_{\sigma_{j_1}}^1}^{(\sigma_{j_1})}(a)\begin{cases}
> 0\,,&\text{if $\sigma_{j_1}-j_1$ is even,}\\
< 0\,,&\text{if $\sigma_{j_1}-j_1$ is odd.}
\end{cases}
\end{equation}
Hence, in this case, since we have been moving continuously on $M$,
 we can affirm that there exist $-\tilde \lambda_1$ between $0$ and
${-\lambda_{\sigma_{j_1}}^1}$ such that $v_{-\tilde \lambda_1}^{(\sigma_{j_1})}(a)=0$,
 i.e. we have proved the existence on an eigenvalue of $\tilde T_n[0]$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
between $0$ and ${-\lambda_{\sigma_{j_1}}^1}$, and the result is proved.
 \end{proof}

 In an analogous way, we can prove the following result for the eigenvalues of
$\tilde{T}[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}| \beta\}}$,
comparing them with the closest to zero eigenvalue on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \begin{proposition}\label{P::ordaut2}
 Let ${{i_1}}\in \{{\kappa_1}\,,\dots,\,{\kappa_h}\}$ be such that
$\varepsilon_{{i_1}}>\beta$, then the following assertions are true:
 \begin{itemize}

 \item If $n-k$ is even, then $0<\lambda_1<\lambda_{\varepsilon_{i_1}}^1$, where
 \begin{itemize}
 \item[*] $\lambda_{\varepsilon_{i_1}}^1>0$ is the least positive eigenvalue
of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,
\varepsilon_{i_1-1},\varepsilon_{i_1+1},\dots,\varepsilon_{n-k}|\beta\}}$.
 \item[*] $\lambda_1>0$ is the least positive eigenvalue of $\tilde T_n[0]$ on
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}


 \item If $n-k$ is odd, then $0>\lambda_1>\lambda_{\varepsilon_{i_1}}^1$, where
 \begin{itemize}
 \item[*] $\lambda_{\varepsilon_{i_1}}^1<0$ is the largest negative eigenvalue of
$\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{i_1-1},\varepsilon_{i_1+1},\dots,\varepsilon_{n-k}|\beta\}}$.
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of $\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
\end{itemize}
 \end{proposition}

 The proof of the above proposition is analogous to the one of
Proposition \ref{P::ordaut1}, and is omitted here.
Now, let us establish a comparison between the eigenvalues in the different
spaces $X_{\{\sigma_1,\dots,\sigma_{\epsilon_j-1},\sigma_{\epsilon_j+1},
\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}| \beta\}}$.

\begin{proposition}\label{P::ordaut3}
 Let $\sigma_{{j_1}},\sigma_{{j_2}}\in \{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}$ be such that $j_1<j_2$. Then the following
assertions are fulfilled:
 \begin{itemize}
 \item If $n-k$ is even and $k>1$, then
 $0>\lambda_{\sigma_{j_1}}^2>\lambda_{\sigma_{j_2}}^2$, where
 \begin{itemize}
 \item[*] $\lambda_{\sigma_{j_1}}^2<0$ is the largest negative eigenvalue of
$\tilde T_n[0]$ on the set \\
 $X_{\{\sigma_1,\dots,\sigma_{j_1-1},\sigma_{j_1+1},\dots,
 \sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \item[*] $\lambda_{\sigma_{j_2}}^2<0$ is the largest negative eigenvalue of
$\tilde T_n[0]$ on the set \\
 $X_{\{\sigma_1,\dots,\sigma_{j_2-1},\sigma_{j_2+1},
\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \item If $n-k$ is odd and $k>1$, then
 $0<\lambda_{\sigma_{j_1}}^2<\lambda_{\sigma_{j_2}}^2$, where
 \begin{itemize}
 \item[*] $\lambda_{\sigma_{j_1}}^2>0$ is the least positive eigenvalue of
  $\tilde T_n[0]$ on the set \\
 $X_{\{\sigma_1,\dots,\sigma_{j_1-1},\sigma_{j_1+1},\dots,
 \sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \item[*] $\lambda_{\sigma_{j_2}}^2>0$ is the least positive eigenvalue of
$\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_{j_2-1},\sigma_{j_2+1},\dots,
\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \end{itemize}
 \end{itemize}
 \end{proposition}

 \begin{proof}
 To prove this result, we denote by ${v_1}_M\in C^n(I)$  a solution of
$\tilde{T} [M]\,{v_1}_M(t)=0$ on $(a,b)$, coupled with the following boundary
conditions:
 \begin{equation}\label{Ec::CFAB3}
\begin{gathered}
 {v_1}_M^{(\sigma_j)}(a)=0\,,\; j=0,\dots,k,\quad \text{ if }j\neq j_1\,,\ j_2\,,\\
 {v_1}_M^{(\varepsilon_i)}(b)=0\,,\quad \text{ if } i=0,\dots,n-k\,,\\
 {v_1}_M^{(\beta)}(b)=0\,.
\end{gathered}
 \end{equation}
Again, from the boundary conditions \eqref{Ec::CFAB1}, to ensure that is
is a nontrivial solution, ${v_1}_0$ satisfies the conditions of maximal
 oscillation at $t=a$ and $t=b$.

 First, let us see what happens if $\sigma_{j_1}>\alpha$.
Let us choose ${v_1}_0\geq 0$ (if ${v_1}_0\leq 0$, then the arguments
are valid by multiplying by $-1$), then ${v_1}_0^{(\alpha)}(a)\geq 0$.
From \eqref{Ec::Tl} we have $T_{\alpha}{v_1}_0(a)\geq0$.

 To study the sign of $v_0^{(\sigma_{j_2})}(a)$, realize that, to achieve
the maximal oscillation, $T_\ell v_M(a)$ changes its sign each time that
it is non null.

 From $\ell=\alpha$ to $\sigma_{j_2}$, there are $j_2-2-\alpha$ zeros for
 $T_\ell {v_1}_0(a)$, then, with maximal oscillation:
 \[
 T_{\sigma_{j_2}}{v_1}_0(a) \begin{cases}
> 0\,,&\text{if $\sigma_{j_2}-\alpha-(j_2-2-\alpha)=\sigma_{j_2}-j_2+2$ is even,}\\
< 0\,,&\text{if $\sigma_{j_2}-j_2+2$ is odd.}
\end{cases}
\]
From the choice of $j_2\in\{\epsilon_1,\dots,\epsilon_\ell\}$, we can affirm that
 \begin{equation}\label{Ec::se3}
 {v_1}_0^{(\sigma_{j_2})}(a)
\begin{cases} > 0\,,&\text{if $\sigma_{j_2}-j_2$ is even,}\\
<0\,,&\text{if $\sigma_{j_2}-j_2$ is odd.}
\end{cases}
\end{equation}

Now, let us move with continuity on $M$ up to $-\lambda_{\sigma_{j_2}}^2$
and analyze the sign of ${v_1}_{-\lambda_{\sigma_{j_2}}^2}^{(\sigma_{j_2})}(a)$.
Let us denote $\bar{\lambda_2}=-\lambda_{\sigma_{j_2}}^2$, from
Proposition \ref{P::nh1}, it is known that ${v_1}_{\bar{\lambda_2}}>0$ on $(a,b)$.
Moreover, ${v_1}_{\bar{\lambda_2}}^{(\sigma_{j_1})}(a)=0$. Thus, since another
possible zero on the boundary will imply that ${v_1}_{\bar{\lambda_2}}\equiv 0$,
 we conclude that the maximal oscillation is satisfied too.

So, we can study, in this case, the sign of ${v_1}_{\bar{\lambda_2}}(a)$.
Since ${v_1}_{\bar{\lambda_2}}\ge 0$ on $I$, we can affirm that, as for $M=0$,
${v_1}_{\bar{\lambda_2}}^{(\alpha)}(a)>0$.

 From $\ell=\alpha$ to $\sigma_{j_2}$, there are $j_2-1-\alpha$ zeros for
$T_\ell {v_1}_{\bar{\lambda_2}}(a)$, then, with maximal oscillation:
 \[
 T_{\sigma_{j_2}}{v_1}_{\bar{\lambda_2}}(a) \begin{cases}
> 0\,,&\text{if $\sigma_{j_2}-\alpha-(j_2-1-\alpha)=\sigma_{j_2}-j_2+1$ is even,}\\
 < 0\,,&\text{if $\sigma_{j_2}-j_2+1$ is odd.}
\end{cases}
\]
From the choice of $j_2\in\{\epsilon_1,\dots,\epsilon_\ell\}$, we can affirm that
 \begin{equation}\label{Ec::se4}
 {v_1}_{-\lambda_{\sigma_{j_2}}^2}^{(\sigma_{j_2})}(a)\begin{cases}
< 0\,,&\text{if $\sigma_{j_2}-j_2$ is even,}\\
> 0\,,&\text{if $\sigma_{j_2}-j_2$ is odd.}
\end{cases}
\end{equation}

 Now, let us see what happens if $\sigma_{j_1}<\alpha<\sigma_{j_2}$.
In this case, $\sigma_{j_1}=j_1-1$.
For $M=0$, since ${v_1}_0\geq 0$, we have that ${v_1}_0^{(\sigma_{j_1})}(a)\ge0$.
From \eqref{Ec::Tl} we have that $T_{\sigma_{j_1}}{v_1}_0(a)\geq 0$.
Let us study the sign of ${v_1}_0^{(\sigma_{j_2})}(a)$ in this case.

 From $\ell=\sigma_{j_1}$ to $\sigma_{j_2}$, there are
$j_2-2-(j_1-1)=j_2-j_1-1$ zeros of $T_\ell {v_1}_0(a)$. Then, with maximal
oscillation:
 \[
 T_{\sigma_{j_2}}{v_1}_0(a) \begin{cases}
> 0\,,&\text{if $\sigma_{j_2}-j_1-1-(j_2-j_1-1)=\sigma_{j_2}-j_2$ is even,}\\
< 0\,,&\text{if $\sigma_{j_2}-j_2$ is odd.}
\end{cases}
\]
From the choice of $j_2\in\{\epsilon_1,\dots,\epsilon_\ell\}$, we can
affirm that \eqref{Ec::se3} holds.

 Now, we study the sign of ${v_1}_{\bar{\lambda_2}}(a)$ if the conditions
to allow the maximal oscillation hold.
Since ${v_1}_{-\lambda_{\sigma_{j_2}}^2}\ge 0$ on $I$, we can affirm that
 ${v_1}_{-\lambda_{\sigma_{j_1}}}^{(\alpha)}(a)>0$.
From $\ell=\alpha$ to $\sigma_{j_2}$, there are $j_2-1-\alpha$ zeros for
 $T_\ell {v_1}_{-\lambda_{\sigma_{j_2}}^2}(a)$, then, with maximal oscillation
and repeating the previous arguments, we obtain that \eqref{Ec::se4} is satisfied.


 Finally, let us study the case where $\sigma_{j_2}<\alpha$.
 In this situation, $\sigma_{j_1}=j_1-1$ and $\sigma_{j_2}=j_2-1$.
For $M=0$, since ${v_1}_0\geq 0$, we have that ${v_1}_0^{(\sigma_{j_1})}(a)\ge0$
and from \eqref{Ec::Tl} $T_{\alpha}{v_1}_0(a)\geq 0$.

Let us study the sign of ${v_1}_0^{(\sigma_{j_2})}(a)$ in this situation.
Since $\alpha>\sigma_{j_2}$, for all $\ell =\sigma_{j_1}\,,\dots,\,,\sigma_{j_2}$,
we have that $\tilde T_\ell {v_1}_0(a)=0$. So, to allow the maximal oscillation,
it must be satisfied that $T_{\sigma_{j_2}}{v_1}_0(a)<0$. And this inequality
also holds for ${v_1}_0^{(\sigma_{j_2})}(a)$.
In this case, for $M=-\lambda_{\sigma_{j_2}}^2$, since
${v_1}_{-\lambda_{\sigma_{j_2}^2}}>0$ on $(a,b)$ and
${v_1}_{-\lambda_{\sigma_{j_2}^2}}^{(\sigma_{j_1})}(a)=0$, we have that
${v_1}_{-\lambda_{\sigma_{j_2}}^2}^{(\sigma_{j_2})}(a)>0$.

 Hence, in all the cases, since we have been moving continuously on $M$,
 we can affirm that there exists $-\tilde \lambda_1$ lying between $0$ and
${-\lambda_{\sigma_{j_2}}^2}$, such that
${v_1}_{-\tilde \lambda_1}^{(\sigma_{j_2})}(a)=0$. As consequence, we have
 proved the existence on an eigenvalue of $\tilde T_n[0]$ on
$X_{\{\sigma_1,\dots,\sigma_{j_1-1},\sigma_{j_1+1},
\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$
between $0$ and ${-\lambda_{\sigma_{j_2}}^2}$, and the result is proved.
 \end{proof}

 Before introducing the final result which characterizes the strongly inverse positive (negative) character in the different spaces $X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$, we show a result which gives an order on the eigenvalues associated to different spaces $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{\kappa_i-1},\varepsilon_{\kappa_i+1},\dots,\varepsilon_{n-k}\}}$.

 \begin{proposition}\label{P::ordaut4}
 Let $i_1,i_2\in \{\kappa_1,\dots,\kappa_h\}$ be such that if
$i_1<i_2$, then the following assertions hold:
 \begin{itemize}
 \item If $n-k$ is even, then
 $0>\lambda_{\varepsilon_{i_1}}^2>\lambda_{\varepsilon_{i_2}}^2$, where
 \begin{itemize}
 \item[*] $\lambda_{\varepsilon_{i_1}}^2<0$ is the largest negative eigenvalue of
 $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{i_1-1},\varepsilon_{i_1+1},\dots,\varepsilon_{n-k}\}}$.
 \item[*] $\lambda_{\varepsilon_{i_2}}^2<0$ is the largest negative eigenvalue of
$\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{i_2-1},\varepsilon_{i_2+1},\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \item If $n-k$ is odd and $k<n-1$, then
 $0<\lambda_{\varepsilon_{i_1}}^2<\lambda_{\varepsilon_{i_2}}^2$, where
 \begin{itemize}
 \item[*] $\lambda_{\varepsilon_{i_1}}^2>0$ is the least positive eigenvalue of
 $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
\varepsilon_{i_1-1},\varepsilon_{i_1+1},\dots,\varepsilon_{n-k}\}}$.
 \item[*] $\lambda_{\varepsilon_{i_2}}^2>0$ is the least positive eigenvalue
of $\tilde T_n[0]$ on the set  \\
$X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{i_2-1},\varepsilon_{i_2+1},\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \end{itemize}
 \end{proposition}

 The proof of the above proposition follows the same structure and arguments as
Proposition \ref{P::ordaut3}, and is omitted here.
 Once we have obtained the previous results, which allow us to characterize
the constant sign of the functions $x_M^{\sigma_{\epsilon_j}}$ and
$z_M^{\varepsilon_{\kappa_i}}$ for $j=1,\dots,\ell$ and $i=0,\dots,h$,
respectively, we can obtain a characterization of the strongly inverse
positive (negative) character of operator $\tilde T_n[M]$ in the spaces
$X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$
as follows.

 \begin{theorem}\label{T::IPNH2}
 If $n-k$ is even, then the operator $\tilde{T}[M]$ is strongly inverse positive
on $X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$
if and only if one of the following assertions is satisfied:
 \begin{itemize}
 \item If $k>1$ and $M\in(-\lambda_1,-\lambda_2]$, where:
 \begin{itemize}
 \item[*] $\lambda_1>0$ is the least positive eigenvalue of $\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item[*] $\lambda_2<0$ is the maximum between,
 \begin{itemize}
 \item[·] $\lambda_{\sigma_{\epsilon_1}}^2<0$, the largest negative eigenvalue
 of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_1-1},\sigma_{\epsilon_1+1},\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \item[·] $\lambda_{\varepsilon_{\kappa_1}}^2<0$, the largest negative
 eigenvalue of $\tilde T_n[0]$ on the set
 $X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,\dots,
 \varepsilon_{\kappa_1-1},\varepsilon_{\kappa_1+1},\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \end{itemize}
 \item If $k=1$ and $M\in(-\lambda_1,-\lambda_2]$, where:
 \begin{itemize}
 \item[*] $\lambda_1>0$ is the least positive eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$.

 \item[*] $\lambda_2=\lambda_{\varepsilon_{\kappa_1}}^2<0$, the largest negative
eigenvalue of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{\kappa_1-1},
\varepsilon_{\kappa_1+1},\dots,\varepsilon_{n-1}\}}$.
 \end{itemize}
\end{itemize}

 If $n-k$ is odd, then the operator $\tilde{T}[M]$ is strongly inverse negative
on the set \\
$X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$
if and only if one of the following assertions is satisfied:
 \begin{itemize}
 \item If $1<k<n-1$ and $M\in[-\lambda_2,-\lambda_1)$, where:
 \begin{itemize}
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of $\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}\}}$.
 \item[*] $\lambda_2>0$ is the minimum between,
 \begin{itemize}
 \item[·] $\lambda_{\sigma_{\epsilon_1}}^2>0$, the least positive eigenvalue of
 $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_1-1},\sigma_{\epsilon_1+1},\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
 \item[·] $\lambda_{\varepsilon_{\kappa_1}}^2>0$, the least positive eigenvalue of
 $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1,\dots,\sigma_k|\alpha\}}^{\{\varepsilon_1,
 \dots,\varepsilon_{\kappa_1-1},\varepsilon_{\kappa_1+1},\dots,\varepsilon_{n-k}\}}$.
 \end{itemize}
 \end{itemize}
 \item If $k=1<n-1$ and $M\in[-\lambda_2,-\lambda_1)$, where:
 \begin{itemize}
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of
 $\tilde T_n[0]$ on $X_{\{\sigma_1\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-1}\}}$.

 \item[*] $\lambda_2=\lambda_{\varepsilon_{\kappa_1}}^2>0$ is the least positive
 eigenvalue of $\tilde T_n[0]$ on the set \\
$X_{\{\sigma_1|\alpha\}}^{\{\varepsilon_1,\dots,\varepsilon_{\kappa_1-1},
 \varepsilon_{\kappa_1+1},\dots,\varepsilon_{n-1}\}}$.
 \end{itemize}
 \item If $1<k=n-1$ and $M\in[-\lambda_2,-\lambda_1)$, where:
 \begin{itemize}
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1,\dots,\sigma_{n-1}\}}^{\{\varepsilon_1\}}$.
 \item[*] $\lambda_2=\lambda_{\sigma_{\epsilon_1}}^2>0$, the least positive
eigenvalue of $\tilde T_n[0]$ on the set  \\
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_1-1},\sigma_{\epsilon_1+1},\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.

 \end{itemize}
 \item If $n=2$ and $M\in(-\infty,-\lambda_1)$, where:
 \begin{itemize}
 \item[*] $\lambda_1<0$ is the largest negative eigenvalue of
$\tilde T_n[0]$ on $X_{\{\sigma_1\}}^{\{\varepsilon_1\}}$.
 \end{itemize}
 \end{itemize}
 \end{theorem}

 \begin{proof}
 From Lemma \ref{L::14-1}, we only have to study the sign of $g_M(t,s)$,
$x_M^{\sigma_{\epsilon_j}}$ for $j=0,\dots,\ell$ and $z_M^{\varepsilon_{\kappa_i}}$
for $i=0,\dots,h$.

 First, let us see that if $M$ belongs to the given intervals, then the operator
 is strongly inverse positive or negative in each case. And, finally, we will
see that this interval cannot be increased.
Taking into account Theorem \ref{T::IPN}, $(-1)^{n-k}g_M(t,s)>0$ on the given
intervals. Moreover, if either $n-k$ is even and $M<0$ or $n-k$ is odd and $M>0$,
the intervals cannot be increased.

 Now, let us study the sign of $x_0^{\sigma_{\epsilon_j}}$ and
$z_0^{\sigma_{\kappa_i}}$.

 It is known that $x_M^{\sigma_{\epsilon_j}}$ satisfies the boundary
conditions \eqref{Ec::CFAB1} introduced in the proof of Proposition
\ref{P::ordaut1}. Then, for $M=0$, the maximal oscillation is satisfied.
So, we can study the sign of ${x_0^{\sigma_{\epsilon_j}}}^{(\sigma_{\epsilon_j})}$
taking into account that ${x_0^{\sigma_{\epsilon_j}}}^{(\sigma_{\epsilon_j})}(a)=1$.

 If $\sigma_{\epsilon_j}<\alpha$, then $x_0^{\sigma_{\epsilon_j}}>0$.

 If $\sigma_{\epsilon_j}>\alpha$, from $\ell = \alpha$ to $\sigma_{\epsilon_j}$,
there are $\epsilon_j-1-\alpha$ zeros for $T_{\ell}x_0^{\sigma_{\epsilon_j}}(a)$.

From the choice of $\epsilon_j$, we have that
$T_{\sigma_{\epsilon_j}}x_0^{\sigma_{\epsilon_j}}(a)>0$. So, to have maximal
oscillation, we need
 \[
 T_{\alpha}x_0^{\sigma_{\epsilon_j}}(a) \begin{cases}
>0\,,& \text{ if $\sigma_{\epsilon_j}-\alpha-(\epsilon_j-1-\alpha)
=\sigma_{\epsilon_j}-\epsilon_j+1$ is even,}\\
<0\,,& \text{ if $\sigma_{\epsilon_j}-\epsilon_j+1$ is odd.}
\end{cases}
\]
These inequalities are also satisfied by
${x_0^{\sigma_{\epsilon_j}}}^{(\alpha)}(a)$, thus
 \begin{equation}\label{Ec::x0sign}
 {x_0^{\sigma_{\epsilon_j}}} \begin{cases}
>0\ \text{on $I$,}& \text{ if $\sigma_{\epsilon_j}-\epsilon_j+1$ is even,}\\
<0\ \text{on $I$,}& \text{ if $\sigma_{\epsilon_j}-\epsilon_j+1$ is odd.}
\end{cases}
\end{equation}
Note that if $\sigma_{\epsilon_j}<\alpha$, then $\sigma_{\epsilon_j}=\epsilon_j-1$.
Hence, $\sigma_{\epsilon_j}-\epsilon_j+1=0$ is an even number.
Thus, equation \eqref{Ec::x0sign} is satisfied for all $\sigma_{\epsilon_j}$,
with $j=1,\dots,\ell$.

 Moreover, from Propositions \ref{P::nh1}, \ref{P::ordaut1} and \ref{P::ordaut3},
inequalities \eqref{Ec::x0sign} are satisfied on the whole intervals given
in the result. Thus, for those $M$, we have
 \begin{equation}
 (-1)^{n-\sigma_{\epsilon_j}-(k-j)+1}{x_M^{\sigma_{\epsilon_j}}} \begin{cases}
>0 \text{ on } I,& \text{ if $n-k$ is even,}\\
<0 \text{ on }I,& \text{ if $n-k$ is odd.}
\end{cases}
\end{equation}

 In an analogous way, we can study $z_M^{\varepsilon_{\kappa_i}}$ to conclude
that for all $M$ on the intervals given on the result, it is satisfied:
 \begin{equation}
 (-1)^{n-k-\kappa_i+1}{z_0^{\varepsilon_{\kappa_i}}} \begin{cases}
>0\,,& \text{if $n-k$ is even,}\\
<0\,,& \text{if $n-k$ is odd.}
\end{cases}
\end{equation}

 So, we have proved that if $M$ belongs to those intervals, operator
$\tilde T_n[M]$ is strongly inverse negative (positive). Moreover, we have
also seen that if either $n-k$ is even and $M<0$ or $n-k$ is odd and $M>0$
the intervals cannot be increased, since $g_M$ is not of constant sign. So,
we only need to prove that if $n-k$ is even and $M>0$ or $n-k$ is odd and $M<0$
the intervals cannot be increased too.
To this end, we study the functions $x_M^{\sigma_{\epsilon_1}}$ and
$z_M^{\varepsilon_{\kappa_1}}$. In particular, we will verify that if either
 $k\neq 1$ or $k\neq n-1$, one of them must necessarily change its sign
for $M>-\lambda_2$ if $n-k$ is even or for $M<-\lambda_2$ if $n-k$ is odd.

 If $\sigma_{\epsilon_1}=\sigma_k$ and $\varepsilon_{\kappa_1}=\varepsilon_{n-k}$
the result follows from Theorem \ref{T::IPNH}. Otherwise, either
$\lambda_2=\lambda_{\sigma_{\epsilon_1}}$ or
 $\lambda_2=\lambda_{\varepsilon_{\kappa_1}}$.

First, let us assume that $n-k$ is even. Suppose that there exists $M^*>-\lambda_2$
such that $\tilde T_n[M]$ is inverse positive on
$X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$.
We will arrive to a contradiction.

 If $\lambda_2=\lambda_{\sigma_{\epsilon_1}}$, let us consider the function
$x_M^1(t)=(-1)^{n-\sigma_{\epsilon_j}-(k-j)+1}{x_M^{\sigma_{\epsilon_1}}}(t)$.
Trivially, $x_M^1\in X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},
\dots,\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,
\varepsilon_{\kappa_h}\}}}$ and $\tilde{T} [M^*]x_{M^*}^1(t)=0$.
Then, we have that $x_{M^*}^1\geq 0$ on $I$.

 Let us see that necessarily $x_0^1\geq x_{-\lambda_2}^1\geq x_{M^*}^1$ on $I$.
Indeed, let us construct the  sequence
 \[
\alpha_0=x_0^1\,,\quad \tilde T_n[M^*]\alpha_{n+1}=(M^*+\lambda_2)\alpha_n,\quad
 n\geq 0\,,
\]
 where $\alpha_n^{(\sigma_j)}(a)=0$, if $j\neq \epsilon_1$ for $j=1,\dots,k$,
$\alpha_n^{(\sigma_{\epsilon_1})}(a)=(-1)^{n-\sigma_{\epsilon_1}-(k-\epsilon_1)+1}$
and $\alpha_n^{(\varepsilon_i)}(b)=0$ for $i=1,\dots,\,n-k$.
In particular, $\alpha_n\in X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},
\dots,\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$
for $n=0,1,\dots$

 Let us see that this sequence is non-increasing and bounded from below by zero
clearly.
\[
\tilde T [M^*]\,\alpha_1=(M^*+\lambda_2)\,x_0^1\geq 0\,.
\]
Since $\alpha_1\in X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},
\dots,\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$
and we are working under the assumption that $\tilde T [M^*]$ is inverse positive
in such set, we have that $\alpha_1\geq 0$.
Now, $\tilde T_n[M^*](\alpha_0-\alpha_1)=-\lambda_2\,x_0^1\geq 0$.
In this case $\frac{d^{\sigma_j}}{dt^{\sigma_j}}(\alpha_0-\alpha_1)\big|_{t=a}=0$
for $j=1,\dots,k$ and
$\frac{d^{\varepsilon_i}}{dt^{\varepsilon_i}}(\alpha_0-\alpha_1)\big|_{t=b}=0$
for $i=1,\dots,n-k$, then
$\alpha_0-\alpha_1\in X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},
\dots,\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}
\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$.
So, $\alpha_0\geq \alpha_1$.

 Proceeding analogously for $n\geq 1$, we obtain that $\{\alpha_n\}$
is a non-increasing and nonnegative sequence.

 Now, let us consider the  sequence
 \[
\beta_0=x_{M^*}^1\,,\quad \tilde T_n[M^*]\,\beta_{n+1}=(M^*+\lambda_2)\beta_n\,,\;
 n\geq 0\,,
\]
where $\beta_n^{(\sigma_j)}(a)=0$, if $j\neq \epsilon_1$ for $j=1,\dots,\,k$,
 $\beta_n^{(\sigma_{\epsilon_1})}(a)=(-1)^{n-\sigma_{\epsilon_1}-(k-\epsilon_1)+1}$
and $\beta_n^{(\varepsilon_i)}(b)=0$ for $i=1,\dots,\,n-k$.
 As consequence, $\beta_n\in X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},
\dots,\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$
for $n=0,1,\dots$.

 Let us check that this sequence is nondecreasing.
By definition, $\tilde T_n[M^*](\beta_1-\beta_0)=(M^*+\lambda_2)x_{M^*}^1\geq 0$.
In this case, $\frac{d^{\sigma_j}}{dt^{\sigma_j}}(\beta_1-\beta_0)\big|_{t=a}=0$
for $j=1,\dots,k$ and $\frac{d^{\varepsilon_j}}{dt^{\varepsilon_j}}
(\beta_1-\beta_0)\big|_{t=b}=0$ for $i=1,\dots,n-k$, then
 $\beta_1-\beta_0\in X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},
\dots,\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$.
So, $\beta_1\geq\beta_0$.

 Analogously, for $n\geq 1$, we conclude that $\{\beta_n\}$ is a nondecreasing
sequence. Moreover, by properties of the related Green's function, which
is continuous on $I\times I$, it is bounded from above.

 Since $\tilde T_n[-\lambda_2]$ is strongly inverse positive on
$X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$,
$x_{-\lambda_2}^1$ is the unique solution of $\tilde T_n[-\lambda_2]u(t)=0$,
 coupled with the boundary conditions imposed to $\alpha_n$ and $\beta_n$.
Thus, we can affirm that
 \[
\lim_{n\to \infty}\alpha_n=\lim_{n\to\infty}\beta_n=x_{-\lambda_2}^1\,,
\]
 and $\alpha_0=x_0^1\geq x_{-\lambda_2}^1\geq x_{M^*}^1= \beta_0\geq 0$ on $I$.

 Repeating the previous arguments, we can conclude that for all
$M\in [-\lambda_2,M^*]$, we have:
 \begin{equation}\label{Ec::x1d}
x_{-\lambda_2}^1\geq x_M^1\geq x_{M^*}^1 \geq 0\quad \text{on } I\,.
\end{equation}
On the other hand, it is known that ${x_{-\lambda_2}^1}^{(\beta)}(b)=0$.
From inequality \eqref{Ec::x1d}, we have ${x_{M}^1}^{(\beta)}(b)=0$
for all $M\in [-\lambda_2,M^*]$, which contradicts the discrete character
of the spectrum $\tilde T_n[0]$ on
$X_{\{\sigma_1,\dots,\sigma_{\epsilon_1-1},\sigma_{\epsilon_1+1},\dots,\sigma_k\}}^{\{\varepsilon_1,\dots,\varepsilon_{n-k}|\beta\}}$.
Thus, we arrive to a contradiction by supposing that there exists
$M^*>-\lambda_2$ such that $\tilde T_n[M^*]$ is inverse positive on
$X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$.

 Analogously, if $\lambda_2=\lambda_{\varepsilon_{\kappa_1}}$, it can be
 proved that there does not exist any $M^*>-\lambda_2$ such that
 $\tilde T_n[M^*]$ is inverse positive on
$X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$.


Finally, we can proceed analogously when $n-k$ is odd to conclude that there
is no $M^*<-\lambda_2$ such that $\tilde T_n[M^*]$ is inverse negative on
$X_{\{\sigma_1,\dots,\sigma_k\}_{\{\sigma_{\epsilon_1},\dots,
\sigma_{\epsilon_\ell}\}}}^{\{\varepsilon_1,\dots,
\varepsilon_{n-k}\}_{\{\varepsilon_{\kappa_1},\dots,\varepsilon_{\kappa_h}\}}}$.
 \end{proof}

 \subsection{Particular cases}

This section is devoted to show the applicability of the previous results
to some examples.
Note that most of the examples given in Section \ref{SS::Ex} follow
the structure given on this section. So, we will be able to obtain the
characterization of the strongly inverse positive (negative) character
for those operators in different spaces with non homogeneous boundary conditions.


$\bullet$ $n^{\mathrm{th}}$-order operators with $(k,n-k)$ boundary conditions.
 In this case $\mu=\max\{\alpha_2,\beta_2\}=-1$. So, since the largest set
where we can apply Theorem \ref{T::IPNH2} is
$X_{\{0,\dots,k-1\}_{\{k-1\}}}^{\{0,\dots,n-k-1\}_{\{n-k-1\}}}$,
Theorem \ref{T::IPNH2} is equivalent to Theorem \ref{T::IPNH}.
However, in many cases, we can be under the conditions of Remark
\ref{R::16} which allows us to apply Theorem \ref{T::IPNH2}
in bigger sets with more non homogeneous boundary conditions.


$\bullet$ Operator $T_4(p_1,p_2)[M] u(t)=u^{(4)}(t)+p_1(t)
 u^{(3)}(t)+p_2(t) u^{(2)}(t)+M u(t)$ on $X_{\{0,2\}}^{\{0,2\}}$.
 The study of this type of operators on
 $X_{\{0,2\}_{\{2\}}}^{\{0,2\}^{\{2\}}}$ can be deduced from Theorem \ref{T::IPNH}.
But, in such a case, since $\mu=\max\{\alpha_2,\beta_2\}=1$, by
studying the different eigenvalues, we can characterize the strongly
inverse positive character of $T_4(p_1,p_2)[M]$ in the different subsets
of $X_{\{0,2\}_{\{0,2\}}}^{\{0,2\}_{\{0,2\}}}$.
Let us consider, for instance, the operator
 \begin{equation*}
 T_4[p,M] u(t)\equiv u^{(4)}(t)-p u''(t)+M u(t)\,,\quad t\in I\equiv [a,b]\,,
 \end{equation*}
 where $p\geq 0$.
In \cite{CabSaa2}, there are obtained some of the related eigenvalues:
 \begin{itemize}
 \item The least positive eigenvalue of $T_4[p,0]$ on
 $X_{\{0,2\}}^{\{0,2\}}$ is
 $\lambda_1^p=\big(\frac{\pi}{b-a}\big) ^4+p\,\big(\frac{\pi}{b-a}\big) ^2$.

 \item The largest negative eigenvalue of $T_4[p,0]$ on
$X_{\{0\}}^{\{0,1,2\}}$ and on $X_{\{0,1,2\}}^{\{0\}}$ coincide and are
 $-\lambda_2^p$, where $\lambda_2^p$ is the least positive solution of
 \[
\frac{ \tan \Big(\frac{b-a}{2}\sqrt{2\sqrt{\lambda}-p} \Big)}
{\sqrt{2\sqrt{\lambda}-p}}
=\frac{ \tanh \Big(\frac{b-a}{2}\sqrt{2\sqrt{\lambda}+p} \Big)}
{\sqrt{2\sqrt{\lambda}+p}}\,.
\]
 \end{itemize}
Now, let us obtain the missing eigenvalues:
\begin{itemize}
 \item The largest negative eigenvalues of $T_4[p,0]$ on
$X_{\{2\}}^{\{0,1,2\}}$ and on $X_{\{0,1,2\}}^{\{2\}}$ coincide and are given by
$-\lambda_{2_0}^p$, where $\lambda_{2_0}^p$ is the least positive solution of
 \[
\frac{ \tan \Big(\frac{b-a}{2}\sqrt{2\sqrt{\lambda}-p} \Big)}
{\sqrt{2\sqrt{\lambda}-p}}
+\frac{ \tanh \Big(\frac{b-a}{2}\sqrt{2\sqrt{\lambda}+p} \Big)}
{\sqrt{2\sqrt{\lambda}+p}}=0\,.
\]
 \end{itemize}
Thus, we obtain the following conclusions:
 \begin{itemize}
 \item $T_4[p,M]$ is strongly inverse positive on
$X_{\{0,2\}_{\{2\}}}^{\{0,2\}_{\{2\}}}$ if and only if
$M\in (-\lambda_1^p,\lambda_2^p]$.

 \item $T_4[p,M]$ is strongly inverse positive on
$X_{\{0,2\}_{\{0,2\}}}^{\{0,2\}_{\{0,2\}}}$ if and only if
$M\in (-\lambda_1^p,\lambda_{2_0}^p]$.
 \end{itemize}


$\bullet$  Operator $T_n^0[M] u(t)=u^{(n)}(t)+M u(t)$.
Now we treat some of this types of problems which have been introduced
in Section \ref{SS::Ex}.
\smallskip

\noindent\textbf{Second order.}
The only possibility in this case is to consider $k=1$. Then,
 the characterization is obtained by applying Theorem \ref{T::IPNH}
and the parameters set for the strongly inverse positive character is
the same as in the homogeneous case which has been obtained
in Section \ref{SS::Ex}.
\smallskip

\noindent\textbf{Third order.}
Let us consider, for instance, $\{\sigma_1,\sigma_2\}=\{1,2\}$ and
$\{\varepsilon_1\}=\{0\}$. In such a case,
$\mu=\max\{\alpha_2,\beta_2\}=\max\{-1,0\}=0$. Then, we obtain the
characterization on $X_{\{1,2\}_{\{2\}}}^{\{0\}_{\{0\}}}$ from Theorem
\ref{T::IPNH} or Theorem \ref{T::IPNH2} equivalently.

From Remark \ref{R::16}, we are able to obtain the characterization on
 $X_{\{1,2\}_{\{1,2\}}}^{\{0\}^{\{0\}}}$ given as follows:
$T_3^0[M]$ is strongly inverse negative on
 $X_{\{1,2\}_{\{1,2\}}}^{\{0\}^{\{0\}}}$ if and only if
$M\in[-\lambda_2,-\lambda_1)$ where $\lambda_1=-m_4^3$, with
$m_4\approxeq 1.85$ the least positive solution of \eqref{Ec::m4},
is the largest negative eigenvalue of $T_3^0[0]$ on $X_{\{1,2\}}^{\{0\}}$ and
$\lambda_2=m_7$, with $m_7\approxeq 1.84981$ the least positive solution of
 \[
2 e^{3 m/2} \cos \big(\frac{\sqrt{3} m}{2}\big)+1=0\,,
\]
is the least positive eigenvalue of $T_3^0[0]$ on $X_{\{2\}}^{\{0,1\}}$.
\smallskip

\noindent\textbf{Fourth order.}
 Let us consider again fourth-order problems introduced in
Section \ref{SS::Ex}, $X_{\{0\}}^{\{1,2,3\}}$ and $X_{\{0,2\}}^{\{1,3\}}$.
In the first case we cannot apply directly Theorem \ref{T::IPNH2},
since $\mu=0$. However, with the same argument as in Remark \ref{R::16},
Theorem \ref{T::IPNH2} is still true for
$\sigma_{\epsilon_{\ell-1}}\geq\mu$ or $\varepsilon_{\kappa_{h-1}}\geq\mu$.
\begin{itemize}
 \item  The largest negative eigenvalue of $T_4^0[0]$ on
$X_{\{0\}}^{\{1,2,3\}}$ is $\lambda_1=-\frac{\pi^4}{4}$.

\item  The least positive eigenvalue of $T_4^0[0]$ on
$X_{\{0,1\}}^{\{0,3\}}$ is $\lambda_1^2=\pi^4$

 \item  The least positive eigenvalue of $T_4^0[0]$ on
$X_{\{0,1\}}^{\{1,3\}}$ is $\lambda_0^2=m_1^4$, where
$m_1\approxeq 2.36502$ is the least positive solution of \eqref{Ec::Ex61}.
 \end{itemize}
Thus, we conclude that $T_4^0[M]$ is strongly inverse negative on
$X_{\{0\}_{\{0\}}}^{\{1,2,3\}_{\{2,3\}}}$ if and only if
$M\in [ -\pi^4,\frac{\pi^4}{4}) $.
Moreover, $T_4^0[M]$ is strongly inverse negative on
$X_{\{0\}_{\{0\}}}^{\{1,2,3\}_{\{1,2,3\}}}$ if and only if
 $M\in [ -m_1^4,\frac{\pi^4}{4}) $.

 For $X_{\{0,2\}}^{\{1,3\}}$, we have $\mu=\max\{1,2\}=2$. Let us study
the strongly inverse positive character on
$X_{\{0,2\}_{\{0,2\}}}^{\{1,3\}_{\{1,3\}}}$.
\begin{itemize}
\item The least positive eigenvalue of $T_4^0[0]$ on
$X_{\{0,2\}}^{\{1,3\}}$ is $\lambda_1=\frac{\pi^4}{16}$.

 \item The largest negative eigenvalue of $T_4^0[0]$ on
$X_{\{2\}}^{\{0,1,3\}}$ is $\lambda_0^2=-\frac{\pi^4}{4}$

 \item The largest negative eigenvalue of $T_4^0[0]$ on
$X_{\{0,1,2\}}^{\{1\}}$ is $\lambda_1^2=-4\pi^4$.
 \end{itemize}
Thus, $\lambda_2=-\frac{\pi^4}{4}$ and we can conclude that
 $T_4^0[M]$ is strongly inverse positive on
$X_{\{0,2\}_{\{0,2\}}}^{\{1,3\}_{\{1,3\}}}$ if and only if
$M\in( -\frac{\pi^4}{16},\frac{\pi^4}{4}] $.
\smallskip

\noindent\textbf{Higher order.}
 Now, let us analyze the sixth order operator given in Subsection \ref{SS::Ex}.
That is, the operator $T_6^0[M]$ defined on $X_{\{0,2,4\}}^{\{0,2,4\}}$.
In this case, $\mu=\max\{3,3\}=3$, so we can apply Theorem \ref{T::IPNH2}
 in different spaces.
 Let us obtain the different eigenvalues:
\begin{itemize}
 \item The largest negative eigenvalue of $T_6^0[0]$ on
$X_{\{0,2,4\}}^{\{0,2,4\}}$ is $\lambda_1=-\pi^6$.
 \item  The least positive eigenvalue of $T_6^0[0]$ on
$X_{\{0,4\}}^{\{0,1,2,4\}}$ is $\lambda_2^2=m_8^6$, where
$m_8\approxeq 4.14577$ is the least positive solution of
\begin{align*}
&\sqrt{3} e^{m/2} \left(e^{2 m}+1\right)-3 \left(e^m+1\right)^2
\left(e^m-1\right) \sin \big(\frac{\sqrt{3} m}{2}\big)\\
&+\sqrt{3} \left(e^m+1\right) \left(e^m-1\right)^2
 \cos \big(\frac{\sqrt{3} m}{2}\big)-2 \sqrt{3} e^{3 m/2}
 \cos \big(\sqrt{3} m\big)=0\,.
 \end{align*}

\item [$\bullet$] The least positive eigenvalue of $T_6^0[0]$ on
$X_{\{0,1,2,4\}}^{\{0,4\}}$ is $\lambda_2^2=m_8^6$.

\item The least positive eigenvalue of $T_6^0[0]$ on
$X_{\{2,4\}}^{\{0,1,2,4\}}$ is $\lambda_0^2=m_9^6$, where
$m_9\approxeq 3.17334$ is the least positive solution of
\begin{align*}
&-\sqrt{3} e^{m/2} \left(e^{2 m}+1\right)
 -3 \left(e^m+1\right)^2 \left(e^m-1\right)
 \sin \big(\frac{\sqrt{3} m}{2}\big)\\
&-\sqrt{3} \left(e^m+1\right) \left(e^m-1\right)^2
 \cos \big(\frac{\sqrt{3} m}{2}\big)+2 \sqrt{3} e^{3 m/2}
 \cos \big(\sqrt{3} m\big)=0\,.
 \end{align*}

 \item The least positive eigenvalue of $T_6^0[0]$ on
$X_{\{0,1,2,4\}}^{\{2,4\}}$ is $\lambda_0^2=m_9^6$.
 \end{itemize}

 Thus, we conclude that $T_6^0[M]$ is strongly inverse negative on
$X_{\{0,2,4\}_{\{2,4\}}}^{\{0,2,4\}_{\{2,4\}}}$ if and only if
$M\in [-m_8^6,\pi^6)$. Moreover, $T_6^0[M]$ is strongly inverse negative
 on $X_{\{0,2,4\}_{\{0,2,4\}}}^{\{0,2,4\}_{\{0,2,4\}}}$ if and only if
 $M\in [-m_9^6,\pi^6)$.
\smallskip

\noindent\textbf{Operators with non constant coefficients}
To complete this work we show an example where a fourth order operator with
non constant coefficients is considered.
Let us define the operator
 \[
T_4^{nc}[M]=u^{(4)}+e^{2\,t}\sin(2\,t) u'''(t)+M u(t)\,,\quad t\in [0,1]
\]
 defined on $X_{\{0,2\}}^{\{1,2\}}$.
In such a space, we have $\mu=\max\{1,0\}=1$, and the linear differential equation
 \[u''(t)+e^{2\,t}\sin(2\,t) u'(t)=0\,,\]
 is disconjugate on $[0,1]$, since it is a composition of two first order
linear differential equations. Thus, we can apply all previous results
to characterize the strongly inverse positive character of $T^{nc}_4[M]$
on $X_{\{0,2\}}^{\{1,2\}}$.

 First, we obtain numerically, by means of Mathematica software, the different
eigenvalues of $T_4^{nc}[0]$.
\begin{itemize}
 \item The least positive eigenvalue of $T_4^{nc}[0]$ on $X_{\{0,2\}}^{\{1,2\}}$
is $\lambda_1\approxeq 2.62355^4$.
 \item The largest negative eigenvalue of $T_4^{nc}[0]$ on
$X_{\{0,1,2\}}^{\{1\}}$ is $\lambda_2''\approxeq -4.69621^4$.
 \item The largest negative eigenvalue of $T_4^{nc}[0]$ on
$X_{\{0\}}^{\{0,1,2\}}$ is $\lambda_2'\approxeq -6.18170^4$.
 \item The largest negative eigenvalue of $T_4^{nc}[0]$ on
$X_{\{0,1,2\}}^{\{2\}}$ is  $\lambda_1^2\approxeq -3.45041^4$.
 \item The largest negative eigenvalue of $T_4^{nc}[0]$ on
$X_{\{2\}}^{\{0,1,2\}}$ is $\lambda_0^2\approxeq -4.20409^4$.
 \end{itemize}
Thus, by  Theorems \ref{T::IPN} and \ref{T::IPNH2}, we conclude:
 \begin{itemize}
 \item $T_4^{nc}[M]$ is strongly inverse positive on
$X_{\{0,2\}_{\{2\}}}^{\{1,2\}_{\{2\}}}$ if and only if \\
$M\in \left( -2.62355^4,4.69621^4\right] $.
 \item $T_4^{nc}[M]$ is strongly inverse positive on
$X_{\{0,2\}_{\{0,2\}}}^{\{1,2\}_{\{2\}}}$ if and only if \\
$M\in \left( -2.62355^4,4.20409^4\right] $.
 \item $T_4^{nc}[M]$ is strongly inverse positive either on
$X_{\{0,2\}_{\{2\}}}^{\{1,2\}_{\{1,2\}}}$ or
$X_{\{0,2\}_{\{0,2\}}}^{\{1,2\}_{\{1,2\}}}$ if and only if
$M\in \left( -2.62355^4,3.45041^4\right] $.
 \end{itemize}

To use Theorem \ref{T::IPN1}, we can obtain the needed
eigenvalues of $T_4^{nc}[0]$:
\begin{itemize}
 \item The least positive eigenvalue of $T_4^{nc}[0]$ on
$X_{\{0,1\}}^{\{1,2\}}$ is  $\lambda_3'\approxeq 3.22872^4$.
 \item The least positive eigenvalue of $T_4^{nc}[0]$ on
 $X_{\{0,2\}}^{\{0,1\}}$ is  $\lambda_3''\approxeq 4.33768^4$.
 \end{itemize}
Thus, from Theorem \ref{T::IPN1}, if $T_4^{nc}[M]$ is a strongly
inverse negative operator on $X_{\{0,2\}}^{\{1,2\}}$, then
$M\in [-3.22872^4,-2.62355^4)$.

\subsection*{Acknowledgments}
This research was Partially supported by AIE Spain and FEDER, grants MTM2013-43014-P, MTM2016-75140-P.
The second author was supported by FPU scholarship, Ministerio de Educaci\'on,
Cultura y Deporte, Spain.


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