\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2016 (2016), No. 199, pp. 1--28.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu}
\thanks{\copyright 2016 Texas State University.}
\vspace{8mm}}

\begin{document}
\title[\hfilneg EJDE-2016/199\hfil
 Determination of order of fractional derivative]
{Determination of the order of fractional derivative and a
kernel in an inverse problem for a generalized time fractional diffusion equation}

\author[J. Janno \hfil EJDE-2016/199\hfilneg]
{Jaan Janno}

\address{Jaan Janno \newline
 Tallinn University of Technology,
 Ehitajate tee 5, Tallinn, Estonia}
\email{jaan.janno@ttu.ee}

\thanks{Submitted February 15, 2016. Published July 25, 2016.}
\subjclass[2010]{35R30, 80A23}
\keywords{Inverse problem; fractional diffusion; fractional parabolic equation}

\begin{abstract}
 A generalized time fractional diffusion equation containing  a lower order
 term of a convolutional form is considered. Inverse problem to determine
 the order of a fractional derivative and a kernel of the lower order term
 from measurements of states over the time is posed. Existence, uniqueness
 and stability of the solution of the inverse problem are proved.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{remark}[theorem]{Remark}
\newtheorem{proposition}[theorem]{Proposition}
\allowdisplaybreaks

\section{Introduction}
 
Subdiffusion processes in porous, fractal, biological etc. media are  described
by differential equations containing
fractional time (time and space) derivatives \cite{Ber,CGS,Mag,MK,Zas}.

 In many practical situations parameters of media or model are unknown or scarcely
 known. They can be determined solving inverse problems for governing differential
equations.

 Analytical and numerical study of  inverse problems for fractional diffusion
equations is undergoing an intensive development during the present decade.
Series of papers are devoted to problems to determine unknown source terms
\cite{Fur,Tar2,Tar5,Wei,Zhang},
  boundary conditions \cite{Liu}, initial conditions \cite{Lopu2},
coefficients \cite{Cheng,Miller,Lopu1},
orders of derivatives \cite{Cheng,Li,Miller,Tatar} and
 nonlinear terms \cite{Luch,Tar3,Tar4,Tina}.

Fractional time derivatives in diffusion models result from postulating the
power law waiting time density of a stochastic processes going on in micro-level.
However, there are no convincing arguments that the waiting time density has
to be exactly of the power law. In the present paper
we consider a more general model that is governed by an equation that
involves ``almost'' fractional time derivative.  Namely, we replace
the power function  $t^{\beta-1}$ occurring in the fractional derivative  by
the sum of $t^{\beta-1}$  and a convolution of $t^{\beta-1}$ with an
arbitrary kernel $m$.

We pose an inverse problem to reconstruct $\beta$ and $m$ from measurements of the
states over the time. We prove the existence and uniqueness of the solution of
the inverse problem and establish a stability estimate for $m$  with respect to
 the data.  Results are global in time.
 Moreover, we deduce an explicit formula for $\beta$ and present a numerical example.
 The analysis is implemented in the Fourier domain.

\section{Formulation of direct and inverse problems}

Continuous time random walk models of subdiffusion with power law waiting time
densities yield in macro-level differential equations that contain fractional
 derivatives of order between $0$ and $1$. The simplest equation of such kind is
\cite{Ber,CGS,MK,Zas}
$$
{\scriptstyle\mathcal{U}}_t(x,t)=D^{1-\beta}{\scriptstyle\mathcal{U}}_{xx}(x,t),
$$
where ${\scriptstyle\mathcal{U}}$ is the state variable, $x$ is the space variable,  $t$ is the time
 and
$$
D^{1-\beta}{\scriptstyle\mathcal{U}}(x,t)={d\over dt} \int_0^t {(t-\tau)^{\beta-1}\over \Gamma(\beta)}
{\scriptstyle\mathcal{U}}(x,\tau)d\tau
$$
is the Riemann-Liouville fractional derivative of the order $1-\beta$
with $0<\beta<1$.

An equation that corresponds to general waiting time densities is
\cite[Eq. (10)]{CGS}
\begin{equation}\label{eqbas0}
{\scriptstyle\mathcal{U}}_t={d\over dt} \int_0^t M(t-\tau){\scriptstyle\mathcal{U}}_{xx}(x,\tau)d\tau,
\end{equation}
where $M$ is an arbitrary function.
Because of the physical background, $M$ is positive, decreasing and
has a weak singularity at $t=0$.
Let us  suppose that the function $M$ has the form
\begin{equation}\label{M}
M(t)={t^{\beta-1}\over \Gamma(\beta)}+
{t^{\beta-1}\over \Gamma(\beta)}*m(t)
\end{equation}
 with some kernel $m$, where
$*$ denotes the time convolution; i.e.,
$$
v_1*v_2(t)=\int_0^t v_1(t-\tau)v_2(\tau)d\tau.
$$
Then the equation \eqref{eqbas0} reads
${\scriptstyle\mathcal{U}}_t=D^{1-\beta}({\scriptstyle\mathcal{U}}_{xx}+m*{\scriptstyle\mathcal{U}}_{xx})$.

Our aim is to pose and study an inverse problem to determine the order
of the fractional derivative $\beta$ and the kernel
$m$ in this equation. But before we proceed, we generalize this equation a bit:
\begin{equation}\label{s1gene}
{\scriptstyle\mathcal{U}}_t=D^{1-\beta}({\scriptstyle\mathcal{U}}_{xx}
+m*{\scriptstyle\mathcal{U}}_{xx}+m^0*{\scriptstyle\mathcal{U}}_{xx})+{\scriptstyle\mathcal{G}}.
\end{equation}
The function ${\scriptstyle\mathcal{G}}$ is a source term. The inclusion of the addend with $m^0$
has a mathematical reason. Namely,
the study of stability in Section 7 requires a previously proved existence
result for an inverse problem that contains the additional term
with $m^0$. Therefore, it makes sense to incorporate this term already from
the beginning. On the other hand, $m^0$ can be interpreted as
an initial guess for an unknown kernel of the form $m^0+m$.
In this case, the perturbation part $m$
of the kernel is to be determined in the inverse problem.

Next we transform the equation under consideration to a more common in
the mathematical literature form.
To this end we introduce the operator of fractional integration $I^\alpha$
defined by the formula
$$
I^{\alpha}v(t)={t^{\alpha-1}\over \Gamma(\alpha)}*v(t)
=\int_0^t {(t-\tau)^{\alpha-1}\over \Gamma(\alpha)}v(\tau)d\tau.
$$
Applying the operator  $I^{1-\beta}$  to the equation \eqref{s1gene}, we reach the
equivalent equation
$$
{t^{-\beta}\over \Gamma(1-\beta)}* [{\scriptstyle\mathcal{U}}_t-{\scriptstyle\mathcal{G}}]
= {\scriptstyle\mathcal{U}}_{xx}+m*{\scriptstyle\mathcal{U}}_{xx}+m^0*{\scriptstyle\mathcal{U}}_{xx}.
$$
We mention that the left  hand side of \eqref{siss1}
contains the Caputo derivative of the order $\beta$ of ${\scriptstyle\mathcal{U}}$,
i.e. ${t^{-\beta}\over \Gamma(1-\beta)}* {\scriptstyle\mathcal{U}}_t$.

Let us formulate the following initial-boundary value problem for this
 equation in a bounded domain
$(x_1,x_2)\times (0,T)$:
\begin{equation}\label{siss-1}
\begin{gathered}
{t^{-\beta}\over \Gamma(1-\beta)}* [{\scriptstyle\mathcal{U}}_t(x,t)
 -{\scriptstyle\mathcal{G}}(x,t)]= {\scriptstyle\mathcal{U}}_{xx}(x,t)+m*{\scriptstyle\mathcal{U}}_{xx}(x,t)+m^0*{\scriptstyle\mathcal{U}}_{xx}(x,t),
\\
 (x,t)\in (x_1,x_2)\times (0,T),
\\
{\scriptstyle\mathcal{U}}(x,0)={\scriptstyle\mathcal{U}}_0(x),\quad x\in (x_1,x_2),\\
\mathcal{B}_1{\scriptstyle\mathcal{U}}(\cdot,t) = b_1(t),\quad
\mathcal{B}_2{\scriptstyle\mathcal{U}}(\cdot,t) = b_2(t),\quad t\in (0,T),
\end{gathered}
\end{equation}
where $\mathcal{B}_1$ and $\mathcal{B}_2$  are boundary operators at
 $x=x_1$ and $x=x_2$, respectively. More precisely,
\begin{equation}\label{boundop}
\parbox{8cm}{ for any $j\in\{1;2\}$
either $\mathcal{B}_jv=v(x_j)$ or \\
$\mathcal{B}_jv=v'(x_j)+\theta_jv(x_j)$ with
$\theta_j\in \mathbb{R}$, $(-1)^j\theta_j\ge 0$.}
\end{equation}

Here and in the sequel we use for $x$- and $t$-dependent functions $v(x,t)$
the alternative notation $v(\cdot,t)$ that means
a function of $t$ with values as functions of $x$.

To formulate an inverse problem, let us introduce an observation functional
$\Phi$ that maps functions defined on the interval $[x_1,x_2]$ onto $\mathbb{R}$.
For instance, $\Phi$ can be defined as follows:
\begin{align*}
\Phi[v]=v(x_0)\quad\text{or}\quad\Phi[v]=v'(x_0)+\vartheta v(x_0)\quad
\text{or}\quad\Phi[v]=\int_{x_1}^{x_2} \kappa(x)v(x)dx,
\end{align*}
where $x_0\in [x_1,x_2]$, $\vartheta\in\mathbb{R}$, $\kappa : (x_1,x_2)\to \mathbb{R}$ are given.
It is natural to assume that $\Phi$
does not coincide with any of the boundary operators, i.e.
$\Phi\ne \mathcal{B}_1$ and  $\Phi\ne \mathcal{B}_2$.


Now we are in a situation to
formulate the {\it inverse problem}. Given
${\scriptstyle\mathcal{G}},m^0,{\scriptstyle\mathcal{U}}_0,b_1$ and $b_2$, find the pair $(\beta,m)$ such
that the solution ${\scriptstyle\mathcal{U}}$ of the (direct) problem
\eqref{siss-1} satisfies the
additional condition
\begin{equation}\label{siss-2}
\Phi[{\scriptstyle\mathcal{U}}(\cdot,t)]={\scriptstyle\mathcal{H}}(t),\quad t\in (0,T),
\end{equation}
where ${\scriptstyle\mathcal{H}}$ is a prescribed function (observation of the physical state
${\scriptstyle\mathcal{U}}$).

It is more convenient to deal with a problem with homogeneous boundary conditions.
Then it is possible to interpret the second order space
derivative in the equation \eqref{siss-1} as a linear operator in some
functional space. Let $\widehat{{\scriptstyle\mathcal{U}}}$ be a function
satisfying the nonhomogeneous boundary conditions, i.e.
$\mathcal{B}_1\widehat{{\scriptstyle\mathcal{U}}}(\cdot,t)= b_1(t)$ and
 $\mathcal{B}_2\widehat{{\scriptstyle\mathcal{U}}}(\cdot,t)=b_2(t)$
for $t\in (0,T)$. Performing the change of variables ${\scriptstyle\mathcal{U}}=\widehat{{\scriptstyle\mathcal{U}}}+u$,
we obtain the following equation and conditions for $u$:
\begin{equation}\label{siss1}
\begin{gathered}
\begin{aligned}
&{t^{-\beta}\over \Gamma(1-\beta)}* [u_t(x,t)-g(x,t)]\\
&= u_{xx}(x,t)+f(x,t)+m*[u_{xx}(x,t)+\psi(x,t)]
 +m^0*u_{xx}(x,t),
\end{aligned}\\
 (x,t)\in (x_1,x_2)\times (0,T),
 \\
u(x,0) = \varphi(x),\quad x\in (x_1,x_2),\\
\mathcal{B}_1u(\cdot,t) = 0,\quad
\mathcal{B}_2u(\cdot,t) = 0,\quad  t\in (0,T),
\end{gathered}
\end{equation}
and
\begin{equation} \label{siss6}
\Phi[u(\cdot,t)]=h(t),\quad t\in (0,T),
\end{equation}
where $g={\scriptstyle\mathcal{G}}-\widehat{{\scriptstyle\mathcal{U}}}_t$, $\psi=\widehat{{\scriptstyle\mathcal{U}}}_{xx}$,
$f=\widehat{{\scriptstyle\mathcal{U}}}_{xx}+m^0*\widehat{{\scriptstyle\mathcal{U}}}_{xx}$,
$\varphi={\scriptstyle\mathcal{U}}_0-\widehat{{\scriptstyle\mathcal{U}}}(\cdot,0)$ and $h={\scriptstyle\mathcal{H}}-\Phi[\widehat{{\scriptstyle\mathcal{U}}}]$.

The relations \eqref{siss1} form a direct problem for $u$.
The {\it inverse problem} consists in determining $(\beta,m)$
such that the solution $u$ of \eqref{siss1} satisfies the additional
condition \eqref{siss6}.

In this article we prove well-posedness results for the inverse problem with
the component $m$ in spaces $L_p(0,T)$, where $p\in [1,\infty)$.
This  covers as particular cases functions $M$ of the form
$M(t)={t^{\beta-1}\over \Gamma(\beta)}+\sum_{i=1}^n c_it^{s_i-1}$,
where $s_i>\beta$ (for with such $M$, see \cite{Li}). Then
$m(t)=\sum_{i=1}^n {c_i\Gamma(s_i)\over \Gamma(s_i-\beta)}t^{s_i-\beta-1}$.
Another example of $m$ is the  exponentially decreasing flux relaxation
(memory) kernel
$m(t)=\sum_{i=1}^n c_i e^{-\alpha_i t}$, where $\alpha_i> 0$ \cite{Tzou}.


\section{Abstraction and reformulation in Fourier domain}

Let $X$ be a Hilbert space and $A: \mathcal{D}(A)\to X$ be a linear operator
with the domain $\mathcal{D}(A)\subseteq X$. Moreover, let $g, f, \psi : (0,T)\to X$,
 $m^0,h : (0,T)\to \mathbb{R}$, be given functions,
$\varphi\in X$ a given element and $\Phi: \mathcal{D}(A)\to \mathbb{R}$
a given linear functional.

In the {\it abstract inverse problem} we seek for a number $\beta$ and a
function  $m: (0,T)\to \mathbb{R}$ such that a solution
$u: [0,T]\to X$  of the (forward) problem
\begin{equation}\label{e1}
\begin{gathered}
\begin{aligned}
&{t^{-\beta}\over \Gamma(1-\beta)}*[u'(t)-g(t)]\\
& =Au(t)+f(t)+m*[Au(t)+\psi(t)]
 +m^0*Au(t), \quad t\in (0,T),
\end{aligned}\\
u(0)=\varphi
\end{gathered}
\end{equation}
satisfies the additional condition
\begin{equation}\label{e3}
\Phi[u(t)]=h(t),\quad t\in (0,T).
\end{equation}

Firstly, let us formulate a theorem that gives sufficient conditions
for the well-posedness of the abstract direct problem \eqref{e1}.

\begin{theorem} \label{thm1}
Assume that $A$ is closed and densely defined in $X$ and satisfies the
following property:
\begin{equation} \label{sect}
\rho(A)\supset \Sigma(\beta\pi/2)\,,\;\;
\exists M>0: \|(\lambda-{A})^{-1}\|\le {M\over |\lambda|}\;
 \forall \lambda\in \Sigma(\beta\pi/2),
\end{equation}
where $\rho(A)$ is the resolvent set of $A$ and
$\Sigma(\theta)=\{\lambda\in\mathbb{C}: |{\rm arg}\lambda|<\theta\}$.
Let $X_A$ be the domain of $A$ endowed with the
graph norm $\|z\|_{X_{A}}=\|z\|+\|Az\|$. Moreover, assume
$\varphi\in X_A$, $f,\psi,g\in W_1^1((0,T);X)$  and
$m,m^0\in L^1(0,T)$. Then \eqref{e1} has a unique solution in the space
$C([0,T];X_A)$ and
${t^{-\beta}\over \Gamma(1-\beta)}*u'\in C([0,T];X)$. The solution
continuously depends on $\varphi,f,\psi,g,m$ and $m^0$ in norms of the
mentioned spaces.
\end{theorem}

The above theorem follows from \cite[Theorem 2.3 and Proposition 1.2]{pruss}.

\begin{remark} \label{rmk1}  \rm
Define $X=L_2(x_1,x_2)$. Then the operator $A={d^2\over dx^2}$ with the domain
\begin{equation}\label{domainn}
D(A)=\{ w: z\in W_2^2(x_1,x_2), \,\mathcal{B}_1w = 0,\;\mathcal{B}_2w = 0\}
\end{equation}
satisfies the assumptions of Theorem \ref{thm1} (see \cite[Theorem 3.1.3]{Luna}).
Consequently, Theorem \ref{thm1} applies to the problem \eqref{siss1}.
\end{remark}

Our next step is to reformulate the abstract inverse problem \eqref{e1},
\eqref{e3} in the Fourier domain. Let us further assume that
\begin{equation}\label{Aspekt}
\parbox{10cm}{
the spectrum of $A$ is discrete, the eigenvalues $\lambda_i$, $i=1,2,\ldots$
of the operator $-A$ are nonnegative, ordered in
the usual manner, i.e.
$0\le \lambda_1\le \lambda_2\le \ldots$
and the corresponding eigenvectors
$v_i$, $i=1,2,\ldots$,
form an orthonormal basis in $X$.}
\end{equation}

\begin{remark} \label{rmk2} \rm
It is well-known that the operator $A={d^2\over dx^2}$ with the domain
\eqref{domainn} satisfies the property \eqref{Aspekt}.
\end{remark}

We expand the functions involved in \eqref{e1}, \eqref{e3} as follows:
\begin{equation}\label{expansions}
\begin{gathered}
u(t)=\sum_{i=1}^\infty u_i(t)v_i,\quad
g(t)=\sum_{i=1}^\infty g_i(t)v_i,\quad
f(t)=\sum_{i=1}^\infty f_i(t)v_i,\\\
\psi(t)=\sum_{i=1}^\infty \psi_i(t)v_i,\quad
\varphi=\sum_{i=1}^\infty \varphi_iv_i,\;
\end{gathered}
\end{equation}
where $u_i: [0,T]\to \mathbb{R}$, $g_i,f_i,\psi_i: (0,T)\to \mathbb{R}$, $\varphi_i\in \mathbb{R}$
are the Fourier coefficients. Moreover, let
us denote
$$
\gamma_i=\Phi[v_i],\quad  i=1,2,\ldots.
$$
Taking the inner product of the equalities \eqref{e1} with the elements $v_i$,
$i=1,2,\ldots$, and inserting the series of $u$ into \eqref{e3}, we obtain
\begin{equation}\label{e1a}
\begin{aligned}
&{t^{-\beta}\over \Gamma(1-\beta)}*[u_i'(t)-g_i(t)]+\lambda_iu_i(t) \\
&=f_i(t)+m*[\psi_i(t)-\lambda_i u_i(t)]
 - m^0*\lambda_i u_i(t),\quad t\in (0,T), \quad u_i(0)=\varphi_i,
\end{aligned}
\end{equation}
where $i=1,2,\ldots$,
\begin{equation} \label{e2a}
\sum_{i=1}^\infty \gamma_i u_i(t) = h(t),\quad t\in (0,T).
\end{equation}
The relations \eqref{e1a} represent the direct problem, reformulated  in the
Fourier domain.
The corresponding  {\it inverse problem} is stated as follows.

\noindent Inverse Problem (IP). Given $g_i,f_i,\psi_i,\varphi_i$, $i=1,2,\ldots$
and $m^0,h$, find $\beta$ and $m$
such that solutions $u_i$ of \eqref{e1a}  satisfy the condition \eqref{e2a}.

\section{Notation and preliminaries}

Let us introduce the Bessel potential spaces
$$
H_p^s(0,T)=\Bigl\{v|_{[0,T]}: v\in H_p^s (\mathbb{R})
=\{w: \mathcal{F}^{-1}((1+|\omega|^2)^{s\over 2}\mathcal{F}w)\in L_p(\mathbb{R})\}\Bigl\}
$$
for $1<p<\infty$, $s>0$ and their subspaces
$$
_{0}H_p^s(0,T)=\{v|_{[0,T]}: v\in H_p^s (\mathbb{R}),\,
\operatorname{supp}v\subseteq [0,\infty)\}.
$$
Here $\mathcal{F}$ is the Fourier transform and the symbol $v|_{[0,T]}$
stands for the restriction onto $[0,T]$ of a
function defined on $\mathbb{R}$.

In case $n\in \mathbb{N}$ the space $H_p^n(0,T)$ coincides with the Sobolev space
$$
W_p^n(0,T)=\{ w: w^{(j)}\in L_p(0,T),\, j=0,\ldots,n\}.
$$


\begin{remark} \label{rmk3} \rm
When $s\in (0,1)$, $p\in (1,1/s)$ it holds $_{0}H_p^s[0,T]=H_p^s(0,T)$.
On the other hand, when $s\in (0,1)$,
$p\in ({1\over s},\infty)$  the space $H_p^s(0,T)$ is embedded in the space
of continuous on $[0,T]$ functions $C[0,T]$
 and $w\in H_p^s(0,T)\Leftrightarrow
w=w(0)+\overline w$,
 $w(0)\in \mathbb{R}$, $\overline w \in{}  _0H_p^{s}(0,T)$
(see \cite[p. 27-28]{zachdiss}).
\end{remark}

We use of the following abbreviation for the norms in Lebesgue spaces
$L_p(0,T)$:
$$
\|w\|_p:=\|w\|_{L_p(0,T)}.
$$
Let us formulate a lemma that describes the  functions
${t^{s-1}\over \Gamma(s)}*m$ where $m\in L_p(0,T)$.


\begin{lemma} \label{lem1}.
Let  $s\in (0,1)$, $p\in (1,\infty)$.
The operator of fractional integration of the order $s$, given by
$I^{s}z={t^{s-1}\over \Gamma(s)}*z$, is a
bijection from $L_p(0,T)$ onto $_{0}H_p^s(0,T)$, the inverse of $I^s$
is the Riemann-Liouville
fractional derivative $D^s={d\over dt}I^{1-s}$
and
$$
\|w\|_{s,p}:=\|D^s w\|_{p}
$$
is a norm in $_{0}H_p^s(0,T)$.
\end{lemma}

The above lemma follows from \cite[Corollary 2.8.1]{zachdiss}.

In our analysis we will use the Mittag-Leffler functions $E_\beta$ and
$E_{\beta,\beta}$ in case $\beta\in (0,1)$.
The functions $E_\beta$ and $E_{\beta,\gamma}$ are defined by
the following power series:
\[
E_\beta(t)=\sum_{k=0}^\infty {t^k\over \Gamma(\beta k+1)},\quad
E_{\beta,\gamma}(t)= \sum_{k=0}^\infty {t^k\over \Gamma(\beta k+\gamma)}.
\]
Note that $E_\beta$ is a generalization of the exponential function.
Indeed, in case $\beta=1$ it holds   $E_\beta(t)=e^{t}$.
Like the exponential function, $E_\beta$ and $E_{\beta,\gamma}$ are also
entire functions. Moreover, $E_\beta(-t)$ and $E_{\beta,\gamma}(-t)$ are
completely monotonic for $t\in [0,\infty)$ and
\begin{equation}\label{Erel}
E_\beta(0)=1\,,\quad E_{\beta,\beta}(0)={1\over \Gamma(\beta)}\,,
\quad E_\beta'={1\over\beta}E_{\beta,\beta}
\end{equation}
(see \cite{ML}).

Next we prove a lemma that will be applied in a treatment of the direct
problem \eqref{e1a}.

\begin{lemma} \label{lem2}
 Let  $z\in H_r^{1-\beta}(0,T)$ with some $\beta\in (0,1)$,
$r\in (1,{1\over 1-\beta})$ and $y\in L_1(0,T)$, $\lambda,w_0\in \mathbb{R}$.
Then the Cauchy problem
\begin{equation}\label{lem2pr}
{t^{-\beta}\over \Gamma(1-\beta)}*w'(t)+{t^{-\beta}\over \Gamma(1-\beta)}*y*w'(t)
+\lambda w(t)=z(t),\quad t\in (0,T),\quad w(0)=w_0
\end{equation}
has a unique solution $w$ in the space $W_r^1(0,T)$.
 This solution has in case $y=0$ the representation
\begin{equation}\label{lem2for}
w(t)=w_0E_\beta\bigl(-\lambda t^{\beta}\bigl)
+\int_0^t (t-\tau)^{\beta-1} E_{\beta,\beta}
\bigl[-\lambda (t-\tau)^\beta\bigl]z(\tau)d\tau.
\end{equation}
\end{lemma}

\begin{proof}
 By Lemma \ref{lem1}, Remark \ref{rmk3} and the relation $w=I^1w'+w_0$, \eqref{lem2pr}
is equivalent to
$$
w'(t)+y*w'(t)+\lambda D^{1-\beta} (I^1w'(t)+w_0)=D^{1-\beta} z(t),\quad
 t\in (0,T),\; w(0)=w_0.
$$
Since $D^{1-\beta}I^1=D^{1-\beta}I^{1-\beta}I^\beta=I^\beta$, the obtained
equation for $w'$ is the  Volterra equation of the second kind
\begin{equation}\label{lem2volt}
\begin{aligned}
& w'(t)+\int_0^t \Bigl[y(t-\tau)+\lambda{(t - \tau)^{\beta-1}\over \Gamma(\beta)}
\Bigl]  w'(\tau)d\tau\\
&=D^{1-\beta}z(t) - \lambda w_0{t^{\beta-1}\over \Gamma(\beta)},\quad t\in (0,T).
\end{aligned}
\end{equation}
The right-hand side $D^{1-\beta}z-\lambda w_0{t^{\beta-1}\over \Gamma(\beta)}$
 belongs to $L_r(0,T)$. By
well-known results for the Volterra equations of the second kind \cite{GLS},
the equation \eqref{lem2volt} has a
a unique solution $w'\in L_r(0,T)$. This proves the existence and uniqueness
assertions of the lemma.

It remains to prove the formula \eqref{lem2for}.
From  \cite[p. 172-173]{ML},   it follows that the second addend in
\eqref{lem2for}, i.e.
$$
\omega(t):= \int_0^t (t-\tau)^{\beta-1} E_{\beta,\beta}
\bigl[-\lambda (t-\tau)^\beta\bigl]z(\tau)d\tau
$$
solves the equation
$D^\beta \omega+ \lambda \omega=z$. Since $\omega(0)=0$ we have
$D^\beta \omega={t^{-\beta}\over \Gamma(1-\beta)}*\omega'$. Consequently,
we obtain the relation
\begin{equation}\label{lem2po}
{t^{-\beta}\over \Gamma(1-\beta)}*\omega'(t)+\lambda \omega(t)=z(t),\quad
 t\in (0,T),\; \omega(0)=0.
\end{equation}
Further, by  \cite[(4.10.16)]{ML}, the function
$\phi(t):=E_\beta\bigl(-\lambda t^{\beta})$ solves the
equation
$$
D^\beta \phi+ \lambda \phi={t^{-\beta}\over \Gamma(1-\beta)}.
$$
This yields ${t^{-\beta}\over \Gamma(1-\beta)}*\phi'(t)+\lambda \phi(t)=0$.
Moreover, $\phi(0)=1$.
Therefore, for the first addend in \eqref{lem2for}, i.e.
$\chi(t):=w_0E_\beta\bigl(-\lambda t^{\beta}\bigl)$ the
relations
\begin{equation}\label{lem2po1}
{t^{-\beta}\over \Gamma(1-\beta)}*\chi'(t)+\lambda \chi(t)=0,\quad
 t\in (0,T),\quad \chi(0)=w_0
\end{equation}
are valid. The summa $w=\omega+\chi$ solves \eqref{lem2pr} with $y=0$.
Summing the formulas of $\omega$ and $\chi$ we obtain
\eqref{lem2for}.
\end{proof}

Let us introduce further auxiliary material. We  use
the following family of weighted norms in the spaces
$_0H_p^{s}(0,T)$ and $L_p(0,T)$:
$$
\|w\|_{s,p;\sigma}=\|e^{-\sigma t}D^{s}w\|_{L_p(0,T)},\quad\text{and}\quad
\|w\|_{p;\sigma}=\|e^{-\sigma t}w\|_{L_p(0,T)},
$$
where $\sigma\ge 0$.
Evidently, the equivalence relations
\begin{equation}\label{sigekv}
e^{-\sigma T}\|w\|_{s,p}\le \|w\|_{s,p;\sigma}\le \|w\|_{s,p}\, ,\quad
e^{-\sigma T}\|w\|_{p}\le \|w\|_{p;\sigma}\le \|w\|_{p}
\end{equation}
are valid.
Moreover, by the dominated convergence theorem, in case $p<\infty$,
\begin{equation}\label{dominance}
\|w\|_{s,p;\sigma}\to 0\quad\text{and}\quad \|w\|_{p;\sigma}\to 0 \quad\text{as }
\sigma\to\infty.
\end{equation}

\begin{lemma} \label{lem3}
 Let $\beta\in (0,1)$. Then the functions
\begin{equation}\label{qidef}
\widetilde E_{\beta,i}(t)=t^{\beta-1} E_{\beta,\beta}\bigl[-\lambda_i t^\beta\bigl]
\end{equation}
satisfy the following estimates:
\begin{gather}\label{Eestim}
\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}\le 1\\
 \label{Eestim1}
\|\lambda_i^{1-\epsilon} \widetilde E_{\beta,i}\|_{1;\sigma}
\le {c_{\beta,\epsilon}\over \sigma^{\beta\epsilon}}, \quad 0<\epsilon\le 1,
\end{gather}
for $i=1,2,\ldots$, where $c_{\beta,\epsilon}$ is a constant independent of
 $\sigma$ and $i$. The symbol
$\|\cdot\|_{1;\sigma}$ denotes the norm $\|\cdot\|_{p;\sigma}$ in case $p=1$.
\end{lemma}

\begin{proof}
Using the positivity of $E_{\beta,\beta}(-t)$ for $t\ge 0$ and \eqref{Erel}
we deduce
\begin{align*}
\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
&=\int_0^T e^{-\sigma t}\lambda_i t^{\beta-1}E_{\beta,\beta}(-\lambda_it^\beta)dt \\
&\le \int_0^T \lambda_i t^{\beta-1}E_{\beta,\beta}(-\lambda_it^\beta)dt\\
&=-\int_0^T {d\over dt}E_\beta(-\lambda_it^\beta)dt
=E_\beta(0)-E_\beta(-\lambda_iT^\beta).
\end{align*}
Since $E_\beta(-t)$ is positive for $t\ge 0$ and  $E_\beta(0)=1$ we reach
\eqref{Eestim}. Further,
taking the asymptotical relation $E_{\beta,\beta}(-t)=O(t^{-2})$ as
$t\to\infty$ (see \cite[Thm. 1.2.1]{PS}) into account, we have
$\bigl(\lambda_it^{\beta}\bigl)^{\delta}\,E_{\beta,\beta}(-\lambda_i t^\beta)
\le c_{\beta,\delta}^1$ for $t\ge 0$ and
$0\le\delta\le 2$ with some constant $c_{\beta,\delta}^1$. Thus, for
$0<\epsilon\le 1$ we deduce
\begin{align*}
\|\lambda_i^{1-\epsilon} \widetilde E_{\beta,i}\|_{1;\sigma}
& =\int_0^T e^{-\sigma t}\bigl(\lambda_i t^\beta\bigl)^{1-\epsilon}
t^{\beta\epsilon-1}E_{\beta,\beta}(-\lambda_it^\beta)dt\\
&\le c_{\beta,1-\epsilon}^1 \int_0^T
e^{-\sigma t} t^{\beta\epsilon-1}dt\\
&={c_{\beta,1-\epsilon}^1\over \sigma^{\beta\epsilon}}\int_0^{\sigma T}
e^{-s}s^{\beta\epsilon-1}ds\\
&<{c_{\beta,1-\epsilon}^1\over \sigma^{\beta\epsilon}}
\int_0^{\infty} e^{-s}s^{\beta\epsilon-1}ds.
\end{align*}
This implies \eqref{Eestim1}.
\end{proof}

Finally, we point out the Young's theorem for convolutions  that will
be an important tool in our computations:
\begin{equation}\label{Young}
\|w_1*w_2\|_{p_3}\le \|w_1\|_{p_1} \|w_2\|_{p_2},\quad \text{where }
{1\over p_1}+{1\over p_2}=1+{1\over p_3}.
\end{equation}

\section{Results for direct problem in Fourier domain}

In this section, we prove two propositions
for the direct problem \eqref{e1a}.

\begin{proposition} \label{prop1}
Let $\beta \in (0,1)$, $m,m^0\in L_1(0,T)$  and
$f_i,\psi_i\in H_r^{1-\beta}(0,T)$,  $g_i\in L_r(0,T)$
  with some $r\in (1,{1\over 1-\beta})$. Then the problem
\eqref{e1a} has a unique solution $u_i\in W_r^1(0,T)$.  Moreover,
the following assertions are valid:
\begin{itemize}
\item[(i)] if
\begin{equation}\label{meeldus0}
\|m\|_{1;\sigma}+\|m^0\|_{1;\sigma}\le {1\over 2}
\end{equation}
 then the estimate
\begin{equation}\label{uest1}
\|u_i'\|_{r;\sigma}+\lambda_i\|u_i\|_{1-\beta,r;\sigma}
\le C_0\bigl[\lambda_i|\varphi_i|
+ \|f_i\|_{1-\beta,r;\sigma}+\|\psi_i\|_{1-\beta,r;\sigma}+\|g_i\|_{r;\sigma}\bigl]
\end{equation}
holds, where $C_0$ is a constant independent of $\sigma$ and $i$;

\item[(ii)] if \eqref{meeldus0} is satisfied and
 $f_i,\psi_i\in L_\infty(0,T)$, $I^{1-\beta}g_i\in L_\infty(0,T)$
then the estimate
\begin{equation}\label{uest2}
\lambda_i\|u_i\|_{\infty;\sigma}\le C_1\bigl[\lambda_i|\varphi_i|+
\|f_i\|_{\infty;\sigma}+\|\psi_i\|_{\infty;\sigma}
+\|I^{1-\beta}g_i\|_{\infty;\sigma}\bigl]
\end{equation}
holds, where
$C_1$ is a constant independent of $\sigma$ and $i$.
\end{itemize}
\end{proposition}

\begin{proof}
Since $m,m^0\in L_1(0,T)$, the Volterra equation of the second kind
$$
y(t)+(m+m^0)*y(t)+m(t)+m^0(t)=0, \quad t\in (0,T),
$$
has a unique solution $y\in L_1(0,T)$ (see \cite[Theorem 3.1]{GLS}).
 From this equation we obtain the operator relations
$$
(\mathcal{I}+y*)\bigl(\mathcal{I}+(m+m^0) * \bigl)
=\bigl(\mathcal{I}+(m+m^0) * \bigl)(\mathcal{I}+y*)=\mathcal{I},
$$
where $\mathcal{I}$ is the unity operator.
Applying the operator $\mathcal{I}+y*$ to the equation in \eqref{e1a}
we obtain the problem
\begin{equation}\label{e1aequiv}
\begin{gathered}
{t^{-\beta}\over \Gamma(1-\beta)}*[u_i'(t)+y*u_i'(t)]
+\lambda_iu_i(t)=\widetilde f_i(t),\quad t\in (0,T),\\
 u_i(0)=\varphi_i,
\end{gathered}
\end{equation}
where $\widetilde f_i(t)=f_i(t)+y*f_i(t)+I^{1-\beta}
g_i(t)+y*I^{1-\beta}g_i(t)+(m+y*m)*\psi_i(t)$.
Conversely, applying the operator $\mathcal{I}+(m+m^0)*$
to the equation in \eqref{e1aequiv}, we reach \eqref{e1a}. Therefore,
problems \eqref{e1a} and \eqref{e1aequiv} are equivalent.
From the assumptions of the proposition, Lemma \ref{lem1} and
 Remark \ref{rmk3} we have
\begin{align*}
\widetilde f_i(t)
&= f_i(t)+y*{t^{-\beta}\over \Gamma(1-\beta)}*D^{1-\beta}f_i(t)+I^{1-\beta}g_i(t)\\
&\quad +y*{t^{-\beta}\over \Gamma(1-\beta)}*g_i(t)
 +(m+y*m)*{t^{-\beta}\over \Gamma(1-\beta)}*D^{1-\beta}\psi_i(t)\\
&=f_i(t)+I^{1-\beta}g_i(t)
 +{t^{-\beta}\over \Gamma(1-\beta)}*\bigl[y*D^{1-\beta}f_i(t)+y*g_i(t)\\
&\quad +(m+y*m)*D^{1-\beta}\psi_i(t)\bigl],
\end{align*}
where $y*D^{1-\beta}f_i+y*g_i+(m+y*m)*D^{1-\beta}\psi_i\in L_r(0,T)$.
This implies  $\widetilde f_i\in H_r^{1-\beta}(0,T)$. In view of Lemma \ref{lem2},
the problem \eqref{e1aequiv} has a unique solution in $W_r^1(0,T)$.
This proves the existence and uniqueness assertion of the proposition.

Further, let us prove (i). For this purpose, we represent  the solution
of  \eqref{e1a}  by means of the formula \eqref{lem2for}.
Using the abbreviation \eqref{qidef} we have
\begin{equation} \label{prop2esa}
\begin{aligned}
 u_i(t)&= \varphi_iE_\beta\bigl(-\lambda_i t^{\beta}\bigl)+
\int_0^t \widetilde E_{\beta,i}(t-\tau)
\Bigl[f_i(\tau)+{\tau^{-\beta}\over \Gamma(1-\beta)}*g_i(\tau)\\
&\quad +\psi_i*m(\tau)\Bigl]d\tau
 -\int_0^t \widetilde E_{\beta,i}(t-\tau)\lambda_i
 u_i*[m(\tau)+m^0(\tau)]d\tau.
\end{aligned}
\end{equation}
In view of the relation
$\mathcal{I}=I^{1-\beta}D^{1-\beta}={t^{-\beta}\over \Gamma(1-\beta)}*D^{1-\beta}$
that holds in  $H_r^{1-\beta}(0,T)$ we  obtain
\begin{equation} \label{prop2es}
\begin{aligned}
 u_i(t)
&=\varphi_iE_\beta\bigl(-\lambda_i t^{\beta}\bigl)+
\int_0^t \widetilde E_{\beta,i}(t-\tau) \\
&\quad \times\Bigl[{\tau^{-\beta}\over \Gamma(1-\beta)}*\bigl(D^{1-\beta}f_i(\tau)+g_i(\tau)\bigl)+
{\tau^{-\beta}\over \Gamma(1-\beta)}*D^{1-\beta}\psi_i*m(\tau)\Bigl]d\tau\\
&\quad  -\int_0^t \widetilde E_{\beta,i}(t-\tau)\lambda_i
 {\tau^{-\beta}\over \Gamma(1-\beta)}*D^{1-\beta}
 u_i*[m(\tau)+m^0(\tau)]d\tau.
\end{aligned}
\end{equation}
Applying the operator $D^{1-\beta}={d\over dt}{t^{\beta-1}\over \Gamma(\beta)}*$
 and taking the relations
${t^{\beta-1}\over \Gamma(\beta)}*{t^{-\beta}\over \Gamma(1-\beta)}=1$ and
\begin{equation}\label{qitul}
{d\over dt}E_\beta\bigl(-\lambda_i t^{\beta}\bigl)=-\lambda_i \widetilde E_{\beta,i}(t),
\end{equation}
 following from
\eqref{Erel} and \eqref{qidef},  we reach the expression
\begin{align*}
D^{1-\beta}u_i(t)
&=-\lambda_i\varphi_i\int_0^t \widetilde E_{\beta,i}(t-\tau){\tau^{\beta-1}\over \Gamma(\beta)}d\tau
+\varphi_i{t^{\beta-1}\over \Gamma(\beta)}\\
&\quad +\int_0^t \widetilde E_{\beta,i}(t-\tau)
\Bigl[D^{1-\beta}f_i(\tau)+g_i(\tau)+
D^{1-\beta}\psi_i* m(\tau)\Bigl]d\tau\\
&\quad -\int_0^t \widetilde E_{\beta,i}(t-\tau)
\lambda_i D^{1-\beta} u_i*[m(\tau)+m^0(\tau)]d\tau.
\end{align*}
Next we multiply this equality by  $\lambda_i e^{-\sigma t}$, bring the
factor $e^{-\sigma t}$  inside the integrals
and use the relation
$$
e^{-\sigma t}[w_1(t)*w_2(t)]=e^{-\sigma t}w_1(t)*e^{-\sigma t}w_2(t).
$$
Thereupon we estimate
the obtained expression in the norm $\|\cdot\|_{r}$ and apply
\eqref{Young}. As a result we obtain
\begin{equation} \label{pro1e1}
\begin{aligned}
\lambda_i\|D^{1-\beta}u_i\|_{r;\sigma}
&\le \lambda_i |\varphi_i|\Bigl(\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
+1\Bigl)\bigl\|{t^{\beta-1}\over \Gamma(\beta)}\bigl\|_{r;\sigma}\\
&\quad +\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
 \Bigl(\|D^{1-\beta}f_i+g_i\|_{r;\sigma}+
\|D^{1-\beta}\psi_i\|_{r;\sigma}\|m\|_{1;\sigma}\Bigl)
\\
&\quad +\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
 \lambda_i\|D^{1-\beta}u_i\|_{r;\sigma}[\|m\|_{1;\sigma}+\|m^0\|_{1;\sigma}].
\end{aligned}
\end{equation}
Using \eqref{Eestim}  we obtain
\begin{align*}
\lambda_i\|u_i\|_{1-\beta,r;\sigma}
&\le 2\hat c_{\beta,r}\lambda_i|\varphi_i|
+\|f_i\|_{1-\beta,r;\sigma}+\|g_i\|_{r;\sigma}
+\|\psi_i\|_{1-\beta,r;\sigma}\|m\|_{1;\sigma} \\
&\quad +[\|m\|_{1;\sigma}+\|m^0\|_{1;\sigma}]\cdot
\lambda_i\|u_i\|_{1-\beta,r;\sigma},
\end{align*}
where $\hat c_{\beta,r}=\|{t^{\beta-1}\over \Gamma(\beta)}\|_{r}$.
In case \eqref{meeldus0} is valid, we estimate $\|m\|_{1;\sigma}$ and
$\|m\|_{1;\sigma}+\|m^0\|_{1;\sigma}$ by ${1\over 2}$, bring
the term ${1\over 2}  \lambda_i\|u_i\|_{1-\beta,r;\sigma}$ to the left-hand
side and multiply the obtained inequality by 2. This results in
\begin{equation}\label{pro1e2}
\lambda_i\|u_i\|_{1-\beta,r;\sigma}\le C_4\bigl[\lambda_i|\varphi_i|+
\|f_i\|_{1-\beta,r;\sigma}+\|\psi_i\|_{1-\beta,r;\sigma}+\|g_i\|_{r;\sigma}\bigl],
\end{equation}
where $C_4$ is a constant.

Further, applying $D^{1-\beta}$ to \eqref{e1a} we deduce
\begin{equation}\label{pro1e3}
  u_i'=-\lambda_i D^{1-\beta}u_i + D^{1-\beta}f_i+g_i+\bigl(D^{1-\beta}\psi_i - \lambda_i D^{1-\beta}u_i\bigl)*m-
\lambda_i D^{1-\beta}u_i * m^0.
\end{equation}
Here we used  that
\begin{align*}
D^{1-\beta}(f*m)
&={d\over dt}I^{\beta}(f*m)={d\over dt}\bigl({t^{\beta-1}\over
\Gamma(\beta)}*f*m\bigl)
\\
&= {d\over dt}\bigl({t^{\beta-1}\over \Gamma(\beta)}*f\bigl)*m
+\bigl({t^{\beta-1}\over \Gamma(\beta)}*f\bigl)(t)|_{t=0}\cdot m
\\
&=D^{1-\beta}f*m+\bigl({t^{\beta-1}\over \Gamma(\beta)}*
{t^{-\beta}\over\Gamma(1-\beta)}*D^{1-\beta} f\bigl)(t)|_{t=0}\cdot m
\\
&=D^{1-\beta}f*m+\bigl(I^1D^{1-\beta} f\bigl)(t)|_{t=0}\cdot m=D^{1-\beta}f*m
\end{align*}
 is valid for any $f\in H_r^{1-\beta}(0,T)$. Assuming
 \eqref{meeldus0} and using \eqref{pro1e2} from \eqref{pro1e3} we obtain
\begin{equation} \label{pro1e4}
\begin{aligned}
\|u_i'\|_{r;\sigma}
&\le \lambda_i \|u_i\|_{1-\beta,r;\sigma}+\|f_i\|_{1-\beta,r;\sigma}
+\|g_i\|_{r;\sigma} \\
&\quad +\bigl(\|\psi_i\|_{1-\beta,r;\sigma}+\lambda_i
\|u_i\|_{1-\beta,r;\sigma}\bigl)\|m\|_{1;\sigma}+
\lambda_i \|u_i\|_{1-\beta,r;\sigma}\|m^0\|_{1;\sigma}
\\
&\le C_5\bigl[\lambda_i|\varphi_i|+
\|f_i\|_{1-\beta,r;\sigma}+\|\psi_i\|_{1-\beta,r;\sigma}+\|g_i\|_{r;\sigma}\bigl]
\end{aligned}
\end{equation}
with a constant $C_5$.
Adding \eqref{pro1e2} and \eqref{pro1e4} we reach \eqref{uest1}.

Finally, let us prove (ii). To this end, let us return to the equality
\eqref{prop2esa}. Multiplying \eqref{prop2esa} by
$\lambda_i e^{-\sigma t}$ and estimating the result we obtain
\begin{align*}
\lambda_i\|u_i\|_{\infty;\sigma}
&\le \lambda_i |\varphi_i|
+\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
\Bigl(\|f_i+I^{1-\beta} g_i\|_{\infty;\sigma}+
\|\psi_i\|_{\infty;\sigma}\|m\|_{1;\sigma}\Bigl)
\\
&\quad +\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
\lambda_i\|u_i\|_{\infty;\sigma}[\|m\|_{1;\sigma}+\|m^0\|_{1;\sigma}].
\end{align*}
Observing \eqref{Eestim} and \eqref{meeldus0} we deduce \eqref{uest2}.
\end{proof}


\begin{proposition} \label{prop2}
Let $\beta \in (0,1)$, $m,m^0\in L_p(0,T)$ with some  $p\in (1,\infty)$ and
$f_i\in W_p^1(0,T)$, $\psi_i\in W_1^1(0,T)$,
$g_i\in{}  _0H_p^{\beta}(0,T)$.
Then $u'_i+q_{\beta,i}\in{}  _0H_p^{\beta}(0,T)$, where $u_i$ is
the solution of \eqref{e1a} and
\begin{equation}\label{qi}
q_{\beta,i}(t)=\bigl(\lambda_i\varphi_i-f_i(0)\bigl)E_{\beta,\beta}\bigl(-\lambda_i t^{\beta}\bigl)t^{\beta-1}=
\bigl(\lambda_i\varphi_i-f_i(0)\bigl)\widetilde E_{\beta,i}(t).
\end{equation}
Moreover,
in the case
\begin{equation}\label{meeldus}
T^{p-1\over p}\bigl(\|m\|_{p;\sigma}+\|m^0\|_{p;\sigma}\bigl)\le {1\over 2}
\end{equation}
the estimates
\begin{gather} \label{uest3}
\begin{split}
\lambda_i\|u_i'+q_{\beta,i}\|_{p;\sigma}
&\le C_2\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
\Bigl(\lambda_i|\varphi_i|+|f_i(0)|  \\
&\quad +(|\psi_i(0)|+ \|\psi_i'\|_{1;\sigma})\|m\|_{p;\sigma}+\|f_i'\|_{p;\sigma}+
\|g_i\|_{\beta,p;\sigma}\Bigl),
\end{split}\\
\label{uest3a}
\begin{split}
\|u_i'+q_{\beta,i}\|_{\beta,p;\sigma}
&\le C_{3}\Bigl(\lambda_i|\varphi_i|+|f_i(0)| \\
&\quad +(|\psi_i(0)|+ \|\psi_i'\|_{1;\sigma})\|m\|_{p;\sigma}+\|f_i'\|_{p;\sigma}+
\|g_i\|_{\beta,p;\sigma}\Bigl),
\end{split}
\end{gather}
hold,  where  $C_2$ and $C_3$ are constants independent of $\sigma$ and $i$.
\end{proposition}

Before proving Proposition \ref{prop2}, we prove a lemma concerning the function $q_{\beta,i}$.

\begin{lemma} \label{lem4}
The function $q_{\beta,i}$ satisfies the  equations
\begin{gather} \label{pro1e6a}
{t^{-\beta}\over \Gamma(1-\beta)}*q_{\beta,i}+\lambda_iI^1q_{\beta,i}
=\lambda_i\varphi_i-f_i(0), \\
\label{pro1e6}
D^\beta q_{\beta,i}+\lambda_i q_{\beta,i}=0.
\end{gather}
\end{lemma}

\begin{proof}
In case $\lambda_i=0$ we have $q_{\beta,i}(t)=-f_i(0){t^{\beta-1}\over\Gamma(\beta)}$
and since
${t^{-\beta}\over \Gamma(1-\beta)}*{t^{\beta-1}\over \Gamma(\beta)}=1$,
the relations \eqref{pro1e6a} and
\eqref{pro1e6} are immediate.
Let $\lambda_i>0$.
By Lemma \ref{lem2}, the function $\bar q_i(t)=E_\beta \bigl(-\lambda_i t^\beta\bigl)$
is a solution of the equation
${t^{-\beta}\over \Gamma(1-\beta)}*\bar q_i\,' + \lambda_i \bar q_i=0$.
Multiplying this equation by
${1\over\lambda_i}\bigl(f_i(0)-\lambda_i\varphi_i\bigl)$ we obtain
\begin{equation}\label{hatqeq}
{t^{-\beta}\over \Gamma(1-\beta)}*{1\over\lambda_i}\bigl(f_i(0)
-\lambda_i\varphi_i\bigl)\bar q_i\,' +
 \bigl(f_i(0)-\lambda_i\varphi_i\bigl)\bar q_i=0.
\end{equation}
On the other hand, in view of \eqref{Erel} and the definitions of
 $\bar q_i$, $q_{\beta,i}$ it holds the formula
 ${1\over\lambda_i}\bigl(f_i(0)-\lambda_i\varphi_i\bigl) \bar q_i'= q_{\beta,i}$.
Integrating,  multiplying by $\lambda_i$  and observing that
$\bar q_i(0)=1$ we have another formula
$\bigl(f_i(0)-\lambda_i\varphi_i\bigl) \bar q_i(t)
=\lambda_i I^1 q_{\beta,i}(t)+f_i(0)-\lambda_i\varphi_i$. Using these
relations in \eqref{hatqeq} we arrive at
\eqref{pro1e6a}. Finally, differentiating
\eqref{pro1e6a} we come to \eqref{pro1e6}.
\end{proof}

\begin{proof}[Proof of Proposition \ref{prop2}]
 Since  $W_1^1(0,T)\subset H_r^{1-\beta}(0,T)$ and
$_0H_p^\beta(0,T)\subset L_r(0,T)$ for
$r\in (0,{1\over 1-\beta})$, $r\le p$, by Proposition \ref{prop1},
 problem \eqref{e1a} has a unique solution
$u_i\in W_r^1(0,T)$.
Differentiating \eqref{prop2esa} and observing \eqref{qitul}, \eqref{qi}
 we obtain
\begin{equation} \label{taiend1}
\begin{split}
&u_i'(t)+q_{\beta,i}(t) \\
&= \int_0^t \widetilde E_{\beta,i}(t-\tau)
\Bigl[f_i'(\tau)+D^\beta g_i(\tau)+\psi_i(0)m(\tau)+
\psi_i'*m(\tau)\Bigl]d\tau \\
&\quad -\int_0^t \widetilde E_{\beta,i}(t-\tau)\lambda_i
\Bigl[\varphi_i\bigl( m(\tau)+m^0(\tau)\bigl)
+ u_i'*\bigl(m(\tau)+m^0(\tau)\bigl)\Bigl]d\tau.
\end{split}
\end{equation}
From $u_i'\in L_1(0,T)$ and the assumptions of the proposition,
the right-hand side of this relation belongs to $L_p(0,T)$.
Therefore, $u_i'+q_{\beta,i}\in L_p(0,T)$.
Multiplying \eqref{taiend1} by
$\lambda_i e^{-\sigma t}$, representing $u_i'$ as
$u_i'=-q_{\beta,i}+u_i'+q_{\beta,i}$ at the right-hand side and using
\eqref{Young} as well as the relation
$\|m\|_{1;\sigma}\le T^{p-1\over p}\|m\|_{p;\sigma}$ we obtain
\begin{align*}
\lambda_i\|u_i'+q_{\beta,i}\|_{p;\sigma}
&\le \|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}\bigl(\|f_i'\|_{p;\sigma}+\|g_i\|_{\beta,p;\sigma}
\\
&\quad + |\psi_i(0)|\|m\|_{p;\sigma}+
\|\psi_i'\|_{1;\sigma}\|m\|_{p;\sigma}\bigl)
\\
&\quad +\|\lambda_i\widetilde E_{\beta,i}\|_{1;\sigma}
\bigl(\lambda_i|\varphi_i|+\lambda_i \|q_{\beta,i}\|_{1,\sigma}\bigl)\bigl(\|m\|_{p;\sigma}+\|m^0\|_{p;\sigma}\bigl)
\\
&\quad +\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
T^{p-1\over p}\lambda_i\|u_i'+q_{\beta,i}\|_{p;\sigma}\bigl(\|m\|_{p;\sigma}+\|m^0\|_{p;\sigma}\bigl).
\end{align*}
Note that
\begin{equation}\label{pro3lisa}
\lambda_i \|q_{\beta,i}\|_{1,\sigma}\le \lambda_i|\varphi_i|+|f_i(0)|
\end{equation}
by \eqref{Eestim} and \eqref{qi}. Thus, using \eqref{Eestim} we deduce
\begin{align*}
\lambda_i\|u_i'+q_{\beta,i}\|_{p;\sigma}
&\le \|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}\Bigl[\|f_i'\|_{p;\sigma}
+(|\psi_i(0)|+\|\psi_i'\|_{1;\sigma})\|m\|_{p;\sigma}
\\
&\quad +\|g_i\|_{\beta,p;\sigma}+\bigl(2\lambda_i|\varphi_i|
 +|f_i(0)|\bigl)\bigl(\|m\|_{p;\sigma}+\|m^0\|_{p;\sigma}\bigl)\Bigl]
\\
&\quad +T^{p-1\over p}\bigl(\|m\|_{p;\sigma}+\|m^0\|_{p;\sigma}\bigl)
 \cdot \lambda_i\|u_i'+q_{\beta,i}\|_{p;\sigma}.
\end{align*}
In the case \eqref{meeldus}, from this relation we obtain
\eqref{uest3}.


Further, differentiating \eqref{e1a} we have
\begin{equation}\label{pro1e7}
\begin{split}
D^\beta u_i'+\lambda_i u_i'
& =f_i'+D^\beta g_i+\bigl(\psi_i(0)-\lambda_i\varphi_i\bigl)m
 +(\psi_i'-\lambda_i u_i')*m \\
&\quad -\lambda_i\varphi_im^0-\lambda_i u_i'*m^0.
\end{split}
\end{equation}
Adding \eqref{pro1e7} and \eqref{pro1e6} we obtain
\begin{equation}\label{pro1e8}
\begin{split}
D^\beta (u_i'+q_{\beta,i})
&=-\lambda_i (u_i'+q_{\beta,i})+ f_i'+D^\beta g_i+\bigl(\psi_i(0)
 -\lambda_i\varphi_i\bigl)m\\
&\quad+(\psi_i'-\lambda_i u_i')*m-\lambda_i\varphi_im^0-\lambda_i u_i'*m^0.
\end{split}
\end{equation}
By the assumptions of the proposition and the relations $u_i'\in L_1(0,T)$,
$u_i'+q_{\beta,i}\in L_p(0,T)$,
the right-hand side of \eqref{pro1e8} belongs to $L_p(0,T)$. Therefore,
$D^\beta (u_i'+q_{\beta,i})\in L_p(0,T)$. This implies
the assertion $u'_i+q_{\beta,i}\in{}  _0H_p^{\beta}(0,T)$.
Estimating \eqref{pro1e8} we have
\begin{align*}
& \|u_i'+q_{\beta,i}\|_{\beta,p;\sigma}\\
&\le \lambda_i \|u_i'+q_{\beta,i}\|_{p;\sigma}+\|f_i'\|_{p;\sigma}
+\|g_i\|_{\beta,p;\sigma}
+\Bigl[|\psi_i(0)|+\|\psi_i'\|_{1;\sigma}\Bigl]\|m\|_{p;\sigma}
\\
&\quad +\Bigl[\lambda_i|\varphi_i|+\lambda_i\|q_{\beta,i}\|_{1;\sigma}
+T^{p-1\over p}\lambda_i \|u_i'+q_{\beta,i}\|_{p;\sigma}
\Bigl]\bigl(\|m\|_{p;\sigma}+\|m^0\|_{p;\sigma}\bigl).
\end{align*}
Using  \eqref{uest3}  for $\lambda_i \|u_i'+q_i\|_{p;\sigma}$, \eqref{Eestim}
for $\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}$,
\eqref{pro3lisa} for $\lambda_i\|q_{\beta,i}\|_{1;\sigma}$,  and
estimating $\|m\|_{p;\sigma}+\|m^0\|_{p;\sigma}$ by ${1\over 2}T^{p\over p-1}$
we obtain \eqref{uest3a}.
\end{proof}

\section{Uniqueness}

In the sequel we use the notations $u_i[\beta,m]$ and $u_i[m]$ to indicate
the dependence of the solution of \eqref{e1a} on the pair $(\beta,m)$ and $m$.


\begin{theorem} \label{thm2}
 Let $f_i,\psi_i\in H_r^{1-s_1}(0,T)\cap C[0,T]$,
 $g_i\in L_r(0,T)$, $I^{1-s_2}g_i\in L_\infty[0,T]$, $i=1,2,\ldots$ with some
$s_1\in [0,1)$, $s_2\in (0,1]$, $r\in (1,\infty)$ and $m^0\in L_1(0,T)$.
Moreover, assume
\begin{equation}\label{thm1as1}
\begin{gathered}
\sum_{i=1}^\infty |\gamma_i|\lambda_i|\varphi_i|<\infty,\quad
\sum_{i=1}^\infty |\gamma_i|\|f_i\|_{1-s_1,r}<\infty,\quad
\sum_{i=1}^\infty |\gamma_i|\|f_i\|_{\infty}<\infty,\\
\sum_{i=1}^\infty |\gamma_i|\|\psi_i\|_{1-s_1,r}<\infty,\quad
\sum_{i=1}^\infty |\gamma_i|\|\psi_i\|_{\infty}<\infty, \\
\sum_{i=1}^\infty |\gamma_i|\|g_i\|_r<\infty, \quad
\sum_{i=1}^\infty |\gamma_i|\|I^{1-s_2}g_i\|_\infty<\infty
\end{gathered}
\end{equation}
 and
\begin{equation} \label{thm1as2}
\sum_{i=1}^\infty \gamma_i (\lambda_i\varphi_i-f_i(0))\ne 0,\quad
\sum_{i=1}^\infty \gamma_i (\lambda_i\varphi_i-\psi_i(0))\ne 0.
\end{equation}
 If $(\beta_j,m_j)\in (s_1,s_2)\times L_1(0,T)$, $j=1,2$, are solutions of
the inverse problem, then $\beta_1=\beta_2$ and $m_1=m_2$.
\end{theorem}

\begin{proof} Without loss of
generality we may assume $r<\min \{{1\over 1-\beta_1};{1\over 1-\beta_2}\}$.
In  view of Proposition \ref{prop1}, the problems \eqref{e1a} with the data
$(\beta_j,m_j)\in (s_1,s_2)\times L_1(0,T)$
have unique solutions $u_{j,i}:=u_i[\beta_j,m_j]\in W_r^1(0,T)\subset C[0,T]$,
$i=1,2,\ldots$, $j=1,2$.
Due to \eqref{dominance} there exists $\sigma>0$ such that
$\|m_j\|_{1;\sigma}+\|m^0\|_{1;\sigma}\le {1\over 2}$, $j=1,2$.
In view of the estimates \eqref{uest1}, \eqref{uest2}, the assumptions
\eqref{thm1as1} and the equivalence relations
of weighted norms \eqref{sigekv} we have
\begin{equation}\label{thm1p0}
\sum_{i=1}^\infty |\gamma_i|\lambda_i \|u_{j,i}\|_{\infty}<\infty,\quad
\sum_{i=1}^\infty |\gamma_i| \|u_{j,i}'\|_{r}<\infty.
\end{equation}
This implies $\sum_{i=1}^\infty  \gamma_i\lambda_i u_{j,i}\in C[0,T]$,
$\sum_{i=1}^\infty  \gamma_i\lambda_i u_{j,i}\bigl|_{t=0}
=\sum_{i=1}^\infty  \gamma_i\lambda_i \varphi_i$
 and \break
$\sum_{i=1}^\infty  \gamma_i u_{j,i}'\in L_r(0,T)$.

Moreover, from \eqref{e2a} we obtain  $h'=\sum_{i=1}^\infty \gamma_i u_{j,i}'$,
$j=1,2$. In view of this relation, from \eqref{e1a} we deduce the expressions
\begin{equation}\label{thm1p1}
\begin{split}
&{t^{-\beta_j}\over \Gamma(1-\beta_j)}*(h'-\sum_{i=1}^\infty \gamma_i g_i)\\
&= \sum_{i=1}^\infty \gamma_i
(f_i-\lambda_i u_{j,i})+\sum_{i=1}^\infty \gamma_i(\psi_i-\lambda_i u_{j,i})*m_j
-\sum_{i=1}^\infty \gamma_i\lambda_i u_{j,i}*m^0,
\end{split}
\end{equation}
for $j=1,2$.
From the relations  $f_i,\psi_i\in C[0,T]$ and the third and fifth inequality
in \eqref{thm1as1} we have $\sum_{i=1}^\infty \gamma_i
f_i\in C[0,T]$ and $\sum_{i=1}^\infty \gamma_i
\psi_i\in C[0,T]$.  Therefore, the right-hand side of \eqref{thm1p1}
belongs to $C[0,T]$. We obtain
${t^{-\beta_j}\over \Gamma(1-\beta_j)}*(h'-\sum_{i=1}^\infty \gamma_i g_i)
\in C[0,T]$, $j=1,2$.
Taking the limit $t\to 0^+$ in \eqref{thm1p1}, we have
 \begin{equation}\label{thm1p1aa}
 \lim_{t\to 0^+}{t^{-\beta_j}\over \Gamma(1-\beta_j)}*(h'-\sum_{i=1}^\infty
\gamma_i g_i)= \sum_{i=1}^\infty \gamma_i
(f_i(0)-\lambda_i \varphi_i),\quad j=1,2.
\end{equation}
Suppose that $\beta_1< \beta_2$.  Then
$$
{t^{-\beta_1}\over \Gamma(1-\beta_1)}*(h' - \sum_{i=1}^\infty \gamma_i g_i)
={t^{\beta_2-\beta_1-1}\over \Gamma(\beta_2-\beta_1)}*\zeta(t),\quad
\zeta(t)=
{t^{-\beta_2}\over \Gamma(1-\beta_2)}*(h' - \sum_{i=1}^\infty \gamma_i g_i).
$$
Since  $\zeta\in C[0,T]$ it holds
$\lim_{t\to 0^+}{t^{\beta_2-\beta_1-1}\over \Gamma(\beta_2-\beta_1)}*\zeta(t)=0$.
Thus, $\lim_{t\to 0^+}{t^{-\beta_1}\over \Gamma(1-\beta_1)}
*(h'-\sum_{i=1}^\infty \gamma_i g_i)=0$. But this with
\eqref{thm1p1aa} contradicts to  the assumption \eqref{thm1as2}.
Similarly we reach the contradiction in case $\beta_1>\beta_2$.
Consequently, $\beta_1=\beta_2$.

Denote $\beta:=\beta_1=\beta_2$ and subtract the equalities \eqref{thm1p1}
with $j=2$ and $j=1$:
\begin{equation}\label{thm1p1a}
\begin{split}
&\sum_{i=1}^\infty \gamma_i(\psi_i-\lambda_i u_{1,i})*(m_1-m_2)
-\sum_{i=1}^\infty \gamma_i\lambda_i(u_{1,i}-u_{2,i})*(m_2+m^0) \\
&- \sum_{i=1}^\infty \gamma_i\lambda_i(u_{1,i}-u_{2,i})=0.
\end{split}
\end{equation}
The differences $v_i=u_{1,i}-u_{2,i}$, $i=1,2,\ldots$, solve the problems
\begin{equation}\label{thm1p2}
\begin{gathered}
{t^{-\beta}\over \Gamma(1-\beta)}*v_i'+\lambda_i v_i
=-\lambda_i v_i*(m_2+m^0) +(\psi_i-\lambda_i u_{1,i})*(m_1-m_2),\\
 v_i(0)=0.
\end{gathered}
\end{equation}
Let us consider the problems
\begin{equation}\label{thm1p3}
\begin{gathered}
{t^{-\beta}\over \Gamma(1-\beta)}*w_i'+\lambda_i w_i
=-\lambda_i w_i*(m_2+m^0)+\psi_i-\lambda_i u_{1,i}, \\
w_i(0)=0
\end{gathered}
\end{equation}
for $i=1,2,\ldots$.
By Proposition \ref{prop1}, these problems have the unique solutions
$w_i\in W_r^1(0,T)\subset C[0,T]$, $i=1,2,\ldots$ and
$\lambda_i\|w_i\|_{\infty;\sigma}
\le C_1(\|f_i\|_{\infty;\sigma}+\lambda_i\|u_{1,i}\|_{\infty;\sigma})$.
( \eqref{e1a} takes the form of \eqref{thm1p3},
if we replace the data vector $(f_i,g_i,\psi_i,m,m^0,\varphi)$
by $(\psi_i-\lambda_i u_{1,i},0,0,0,m_2+m^0,0)$.)
The properties of $w_i$ with \eqref{thm1as1} and \eqref{thm1p0} yield the relations
$\sum_{i=1}^\infty \gamma_i\lambda_i w_i\in C[0,T]$ and
$\sum_{i=1}^\infty \gamma_i\lambda_i w_i\Bigl|_{t=0}=0$.
One can immediately check  that
$v_i=w_i*(m_1-m_2)$ solves \eqref{thm1p2}.
By the uniqueness of the solution of \eqref{thm1p2}, it holds
$u_{1,i}-u_{2,i}=w_i*(m_1-m_2)$, $i=1,2,\ldots$. Consequently, we can
transform \eqref{thm1p1a} as follows:
\begin{equation}\label{thm1p4}
\sum_{i=1}^\infty \gamma_i\Bigl\{\psi_i-\lambda_i u_{1,i}
-\lambda_i w_i*(m_2+m^0)-\lambda_i w_i\Bigl\}*(m_1-m_2)(t)=0,
\end{equation}
for $t\in (0,T)$.
By Titchmarsh convolution theorem, there exist $T_1\ge 0$ and $T_2\ge 0$
such that $T_1+T_2=T$ and
\begin{equation}\label{taiendu2}
\sum_{i=1}^\infty \gamma_i\Bigl\{\psi_i-\lambda_i u_{1,i}
-\lambda_i w_i*(m_2+m^0)-\lambda_i w_i\Bigl\}(t)=0
\end{equation}
a.e. $t\in (0,T_1)$,  and
$(m^1-m^2)(t)=0$ a.e. $t\in (0,T_2)$. But since the function at the left-hand
side of \eqref{taiendu2} is continuous
and possesses the limit $\sum_{i=1}^\infty (\psi_i(0)-\lambda_i\varphi_i)\ne 0$
as $t\to 0^+$,  the equality $T_1=0$
is valid. Consequently,
$(m_1-m_2)(t)=0$  a.e. $t\in (0,T)$. This completes the proof.
\end{proof}

\section{Existence}

Let us introduce the function
\begin{equation}\label{Qdef}
Q_{\beta,\varphi,f}(t)=\sum_{i=1}^\infty \gamma_i q_{\beta,i}(t)t^{1-\beta} =
\sum_{i=1}^\infty \gamma_i \bigl(\lambda_i\varphi_i-f_i(0)\bigl)E_{\beta,\beta}
\bigl( -\lambda_i t^\beta\bigl).
\end{equation}
Firstly, we prove a proposition that gives a necessary consistency condition
for  $h'+Q_{\beta,\varphi,f}(t)t^{\beta-1}$.

\begin{proposition} \label{prop3}
 Let $(\beta,m) \in (0,1)\times L_p(0,T)$  with some $p\in (1,\infty)$ solve IP.
Assume that $f_i\in W_p^1(0,T)$, $\psi_i\in W_1^1(0,T)$,
$g_i\in{}  _0H_p^{\beta}(0,T)$, $i=1,2,\ldots$, $m^0\in L_p(0,T)$ and
\begin{equation}\label{pro4as1}
\begin{gathered}
\sum_{i=1}^\infty |\gamma_i|\lambda_i|\varphi_i|<\infty,\quad
\sum_{i=1}^\infty  |\gamma_i| \|f_i\|_{W_p^1(0,T)}<\infty,\\
\sum_{i=1}^\infty  |\gamma_i| \|\psi_i\|_{W_1^1(0,T)}<\infty,\quad
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{\beta,p}<\infty.
\end{gathered}
\end{equation}
Then $h'+Q_{\beta,\varphi,f}(t)t^{\beta-1}\in{}  _0H_p^{\beta}(0,T)$.
\end{proposition}

\begin{proof}
Since $_0H_p^\beta(0,T)\hookrightarrow L_r(0,T)$ and
$W_1^1(0,T)\hookrightarrow H_r^{1-\beta}(0,T)$ for
$r\in (1,{1\over 1-\beta})$, $r\le p$,
 Proposition \ref{prop1} yields $u_i\in W_r^1(0,T)$. Moreover, \eqref{pro4as1}
implies the inequalities
$\sum_{i=1}^\infty  |\gamma_i| \|f_i\|_{1-\beta,r}<\infty$,
$\sum_{i=1}^\infty  |\gamma_i| \|\psi_i\|_{1-\beta,r}<\infty$ and
$\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{r}<\infty$. There exist
$\sigma$ such that \eqref{meeldus} (hence also \eqref{meeldus0})
is valid.
Applying \eqref{uest1} we obtain the relation
$\sum_{i=1}^\infty |\gamma_i| \|u_i'\|_{r;\sigma}<\infty$. Thus,
$h'=\sum_{i=1}^\infty \gamma_i u_i'\in L_r(0,T)$.
Further, \eqref{uest3a} with \eqref{pro4as1} implies
$\sum_{i=1}^\infty |\gamma_i| \|u_i'+q_{\beta,i}\|_{\beta,p;\sigma}<\infty$.
Since $h'(t)+Q_{\beta,\varphi,f}(t)t^{\beta-1}
=\sum_{i=1}^\infty \gamma_i (u_i'+q_{\beta,i})(t)$, we deduce
$\|h'+Q_{\beta,\varphi,f}(t)t^{\beta-1}\|_{\beta,p;\sigma}<\infty$.
This with Lemma \ref{lem1} implies the assertion of the proposition.
\end{proof}

For the statement and proof of an existence theorem, we define the following
balls in the space $L_p(0,T)$:
$$
B_{\varrho,\sigma}=\{w\in L_p(0,T): \|w\|_{p;\sigma}\le \varrho\}
$$
and introduce the notation
$$
d=\Bigl(\varphi_i|_{i=1,\ldots,\infty},f_i|_{i=1,\ldots,\infty},\psi_i|_{i=1,\ldots,\infty},
g_i|_{i=1,\ldots,\infty},m^0,h\Bigl)
$$
for the data vector of IP.


\begin{theorem} \label{thm3}
 Let $f_i\in W_p^1(0,T)$, $\psi_i\in W_1^1(0,T)$, $i=1,2,\ldots$, $m^0\in L_p(0,T)$
with some $p\in (1,\infty)$
and
\begin{equation}\label{thm2as0}
\begin{gathered}
\sum_{i=1}^\infty |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|<\infty,\quad
\sum_{i=1}^\infty |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|<\infty,\quad
\sum_{i=1}^\infty  |\gamma_i| \|f_i'\|_{L_p(0,T)}<\infty, \\
\sum_{i=1}^\infty |\gamma_i|\lambda_i^{\epsilon}|\psi_i(0)|<\infty,\quad
\sum_{i=1}^\infty  |\gamma_i| \|\psi_i'\|_{L_1(0,T)}<\infty
\end{gathered}
\end{equation}
with some $\epsilon \in (0,1]$.
Moreover,  $b\in (0,1)$ be such that
\begin{equation}\label{thm2as2}
h'+Q_{b,\varphi,f}(t)t^{b-1}\in {}  _0H_p^{b}(0,T)
\end{equation}
and $g_i\in{}  _0H_p^{s}(0,T)$, $i=1,2,\ldots$ and
\begin{equation}\label{thm2as1}
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{s,p}<\infty
\end{equation}
with some $s\ge b$.
Finally, assume the conditions
\begin{gather}\label{thm2ne}
\sum_{i=1}^\infty\gamma_i\bigl(\lambda_i\varphi_i-\psi_i(0)\bigl)\ne 0,\\
\label{thm2cons}
h(0)=\sum_{i=1}^\infty\gamma_i\varphi_i.
\end{gather}
Then there exists $\sigma_0[d]$ such that for $\sigma=\sigma_0[d]$ it holds
\begin{equation}\label{omegad}
\omega_\sigma[d]:=
\widehat C|\kappa[d]|N_\sigma[d]\le {1\over 2},
\end{equation}
where
\begin{equation} \label{Nd}
\begin{aligned}
N_\sigma[d] &= \|h'+Q_{b,\varphi,f}(t)t^{b-1}\|_{b,p;\sigma}+
\Bigl[\sum_{i=1}^\infty  |\gamma_i|\lambda_i|\varphi_i|
+\sum_{i=1}^\infty  |\gamma_i||\psi_i(0)|\Bigl]\|m^0\|_{p;\sigma}
\\
&\quad +\Bigl\{{1\over\sigma^{b\epsilon}}
\Bigl[\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|
+\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|\psi_i(0)|\Bigl]
\\
&\quad +\sum_{i=1}^\infty  |\gamma_i| \|f_i'\|_{p;\sigma}
 +\sum_{i=1}^\infty  |\gamma_i| \|\psi_i'\|_{1;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{b,p;\sigma}\Bigl\}
\bigl(1+\|m^0\|_{p;\sigma}\bigl),
\end{aligned}
\end{equation}
\begin{gather}
\widehat C= (3C_2+4T^{p-1\over p}+2)(C_2+1)(c_{b,\epsilon}+1)(T^{p-1\over p}+1),
\nonumber \\
\label{varkappa}
\kappa[d]= \Bigl[\sum_{i=1}^\infty\gamma_i\bigl(\psi_i(0)
 -\lambda_i\varphi_i\bigl)\Bigl]^{-1}.
\end{gather}
Moreover, IP has a solution $(\beta,m)$ such that
$\beta=b$ and $m$ belongs to $B_{\varrho_\sigma[d],\sigma}$, where $\sigma$
is any number satisfying \eqref{omegad} and
\[
\varrho_\sigma[d]
=\overline C\bigl|\kappa[d]\bigl|R_\sigma[d]
\]
with
\begin{equation} \label{thm2as3}
\begin{aligned}
&R_\sigma[d] \\
&= \|h'+Q_{\beta,\varphi,f}(t)t^{\beta-1}\|_{\beta,p;\sigma}\\
&\quad +\sum_{i=1}^\infty  |\gamma_i|\lambda_i|\varphi_i|\|m^0\|_{p;\sigma}
+\Bigl\{{1\over\sigma^{\beta\epsilon}}\Bigl[\sum_{i=1}^\infty
 |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|\Bigl]\\
&\quad +\sum_{i=1}^\infty  |\gamma_i| \|f_i'\|_{p;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{\beta,p;\sigma}\Bigl\}
 \bigl(1+\|m^0\|_{p;\sigma}\bigl),
\end{aligned}
\end{equation}
where $\overline C=2(C_2+1)(c_{\beta,\epsilon}+1)(T^{p-1\over p}+1)$.
\end{theorem}

\begin{proof}
Since $\|f_i'\|_{p;\sigma}\to 0$, $\|\psi_i'\|_{1;\sigma}\to 0$,
 $\|g_i\|_{b,p;\sigma}\to 0$ as $\sigma\to \infty$ for all $i$ and
\begin{gather*}
\sum_{i=1}^\infty |\gamma_i|\|f_i'\|_{p;\sigma}
\le \sum_{i=1}^\infty |\gamma_i|\|f_i'\|_{p}<\infty, \\
\sum_{i=1}^\infty |\gamma_i|\|\psi_i'\|_{1;\sigma}
\le \sum_{i=1}^\infty |\gamma_i|\|\psi_i'\|_{1}<\infty, \\
\sum_{i=1}^\infty |\gamma_i|\|g_i\|_{b,p;\sigma}
\le  \sum_{i=1}^\infty |\gamma_i|\|g_i\|_{b,p}<\infty,
\end{gather*}
the dominated convergence theorem for series implies
\[
\sum_{i=1}^\infty |\gamma_i|\|f_i'\|_{p;\sigma}\to 0,\quad
\sum_{i=1}^\infty |\gamma_i|\|\psi_i'\|_{1;\sigma}\to 0, \quad
\sum_{i=1}^\infty |\gamma_i|\|g_i\|_{b,p;\sigma}\to 0
\]
as $\sigma\to\infty$.
 Moreover, $\|h'+Q_{b,\varphi,f}(t)t^{\beta-1}\|_{b,p;\sigma}\to 0$ and
$\|m^0\|_{p;\sigma}\to 0$ as $\sigma\to \infty$.
Consequently, there exists such  $\sigma=\sigma_0[d]$ that \eqref{omegad}
is valid.

Let $\sigma$ be some number satisfying \eqref{omegad}.
 Setting $\beta=b$, it remains to show that there exists a suitable
$m\in B_{\varrho_\sigma[d],\sigma}$ such that
the pair $(\beta,m)$ solves IP. Let us consider the following equation for $m$:
\begin{equation}\label{thm2eq1}
   \begin{split}
&D^\beta \bigl(h'+Q_{\beta,\varphi,f}(t)t^{\beta-1}\bigl)\\
&=-\sum_{i=1}^\infty\gamma_i\lambda_i (u_i'+q_{\beta,i})
 +\sum_{i=1}^\infty\gamma_i(f_i'+D^\beta g_i)\\
&\quad +\sum_{i=1}^\infty\gamma_i\bigl(\psi_i(0)-\lambda_i\varphi_i\bigl)m
 +\sum_{i=1}^\infty\gamma_i\bigl(\psi_i'-\lambda_i(u_i'+q_{\beta,i})+
\lambda_iq_{\beta,i}\bigl)*m
\\
&\quad -\sum_{i=1}^\infty\gamma_i\lambda_i\varphi_i m^0
 -\sum_{i=1}^\infty\gamma_i\bigl(\lambda_i(u_i'+q_{\beta,i})
 -\lambda_iq_{\beta,i}\bigl)*m^0,
\end{split}
\end{equation}
where $u_i=u_i[m]$ is the solution of \eqref{e1a}. Due to the assumptions
of the theorem, Proposition \ref{prop2}, \eqref{pro3lisa} and
\eqref{Young}, all terms in \eqref{thm2eq1} belong to  $L_p(0,T)$
provided $m\in L_p(0,T)$.
Therefore, this equation is well-defined.

Firstly, let us show that if $m\in L_p(0,T)$ solves \eqref{thm2eq1},
then the pair $(\beta,m)$ solves IP.
Suppose that $m\in L_p(0,T)$ solves \eqref{thm2eq1}.
Substituting $Q_{\beta,\varphi,f}(t)t^{\beta-1}$ by
$\sum_{i=1}^\infty\gamma_i q_{\beta,i}$, $u_i+q_{\beta,i}-q_{\beta,i}$ by $u_i'$
in \eqref{thm2eq1}
and integrating from $0$ to $t$ we obtain
\begin{equation}\label{thm2eq2}
\begin{split}
{t^{-\beta}\over \Gamma(1-\beta)} *\bigl(h'
+\sum_{i=1}^\infty\gamma_i q_{\beta,i}\bigl) 
&= -\sum_{i=1}^\infty\gamma_i\lambda_i u_i
 +\sum_{i=1}^\infty\gamma_if_i+{t^{-\beta}\over \Gamma(1-\beta)}
 *\sum_{i=1}^\infty\gamma_i  g_i \\
&\quad +\sum_{i=1}^\infty\gamma_i\bigl(\psi_i-\lambda_iu_i\bigl)*m
 -\sum_{i=1}^\infty\gamma_i\lambda_i u_i*m^0\\
&\quad -\sum_{i=1}^\infty\gamma_i \lambda_i I^1q_{\beta,i}
 + \sum_{i=1}^\infty \gamma_i\bigl(\lambda_i\varphi_i-f_i(0)\bigl).
\end{split}
\end{equation}
From  \eqref{e1a} we obtain
\begin{equation}\label{thm2eq4a}
\begin{split}
{t^{-\beta}\over \Gamma(1-\beta)}*\sum_{i=1}^\infty \gamma_i u_i'
&=-\sum_{i=1}^\infty \gamma_i\lambda_i u_i
+\sum_{i=1}^\infty \gamma_i f_i+{t^{-\beta}\over \Gamma(1-\beta)}
 *\sum_{i=1}^\infty \gamma_i g_i\\
&\quad +\sum_{i=1}^\infty \gamma_i (\psi_i-\lambda_i u_i)*m-
\sum_{i=1}^\infty\gamma_i\lambda_i u_i*m^0
\end{split}
\end{equation}
and from \eqref{pro1e6a} we deduce
\begin{equation} \label{thm2eq4}
{t^{-\beta}\over \Gamma(1-\beta)}*\sum_{i=1}^\infty\gamma_i q_{\beta,i} 
=- \sum_{i=1}^\infty\gamma_i\lambda_i I^1q_{\beta,i}
 +\sum_{i=1}^\infty\gamma_i\bigl(\lambda_i\varphi_i-f_i(0)\bigl).
\end{equation}
Subtracting  the sum of \eqref{thm2eq4a} and \eqref{thm2eq4}
from \eqref{thm2eq2} we have
$$
{t^{-\beta}\over \Gamma(1-\beta)} *\bigl(h'-\sum_{i=1}^\infty \gamma_i u_i'\bigl)=0,
\quad t\in (0,T).
$$
This implies $h'-\sum_{i=1}^\infty \gamma_i u_i'=0$ for $t\in (0,T)$.
Integrating from $0$ to $t$ and using the assumption
\eqref{thm2cons} we obtain \eqref{e2a}. This proves that the pair $(\beta,m)$
is a solution of IP.

Secondly, let us  denote $\omega=\omega_\sigma[d]$, $\varrho=\varrho_\sigma[d]$,
$\kappa=\kappa[d]$ and
show that the equation \eqref{thm2eq1} has a unique solution $m$ in the ball
$B_{\varrho,\sigma}$. To this end, we rewrite this equation in the fixed-point
form
\begin{equation}\label{thm2fix}
m=\mathcal{F}m,
\end{equation}
where
\begin{equation}\label{thm2F}
\begin{split}
\mathcal{F}m &=\kappa \Bigl\{D^\beta \bigl(h'+Q_{\beta,\varphi,f}(t)
 t^{\beta-1}\bigl)+\sum_{i=1}^\infty\gamma_i\lambda_i (u_i[m]'+q_{\beta,i}) \\
&\quad -\sum_{i=1}^\infty\gamma_i(f_i'-D^\beta g_i)
 -\sum_{i=1}^\infty\gamma_i\bigl(\psi_i'-\lambda_i(u_i[m]'+q_{\beta,i})
 +\lambda_iq_{\beta,i}\bigl)*m \\
&\quad+\sum_{i=1}^\infty\gamma_i\lambda_i\varphi_i m^0
 +\sum_{i=1}^\infty\gamma_i\bigl(\lambda_i(u_i[m]'
+q_{\beta,i})-\lambda_iq_{\beta,i}\bigl)*m^0\Bigl\}.
\end{split}
\end{equation}
In view of \eqref{Eestim1}, \eqref{qi} and \eqref{thm2as0} it holds
\begin{equation}\label{thm2qi}
\begin{aligned}
\bigl\|\sum_{i=1}^\infty \gamma_i \lambda_i q_{\beta,i}\bigl\|_{1,\sigma}
&\le \sum_{i=1}^\infty |\gamma_i| \lambda_i \|q_{\beta,i}\|_{1,\sigma} \\
&\le {c_{\beta,\epsilon}\over \sigma^{\beta\epsilon}}
\Bigl[\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1 + \epsilon}|\varphi_i| +
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|\Bigl].
\end{aligned}
\end{equation}

Let $m\in B_{\varrho,\sigma}$, i.e. $\|m\|_{p;\sigma}\le \varrho$.
From the definitions of $\omega$ and $\varrho$ and \eqref{Nd} we deduce that
$T^{p-1\over p}\|m^0\|_{p;\sigma}\le {\omega\over 2}\le {1\over 4}$ and
$T^{p-1\over p}\varrho\le {\omega\over 2}\le {1\over 4}$. Thus, the relation
\eqref{meeldus} is valid.
By means of the assumptions of the theorem,  \eqref{Eestim}, \eqref{Eestim1},
\eqref{uest3} and \eqref{thm2qi}
 we estimate:
\begin{align*}
& \|\mathcal{F}m\|_{p;\sigma}\\
&\le |\kappa|\Bigl\{ \|h'+Q_{\beta,\varphi,f}(t)t^{\beta-1}\|_{\beta,p;\sigma}
+{C_2 c_{\beta,\epsilon}\over \sigma^{\beta\epsilon}}
\Bigl[\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|
\\
&\quad +\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|\Bigl]
+C_2\Bigl[{c_{\beta,\epsilon}\over \sigma^{\beta\epsilon}}\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|\psi_i(0)|+
\sum_{i=1}^\infty  |\gamma_i|\|\psi_i'\|_{1;\sigma}\Bigl]\|m\|_{p;\sigma}
\\
&\quad +C_2\Bigl[\sum_{i=1}^\infty  |\gamma_i| \|f_i'\|_{p;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{\beta,p;\sigma}\Bigl]
+\sum_{i=1}^\infty  |\gamma_i| \|f_i'\|_{p;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{\beta,p;\sigma}
\\
&\quad +\Bigl\{\sum_{i=1}^\infty  |\gamma_i|\|\psi_i'\|_{1;\sigma}
+{C_2 c_{\beta,\epsilon}T^{p-1\over p}\over \sigma^{\beta\epsilon}}\Bigl[\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|\Bigl]
\\
&\quad +C_2T^{p-1\over p}\Bigl[{c_{\beta,\epsilon}\over \sigma^{\beta\epsilon}}\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|\psi_i(0)|+
\sum_{i=1}^\infty  |\gamma_i|\|\psi_i'\|_{1;\sigma}\Bigl]\|m\|_{p;\sigma}
\\
&\quad +C_2T^{p-1\over p}\Bigl[\sum_{i=1}^\infty  |\gamma_i| \|f_i'\|_{p;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{\beta,p;\sigma}\Bigl]
\\
&\quad +{c_{\beta,\epsilon}\over \sigma^{\beta\epsilon}}\Bigl[\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|\Bigl]\Bigl\}\|m\|_{p;\sigma}
\\
&\quad +\sum_{i=1}^\infty  |\gamma_i|\lambda_i|\varphi_i|\|m^0\|_{p;\sigma}+
\Bigl\{{C_2 c_{\beta,\epsilon}T^{p-1\over p}\over \sigma^{\beta\epsilon}}\Bigl[\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|\Bigl]
\\
&\quad +C_2T^{p-1\over p}\Bigl[{c_{\beta,\epsilon}\over \sigma^{\beta\epsilon}}\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|\psi_i(0)|+
\sum_{i=1}^\infty  |\gamma_i|\|\psi_i'\|_{1;\sigma}\Bigl]\|m\|_{p;\sigma}
\\
&\quad +C_2T^{p-1\over p}\Bigl[\sum_{i=1}^\infty  |\gamma_i| \|f_i'\|_{p;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{\beta,p;\sigma}\Bigl]+
{c_{\beta,\epsilon}\over \sigma^{\beta\epsilon}}\Bigl[\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|
\\
&\quad +\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|\Bigl]\Bigl\}\|m^0\|_{p;\sigma}
\Bigl\}.
\end{align*}
Estimating $\|m\|_{p;\sigma}$ by $\varrho$ and
 $\|m\|_{p;\sigma}^2$ by
$T^{p\over p-1}{\varrho\over 4}$ and simplifying we obtain
$$
\|\mathcal{F}m\|_{p;\sigma}\le {\varrho\over 2}+\omega_1\varrho,
$$
where
\begin{align*}
 \omega_1
&= \widehat C_1|\kappa|\Bigl\{{1\over \sigma^{\beta\epsilon}}
 \Bigl[\sum_{i=1}^\infty
 |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|\psi_i(0)|\Bigl]
\\
&\quad +\sum_{i=1}^\infty  |\gamma_i| \|f_i'\|_{p;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|\psi_i'\|_{1;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{\beta,p;\sigma}\Bigl\}
\bigl(1+\|m^0\|_{p;\sigma}\bigl)
\end{align*}
with
\begin{align*}
 \widehat C_1
&=\max\{c_{\beta,\epsilon}(1 + {5C_2\over 4} + C_2T^{p-1\over p});1
+ {5C_2\over 4} + C_2T^{p-1\over p}\}\\
&\le {5\over 4}(C_2 + 1)(c_{\beta,\epsilon} + 1)(T^{p-1\over p}  + 1).
\end{align*}
Since $\omega_1\le {\omega}\le {1\over 2}$ we have
$\|\mathcal{F}m\|_{p;\sigma} \le {\varrho\over 2}+{\varrho\over 2}\le \varrho$.
Thus, the operator $\mathcal{F}$ maps
$B_{\varrho,\sigma}$ into $B_{\varrho,\sigma}$.

Let $m_1,m_2\in B_{\varrho,\sigma}$. Then the difference $v_i=u_i[m_1]-u_i[m_2]$
solves the problem
\begin{equation}\label{vrel}
{t^{-\beta}\over \Gamma(1-\beta)}*v_i'+\lambda_i v_i
 = \overline f_i-\lambda_i v_i*(m_2+m^0),
\quad v_i(0)=0,
\end{equation}
where
$$
\overline f_i=\bigl(\psi_i-\lambda_i u_i[m_1]\bigl)*(m_1-m_2).
$$
By the vanishing initial condition and $\overline f_i(0)=0$,
the function \eqref{qi}, related to $v_i$ is equal to zero.
Moreover,
$T^{p-1\over p}\|m_2\|_{p;\sigma}+T^{p-1\over p}\|m^0\|_{p;\sigma}\le  {1\over 2}$.
Therefore, \eqref{uest3} applied to \eqref{vrel} yields
\begin{align*} %\label{thm2vest}
\lambda_i\|v_i'\|_{p;\sigma}
&\le C_2\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma} \|\overline f'\|_{p;\sigma}=
C_2\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
 \bigl\|\bigl(\psi_i(0)-\lambda_i\varphi_i\bigl)(m_1-m_2)
\\
&\quad +\bigl[\psi_i'-\lambda_i (u_i[m_1]'+q_{\beta,i})
 +\lambda_i q_{\beta,i}\bigl]*(m_1-m_2)\bigl\|_{p;\sigma}
\\
&\le C_2\|\lambda_i \widetilde E_{\beta,i}\|_{1;\sigma}
\Bigl[ |\psi_i(0)|+\lambda_i |\varphi_i|+\|\psi_i'\|_{1;\sigma}
\\
&\quad +T^{p-1\over p}\lambda_i\|u_i[m_1]'+q_{\beta,i}\|_{p;\sigma}
+\lambda_i\|q_{\beta,i}\|_{1;\sigma}\Bigl]\|m_1-m_2\|_{p;\sigma}.
\end{align*}
Using the estimate \eqref{uest3} for $u_i[m_1]'+q_{\beta,i}$, the relation
$\|m\|_{p;\sigma}\le T^{p\over p-1}{1\over 4}$ for $\|m\|_{p;\sigma}$
in this estimate as well as \eqref{Eestim}, \eqref{Eestim1}, \eqref{thm2as0}, \eqref{thm2as1}
and \eqref{thm2qi}
we obtain
\begin{equation}\label{thm2vest1}
\sum_{i=1}^\infty |\gamma_i|\lambda_i\|v_i'\|_{p;\sigma}
\le \omega_2 \|m_1-m_2\|_{p;\sigma},
\end{equation}
where
\begin{equation}
\begin{aligned}
\omega_2 & = \widehat C_2
\Bigl\{{1\over \sigma^{\beta\epsilon}}\Bigl[\sum_{i=1}^\infty
 |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i(0)|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|\psi_i(0)|\Bigl]
\\
&\quad +\sum_{i=1}^\infty  |\gamma_i| \|f_i'\|_{p;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|\psi_i'\|_{1;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|g_i\|_{\beta,p;\sigma}\Bigl\}
\end{aligned}
\end{equation}
with
\begin{align*}
\widehat C_2
&=C_2\max\{c_{\beta,\epsilon}(T^{p-1\over p}C_2+2);
c_{\beta,\epsilon}({C_2\over 4}+1);C_2T^{p-1\over p};{C_2\over 4}\}
\\
&\le 2C_2(C_2+1)(c_{\beta,\epsilon}+1)(T^{p-1\over p}+1).
\end{align*}
Further, from \eqref{thm2F} we have
\begin{align*}
\mathcal{F}m_1-\mathcal{F}m_2
&=\kappa \Bigl\{ \sum_{i=1}^\infty \gamma_i\lambda_iv_i'+
\sum_{i=1}^\infty\gamma_i\lambda_i v_i'*(m_2-m^0)
\\
&\quad -\sum_{i=1}^\infty\gamma_i\bigl(\psi_i'-\lambda_i(u_i[m_1]'
+q_{\beta,i})+\lambda_iq_{\beta,i}\bigl) *(m_1-m_2)\Bigl\},
\end{align*}
hence
\begin{align*}
&\|\mathcal{F}m_1-\mathcal{F}m_2\|_{p;\sigma}\\
&\le|\kappa|
\Bigl\{{3\over 2} \sum_{i=1}^\infty |\gamma_i|\lambda_i\|v_i'\|_{p;\sigma}
+\sum_{i=1}^\infty|\gamma_i|\|\psi_i'\|_{1;\sigma}\\
&\quad + T^{p-1\over p}\sum_{i=1}^\infty|\gamma_i|\lambda_i\|u_i[m_1]'
+q_{\beta,i}\|_{p;\sigma}+
\sum_{i=1}^\infty|\gamma_i|\lambda_i\|q_{\beta,i}\|_{1;\sigma}\Bigl\}
\|m_1-m_2\|_{p;\sigma}.
\end{align*}
Using the estimates \eqref{uest3}, \eqref{thm2qi} and \eqref{thm2vest1} we obtain
\begin{align*}
\|\mathcal{F}m_1-\mathcal{F}m_2\|_{p;\sigma}
\le \bigl({3\over 2}|\kappa|\omega_2+\omega_1\bigl)\|m_1-m_2\|_{p;\sigma}.
\end{align*}
Since ${3\over 2}|\kappa|\omega_2+\omega_1\le\omega\le {1\over 2}$ we obtain
 $\|\mathcal{F}m_1-\mathcal{F}m_2\|_{p;\sigma}\le {1\over 2}\|m_1-m_2\|_{p;\sigma}$.
This shows that $\mathcal{F}$ is a contraction in
 the ball $B_{\varrho,\sigma}$. By Banach fixed-point principle, the equation
\eqref{thm2fix} has a unique solution in
$B_{\varrho,\sigma}$. The proof is complete.
\end{proof}

The following theorem gives an explicit formula for the component
$\beta$ of the solution of the inverse problem.

\begin{theorem} \label{thm4}
 Let
\[
\sum_{i=1}^\infty |\gamma_i|\bigl(\lambda_i|\varphi_i|+|f_i(0)|\bigl) < \infty,\quad
\sum_{i=1}^\infty \gamma_i (\lambda_i\varphi_i-f_i(0))\ne 0
\]
and  $h'+Q_{\beta,\varphi,f}(t)t^{\beta-1}\in{}  _0H_p^{\beta}(0,T)$
for some $p\in (1,\infty)$ and $\beta\in (0,1)$.
Then
\begin{equation}\label{betaform}
\beta=\mu(h):=\lim_{t\to 0^+}{\ln |h(t)-h(0)|\over \ln t}.
\end{equation}
\end{theorem}

\begin{proof}
By Lemma \ref{lem1}, there exists $z\in L_p(0,T)$ such that
 $h'+Q_{\beta,\varphi,f}(t)t^{\beta-1}=I^\beta z$. Integrating this formula
from $0$ to $t$ we have
$$
h(t)-h(0)+\sum_{i=0}^\infty \gamma_i \bigl(\lambda_i\varphi_i
-f_i(0)\bigl)\int_0^t E_{\beta,\beta}(-\lambda_i \tau)\tau^{\beta-1}d\tau=
I^{1+\beta} z(t).
$$
Since $\int_0^tE_{\beta,\beta}(-\lambda_i \tau)
\tau^{\beta-1}d\tau=t^\beta E_{\beta,\beta+1}(-\lambda_i t^\beta)$
(\cite[(4.4.4)]{ML}), we obtain
${h(t)-h(0)\over t^\beta}=Z(t)$
with
$$
Z(t)=-\sum_{i=0}^\infty \gamma_i \bigl(\lambda_i\varphi_i -f_i(0)\bigl)E_{\beta,\beta+1}(-\lambda_i t^\beta)+
t^{-\beta}I^{1+\beta} z(t).
$$
Let us compute the limit of $Z(t)$ in case $t\to 0^+$. We have
$$
c=:-\lim_{t\to 0^+}\sum_{i=0}^\infty \gamma_i
\bigl(\lambda_i\varphi_i -f_i(0)\bigl)E_{\beta,\beta+1}
(-\lambda_i t^\beta)=-{1\over \Gamma(\beta+1)}\sum_{i=0}^\infty \gamma_i
\bigl(\lambda_i\varphi_i -f_i(0)\bigl)
$$
and
\begin{align*}
 \bigl|t^{-\beta}I^{1+\beta} z(t)\bigl|
&=\Bigl|t^{-\beta}\int_0^t{(t-\tau)^\beta\over \Gamma(\beta+1)}z(\tau)d\tau\Bigl|\\
&\le t^{-\beta}\Bigl[\int_0^t \Bigl({(t-\tau)^\beta\over \Gamma(\beta+1)}
 \Bigl)^{p\over p-1}d\tau\Bigl]^{p-1\over p}
\|z\|_{L_p(0,t)}\\
&={t^{p-1\over p}\over \Gamma(\beta+1)({\beta p\over p-1}+1)^{p-1\over p}}
\|z\|_{L_p(0,t)} \to 0\quad \text{as }t\to 0^+.
\end{align*}
Thus $\lim_{t\to 0^+}Z(t)=c\ne 0$. Taking logarithms the relation
\begin{equation}\label{betaeq}
{|h(t)-h(0)|\over t^\beta}=|Z(t)|
\end{equation}
and solving for $\beta$ we obtain
\[ %\label{betaform2}
\beta={\ln|h(t)-h(0)|-\ln|Z(t)|\over \ln t}.
\]
Taking the limit $t\to 0^+$ and observing that
$\lim_{t\to 0^+}{\ln|Z(t)|\over \ln t}=0$ we arrive at
\eqref{betaform}.
\end{proof}

\begin{remark} \label{rmk4} \rm
In practical computations, we can apply the formula \eqref{betaform}
only approximately, i.e.
$\beta\approx {\ln |h(t_1)-h(0)|\over \ln t_1}$, where $t_1$ is
some small value of the time.
It is possible increase the accuracy of computation of $\beta$ incorporating
the principal term of $Z(t)$, too.
Namely, in the proof of Theorem \ref{thm4} we saw that
\[
Z(t)\sim c=-{1\over \Gamma(\beta+1)}\sum_{i=0}^\infty \gamma_i
\bigl(\lambda_i\varphi_i -f_i(0)\bigl)
\]
 as $t\to 0^+$.
Thus, from \eqref{betaeq} we obtain
\[
{|h(t)-h(0)|\over t^\beta}\approx {1\over \Gamma(\beta+1)}\Bigl|
\sum_{i=0}^\infty \gamma_i
\bigl(\lambda_i\varphi_i -f_i(0)\bigl)\Bigl|
\]
 if $t\approx 0$. From this relation we deduce
the following approximate equation for  $\beta$ that is applicable in
 case of small $t_1$:
\begin{equation}\label{betaequ}
{|h(t_1)-h(0)|\over
\Bigl|\sum_{i=0}^\infty \gamma_i
\bigl(\lambda_i\varphi_i -f_i(0)\bigl)\Bigl|}
={t_1^{\tilde\beta}\over \Gamma(\tilde\beta+1)}.
\end{equation}
\end{remark}


\section{Stability}

Under the conditions of Theorem \ref{thm4}, the stability of $\beta$ with
respect to  $h$ is immediate.
Let 
$\bigl(\beta,\varphi_i|_{i=1,\ldots,\infty},f_i|_{i=1,\ldots,\infty},h\bigl)$ and
$\bigl(\widetilde\beta,\widetilde\varphi_i|_{i=1,\ldots,\infty},\widetilde
 f_i|_{i=1,\ldots,\infty},\widetilde h\bigl)$ satisfy the assumptions of
Theorem \ref{thm4}.
Then $\mu(\widetilde h)\to \mu(h)$ implies
$\widetilde\beta\to\beta$. Moreover, $d_0(h_1,h_2):=|\mu(h_1)-\mu(h_2)|$,
$h_1,h_2\in {\scriptstyle\mathcal{H}}$, defines a pseudometric
on elements of the space
${\scriptstyle\mathcal{H}}:=\{ h: \text{$\mu(h)$ exists and is finite}\}$.
Thus, $|\widetilde\beta-\beta|=d_0(\widetilde h,h)$.

Next we prove a theorem concerning the local Lipschitz-continuity of
the component $m$ of the solution of IP with respect to the data.

\begin{theorem} \label{thm5}
 Let the data vectors
\begin{gather*}
d=\Bigl(\varphi_i|_{i=1,\ldots,\infty},f_i|_{i=1,\ldots,\infty},
\psi_i|_{i=1,\ldots,\infty},
g_i|_{i=1,\ldots,\infty},m^0,h\Bigl), \\
\widetilde d=\Bigl(\widetilde\varphi_i|_{i=1,\ldots,\infty},\widetilde
 f_i|_{i=1,\ldots,\infty},\widetilde\psi_i|_{i=1,\ldots,\infty},
\widetilde g_i|_{i=1,\ldots,\infty},\widetilde m^0,\widetilde h\Bigl)
\end{gather*}
satisfy the assumptions of Theorem \ref{thm2} with same parameters $p,\epsilon,b$ and $s$.
 Let $(\beta,m)$ and $(\beta,\widetilde m)$ with $\beta=b$ be the solutions of IP
corresponding to the data $d$ and $\widetilde d$, respectively.
Let $\sigma_1[d]$ be a sufficiently large number such that for
$\sigma=\sigma_1[d]$ the relation
\begin{equation}\label{thm4re1}
\begin{split}
&\widehat C |\kappa[d]|\Bigl[N_{\sigma}[d^\dagger]+
\Bigl[\sum_{i=1}^\infty |\gamma_i| |\psi_i(0)|
 +\sum_{i=1}^\infty |\gamma_i|\lambda_i|\varphi_i|\Bigl]\|m+m^0\|_{p;\sigma}
\\
&+\Bigl\{{1\over \sigma^{\beta\epsilon}}\Bigl[
\sum_{i=1}^\infty |\gamma_i|\lambda_i^\epsilon |\psi_i(0)|
+\sum_{i=1}^\infty |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|\Bigl]+
\sum_{i=1}^\infty |\gamma_i|\|\psi_i'\|_{1;\sigma}
\\
&+\sum_{i=1}^\infty |\gamma_i|\lambda_i\|u_i'[m]\|_{1;\sigma}\Bigl\} \bigl(1+
\|m+m^0\|_{p;\sigma}\bigl)\Bigl]\le {1\over 8}
\end{split}
\end{equation}
is valid. Moreover, assume that the  data vector $\widetilde d$ is sufficiently
close to the data vector $d$, so that
\begin{equation}\label{thm4re2}
{\Bigl|\sum_{i=1}^\infty \gamma_i(\psi_i(0)-\lambda_i\varphi_i)\Bigl|\over
\Bigl|\sum_{i=1}^\infty \gamma_i\bigl(\psi_i(0)-\lambda_i\varphi_i+\widetilde\psi_i(0)-
\psi_i(0)-\lambda_i(\widetilde\varphi_i-\varphi_i)\bigl)\Bigl|}
\le 2
\end{equation}
is valid and the estimates
\begin{equation}\label{thm4re3}
\begin{gathered}
 \|\widetilde m^0-m^0\|_{p;\sigma}\le 1 \quad \text{and} \\
\begin{aligned}
&\widehat C |\kappa[d]|\Bigl\{
\sum_{i=1}^\infty |\gamma_i| |\psi_i(0)|
+\sum_{i=1}^\infty |\gamma_i|\lambda_i|\varphi_i|
\\
&+{1\over \sigma^{\beta\epsilon}}\Bigl[
\sum_{i=1}^\infty |\gamma_i|\lambda_i^\epsilon |\psi_i(0)|
+\sum_{i=1}^\infty |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|\Bigl]+
\sum_{i=1}^\infty |\gamma_i|\|\psi_i'\|_{1;\sigma}\quad
\\
&+\sum_{i=1}^\infty |\gamma_i|\lambda_i\|u_i'[m]\|_{1;\sigma}\Bigl\}
\|\widetilde m^0-m^0\|_{p;\sigma} \le {1\over 8}
\end{aligned}
\end{gathered}
\end{equation}
are satisfied, where
$\sigma=\sigma_2[d]=\max\{\sigma_0[d];\sigma_1[d]\}$ and
\begin{gather*}
\begin{aligned}
 d^\dagger=\Bigl(&(\widetilde\varphi_i - \varphi_i)|_{i=1,\ldots,\infty},\,
 f_i^\dagger|_{i=1,\ldots,\infty},\,
(\widetilde\psi_i - \psi_i)|_{i=1,\ldots,\infty},\\
&(\widetilde g_i - g_i)|_{i=1,\ldots,\infty},\,m^\dagger,\, \widetilde h - h\Bigl),
\end{aligned}\\
f_i^\dagger=\widetilde f_i-f_i-(\widetilde m^0-m^0)*\lambda_i u_i[m]
+m*(\widetilde \psi_i-\psi_i),\quad
m^\dagger=m+m^0+\widetilde m^0-m^0.
\end{gather*}
Then
\begin{equation}\label{stabestim}
\begin{split}
\|\widetilde m-m\|_p
&\le \mathcal{C}[d] \Bigl\{\|\widetilde h'-h'+
Q_{\beta,\widetilde\varphi-\varphi,\widetilde f-f}(t)t^{\beta-1}\|_{\beta,p}
\\
&\quad +\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1+\epsilon}
 |\widetilde\varphi_i-\varphi_i|
 +\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|\widetilde f_i(0)-f_i(0)|\\
&\quad  + \sum_{i=1}^\infty  |\gamma_i| |\widetilde \psi_i(0)-\psi_i(0)|
 +\sum_{i=1}^\infty  |\gamma_i| \|\widetilde f_i'-f_i'\|_{p} \\
&\quad +\sum_{i=1}^\infty  |\gamma_i| \|\widetilde \psi_i'-\psi_i'\|_{1} \\
&\quad + \sum_{i=1}^\infty  |\gamma_i| \|\widetilde g_i- g_i\|_{\beta,p}
 +\|\widetilde m^0-m^0\|_{p}\Bigl\},
\end{split}
\end{equation}
where $\mathcal{C}[d]$ is a constant depending on the data vector $d$.
\end{theorem}

\begin{proof} Firstly we mention that the
 series in the formulas \eqref{thm4re1} and \eqref{thm4re3} converge
because of the assumptions imposed on $d$ and $\widetilde d$.
 In particular, $\sum_{i=1}^\infty |\gamma_i|\lambda_i\|u_i'[m]\|_{1;\sigma} <\infty$,
 because
 $\|u_i'[m]\|_{1;\sigma}\le T^{p-1\over p}\|u_i'[m]+q_{\beta,i}\|_{p;\sigma}+
\|q_{\beta,i}\|_{1;\sigma}$ and
$$
\sum_{i=1}^\infty |\gamma_i|\lambda_i\|u_i'[m]+q_{\beta,i}\|_{p;\sigma}<\infty,\quad
\sum_{i=1}^\infty |\gamma_i|\lambda_i\|q_{\beta,i}\|_{1;\sigma}<\infty
$$
in view of Proposition \ref{prop2}, \eqref{thm2qi} and
assumptions of the theorem. Secondly, due to \eqref{dominance} and the
dominated convergence theorem for series,
there exists $\sigma=\sigma_1[d]$ such that \eqref{thm4re1} is valid.

Denoting $v_i=u_i[\widetilde m]-u_i[m]$, the difference
$(\beta,\widetilde m-m)=(\beta,k)$  is a solution of the inverse problem
\begin{equation}\label{thm4prob}
\begin{gathered}
\begin{aligned}
&{t^{-\beta}\over \Gamma(1-\beta)}*[v_i'(t)-\overline g_i(t)]+\lambda_iv_i(t) \\
&=\overline f_i(t)+k *[\overline \psi_i(t)-\lambda_i v_i(t)]
 - \overline m^0*\lambda_i v_i(t),\;\; t\in (0,T), \quad v_i(0)=\overline \varphi_i,
\end{aligned} \\
\sum_{i=1}^\infty \gamma_i v_i(t)=\overline h(t),\quad  t\in (0,T)
\end{gathered}
\end{equation}
with the data vector
$$
\overline d=\Bigl(\overline\varphi_i|_{i=1,\ldots,\infty},
\overline f_i|_{i=1,\ldots,\infty},\overline \psi_i|_{i=1,\ldots,\infty},
\overline g_i|_{i=1,\ldots,\infty},\overline m^0,\overline h\Bigl),
$$
where
\begin{gather*}
\overline\varphi_i=\widetilde \varphi_i-\varphi_i,\quad
\overline f_i=f_i^\dagger,\quad
\overline\psi_i=\widetilde \psi_i-\psi_i+\psi_i-\lambda_i u_i[m],\\
\overline g_i=\widetilde g_i-g_i,\quad
\overline m^0=m^\dagger,\quad \overline h=\widetilde h-h.
\end{gather*}
By \eqref{thm4re2}, it holds $|\kappa[\overline d]|\le 2|\kappa[d]|$.
Let us set $\sigma=\sigma_2[d]$ and estimate
\begin{align*}
\omega_{\sigma}[\overline d]
&=\widehat C|\kappa[\overline d]|N_{\sigma}[\overline d]\\
&\le 2\widehat C|\kappa[d]|N_{\sigma}[\overline d] \\
&\le 2\widehat C|\kappa[d]|\Bigl[N_{\sigma}[d^\dagger]+
\Bigl[\sum_{i=1}^\infty |\gamma_i| |\psi_i(0)|+\sum_{i=1}^\infty |\gamma_i|\lambda_i|\varphi_i|\Bigl]\|m+m^0+\widetilde m^0-m^0\|_{p;\sigma}
\\
&\quad +\Bigl\{{1\over \sigma^{\beta\epsilon}}\Bigl[
\sum_{i=1}^\infty |\gamma_i|\lambda_i^\epsilon |\psi_i(0)|+\sum_{i=1}^\infty |\gamma_i|\lambda_i^{1+\epsilon}|\varphi_i|\Bigl]+
\sum_{i=1}^\infty |\gamma_i|\|\psi_i'\|_{1;\sigma}
\\
&\quad +\sum_{i=1}^\infty |\gamma_i|\lambda_i\|u_i'[m]\|_{1;\sigma}\Bigl\} \bigl(1+
\|m+m^0+\widetilde m^0-m^0\|_{p;\sigma}\bigl)\Bigl].
\end{align*}
Since the norms $\|\cdot\|_{p;\sigma}$ and $\|\cdot\|_{\beta,p;\sigma}$
are nonincreasing in $\sigma$, the relation
\eqref{thm4re1} is valid for $\sigma=\sigma_2[d]$, too.
Using \eqref{thm4re1} and \eqref{thm4re3} we reach the
inequality $\omega_{\sigma}[\overline d]\le {1\over 2}$
for $\sigma=\sigma_2[d]$. Now we can apply
 Theorem \ref{thm3} to the inverse problem \eqref{thm4prob}.
 We conclude that \eqref{thm4prob}  has a solution $(\beta,k)$ such that
$k\in B_{\varrho_\sigma[\overline d],\sigma}$, $\sigma=\sigma_2[d]$.
From the uniqueness of the solution of \eqref{thm4prob}
(following from Theorem \ref{thm2}), we have
$k=\widetilde m-m$. Hence, for $\sigma=\sigma_2[d]$ it holds
\begin{align*}
 \|\widetilde m-m\|_{p;\sigma}
&\le\varrho_\sigma[\overline d]\\
&=\overline C |\kappa[\overline d]|R_\sigma[\overline d] \\
&\le 2\overline C |\kappa[d]|R_\sigma[\overline d]\\
&=2\overline C |\kappa[d]|\Bigl[
\|\widetilde h'-h'+Q_{\beta,\widetilde\varphi-\varphi,f^\dagger}(t)
t^{\beta-1}\|_{\beta,p;\sigma}
\\
&\quad +\sum_{i=1}^\infty  |\gamma_i|\lambda_i|\widetilde\varphi_i
 -\varphi_i|\|m^\dagger\|_{p;\sigma} \\
&\quad +\Bigl\{{1\over\sigma^{\beta\epsilon}}\Bigl[\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1+\epsilon}|\widetilde\varphi_i-\varphi_i|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|f_i^\dagger(0)|\Bigl]
\\
&\quad +\sum_{i=1}^\infty  |\gamma_i| \|f_i^{\dagger '}\|_{p;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|\widetilde g_i- g_i\|_{\beta,p;\sigma}
\Bigl\}\bigl(1+\|m^\dagger\|_{p;\sigma}\bigl)\Bigl].
\end{align*}
From the formula of $f_i^\dagger$ we obtain
$f_i^\dagger(0)=\widetilde f_i(0)-f_i(0)$ and
\begin{align*}
f_i^{\dagger '}&=\widetilde f_i'-f_i'-\lambda_i\varphi_i(\widetilde m^0-m^0)-
(\widetilde m^0-m^0)*\lambda_i u_i'[m]+\bigl(\widetilde \psi_i(0)-\psi_i(0)\bigl)m
\\
&\quad +m*(\widetilde \psi_i'-\psi_i').
\end{align*}
Moreover, from \eqref{Qdef} and the relation for $f^\dagger(0)$ we see
that $Q_{\beta,\widetilde\varphi-\varphi,f^\dagger}=
Q_{\beta,\widetilde\varphi-\varphi,\widetilde f-f}$. Using also
the relation $\|\widetilde m^0-m^0\|_{p;\sigma}\le 1$ for the addend $\widetilde m^0-m^0$ in the term
$m^\dagger$ and applying \eqref{Young} we continue the estimation of
$\|\widetilde m-m\|_{p;\sigma}$ as follows:
\begin{align*}
&\|\widetilde m-m\|_{p;\sigma}\\
&\le \mathcal{C}_1[d]\Bigl\{\|\widetilde h'-h'+
Q_{\beta,\widetilde\varphi-\varphi,\widetilde f-f}(t)t^{\beta-1}\|_{\beta,p;\sigma}
\\
&\quad+\sum_{i=1}^\infty  |\gamma_i|\lambda_i|\widetilde\varphi_i-\varphi_i|
+\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{1+\epsilon}|\widetilde\varphi_i-\varphi_i|+
\sum_{i=1}^\infty  |\gamma_i|\lambda_i^{\epsilon}|\widetilde f_i(0)-f_i(0)|
\\
&\quad+\sum_{i=1}^\infty  |\gamma_i| \|\widetilde f_i'-f_i'\|_{p;\sigma}+\|\widetilde m^0-m^0\|_{p;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| |\widetilde \psi_i(0)-\psi_i(0)|
\\
&\quad+\sum_{i=1}^\infty  |\gamma_i| \|\widetilde \psi_i'-\psi_i'\|_{1;\sigma}+
\sum_{i=1}^\infty  |\gamma_i| \|\widetilde g_i- g_i\|_{\beta,p;\sigma}\Bigl\},
\end{align*}
where $\mathcal{C}_1[d]$ is a constant depending on $d$.
Using \eqref{sigekv} and the relation
$$
\sum_{i=1}^\infty  |\gamma_i|\lambda_i|\widetilde\varphi_i-\varphi_i|
\le {1\over \lambda_*^\epsilon}\sum_{i=1}^\infty
|\gamma_i|\lambda_i^{1+\epsilon}|\widetilde\varphi_i-\varphi_i|,
$$
where $\lambda_*=\min\{\lambda_i: \lambda_i>0\}$, we arrive at
\eqref{stabestim} with
$\mathcal{C}[d]=(1+{1\over \lambda_*^\epsilon})e^{\sigma_2[d]}\mathcal{C}_1[d]$.
\end{proof}

\section{Model problem and numerical example}

A thorough  numerical study of
IP will be a subject of a forthcoming paper.
The present paper, focused on the analysis, is finished by a
simpler numerical example.

Let us consider the direct problem \eqref{siss1} in the domain
$(x,t)\in (0,2\pi)\times (0,1)$ with the data
$g=\psi=m^0=0$, $f(x,t)=2\sin x$, $\varphi(x)=\sin x$ and Dirichlet
boundary conditions $u(0,t)=u(2\pi,t)=0$. In such a case the expansions of
$f$ and $\varphi$ in \eqref{expansions}
 contain only single addends corresponding to the eigenfunction $v_1=\sin x$
of the operator $A={d^2\over dx^2}$. The solution
of \eqref{siss1} has the form $u=u_1(t)\sin x$, where $u_1$ is the solution of the
following Cauchy problem for ODE:
$$
{t^{-\beta}\over \Gamma(1-\beta)}*u_1'(t)+u_1(t)+m*u_1(t)=2,\; t\in (0,1),\quad
u_1(0)=1.
$$
In view of Lemma \ref{lem2}, this problem is equivalent to the  Volterra integral equation
of the second kind
\begin{equation}\label{numer1}
u_1(t)+t^{\beta-1}E_{\beta,\beta}(-t^\beta)*m*u_1(t)
=2-E_\beta(-t^\beta),\; t\in (0,1).
\end{equation}
Let the state $u$ be observed at the point, $x={\pi\over 2}$, i.e.
$\Phi[z]=z({\pi\over 2})$. Then $$h(t)=u_1(t)\sin {\pi\over 2}=u_1(t).$$
The inverse problem with such data satisfies the assumptions of
Theorems \ref{thm2} -- \ref{thm4}.

In the numerical example we assumed $m$ is of the form
$m(t)=c_1 e^{-t}+c_2e^{-2t}$, where $c_1,c_2\in \mathbb{R}$ are unknown coefficients.
Then the kernel of the Volterra equation \eqref{numer1}
 $K=t^{\beta-1}E_{\beta,\beta}(-t^\beta)*m$  is  continuous.

Fixing certain values of $\beta^*$, $c_1^*$ and $c_2^*$ (exact solution
of the inverse problem),
 we  solved \eqref{numer1} and computed the values $h(t_i)=u_1(t_i)$
in nodes $t_i=i\eta$, $i=1,\ldots,N$, where $\eta={1\over N}$ and $N$ is the number
of the nodes. Moreover, we set $h(0)=\sin{\pi\over 2}=1$.
The obtained vector $h(t_i)$, $i=0,\ldots,N$,
formed the synthetic data of the inverse problem.

The solution procedure was implemented in two stages.
In the first stage we found the approximate value of $\beta$ by solving
the equation \eqref{betaequ}. In the second stage we determined $\widetilde c_1$
and $\widetilde c_2$ via minimization of the cost functional
$$
J(c_1,c_2)=\sum_{i=1}^N \bigl|h[c_2,c_2](t_i)-h(t_i)\bigl|,
$$
where $h[c_1,c_2]=u_1[c_2,c_2]$ is the trace at $x={\pi\over 2}$ of the
solution of the direct problem corresponding to
the parameters $\tilde\beta$, $c_1$ and $c_2$.

The minimization of the cost functional was performed by means of the gradient method. The solution of the Volterra
equation \eqref{numer1} (direct problem) was implemented using the
collocation with piecewise constant splines.

\begin{table}[ht]
\caption{Results in case $\beta=0.8$} \label{table1}
\begin{center}
\begin{tabular}{|c|ccc|}
\hline
$N^{\empty\atop\empty}$ &  $\tilde\beta$ & $\tilde c_1$ & $\tilde c_2$\\
\hline
$100$ & 0.786 & 1.037 & 1.045 \\
\hline
$1000$ & 0.799 & 1.004 & 1.006 \\
\hline
$10000$ & 0.7998 & 1.0005 & 1.0006
\\
\hline
\end{tabular}
\end{center}
\end{table}

\begin{table}[ht]
\caption{Results in case $\beta=0.2$} \label{table2}
\begin{center}
\begin{tabular}{|c|ccc|}
\hline
$N^{\empty\atop\empty}$ &  $\tilde\beta$ & $\tilde c_1$ & $\tilde c_2$\\
\hline
$100$ & 0.155 & 1.69 & 1.82 \\
\hline
$1000$ & 0.194 & 1.08 & 1.09
\\
\hline
$10000$ & 0.199 & 1.01 & 1.01
\\
\hline
\end{tabular}
\end{center}
\end{table}

Tables \ref{table1} and \ref{table2} contain numerical results in cases
$\beta^*=0.8$, $c_1^*=c_2^*=1$ and $\beta^*=0.4$, $c_1^*=c_2^*=1$, respectively.
In both cases we chose the  initial guesses $c_{1,0}=2$, $c_{2,0}=3$
for the minimization process.

Results show that the method to determine $\beta$ proposed in Remark \ref{rmk4} works
well in the case of bigger $\beta$, but requires
a quite small stepsize in the case of smaller $\beta$.


\subsection*{Acknowledgements}
This research was supported by the Estonian Research Council grant PUT568 and
 institutional research funding IUT33-24 of
the Estonian Ministry of Education and Research.
The author thanks a referee of the manuscript for useful suggestions that
lead to the refinement of the paper.


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\end{document}
