\documentclass[reqno]{amsart}
\usepackage{hyperref}
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\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2017 (2017), No. 305, pp. 1--15.\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-2017/305\hfil Approximation of the leading singular coefficient]
{Approximation of the leading singular coefficient of an elliptic
fourth-order equation}

\author[M. Abdelwahed,  N. Chorfi, V. D. R\u{a}dulescu\hfil EJDE-2017/305\hfilneg]
{Mohamed Abdelwahed,  Nejmeddine Chorfi, Vicen\c{t}iu D. R\u{a}dulescu}

\address{Mohamed Abdelwahed \newline
Department of Mathematics,
College of Sciences,
King Saud University,
Riyadh, Saudi Arabia}
\email{mabdelwahed@ksu.edu.sa}

\address{Nejmeddine Chorfi (corresponding author)\newline
Department of Mathematics,
College of Sciences,
King Saud University,
Riyadh, Saudi Arabia}
\email{nchorfi@ksu.edu.sa}

\address{Vicen\c{t}iu D. R\u{a}dulescu \newline
AGH University of Science and Technology, 
Faculty of Applied Mathematics,
al. Mickiewicza 30, 30-059 Krakow, Poland. \newline
Department of Mathematics,
University of Craiova,
200585 Craiova, Romania}
\email{vicentiu.radulescu@imar.ro}

\dedicatory{Communicated by Giovanni Molica Bisci}

\thanks{Submitted  October 11, 2017. Published December 14, 2017.}
\subjclass[2010]{35J15, 78M22}
\keywords{Bilaplacian equation; singularity coefficient;
\hfill\break\indent  dual singular method; mortar spectral element method}

\begin{abstract}
 The solution of the biharmonic equation with an homogeneous boundary
 conditions is decomposed into a regular part and a singular one.
 The later is written as a coefficient multiplied by the first singular
 function associated to the bilaplacian operator. In this paper,
 we consider the dual singular method for finding the value of the
 leading singular coefficient, and we use the mortar domain decomposition
 technique with the spectral discretization for its approximation.
 The numerical analysis leads to optimal error estimates. We present some
 numerical results which are in perfect coherence with the analysis
 developed in this paper.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{remark}[theorem]{Remark}
\newtheorem{example}[theorem]{Example}
\allowdisplaybreaks

\section{Introduction}

In a polygonal domain and when the data are smooth, the solution of an elliptic
differential equation is irregular. For a homogeneous problem
of the bilaplacian operator, we define some singular functions contingent
to the geometry of the domain. The solution is the sum of two components: a
regular part and singular functions (\cite{D,G,G1,K}).
The later are multiplied by appropriate coefficients called singular coefficients.
To approximate the leading singularity coefficients two algorithms are deployed.
We first refer to the Strang and Fix algorithm \cite{SF}, permitting to add
the leading singularity function to the discrete space \cite{C1}.
Secondly, the singular dual method algorithm \cite{AM,ABM}.
In physics and particularly in solid mechanics (crack propagation),
the leading singularity coefficient is very significant.
The calculation of this coefficient was obtained by use of finite elements
(Amara and Moussaoui \cite{AM,AM1}). In this paper, we propose to use the
mortar spectral element method combined with the method based on the singular
dual function. We decompose the domain in an union of finite number of
disjoint rectangles. On each rectangle, the discrete functions are polynomials
of high degree. We enforce the discrete solution to satisfy a matching condition
on the interfaces. Due to the non continuity of the discrete functions,
mortar spectral element technique is nonconforming. For more details on the
mortar spectral element method, we relate to Bernardi et al \cite{BM1,BM2,BCM,BMP}.
 In this work,  we prove that the order of the error estimation between the
continuous leading singularity coefficient end the discrete one is optimal.
This order is better than that obtained by the Strang and Fix algorithm.


The paper is outlined as follows. In the section 2, we present the
geometry of the domain, the continuous problem and the dual singular
 method which allows us to calculate the leading coefficient of the singularity.
This later depends only on the solution. The approximation of the leading
singularity coefficient by the mortar element spectral method and the
optimality estimation of the error is described in Section 3. Finally,
the results of a numerical test are given in Section 4.

\section{Geometry of the domain and the continuous problem}

We denote by $\Omega$ a polygonal domain in ${\mathbb{R}}^2$ such that there exists
a finite number of open rectangles  $\Omega_i,1 \leq i \leq I$, satisfying
\begin{equation}
\bar\Omega= \cup_{i=1}^{I}\bar \Omega_i,\quad \Omega_i\cap \Omega_l=\emptyset
\quad \text{for } i\neq  l.\label{e2.1}
\end{equation}
and such that the intersection of each $\bar \Omega_i,1 \leq i \leq K$,
with the boundary $\partial \Omega$ is either empty or a corner or one or
several entire edges of sub-domain $\Omega_i$. We choose the coordinate
axes parallel to the edge of the $\Omega_i$. We denote by
$\Gamma^{i,j}$, $1\leq j\leq 4$ the edges of $\Omega^i$ and by
$\gamma^{i,l}$, $1\leq i\neq l\leq I$, the open segment such that
$$
{\bar{\gamma}}^{i,l}= \partial \Omega^i\cap\partial \Omega^l.
$$
The set $\mathcal{V}$ will be the set of all vertices of the
$\Omega^i$, $1\leq i\leq I$ and
$\mathcal{S}=\cup_{i=1}^I\cup_{j=1}^4{\bar{\Gamma}}^{i,j}$
the skeleton of the decomposition. We choose finite set  of disjoint open
segments $\gamma^k$, where $k$ belongs to a finite set $K$ such that
$\mathcal{S}=\cup_{k\in K}{\bar{\gamma}}^{k}$, each $\gamma^k$, $k\in K$
is called mortar and its being a edge $\Gamma^{i(k),j(k)}$.

We are interested to non-convex domains, we assume that there exists an angle
equal either to $3\pi\over 2$ or to $2\pi$ (case of the crack).
Handling the singular function is local process, so that there is no
restriction to suppose that the non-convex corner is unique.

\subsection{Notation}
Let $\omega$ be the value of the non-convex angle equal either to $3\pi\over 2$
or to $2\pi$, \textbf{a} be the corresponding corner of $\Omega$ and $\Delta$
be the open domain in $\Omega$ such that $\bar\Delta$ is the union of the
$\bar\Omega_i$ which contain \textbf{a}. We choose the origin of the coordinate
axes at the point $\mathbf{a}$.  We introduce a system of polar coordinates $(r,\theta)$
where $r$ stands for the distance from \textbf{a} and $\theta$ is such that
the line $\theta=0$ contains an edge of $\partial\Omega$.
For reasons which will appear later, we are lead to make the following
conformity assumption: We suppose that the decomposition of the domain
$\Delta$ is conforming (see figure \ref{fig1}).
 If $\mathbf{a}$ is a vertex of the mortar $\Gamma^{i(k),j(k)}$
which coincides with $\Gamma^l$ a side of a sub-domain $\Omega^l$,
$l \ne i(k)$ then $N_{i(k)}\le N_l$, such that the restriction of a
function to $\Delta$ is in $H^2(\Delta)$.

\begin{figure}[ht]
\centering
 \includegraphics[angle=270,width=0.7\hsize]{fig1} % dom.pdf
\caption{Domain $\Omega$} \label{fig1}
\end{figure}

The following biharmonic problem with homogenous boundary conditions is
the model under consideration,
\begin{equation}\label{1}
\begin{gathered}
\Delta^2u=f \quad \text{in } \Omega\\
u=0 \quad\text{on } \partial\Omega\\
\frac{\partial u}{\partial n}=0 \quad\text{on } \partial\Omega.
\end{gathered}
\end{equation}

This problem admits the following variational formulation:
 Find $u \in H_0^2(\Omega)$ such that
\begin{equation}\label{f1}
\forall v \in H_0^2(\Omega) \quad
\int_{\Omega} \Delta u.\Delta v \,dx\,dy =\int_{\Omega} f\,v\, dx\,dy
\end{equation}
where $f$ is in $L^2(\Omega)$.

Formulation \eqref{f1} can be written in the equivalent form:
Find $u \in H_0^2(\Omega)$ such that
\begin{equation}\label{f2}
\forall v \in H_0^2(\Omega) \quad
\sum_{i=1}^I\int_{\Omega_i} (\Delta u|_{\Omega_i})\,(\Delta v|_{\Omega_i}) \,dx\,dy
=\sum_{i=1}^I\int_{\Omega_i} f|_{\Omega_i}\,v|_{\Omega_i}\, dx\,dy.
\end{equation}
The function $v$ is in $H_0^2(\Omega)$ if and only if
 $v|_{\Omega_i}\in H^2(\Omega_i)$, $1\le i \le I$, $v$
and $\partial_n v$ vanishes on $\partial \Omega$, $v|_{\Omega_i}=v|_{\Omega_l}$  and
$\partial_n v|_{\Omega_i}=\partial_n v|_{\Omega_l}$ on
$\gamma^{i,l}$, $1\le i\ne l \le I$.

Using Lax-Milgram theorem we show that the problem is well posed.
However, in a polygonal domain the global regularity of the solution
depends on the angle $\omega$. For a non negative real $s$, if $f$
in $H^{s-2}(\Omega)$ then the solution $u$ of problem \eqref{1}
belongs to $H^{s+2}(\Omega)$ and there exists a positive constant $C$ such that
$$
\|u\|_{H^{s+2}(\Omega)} \le C \|f\|_{H^{s-2}(\Omega)}.
$$
If $\omega=\frac{3\pi}{2}$, $s \le 0.544844$, and if
$\omega=2\pi$, $s \le 0.5$.

To enhance the regularity we decompose the solution as follows:
\begin{equation}\label{decom}
u=u_R+\mu\, \tau_1 \quad \text{such that }  u_R\in  H^{s+2}(\Omega)
\end{equation}
where $\mu$ is the leading singular coefficient, $\tau_1$ is the first
singular function and there exists a positive constant $C$ such that
$$
\|u_R\|_{H^{s+2}(\Omega)}+|\mu|\le C \|f\|_{H^{s-2}(\Omega)}.
$$
$\bullet$ When $\omega=\frac{3\pi}{2}$:  $s< 1.544$ and
$\tau_1(r,\theta)=\chi(r,\theta) r^{1.544}\psi(\theta)$,
\begin{equation}\label{f3}
\begin{aligned}
\psi(\theta)=&4.302\big(\cos(0.092 \theta)-\cos(1.908 \theta)\big) \\
&-1.1815\big(10.869\sin(0.092 \theta)-0.524 \sin(1.908\theta)\big).
\end{aligned}
\end{equation}
$\bullet$ In the case where $\omega={2\pi}$:  $s< 1.5$ and
$\tau_1(r,\theta)=\chi(r,\theta) r^{1.5}\psi(\theta)$,
\begin{equation}\label{f4}
\psi(\theta)=\big(\sin(1.5\theta)-3\sin(0.5\theta)
+ \cos(1.5\theta)-\cos(0.5\theta)\big).
\end{equation}
where $\chi$ is the $C^{\infty}$ cut off function with support in
$\overline{\Delta}$ which is equal to $1$ in the neighborhood of $\mathbf{a}$.

To compute the leading singularity coefficient $\mu$, we use the dual singularity
functions \cite{AM,F}. We consider the characteristic equation of the bilaplacian
\begin{equation}\label{bilap}
F(z,\omega)=\sin^2(\omega z)-z^2 \sin(\omega ^2)=0.
\end{equation}
The function $F$ is even with respect to $z$, then if $z_0=\xi+i\eta$ is
the solution of \eqref{bilap} then it is the same for $-z_0=-\xi-i\eta$.

The singular functions depend on the positive parameter $\xi=\operatorname{Re}(z)$
where $z$ is solution of the equation \eqref{bilap}.
These singular functions are solutions of the following homogeneous problem:
\begin{equation}\label{pb}
\begin{gathered}
\Delta^2 \tau_{\xi}=0 \quad \text{in } \Omega\\
\tau_{\xi}=0 \quad \text{on } \Gamma\\
\frac{\partial \tau_{\xi}}{\partial n}=0 \quad\text{on } \Gamma.
\end{gathered}
\end{equation}
To each $\tau_{\xi}$ corresponds a function $\tau_{-\xi}$ solution of
problem \eqref{pb}.

\begin{remark} \label{rmk2.1} \rm
We remark that the function $\tau_{\xi}$ is at least in $H^2(\Omega)$
while $\tau_{-\xi}$ is in $L^2(\Omega)$ in the neighborhood of
$\mathbf{a}$. Let $\tau_1^*(r,\theta)=\chi(r,\theta)\tau_{-\xi}$
be the dual singular function and $\tau_1^*(r,\theta)=r^{1-\xi}\psi(\theta)$
in the neighborhood of $\mathbf{a}$, where $\psi$ is defined in \eqref{f3} and \eqref{f4}.
\end{remark}

Since $\Delta^2 (\tau_1^*)\in H^{-2}(\Omega)$, let $\varphi^*$
the solution of the variational problem:
find $\varphi^*\in H^2_0(\Omega)$   such that
\begin{equation}\label{dualp}
\int_{\Omega}\Delta \varphi^* \Delta v \, dx
=\langle \Delta^2(\tau_1^*),v\rangle ,\quad \forall v \in H^2_0(\Omega).
\end{equation}
Then the singularity coefficient is
\begin{equation}\label{sing}
\mu=c\int_{\Omega} f (\tau_1^*-\varphi^*)dx\,dy.
\end{equation}
where $c$ is given by \cite{D,F}
\begin{equation}\label{defc}
c=8\xi(\omega)(\xi(\omega)+1)\int_0^\omega \exp(-(z+i)\theta)\psi(\theta)\, d\theta
\end{equation}
where $\xi(\omega)=\sup\big\{\operatorname{Re}(z): z \text{ solution of
\eqref{bilap}},\; z\ne \pm1 \Big\}$,
 $\psi$ is defined in \eqref{f3} and \eqref{f4}.

\section{Discrete problem}

The discretization is based on the Galerkin method. The goal is to construct
the discrete space which is not included in the continuous one because the
method is not conform. Since our problem is of order $4$,  we have to deal
with two boundary conditions. Then we need two mortar functions; one
for the trace and the other for the normal derivative.
Let $\delta=(N_i)_{1\le i \le I}$ the discretization parameter where
$N_i$ are the degrees of the approximation polynomials in each sub-domain
$\Omega_i$, $1\le i \le I$ ($\mathbb{P}_N(\Omega)$ is the space of polynomial
functions of degree less or equal to $N$). We introduce the space
$\mathcal M_\delta$ called the space of mortar functions made of couples
$(\varphi_0,\varphi_1)$ such that their restriction to each
$\Gamma^{i(k),j(k)}$ is a  polynomial of degree less than $N_i(k)$ and such that
the following properties hold: at each vertex $e$ of a sub-domain,
each couple $(\varphi_0,\varphi_1)$ defines a unique value $\varphi^e$,
a unique derivative $\varphi_x^e$ with respect to $x$, a unique derivative
$\varphi_y^e$ with respect to $y$ and a unique mixed $\varphi_{xy}^e$
with respect to $x$ and $y$.

We define the discrete space $X_\delta$ as the space of functions
$v_\delta$ such that:
\begin{itemize}
\item[(i)] for each $i$, $1\le i \le I$, the restriction of $v_{\delta}$ to
$\Omega_i$ belongs to $\mathbb P_{N_i}(\Omega_i)$;
\item[(ii)] $v_\delta$ and its normal derivative vanish on $\partial \Omega$;
\item[(iii)] there exists a mortar couple  $(\varphi_0,\varphi_1)$ in
$\mathcal M_\delta$ such that for $1\le i \le I$,
\begin{gather*}
\forall e \in \mathcal{V}, \quad
v_\delta|_{\Omega_i}(e)=\varphi^e, \quad
 \frac{\partial}{\partial x}( v_\delta|_{\Omega_i})(e)=\varphi_x^e,\\
\frac{\partial}{\partial y}( v_\delta|_{\Omega_i})(e)=\varphi_y^e , \quad
\frac{\partial^2}{\partial x \partial y}( v_\delta|_{\Omega_i})(e)=\varphi_{xy}^e,
\end{gather*}
\begin{gather}\label{mat1}
\forall \psi \in \mathbb P_{N_i-4}(\Gamma^{ij}), \quad
\int_{\Gamma^{ij}}(v_{\delta}|_{\Omega_i}-\varphi_0)(\eta)\psi(\eta)\, d \eta=0,\\
\label{mat2}
 \int_{\Gamma^{ij}}(\frac{\partial v_{\delta}}{\partial n}|_{\Omega_i}
-\varphi_1)(\eta)\psi(\eta)\, d \eta=0, \quad 1\le j \le 4.
\end{gather}
\end{itemize}
The choice of $\mathbb P_{N_i-4}(\Gamma^{ij})$ is justified by the fact that
 four conditions are enforced on the vertices of $\Gamma^{ij}$, one on the
function and one on its normal derivative at each vertex.

In the case of the problem of order four and to take into account the boundary
conditions, it is more appropriate to use a quadrature formula which uses
the function values on the extremities as well as the values of its
normal derivative. The following lemma defines this quadrature formula
(see \cite{BM3,SS} for the proof)

\begin{lemma} \label{lem3.1}
Let $N\ge 2$ an integer, there exists a unique set of points $\xi_j$,
$1\le j \le N-1$, a unique set of positif reals $\rho_j$, $1\le j \le N-1$,
$\rho_+$, $\rho_-$ such that for all polynomials $\varphi$ in
$\mathbb P_{2N-1}(]-1,1[)$
\begin{equation}\label{lem41}
\int_{-1}^1 \varphi(x)\, dx = \sum_{j=1}^{N-1}\varphi(\xi_j)\rho_j
+\varphi(-1)\rho_- + \varphi(1)\rho_+
\end{equation}
\end{lemma}

\begin{remark} \label{rmk3.2} \rm
The nodes $\xi_j$; $1\le j \le N-1$, are the zeros of the derivative of the
Legendre polynomial $L_N$. We refer to \cite{BM3} for the calculus of $\xi_j$
and $\rho_j$,  $1\le j \le N-1$.
\end{remark}

Given two functions $u$, $v$ continuous on $\overline \Omega =[-1,1]\times[-1,1]$
and vanishes on its boundary, we define the following discrete scalar product
$$
(u,v)_N=\sum_{j=1}^{N-1}\sum_{l=1}^{N-1}u(\xi_j,\xi_l) v(\xi_j,\xi_l) \rho_j \rho_l.
$$
If $T^i$ is the bijection from $]-1,1[^2$ in $\Omega_i$, we define
$$
(u,v)_{N_i}=\frac{|\Omega_i|}{4}\sum_{j=1}^{N_i-1}
\sum_{l=1}^{N_i-1}(u\circ T^i)(\xi_j,\xi_l) (v\circ T^i)(\xi_j,\xi_l) \rho_j \rho_l.
$$
Hence, for each value of $\delta$, the discrete problem is written:
Find $u_{\delta} $ in $ X_{\delta}$ such that
for all $v_{\delta} \in X_{\delta}$,
\begin{equation}\label{f5}
\sum_{i=1}^{I}(\Delta u_{\delta}|_{\Omega_i},\Delta v_{\delta}|_{\Omega_i})_{N_i}
=\sum_{i=1}^{I}(f,v_{\delta}|_{\Omega_i})_{N_i}.
\end{equation}
See \cite{Z2} for the numerical analysis and the implementation of
 problem \eqref{f5} using the mortar spectral element method.

We present in this work a method based on dual singular function which will
allow us to approximate the leading singularity coefficient of the bilaplacian
operator. This method has high precision compared to  the Strang and
Fix algorithm \cite{SF}.

Let $X_{\delta}^* = X_{\delta}+\mathbb R \tau_1$ be the augmented discrete space,
which is a Banach space by the following discrete norm, for all
$u_{\delta}^*=u_{\delta}+\mu\tau_1 \in X_{\delta}^*$,
$$
\|u_{\delta}^*\|_{1*}
=\sum_{i=1}^I \Big(\|u_{\delta}/_{\Omega_i} \|_{H^2(\Omega_i)}^2
 +|\mu|^2 \| \tau_1/_{\Omega_i}\|_{H^2(\Omega_i)}^2 \Big)^{1/2}.
$$
We ask the following two discrete problems:

(1) find the function $u_{\delta}^*=u_{\delta}+\mu\tau_1 \in X_{\delta}^*$
such that for all $v_{\delta}^*=v_{\delta}+\xi\tau_1 \in X_{\delta}^*$ we have
    \begin{equation}\label{f6}
    a_{\delta}^*(u_{\delta}^*,v_{\delta}^*)
=\sum_{i=1}^{I}\int_{\Omega_i}f|_{\Omega_i} v_{\delta}^*|_{\Omega_i}\, dx\,dy;
    \end{equation}

(2) find $\varphi_{\delta}^*$ in $X_{\delta}^*$ such that for all
$\psi_{\delta}^*\in X_{\delta}^*$,
    \begin{equation}\label{f7}
    a_{\delta}^*(\varphi_{\delta}^*,\psi_{\delta}^*)
=\sum_{i=1}^{I}\int_{\Omega_i}\Delta^2 \tau_1^*|_{\Omega_i}
\psi_{\delta}^*|_{\Omega_i}\, dx\,dy.
    \end{equation}

The bilinear form $a_{\delta}^*$ is defined by
\begin{equation}
\begin{aligned}
a_{\delta}^*(u_{\delta}^*,v_{\delta}^*)
&=\sum_{i=1}^{I}\Big((\Delta u_\delta|_{\Omega_i},
\Delta v_\delta|_{\Omega_i})_{N_i}+\mu \int_{\Omega_i}
\Delta \tau_1|_{\Omega_i} \Delta v_\delta|_{\Omega_i}\, dx\,dy \\
&\quad+ \xi \int_{\Omega_i} \Delta \tau_1|_{\Omega_i}
\Delta u_\delta|_{\Omega_i}\, dx\,dy + \mu \xi \int_{\Omega_i}
(\Delta \tau_1|_{\Omega_i})^2 \, dx\,dy\Big).
\end{aligned}
\end{equation}
We refer to \cite{ACR} for the numerical analysis of this problem and
to \cite{ACOR} for its implementation. The following proposition gives
us the expression of the discrete leading singularity coefficient.

\begin{proposition} \label{prop3.3}
Let $u$, $\varphi^*$, $u_\delta^*$ and $\varphi_{\delta}^*$ be respectively
the solutions of \eqref{1}, \eqref{dualp}, \eqref{f6} and \eqref{f7}, we have
(i)
\begin{equation}\label{f7b}
(\frac{1}{c})\mu_\delta=\int_{\Omega} f \tau_1^*\, dx\,dy
+ \int_{\Omega} u_\delta^* \Delta^2 \tau_1^*\, dx\,dy
= \int_{\Omega} f (\tau_1^*-\varphi_\delta^*)\, dx\,dy
\end{equation}
(ii)
\begin{equation}\label{f8}
\begin{aligned}
&(\frac{1}{c})(\mu-\mu_\delta) \\
&=\sum_{i=1}^I\int_{\Omega_i} \Delta(u-u_\delta^*)|_{\Omega_i}
 \Delta(\varphi^*-\varphi_\delta^*)|_{\Omega_i}\, dx\,dy\\
&\quad +\sum_{1\le i \ne l \le I}\int_{\Gamma^{il}}
\Big[\frac{\partial (\Delta u)}{\partial n_i}
 (\varphi_{\delta}^*|_{\Omega_i}-\varphi_{\delta}^*|_{\Omega_l})
 - \frac{\partial (\Delta \varphi^*)}{\partial n_i} (u_{\delta}^*|_{\Omega_i}
 -u_{\delta}^*|_{\Omega_l}) \Big]
\end{aligned}
\end{equation}
where $c$ is defined in \eqref{defc}
\end{proposition}

\begin{proof}
We consider $D$ the intersection of the domain $\Omega$ and the ball of center
 $\mathbf{a}$ and radius $R$. We consider that the cut-off function $\chi$ is equal
$1$ in $D$ then we choose $R$ such that $\Delta^2\tau_1=\Delta^2\tau_1^*=0$
then from \eqref{1} and \eqref{decom} we have
$$
\int_{\Omega} f \tau_1^* \, dx\,dy
= \int_{D} -\Delta^2 u_{\delta} \tau_1^* \, dx\,dy
 + \int_{\Omega\backslash D}-\Delta^2 u_{\delta}^* \tau_1^* \, dx\,dy.
$$
By double integration by parts we conclude
\begin{align*}
&\int_{\Omega} f \tau_1^* \, dx\,dy
 + \int_{D} u_\delta^* \Delta^2  \tau_1^* \, dx\,dy \\
&=\int_0^\omega \big(\partial_r(\Delta(u_\delta^*-u_\delta))\tau_1^*
 -(u_\delta^*-u_\delta)\partial_r (\Delta \tau_1^*)\big)(R,\theta) r\, d\theta
\end{align*}
Since $u_\delta^*-u_\delta=\mu_\delta \tau_1$, we have
$$
c\Big(\int_{\Omega}f \tau_1^*\, dx\,dy + \int_\Omega u_\delta^* \Delta^2 \tau_1^*\,
dx\,dy\Big)=\mu_\delta.
$$
To obtain the second equality we replace $v$ by $u$ in problem \eqref{dualp}.

To show \eqref{f8} we use \eqref{sing} and \eqref{f7}. We obtain
\begin{equation}
(\frac{1}{c})(\mu-\mu_\delta)
=\int_{\Omega}f (\varphi_\delta^*-\varphi^*)\, dx\,dy
= \sum_{i=1}^I \int_{\Omega_i}\Delta^2 u | _{\Omega_i}(\varphi^*
-\varphi_{\delta}^*)|_{\Omega_i}\, dx\,dy.
\end{equation}
By double integration by parts we have
\begin{equation}
\begin{aligned}
&(\frac{1}{c})(\mu-\mu_\delta) \\
&=\sum_{i=1}^I \int_{\Omega_i} \Delta u \Delta(\varphi^*-\varphi_\delta^*)\, dx\,dy
 + \sum_{1\le i <l \le I} \int_{\Gamma^{il}}
 \frac{\partial{(\Delta u)}}{{\partial n_i}}(\varphi^*-\varphi_\delta^*)\, d\tau \\
&\quad - \sum_{1\le i <l \le I}
  \int_{\Gamma^{il}}(\Delta u) \frac{\partial}{\partial n_i}(\varphi^*
  - \varphi_\delta^*)\, d \tau.
\end{aligned}
\end{equation}
Let $\varphi_\delta^*=\varphi_\delta+\xi \tau_1$ and
$u_\delta^*=u_\delta+\mu\tau_1$ in $X_\delta^*$. Since
\begin{align*}
a_{\delta}^*(\varphi_\delta^*,u_\delta^*)
&= \sum_{i=1}^{I}(\Delta \varphi_{\delta}|_{\Omega_i},
 \Delta u_{\delta}|_{\Omega_i})_{N_i}+\mu\int_{\Omega_i}
 \Delta \tau_1 \Delta u_\delta \, dx\,dy \\
&\quad + \xi \int_{\Omega_i} \Delta \varphi_{\delta} \Delta \tau_1 \, dx\,dy
 + \mu \xi \int_{\Omega_i} \Delta \tau_1^2 \, dx\,dy,
\end{align*}
and if
$u_\delta \in X_\delta^-=\{v_\delta\in X_\delta: v_{\delta/\Omega_i}
\in \mathbb{P}_{N_i-1}(\Omega_i),\; 1\leq i\leq I\}$,
we obtain
$$
\sum_{i=1}^I(\Delta\varphi_\delta|_{\Omega_i},\Delta u_\delta|{\Omega_i})_{N_i}
=\sum_{i=1}^I\int_{\Omega_i} \Delta \varphi_\delta |_{\Omega_i}
\Delta u_\delta |_{\Omega_i}\, dx\,dy.
$$
Then using \eqref{dualp} we have
\begin{equation}\label{f9}
a_\delta^*(\varphi_\delta^*,u_\delta^*)
=\sum_{i=1}^I \int_{\Omega_i} \Delta \varphi_\delta^* \Delta u_\delta^* \, dx\,dy
 = \sum_{i=1}^I \int_{\Omega_i} \Delta^2 \tau_1^* u_\delta^* \, dx\,dy.
\end{equation}
Following \eqref{f9} we deduce that $\Delta^2 \varphi^*=\Delta^2 \tau_1^*$
in the sense of distribution and that
$\varphi^*=\frac{\partial \varphi^*}{\partial n}=0$ on $\partial \Omega$ then
$$
a_{\delta}^*(\varphi_\delta^*, u_\delta^*)
=\sum_{i=1}^I \int_{\Omega_i} \Delta^2 \varphi^*|_{\Omega_i}
 u_{\delta}^*|_{\Omega_i}\, dx\,dy.
$$
Then by double integration by parts,
\begin{equation}\label{f10}
\begin{aligned}
&a_\delta^*(\varphi_\delta^*,u_\delta^*) \\\
&=\sum_{i=1}^I \int_{\Omega_i} \Delta \varphi^*|_{\Omega_i}
 \Delta u_\delta^*|_{\Omega_i} \, dx\,dy
  + \sum_{1\le i < l \le I} \int_{\Gamma^{il}}
 \frac{\partial (\Delta \varphi^*)}{\partial n_i}(u_\delta^* |_{\Omega_i}
 -u_\delta^* |_{\Omega_l} ) \, d\tau\\
&\quad - \sum_{1\le i < l \le I} \int_{\Gamma^{il}}
 \frac{\partial (\Delta u_\delta^*)}{\partial n_i}(\varphi^*|_{\Omega_i}
 -\varphi^* |_{\Omega_l} ) \, d\tau.
\end{aligned}
\end{equation}
Following \eqref{f9} and \eqref{f10} we conclude that
\begin{align*}
&\sum_{i=1}^I \int_{\Omega_i} \Delta (\varphi^*
- \varphi_\delta^*)|_{\Omega_i} \Delta u_\delta^*|_{\Omega_i} \, dx\\
&= \sum_{1\le i < l \le I} \int_{\Gamma^{il}}
 \frac{\partial \Delta \varphi^*}{\partial n_i} (u_\delta^* |_{\Omega_i}
  - u_\delta^* |_{\Omega_l}) \, d \tau\\&-\sum_{1\le i < l \le I}
 \int_{\Gamma^{il}} \frac{\partial \Delta u_\delta^*}{\partial n_i}
 (\varphi_\delta^* |_{\Omega_i} - \varphi_\delta^* |_{\Omega_l})\, d \tau
\end{align*}
By adding this equality with \eqref{f9}, we obtain the desired result.
\end{proof}

We interested in the following  the error estimate between $\mu$ and $\mu_{\delta}$.

\begin{theorem} \label{thm3.5}
Assume that $f$ belongs to $H^{s-2}(\Omega)$ with $s>0$. The error between $\mu$ 
and $\mu_{\delta}$ satisfies the following estimate, for $\varepsilon>0$,
$$
|\mu-\mu_\delta|\le C N^{-2} \Big(\sum_{1\le i \le I} N_i^{-\sigma_i}\Big)
\| f \|_{H^{s-2}(\Omega)},
$$
$N=\inf_{1\le i \le I} N_i$ and
$$
\sigma_i=\begin{cases}
s-2  &\text{if $\Omega_i$ does not contain any vertices of $\Omega$},\\
\inf (s-2, 2 \eta_1 (\frac{\pi}{2}) - \varepsilon) 
&\text{if $\overline{\Omega_i}$  contains one  vertex of $\Omega $ other than }
 \mathbf{a},\\
\inf (s-2, 2 \eta_1 (\omega) - \varepsilon) 
&\text{if } \overline{\Omega_i} \text{  contains }  \mathbf{a},
\end{cases}
$$
where $\eta_1(\omega)$ is the second real solution of equation \eqref{bilap} 
in the band $0 < \operatorname{Re}(z)<s$.
\end{theorem}

\begin{proof}
Following \eqref{f8} we have
$$
\mu-\mu_\delta=c\int_{\Omega} f (\varphi_\delta^*-\varphi^*)\, dx\,dy 
= c\int_{\Omega}\Delta^2 u (\varphi_\delta^*-\varphi^*)dx\,dy.
$$
By double integration by parts we obtain
\begin{align*}
\mu-\mu_\delta
&=c\Big(\sum_{i=1}^I \int_{\Omega} \Delta u |_{\Omega_i} 
\Delta (\varphi-\mu_\varphi^*)\, dx\,dy 
+\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}} 
 \frac{\partial \Delta u}{\partial n_i}(\varphi_\delta^*|_{\Omega_i}
 -\varphi^*|_{\Omega_i})\, d\tau\\
&\quad -\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}} (\Delta u) 
\frac{\partial (\varphi_\delta^* -\varphi^* ) }{\partial n_i}\, d\tau \Big).
\end{align*}
Otherwise taking $v_\delta^*\in X_\delta^*$ such that $v_\delta\in X_\delta^-$
 we obtain
\begin{align*}
a_\delta^*(\varphi_\delta^*,v_\delta^*)
&=\langle \Delta^2 \varphi^*,v_\delta^*\rangle \\
&=\sum_{i=1}^I \int_{\Omega_i} \Delta \varphi \Delta v_{\delta}^*\, dx\,dy 
+\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}} 
 \frac{\partial \Delta \varphi^*}{\partial n}
 (v_\delta|_{\Omega_i}-v_\delta |_{\Omega_l})\, d\tau\\
&\quad -\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}} 
(\Delta \varphi^*) \frac{\partial }{\partial n_i}
(v_\delta^*|_{\Omega_i}-v_{\delta}^*|_{\Omega_l} )\, d\tau.
\end{align*}
Then by adding and subtracting the same quantity, we write
\begin{align*}
\mu-\mu_\delta 
&=c \Big(\sum_{i=1}^I \int_{\Omega_i} (\Delta u |_{\Omega_i}
-\Delta v_{\delta}^* |_{\Omega_i})  \Delta 
(\varphi_{\delta}^* |_{\Omega_i}-\varphi^*|_{\Omega_i})\, dx\,dy \\
&\quad +\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}}
  \frac{\partial \Delta u}{\partial n_i}(\varphi_\delta^*|_{\Omega_i}
 -\varphi^*|_{\Omega_i})\, d\tau\\
&\quad  -\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}} (\Delta u) 
 \frac{\partial  }{\partial n_i}(\varphi_\delta^* |_{\Omega_i} 
 -\varphi^*|_{\Omega_i} )\, d\tau\\
&\quad +\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}} 
 \frac{\partial \Delta \varphi^*}{\partial n_i}
 (v_\delta^*|_{\Omega_i}-v^*|_{\Omega_l})\, d\tau\\
&\quad  -\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}} (\Delta \varphi^*)
 \frac{\partial  }{\partial n_i}(v_\delta^* |_{\Omega_i}
  -v^*|_{\Omega_l} )\, d\tau\Big).
\end{align*}
Proceeding as in \cite[Chapter 4.2]{Z1} we obtain
\begin{align*}
&\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}}
  \frac{\partial \Delta u}{\partial n_i}(\varphi_\delta^*|_{\Omega_i}
 -\varphi^*|_{\Omega_i})\, d\tau
 -\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}} (\Delta u) 
 \frac{\partial  }{\partial n_i}(\varphi_\delta^* |_{\Omega_i} 
 -\varphi^*|_{\Omega_i} )\, d\tau\\
&\le C \Big( \sum_{i=1}^{I} \sum_{j=1}^4 \inf_{\psi^{ij}\in 
 \mathbb P_{N_i-4}(\Gamma^{ij})}|
 \frac{\partial \Delta u_R}{\partial n}-\psi^{ij}  \|_{[H^{3/2}(\Gamma^{ij})]'}\\
&\quad +\inf_{\psi^{ij}\in \mathbb P_{N_i-4}(\Gamma^{ij})}|
  \Delta u_R-\psi^{ij}  \|_{[H^{1/2}(\Gamma^{ij})]'}\Big) 
 \|\varphi^*- \varphi_{\delta}^* \|_{H^2(\Omega)}.
\end{align*}
On the other hand, by construction, $\Delta^2\tau_1^*$ is in 
$L^2(\Omega)$, therefore $\varphi^*$ is the sum of $\tau_1$ and a function 
$\widetilde{\varphi}$ in $H^4(\Omega) \cap H_0^2(\Omega)$ see \cite{ACR}
\begin{align*}
\sum_{1\le i\ne l \le I} &\int_{\Gamma^{il}} 
\frac{\partial \Delta \varphi^*}{\partial n_i}(\varphi_\delta^*|_{\Omega_i}
 -\varphi_\delta^*|_{\Omega_l})\, d\tau
-\sum_{1\le i\ne l \le I} \int_{\Gamma^{il}} (\Delta \varphi^*) 
 \frac{\partial  }{\partial n_i}(v_\delta^* |_{\Omega_i} 
 -v_\delta^*|_{\Omega_l} )\, d\tau\\
&\le C \Big(\sum_{i=1}^{I} \sum_{j=1}^4 \Big(\inf_{\psi^{ij}
 \in \mathbb P_{N_i-4}(\Gamma^{ij})}\|
  \frac{\partial \Delta \widetilde\varphi}{\partial n}-\psi^{ij} 
  \|_{[H^{3/2}(\Gamma^{ij})]'}\\
&\quad +\inf_{\psi^{ij}\in \mathbb P_{N_i-4}(\Gamma^{ij})}\|
  \Delta \widetilde\varphi -\psi^{ij}  \|_{[H^{1/2}(\Gamma^{ij})]'}\Big)
\Big)\|u_R- v_{\delta}^* \|_{1*}.
\end{align*}
 Having $\varphi^*$, respectively $\varphi_\delta^*$ the solution of the
 continuous, respectively discrete, problem with second member in $L^2(\Omega)$, 
then  we conclude from \cite[Theorem 5.7]{ACR}.
\end{proof}

\begin{remark} \label{rmk3.7} \rm 
We notice that the convergence order is $N^{\epsilon-4}$ and 
$N^{\epsilon-{14\over3}}$  in the case of the crack and in the  case of 
$\omega={3\pi\over2}$ respectively. This proves the high accuracy of the method.
\end{remark}

\section{Implementation and numerical results}

 To write the matrix system associated to the discrete problem \eqref{f6} 
we have to choose a basis for the space $X_\delta^*$. Let $h_i$ be the 
Hermite interpolating polynomials on the interval $[-1,1]$ defined by
\begin{gather*}
 h_j(\xi_l)=\delta_{jl}\quad 0\le j \le N,\\
 h_j(-1)=h_j(1)=0\quad 2\le l \le N-2,\\
 h_j'(-1)=h_j'(1)=0.
 \end{gather*}
It follows that any polynomial $v_{\delta}$ of $X_\delta$ is written as
$$
v_{\delta}(x,y)|_{\Omega_i}
=\sum_{j=0}^N \sum_{l=0}^N v_{N_i}^{jl} h_j^{N_i}(x)h_l^{N_i}(y),
$$
where $v_{N_i}^{jl}=v_{\delta}(\xi_j^{N_i},\xi_l^{N_i})$,
 $\xi_j^{N_i}$ and $h_j^{N_j}$ are deduced respectively form 
$\xi_j$ and $h_j$ by translation and dilation. 
Therefore for $v_\delta^*$ in $X_\delta^*$ there exists $v_\delta \in X_\delta$ 
and $\mu \in \mathbb R$ such that $v_\delta^*=v_\delta+\mu \tau_1$ then
$$
v_\delta^*(x,y)|_{\Omega_i}=\sum_{j=0}^{N_i} 
\sum_{l=0}^{N_i} v_{N_i}^{jl} h_j^{N_i}(x)h_l^{N_i}(y)+\mu\tau_1|_{\Omega_i}.
$$
The two integral matching conditions \eqref{mat1} and \eqref{mat2} 
can be written in the matrix form
$$
\begin{bmatrix}
v_{jl}^i|_{\Omega_i}\\
v_{jl}|_{\rm edges}\\
(\frac{\partial v^i}{\partial n})_{jl}|_{\rm edges}\\
\mu_{\delta}
\end{bmatrix}
= Q \begin{bmatrix}
v_{jl}^i|_{\Omega_i}\\
\varphi_0^i|_{\rm edges}\\
\varphi_1^i|_{\rm edges}\\
\mu_{\delta}
\end{bmatrix}
$$
where 
$$
Q=\begin{bmatrix}
I & 0 & 0 & 0\\
 0 & Q_0 & 0 & 0\\
 0 & 0 & Q_1 & 0\\
 0 & 0 & 0 & 1
\end{bmatrix}.
$$
The couple $[Q_0,Q_1]$ is called ``rectangular transformation matrix". 
This matrix ensures the descendance of the mortar to the elements. 
While its transpose $Q^T$ purges the unknown vectors from the false degree 
of freedom. It is clear that we evaluate $v_\delta/_{\Omega_i}$ without 
explicitly forming the global matrix projection. The calculation of this matrix 
is local for each edge-mortar.
We observe that the discrete problem \eqref{f6} is written equivalently 
in the form
\begin{equation}\label{sys}
A U_\delta^* = F
\end{equation}
where $A$ takes the form
$$
\scriptsize
\begin{pmatrix} (\Delta(h_j h_l) ;\Delta(h_p h_q ) )_{N_1}
&0               &.       &.       &0         &{\int_{\Omega_1}    \Delta
\tau_1\Delta(h_p h_q )}\\
 0       &         &        &       &      &.       \cr
.&      &       &       &      &.
\\
.&      &       &      &      &      {\int_{\Omega_{N_\Delta}}    \Delta
\tau_1\Delta(h_p h_q )}\\
 .&       &       &       &      &0 \\
.&        &       &       &      &. \\
.&        &       &       &      &. \\
.\\
 0         &.      &     . &0     
 & (\Delta(h_i h_j) ;\Delta(h_p h_q ))_{N_k} &0 \\
 {\int_{\Omega_1}    \Delta
\tau_1\Delta(h_j h_l )}       &.      & {\int_{\Omega_{N_\Delta}}    \Delta
\tau_1\Delta(h_j h_l)}      &0      &.       &{\int_\Omega(\Delta \tau_1)^2}\\
\end{pmatrix}
$$
The $i$-th block $(\Delta(h_j h_l) ;\Delta(h_p h_q ))_{N_i}$ for
 $1\leq j,l\leq N_i-1$ and $1\leq p,q\leq N_i-1$, represents the 
Bilaplacian operator on the sub-domain $\Omega_i$, and $F$ is the second 
member given by
$$
F=\begin{bmatrix}
(h_p h_q,f)_{N_1}\\
\dots\\
(h_p h_q,f)_{N_i}\\
\int_{\Omega} f \tau_1 \, dx\,dy
\end{bmatrix}.
$$
The vector $U_\delta^*$ is constituted by the values of the solution both at 
the interior nodes of each sub-domains and on the boundary interfaces.

Note that we do not solve the system \eqref{sys} because it has false 
degrees of freedom. However, the global system that we solve is the following
\begin{equation}\label{nesys}
Q^T A Q \tilde U = Q^T F
\end{equation}
where $\tilde U$ is the vector composed from the unknown on the internal
 nodes and the value of the mortar functions $(\varphi_0,\varphi_1)$  
on the skeleton $\mathcal{S}$. The matrix $\widetilde A=Q^T AQ$ is 
symmetric and positive defined. Then, we will use the gradient conjugate 
method for solving the problem \eqref{nesys}.

For this, let $U_0$ be arbitrary, $R_0=Q^TF-\widetilde A U_0$, $T_0=R_0$ and
\begin{gather*}
\alpha_n={(R_n,R_n)\over(T_n,AT_n)},\quad 
U_{n+1}=U_n +\alpha_n T_n,\quad
R_{n+1}=R_n-\alpha_n AT_n ,\\
\beta_n={(R_{n+1},R_{n+1})\over(R_n,R_n)},\quad 
T_{n+1}=R_{n+1}+\beta_n T_n\,.
\end{gather*}
 The calculation is processed locally, Even though the resolution by the 
gradient algorithm is processed globally. We notice that the product matrix-vector 
is the most expensive.
The local matrices  $(\Delta(h_j h_l) ;\Delta(h_p h_q ))_{N_i}$ are full, 
consequently, the calculation cost is high. It is  as $O(N^4)$ operations and 
$O(N^4)$ memory space. This cost of operations is reduced to $O(N^3)$ and 
the memory space to $O(N^2)$ by sub-domain  by the tensorisation.

 Below, we present some numerical results to approximate the solution of 
problem \ref{nesys} and the singularity coefficient by applying the dual method. 
In the following, we vary the parameter of discretization $N$ and the data 
function of the biharminic problem.

The test cases are implemented  in a neighborhood of the singular corner $\mathbf{a}$, 
i.e. four sub-domains in the case of the crack and three sub-domains in the 
case of $\omega = 3 \pi/ 2$  (see figure \ref{fig2}).

\begin{figure}[htbp]
\begin{center}
 \includegraphics[width=5.5cm]{fig2a} %  cracknnew.pdf
 \includegraphics[width=5.5cm]{fig2b} % Lnnnew.pdf
\end{center}
\caption{Spectral mesh of domain when $\omega=2\pi$ and $\omega=\frac {3\pi}{2}$.}
\label{fig2}
\end{figure}

Below some numerical results are presented related to the calculation of the 
discrete solution of the problem \ref{f6} and the leading singularity
coefficient by the dual method. In the following examples, $\mu_{\delta}$ 
denotes the discrete leading singularity coefficient.

\begin{example} \label{examp1} \rm
$u(x,y)=\sin^2\pi x^2\sin^2\pi y^2$ and  $\omega={3\pi\over2}$.
\begin{center}
\begin{tabular}{|c|c|c|c|c|c|}
\hline
N & 7 &  15 &  22 & 30 & 37\\
\hline
$\mu_{\delta}$ &$4.0\,10^{-2}$&$2.463\, 10^{-6}$&$-0.951\, 10^{-12}$
&$-3.041\,10^{-14}$&$1.382\,10^{-14}$ \\
\hline
\end{tabular}
\end{center}
\end{example}

\begin{example} \label{examp2} \rm
 $u(r,\theta)=r^{1.5}(\sin(1.5\theta)-3\sin(0.5\theta) 
+ \cos(1.5\theta)-\cos(0.5\theta))$, and  $\omega={2\pi}$.
\begin{center}
\begin{tabular}{|c|c|c|c|c|c|}
\hline
N & 5 & 15 & 20 & 30 & 40\\
\hline
$\mu_{\delta}$ &0.8995. &0.9599. &0.9993 & 0.9999 & 1.\\
\hline
\end{tabular}
\end{center}
\end{example}

\begin{example} \label{examp3} \rm
$u(r,\theta)=r^{1.544}\big(4.302(\cos(0.092 \theta)-\cos(1.908 \theta)) 
- 1.1815 (10.869\sin(0.092 \theta)-0.524 \sin(1.908))\big)$, and
 $\omega={3\pi\over2}$.
\begin{center}
\begin{tabular}{|c|c|c|c|c|c|}
\hline
N & 5 & 10 & 15 & 20 & 35\\
\hline
$\mu_{\delta}$ &0.9017. &0.9896. &0.9991. & 0.9998 & 1. \\
\hline
\end{tabular}
\end{center}
\end{example}

\begin{figure}[htbp]
\begin{center}
 \includegraphics[width=6cm]{fig3a} % err_crack.jpg
 \includegraphics[width=6cm]{fig3b} % err_L.jpg
\end{center}
\caption{Error on the solution and the leading singularity coefficient.}
\label{fig3}
\end{figure}


Figure \ref{fig3}  shows the error curves on the solution of problem \ref{nesys} 
(curves in blue) and the curves of error on the leading singularity coefficient 
(curves in red) in both $\omega=2\pi$ and $\omega=\frac {3\pi}{2}$. 
The continuous solutions are equal to the first singular function which
 corresponds to a singularity coefficient equal to $1$  
(Examples \ref{examp2}  and \ref{examp3}). Error curves are calculated in logarithmic scale 
permitting the computing of the convergence order corresponding to the 
slope of the curve. We notice that the convergence order on the leading 
singularity coefficient is better than the convergence order of the solution. 
It is equal to $3.9986$ for the crack and to $4.6519$ for the L-domain. 
However in the case of the solution, this order is equal to $1.9997$ 
for the crack and to $2.4131$ for the L-domain.

\begin{figure}[htbp]
\begin{center}
 \includegraphics[width=6cm]{fig4a} % iso_crack.jpg
 \includegraphics[width=6cm]{fig4b} % isonew_L.jpg
\end{center}
\caption{Discrete solution $\omega=2\pi$ and $\omega=\frac {3\pi}{2}$.}
\label{fig4}
\end{figure}

Let $\Gamma_0=\{(r,\theta) \text{ such that $\theta=0$  and  }\theta =\omega\}$.
Figure \ref{fig4} shows the iso-values of the discrete solution in the case of 
 $\omega=\frac {3\pi}{2}$ for the below biharmonic  problem
\begin{gather*}
 -\Delta^2 u =0\quad \text{in }\Omega\\
 u=xy\quad \text{on }{\partial\Omega}/{\bar\Gamma_0}\\
 \frac{\partial u}{\partial n}=0\quad \text{on }{\partial\Omega}/{\bar\Gamma_0}\\
 u=0\quad \text{on }{\Gamma_0}\\
 \frac{\partial u}{\partial n}=0\quad \text{on }{\Gamma_0}\\
\end{gather*}\
and in the case when $\omega=2\pi$ the discrete solution corresponding to the problem:
\begin{gather*}
-\Delta^2 u =1\quad \text{in }\Omega\\
u=0\quad \text{on }\partial\Omega\\
\frac{\partial u}{\partial n}=0\quad\text{ on }\partial\Omega\,.
\end{gather*}

The next example  is related to the calculation of the leading singularity 
coefficient in the case of the crack for the  biharmonic problem
\begin{gather*}
-\Delta^2 u =f\quad \text{in }\Omega\\
u=0\quad \text{on }\partial\Omega/{\bar\Gamma_0}\\
\frac{\partial u}{\partial n}=g\quad \text{on }\partial\Omega/{\bar\Gamma_0}\\
u=0\quad \text{on }{\Gamma_0}\\
\frac{\partial u}{\partial n}=0\quad \text{on }{\Gamma_0}.
\end{gather*}

\begin{example} \label{examp4} \rm
 $f=0,\ g=x$ and $\omega={2\pi}$.
\begin{center}
\begin{tabular}{|c|c|c|c|c|c|}
\hline
N & 10 & 15 & 20 & 30 & 40\\
\hline
$\mu_{\delta}$ &0.1580. &0.1559. &0.1561. & 0.1562. &0.1562. \\
\hline
\end{tabular}
\end{center}
\end{example}


\subsection{Conclusion} 
In this paper,  we studied the approximation of the leading 
singularity coefficient by mortar spectral element method. 
This coefficient has a great importance in the solid mechanics domain. 
It informs on the crack propagation.
The dual method permitted to improve the results. Indeed, the obtained 
results are better than those obtained by Strang and Fix algorithm 
(see \cite{ACR}). Our conclusion is twofold: first,  
the theory is confirmed since the dual method gives us an optimal error estimate. 
Second, using the  spectral discretization for such type of problem is more efficient.

\subsection*{Acknowledgments}  
The authors would like to extend their sincere appreciation to the Deanship 
of Scientific Research at King Saud University
for funding this Research group No (RG-1435-026).

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\bibitem {SS}  A. H. Stroud, D. Secrest,
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\end{thebibliography}

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