\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2018 (2018), No. 21, pp. 1--15.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu}
\thanks{\copyright 2018 Texas State University.}
\vspace{8mm}}

\begin{document}
\title[\hfilneg EJDE-2018/21\hfil Hyperbolic equations with time delay]
{Bounded solutions of nonlinear hyperbolic equations with time delay}

\author[A. Ashyralyev, D. Agirseven \hfil EJDE-2018/21\hfilneg]
{Allaberen Ashyralyev, Deniz Agirseven}

\address{Allaberen Ashyralyev \newline
Department of Mathematics,
Near East University,
Lefkosa, Mersin 10, Turkey. \newline
Peoples' Friendship University of Russia (RUDN University),
Ul Miklukho Maklaya 6, Moscow 117198, Russia. \newline
Institute of Mathematics and Mathematical Modeling,
050010, Almaty, Kazakhstan}
\email{aallaberen@gmail.com,  allaberen.ashyralyev@neu.edu.tr}

\address{Deniz Agirseven \newline
Department of Mathematics,
Trakya University, Edirne, Turkey}
\email{denizagirseven@gmail.com}


\dedicatory{Communicated by Ludmila S. Pulkina}

\thanks{Submitted October 30, 2017. Published January 15, 2018.}
\subjclass[2010]{35L71, 35L90}
\keywords{Nonlinear hyperbolic equation; time delay; bounded solution}

\begin{abstract}
 We consider the initial value problem
 \begin{gather*}
 \frac{d^{2}u}{dt^{2}}+Au(t)=f(u(t),u(t-w)), \quad t>0, \\
 u(t)=\varphi (t),\quad -w\leq t\leq 0
 \end{gather*}
 for a nonlinear hyperbolic equation with time delay in a Hilbert space
 with the self adjoint positive definite operator $A$.
 We establish the existence and uniqueness of a bounded solution, and
 show  application of the main theorem for four nonlinear partial
 differential equations with time delay. We present first and second order
 accuracy difference schemes for the solution of one dimensional nonlinear
 hyperbolic equation with time delay. Numerical results are also given.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{remark}[theorem]{Remark}
\allowdisplaybreaks



\section{Introduction}

Delay differential equations are used to model biological, physical, and
sociological processes, as well as naturally occurring oscillatory systems
(see, for example \cite{10a,11a,111a,12a,222a,10aa,3a}).
 It is known that, in delay
differential equations, the presence of the delay term causes the
difficulties in analysis of differential equations. Lu \cite{1}, studies
monotone iterative schemes for finite-difference solutions of
reaction-diffusion systems with time delays and gives modified iterative
schemes by combing the method of upper-lower solutions and the Jacobi method
or the Gauss-Seidel method.

Ashyralyev and Sobolevskii \cite{3}, consider the initial-value problem for
linear delay partial differential equations of the parabolic type and give a
sufficient condition for the stability of the solution of this initial-value
problem. They obtain the stability estimates in H\"{o}lder norms for the
solutions of the problem.

Ashyralyev and Agirseven \cite{10,4,5,6,7,8,9} investigated several types of
initial and boundary value problems for linear delay parabolic equations.
They give theorems on stability and convergence of difference schemes for
the numerical solution of initial and boundary value problems for linear
parabolic equations with time delay.

Moreover, Ashyralyev, Agirseven and Ceylan \cite{10ad}, are
interested in finding sufficient conditions for the existence of a unique
bounded solution of the initial value problem
\begin{equation}
\begin{gathered}
\frac{du}{dt}+Au(t)=f(u(t),u(t-w)),\quad t>0, \\
u(t)=\varphi (t),\quad -w\leq t\leq 0
\end{gathered} \label{e1ad}
\end{equation}
for the differential equation in a Banach space $E$ with the positive
operator $A$ with dense domain $D(A)$. The main theorem on the existence and
uniqueness of a bounded solution of problem \eqref{e1ad} was established for
a nonlinear evolutionary equation with time delay. The application of the
main theorem for four different nonlinear partial differential equations
with time delay was shown. Numerical results were given.

Henriquez, Cuevas and Caicedo \cite{18} study the existence of almost
periodic solutions for linear retarded functional differential equations
with finite delay. They consider the existence of almost periodic solutions
with the stabilization of distributed control systems.

Hao, Fan, Cao and Sun \cite{19} proposed a linearized quasi-compact finite
difference scheme for semilinear space-fractional diffusion equations with a
fixed time delay. Under the local Lipschitz conditions, they proved the
solvability and convergence of the scheme in the discrete maximum norm by
the energy method.

Liang \cite{20} is concerned with the convergence and asymptotic stability
of semidiscrete and full discrete schemes for linear parabolic equations
with delay. She proved that the semidiscrete scheme, backward Euler and
Crank-Nicolson full discrete schemes can unconditionally preserve the
delay-independent asymptotic stability with some additional restrictions on
time and spatial stepsizes of the forward Euler full discrete scheme.

Bhrawy, Abdelkawy and Mallawi \cite{21} investigated the Chebyshev
Gauss-Lobatto pseudospectral scheme in spatial directions for solving
one-dimensional, coupled, and two-dimensional parabolic partial differential
equations with time delays. They also develop an efficient numerical
algorithm based on the Chebyshev pseudospectral algorithm to obtain the two
spatial variables in solving the two-dimensional time delay parabolic
equations.

Firstly based on the Vishik's results and using methods of operator
theory, Ismailov, Guler and Ipek \cite{22} described all solvable extensions
of a minimal operator generated by linear delay differential-operator
expression of first order in the Hilbert space of vector-functions in finite
interval. They found sharp formulas for the spectrums of these solvable
extensions.

Piriadarshani and Sengadir \cite{23} obtain an existence theorem for a
semi-linear partial differential equation with infinite delay employing a
phase space in which discretizations can naturally be performed. For linear
partial differential equations with infinite delay they show that the
solutions of the ordinary differential equation with infinite delay obtained
by the semi-discretization converge to the original solution.

Castro, Rodriguez, Cabrera and Martin \cite{24} developed an explicit finite
difference scheme for a model with coefficients variable in time and studied
their properties of convergence and stability.

It is known that various initial-boundary value problems for evolutionary
nonlinear delay partial differential equations can be reduced to the initial
value problem for the differential equation
\begin{equation}
\begin{gathered}
\frac{d^{2}u}{dt^{2}}+Au(t)=f(u(t),u(t-w)),\quad t>0, \\
u(t)=\varphi (t),-w\leq t\leq 0
\end{gathered}  \label{e1}
\end{equation}
in a Hilbert space $H$ with the self adjoint positive definite operator $A$
with dense domain $D(A)$. Let $\{c(t),t\geq 0\}$ be a strongly continuous
cosine operator-function defined by the formula
\begin{equation*}
c( t) =\frac{e^{itA^{1/2}}+e^{-itA^{1/2}}}{2}.
\end{equation*}
Then, from the definition of the sine operator-function $s( t) $,
\begin{equation*}
s(t)u=\int_0^t c(s)u\,ds
\end{equation*}
it follows that
\begin{equation*}
s( t) =A^{-1/2}\frac{e^{itA^{1/2}}-e^{-itA^{1/2}}}{2i}.
\end{equation*}
The following estimates hold:
\begin{equation}
\| c( t) \| _{H\to H}\leq 1,\| A^{1/2}s(t) \| _{H\to H}\leq 1,\quad t>0.  \label{e2}
\end{equation}

In this article, we are interested in finding sufficient conditions for the
existence of a unique bounded solution of problem \eqref{e1}. The main
theorem on the existence and uniqueness of a bounded solution of problem
\eqref{e1} is established for a nonlinear evolutionary equation with time
delay. The application of the main theorem for four different nonlinear
partial differential equations with time delay is shown. In general, it is
not possible to get exact solution of nonlinear problems. Therefore, we can
not be able to obtain a sharp estimate for the constants figuring in
theorems on existence and uniqueness of a bounded solution. Finally, the
first and second order of accuracy difference schemes for the solution of
one dimensional nonlinear hyperbolic equation with time delay are presented.
Numerical results are given. Note that bounded solutions of nonlinear one
dimensional parabolic and hyperbolic partial differential equations with
time delay have been investigated in earlier papers
 \cite{11,13,12,14,15}. The
generality of the approach considered in this paper, however, allows for
treating a wider class of multidimensional delay nonlinear differential
equations.

\section{Main existence and uniqueness theorem}

The method of proof is based on reducing problem \eqref{e1} to the integral
equation
\begin{gather*}
\begin{aligned}
u(t)&=c( t-(n-1)w) u((n-1)w)+s( t-(n-1)w) \frac{du((n-1)w)}{dt} \\
&\quad +\int_{(n-1)w}^t s( t-y) f(u(y),u(y-w))dy,
\end{aligned}\\
(n-1)w\leq t\leq nw,\quad n=1,2,\dots ,\quad u(t)=\varphi (t),
\quad -w\leq t\leq 0
\end{gather*}
in $[0,\infty )\times H\times H$ and the use of successive approximations.
The recursive formula for the solution of problem \eqref{e1} is
\begin{equation} \label{ee1}
\begin{gathered}
\begin{aligned}
u_i(t)&=c( t-(n-1)w) u_i((n-1)w)+s( t-(n-1)w) \frac{du_i((n-1)w)}{dt} \\
&\quad +\int_{(n-1)w}^t s( t-y) f(u_{i-1}(y),u_i(y-w))dy,
\end{aligned}\\
u_0(t)=c( t-(n-1)w) u_i((n-1)w)+s( t-(n-1)w) \frac{
du_i((n-1)w)}{dt}, \\
(n-1)w\leq t\leq nw, \quad n=1,2,\dots , \quad i=1,2,\dots ,\\
 u_i(t)=\varphi (t),\quad -w\leq t\leq 0.
\end{gathered}
\end{equation}

\begin{theorem} \label{thm2.1}
Assume the following hypotheses:
For each $t$, $-w\leq t\leq 0$, we have $\varphi (t)\in D(A)$ and
\begin{equation}
\| \varphi (t)\| _{H}\leq M, \quad
\| A^{-1/2}\varphi '(t)\|_{H}\leq \widetilde{M}\,.  \label{ea2}
\end{equation}
The function $f:H\times H\longrightarrow H$ is continuous and bounded,
that is
\begin{equation}
\| A^{-1/2}f(u,v)\| _{H}\leq \bar{M}  \label{aa2}
\end{equation}
in $H\times H$, and the Lipschitz condition holds uniformly with respect to $z$,
\begin{equation}
\| A^{-1/2}( f(u,z)-f(v,z)) \| _{H}\leq L\| u-v\|_{H}.  \label{eeeeee}
\end{equation}
Here, $L,M,\widetilde{M},\bar{M}$ are positive constants.
Then there exists a unique solution to problem \eqref{e1} which is bounded in
 $[0,\infty)\times H\times H$.
\end{theorem}

\begin{proof}
We consider the interval $0\leq t\leq w$. Problem \eqref{e1} becomes
\begin{equation*}
\frac{d^{2}u}{dt^{2}}+Au(t)=f(u(t),\varphi (t-w)),\quad
u(0)=\varphi (0),u'(0)=\varphi '(0)
\end{equation*}
and it can be written in equivalent integral form
\begin{equation}
u(t)=c( t) \varphi (0)+s( t) \varphi '(0)
+\int_0^t s( t-y) f(u(y),\varphi (y-w))dy.  \label{15}
\end{equation}
According to the method of recursive approximation \eqref{ee1}, we get
\begin{equation}
u_i(t)=c( t) \varphi (0)+s( t) \varphi '(0)
+\int_0^t s( t-y) f(u_{i-1}(y),\varphi (y-w))dy,
\label{16}
\end{equation}
for $i=1,2,\dots $. Therefore,
\begin{equation}
u(t)=u_0(t)+\sum_{i=0}^{\infty }(u_{i+1}(t)-u_i(t)),  \label{16a}
\end{equation}
where
\begin{equation*}
u_0(t)=c( t) \varphi (0)+s( t) \varphi '(0).
\end{equation*}
Applying estimates \eqref{e2} and \eqref{ea2}, we get
\begin{equation*}
\| u_0(t)\| _{H}
\leq \| c( t) \| _{H\to H}\| \varphi (0)\| _{H}+\| A^{1/2}s( t) \|
_{H\to H}\| A^{-1/2}\varphi '(0)\| _{H}\leq M+
\widetilde{M}.
\end{equation*}
Applying formula \eqref{16} and estimates \eqref{e2} and \eqref{aa2}, we get
\begin{align*}
\| u_{1}(t)-u_0(t)\| _{H}
&\leq \int_0^t \| A^{1/2}s(t-y) \| \| A^{-1/2}f(u_0(y),\varphi (y-w))\| _{H}dy\\
&\leq \bar{M}t.
\end{align*}
Using the triangle inequality, we get
\begin{equation*}
\| u_{1}(t)\| _{H}\leq M+\widetilde{M}+\bar{M}t.
\end{equation*}
Applying formula \eqref{16} and estimates \eqref{eeeeee}, \eqref{e2} and
\eqref{aa2}, we get
\begin{align*}
&\| u_{2}(t)-u_{1}(t)\| _{H} \\
&\leq \int_0^t \| A^{1/2}s(t-y) \| \| A^{-1/2}[ f(u_{1}(y),\varphi
(y-w))-f(u_0(y),\varphi (y-w))] \| _{H}dy \\
&\leq L\int_0^t \| u_{1}(y)-u_0(y)\| _{H}dy \\
&\leq L\bar{M} \int_0^t ydy
=\frac{\bar{M}}{L}\frac{(Lt)^{2}}{2!}.
\end{align*}
Then
\begin{equation*}
\| u_{2}(t)\| _{H}\leq M+\widetilde{M}+\frac{\bar{M}}{L}\frac{Lt}{1!}+
\frac{\bar{M}}{L}\frac{(Lt)^{2}}{2!}.
\end{equation*}
Let
\begin{equation*}
\| u_n(t)-u_{n-1}(t)\| _{H}\leq \frac{\bar{M}}{L}\frac{(Lt)^{n}}{n!}.
\end{equation*}
Then, we obtain
\begin{align*}
&\| u_{n+1}(t)-u_n(t)\| _{H} \\
&\leq \int_0^t \| A^{1/2}s(t-y) \| \| A^{-1/2}
 [ f(u_n(y),\varphi(y-w))-f(u_{n-1}(y),\varphi (y-w))] \| _{H}dy \\
&\leq \int_0^t L\| u_n(y)-u_{n-1}(y)\| _{H}ds \\
&\leq \int_0^t L \frac{\bar{M}}{L}\frac{(Ly)^{n}}{n!}dy
 =\frac{\bar{M}}{L}\frac{(Lt)^{n+1}}{(n+1)!}.
\end{align*}
Therefore, for any $n,n\geq 1$, we have
\begin{gather*}
\| u_{n+1}(t)-u_n(t)\| _{H}\leq \frac{\bar{M}}{L}\frac{(Lt)^{n+1}}{(n+1)!}, \\
\| u_{n+1}(t)\| _{H}\leq M+\widetilde{M}+\frac{\bar{M}}{L}\frac{Lt}{1!}
+\dots +\frac{\bar{M}}{L}\frac{(Lt)^{n+1}}{(n+1)!}
\end{gather*}
by mathematical induction. From this and formula \eqref{16a} it follows that
\begin{align*}
\| u(t)\| _{H}
&\leq \| u_0(t)\| _{H}+\sum_{i=0}^{\infty }\| u_{i+1}(t)-u_i(t)\| _{H} \\
&\leq M+\widetilde{M}+\sum_{i=0}^{\infty }\frac{
\bar{M}}{L}\frac{(Lt)^{i+1}}{(i+1)!} \\
&\leq M+\widetilde{M}+\frac{\bar{M}}{L}e^{Lt},0\leq t\leq w
\end{align*}
which proves the existence of a bounded solution of problem \eqref{e1} in
$[0,w]\times H\times H$.

Now, we consider solution of problem \eqref{e1} in $w\leq t\leq 2w$. We note
that $0\leq t-w\leq w$. We denote that
\begin{equation*}
\varphi _{1}(t)=u(t-w),w\leq t\leq 2w.
\end{equation*}
Replacing $t$ and $t-w$ and assuming that
\begin{gather*}
\| A^{-1/2}f(u_0(t),\varphi _{1}(t))\| _{H}\leq \bar{M}_{1}, \\
\| \varphi _{1}(t)\| _{H}\leq M_{1},\quad
\| A^{-1/2}\varphi _{1}'(t)\| _{H} \leq \widetilde{M_{1}}.
\end{gather*}
Therefore,
\begin{gather*}
u_0(t)=c( t-w) \varphi _{1}(w)+s( t-w) \frac{d\varphi _{1}(w)}{dt}, \\
\begin{aligned}
u_i(t)&=c( t-w) \varphi _{1}(w)+s( t-w) \frac{d\varphi _{1}(w)}{dt}\\
&\quad +\int_{w}^t s( t-y) f(u_{i-1}(y),u_i(y-w))dy,\quad i=1,2,\dots .
\end{aligned}
\end{gather*}
In a similar manner, for any $n,n\geq 1$, we obtain
\begin{gather*}
\| u_{n+1}(t)-u_n(t)\| _{H}\leq \frac{\bar{M}_{1}}{L}
\frac{(L(t-w) )^{n+1}}{(n+1)!}, \\
\| u_{n+1}(t)\| _{H}\leq M_{1}+\widetilde{M_{1}}+\frac{\bar{M}_{1}}{L}
\frac{Lt}{1!}+\dots +\frac{\bar{M}_{1}}{L}\frac{(L(t-w) )^{n+1}}{(n+1)!}.
\end{gather*}
From this it follows that
\begin{equation*}
\| u(t)\| _{H}\leq M_{1}+\widetilde{M_{1}}+\frac{\bar{M_{1}}}{L}
e^{L(t-w)},\quad w\leq t\leq 2w
\end{equation*}
which proves the existence of a bounded solution of problem \eqref{e1} in
$[w,2w]\times H\times H$.

In a similar manner, we can obtain
\begin{equation*}
\| u(t)\| _{H}\leq M_n+\widetilde{M_n}+\frac{\bar{M_n}}{L}
e^{L(t-nw)},\quad nw\leq t\leq (n+1)w,
\end{equation*}
where $M_n,$ $\widetilde{M_n}$ and $\bar{M_n}$ are bounded.
This proves the existence of a bounded solution of problem \eqref{e1} in
$[nw,( n+1) w]\times H\times H$. In general, the function $u(t)$
constructed is a solution of problem \eqref{e1} which is bounded in
$[0,\infty )\times H\times H$.

Now we will prove uniqueness of this solution of problem \eqref{e1}.
Assume that there is a bounded solution $v(t)$ of problem \eqref{e1}
and $v(t)\neq u(t)$. We denote that $z(t)=v(t)-u(t)$.
Therefore for $z(t)$, we have
\begin{gather*}
\frac{d^{2}z(t)}{dt^{2}}+Az(t)=f(v(t),v(t-w))-f(u(t),u(t-w)),\quad t>0, \\
z(t)=0,\quad -w\leq t\leq 0.
\end{gather*}
We consider the interval $0\leq t\leq w$. Since $v(t-w)=u(t-w)=\varphi
(t-w)$, we have
\begin{gather*}
\frac{d^{2}z(t)}{dt^{2}}+Az(t)=f(v(t),\varphi (t-w))-f(u(t),\varphi (t-w)),\quad
t>0, \\
z(t)=0,\quad -w\leq t\leq 0.
\end{gather*}
Therefore,
\begin{equation*}
z(t)=\int_0^t s( t-y) [ f(v(y),\varphi(y-w))-f(u(y),\varphi (y-w))] ds.
\end{equation*}
Applying estimates \eqref{e2} and \eqref{aa2}, we get
\begin{align*}
\| z(t)\| _{H}
&\leq \int_0^t \| A^{1/2}s( t-y) \|
\| A^{-1/2}[ f(v(y),\varphi (y-w))-f(u(y),\varphi (y-w))]\| _{H}dy\\
&\leq L\int_0^t \| v(y)-u(y)\| _{H}ds\leq L\int_0^t \|z(y)\| _{H}dy.
\end{align*}
Using the integral inequality, we get
\begin{equation*}
\| z(t)\| _{H}\leq 0.
\end{equation*}
From that it follows that $z(t)=0$ which proves the uniqueness of a bounded
solution of problem \eqref{e1} in $[0,w]\times H\times H$.  Applying same
way and  mathematical induction, we can prove the uniqueness of a bounded
solution of problem \eqref{e1} in $[0,\infty )\times H\times H$.
\end{proof}

\begin{remark} \label{rmk2.1} \rm
Method of present paper also enables to prove, under
certain assumptions, the existence of a unique bounded solution of the
initial value problem for evolutionary nonlinear partial differential
equations
\begin{equation}
\begin{gathered}
\frac{d^{2}u}{dt^{2}}+Au(t)=f(t,u(t),u([ t] )), \quad t>0, \\
u(0)=\varphi (0), \quad u'(0)=\varphi '(0)
\end{gathered}  \label{v}
\end{equation}
in a Hilbert space $H$ with the self adjoint positive definite operator $A$
with dense domain $D(A)$. Here $[ t] $ denotes the
greatest-integer function.
\end{remark}

\section{Applications}

First, we consider the initial-boundary value problem for one dimensional
nonlinear delay differential equations of hyperbolic type
\begin{equation}
\begin{gathered}
\frac{\partial ^{2}u(t,x)}{\partial t^{2}}-( a(x)u_{x}( t,x)) _{x}
+\delta u(t,x)=f(x,u(t,x),u(t-w,x)), \\
0<t<\infty ,x\in ( 0,l) \\
u(t,x)=\varphi (t,x),\quad \varphi (t,0)=\varphi (t,l),\quad
\varphi _{x}(t,0)=\varphi_{x}(t,l),\\
 -\omega \leq t\leq 0, \quad x\in [ 0,l] , \\
u(t,0)=u(t,l),\quad u_{x}(t,0)=u_{x}(t,l),\quad -\omega \leq t<\infty ,
\end{gathered}  \label{apl}
\end{equation}
where $a(x),\varphi (t,x)$ are given sufficiently smooth functions and
$\delta >0$ is the sufficiently large number. We will assume that
$a(x)\geq a>0$ and $a(l)=a(0)$.

\begin{theorem} \label{thm3.1}
Assume the following hypotheses:
\begin{enumerate}
\item For each $t,-w\leq t\leq 0$, we have
\begin{equation}
\| \varphi (t,\cdot)\| _{L_{2}[ 0,l] }\leq
M,\| \varphi '(t,\cdot)\| _{L_{2}[ 0,l]
}\leq \widetilde{M}.  \label{ea2a}
\end{equation}

\item The function $f:( 0,l) \times L_{2}[ 0,l] \times
L_{2}[ 0,l] \to L_{2}[ 0,l] $ is continuous
and bounded, that is
\begin{equation}
\| f(u,v)\| _{L_{2}[ 0,l] }\leq \overline{M} \label{aa2a}
\end{equation}
and the Lipschitz condition holds uniformly with respect to $z$
\begin{equation}
\| f(u,z)-f(v,z)\| _{L_{2}[ 0,l] }\leq L\| u-v\| _{L_{2}[ 0,l] }.  \label{eeeeeea}
\end{equation}
Here and below, $L,M,\widetilde{M},\overline{M}$ are positive constants.
\end{enumerate}
Then there exists a unique solution to problem \eqref{apl} which is bounded
in $[0,\infty )\times L_{2}[ 0,l] \times L_{2}[ 0,l] $.
\end{theorem}

The proof of Theorem \ref{thm3.1} is based on the abstract Theorem \ref{thm2.1}, on the
self-adjointness and positivity in $L_{2}[ 0,l] $ of a
differential operator $A^{x}$ defined by the formula
\begin{equation}
A^{x}u=-\frac{d}{dx}\Big( a(x)\frac{du}{dx}\Big) +\delta u  \label{apl1}
\end{equation}
with domain $D(A^{x})=\{ u\in W_{2}^{2}[ 0,l] :u(
0) =u( l) ,u'( 0) =u'(l) \} $ \cite{17} and on the estimate
\begin{equation}
\| c\{t\}\| _{L_{2}[ 0,l] \to L_{2}[ 0,l]
}\leq 1,\;\| ( A^{x}) ^{1/2}s\{t\}\| _{L_{2}[
0,l] \to L_{2}[ 0,l] }\leq 1,\quad t\geq 0.  \label{x}
\end{equation}

 Second, we consider the initial nonlocal boundary value problem for
one dimensional nonlinear delay differential equations of hyperbolic type
with involution
\begin{equation}
\begin{gathered}
\begin{aligned}
&\frac{\partial ^{2}u(t,x)}{\partial t^{2}}-( a(x)u_{x}( t,x)) _{x}
-\beta ( a(-x)u_{x}( t,-x) ) _{x}+\delta u(t,x) \\
&=f(x,u(t,x),u(t-w,x)),\quad 0<t<\infty ,x\in ( -l,l) ,
\end{aligned} \\
u(t,x)=\varphi (t,x),\quad \varphi (t,-l)=\varphi (t,l)=0, \\
-\omega \leq t\leq 0, \quad x\in [ -l,l] , \\
u(t,-l)=u(t,l)=0,\quad -\omega \leq t<\infty ,
\end{gathered}  \label{ap2}
\end{equation}
where $a(x)$ and $\varphi (t,x)$ are given sufficiently smooth functions and
 $\delta >0$ is the sufficiently large number. We will assume that
$a\geq a( x) =a( -x) \geq \delta >0,$ $\delta -a|\beta | \geq 0$.

\begin{theorem} \label{thm3.2}
Assume the following hypotheses:
\begin{enumerate}
\item For each $t$, $-w\leq t\leq 0$, we have
\begin{equation*}
\| \varphi (t,\cdot)\| _{L_{2}[ -l,l] }\leq
M,\| \varphi '(t,\cdot)\| _{L_{2}[ -l,l]
}\leq \widetilde{M}.
\end{equation*}

\item The function $f:( -l,l) \times L_{2}[ -l,l]
\times L_{2}[ -l,l] \to L_{2}[ -l,l] $ is
continuous and bounded, that is
\begin{equation*}
\| f(u,v)\| _{L_{2}[ -l,l] }\leq \overline{M}
\end{equation*}
and the Lipschitz condition holds uniformly with respect to $z$,
\begin{equation*}
\| f(u,z)-f(v,z)\| _{L_{2}[ -l,l] }\leq L\| u-v\| _{L_{2}[ -l,l] }.
\end{equation*}
\end{enumerate}
Then there exists a unique solution to problem \eqref{ap2} which is bounded
in $[0,\infty )\times L_{2}[ -l,l] \times L_{2}[ -l,l]$.
\end{theorem}

The proof of Theorem \ref{thm3.2} is based on the abstract Theorem \ref{thm2.1}, on the
self-adjointness and positivity in $L_{2}[ -l,l] $ of a
differential operator $A^{x}$ defined by the formula
\begin{equation*}
A^{x}v(x)=-( a(x)v_{x}(x) _{x}-\beta ( a(-x)v_{x}(-x) ) _{x}+\delta v( x)
\end{equation*}
with the domain $D(A^{x})=\{ u\in W_{2}^{2}[ -l,l] :u(-l) =u( l) =0\} $
\cite{17a} and on the estimate
\begin{equation*}
\| c\{t\}\| _{L_{2}[ -l,l] \to L_{2}[ -l,l] }\leq 1,\quad
 \| ( A^{x}) ^{1/2}s\{t\}\| _{L_{2} [ -l,l] \to L_{2}[ -l,l] }\leq 1,\quad
t\geq 0.
\end{equation*}

Third, let $\Omega \subset R^{n}$\ be a bounded open domain with smooth
boundary $S$, $\overline{\Omega }=\Omega \cup S$.
In $[0,\infty )\times \Omega $ we consider the initial boundary value problem for
multidimensional nonlinear delay differential equations of hyperbolic type
\begin{equation}
\begin{gathered}
\begin{aligned}
&\frac{\partial ^{2}u(t,x)}{\partial t^{2}}-\sum
_{r=1}^{n}(a_{r}(x)u_{x_{r}})x_{r}+\delta u(t,x) \\
&=f(x,u(t,x),u(t-w,x)),\quad 0<t<\infty ,\; x=(x_{1},\dots ,x_n)\in \Omega ,
\end{aligned}\\
u(t,x)=\varphi (t,x),\quad -\omega \leq t\leq 0,\quad x\in \overline{\Omega }, \\
u(t,x)=0,\quad x\in S,\quad 0\leq t<\infty ,
\end{gathered}  \label{ap5}
\end{equation}
where $a_{r}(x)$ and $\varphi (t,x)$ are given sufficiently smooth functions
and $\delta >0$ is the sufficiently large number and $a_{r}(x)>0$.

\begin{theorem} \label{thm3.3}
 Assume the following hypotheses:
\begin{enumerate}
\item For each $t$, $-w\leq t\leq 0$ we have
\begin{equation*}
\| \varphi (t,\cdot)\| _{L_{2}(\overline{\Omega })}\leq M,\quad
\| \varphi '(t,\cdot)\| _{L_{2}(\overline{\Omega })}\leq \widetilde{M}.
\end{equation*}

\item The function $f:Q\times L_{2}(\overline{\Omega })\times L_{2}(
\overline{\Omega })\to L_{2}(\overline{\Omega })$ is continuous and
bounded, that is
\begin{equation*}
\| f(u,v)\| _{L_{2}(\overline{\Omega })}\leq \overline{M}
\end{equation*}
and the Lipschitz condition holds uniformly with respect to $z$,
\begin{equation*}
\| f(u,z)-f(v,z)\| _{L_{2}(\overline{\Omega })}\leq
L\| u-v\| _{L_{2}(\overline{\Omega })}.
\end{equation*}
\end{enumerate}
Then there exists a unique solution to problem \eqref{ap5} which is bounded
in $[0,\infty )\times L_{2}(\overline{\Omega })\times L_{2}(\overline{\Omega})$.
\end{theorem}

The proof of Theorem \ref{thm3.3} is based on the abstract Theorem \ref{thm2.1}, on the
self-adjointness and positivity in $L_{2}(\overline{\Omega })$ of a
differential operator $A^{x}$ defined by the formula
\begin{equation}
A^{x}u(x)=-\sum_{r=1}^{n}(a_{r}(x)u_{x_{r}})_{x_{r}}+\delta u(x)
\label{v1}
\end{equation}
with domain \cite{8a}
\begin{equation*}
D(A^{x})=\{ u(x):u(x),u_{x_{r}}(x),(a_{r}(x)u_{x_{r}})_{x_{r}}\in L_{2}(
\overline{\Omega }),1\leq r\leq n,u(x)=0,x\in S\}
\end{equation*}
and on the estimate
\begin{equation}
\| c\{t\}\| _{L_{2}(\overline{\Omega })\to L_{2}(\overline{
\Omega })}\leq 1,\;\| ( A^{x}) ^{1/2}s\{t\}\|
_{L_{2}(\overline{\Omega })\to L_{2}(\overline{\Omega })}\leq
1,\quad t\geq 0.  \label{ssss}
\end{equation}

Fourth, in $[0,\infty )\times \Omega $ we consider the initial
boundary value problem for multidimensional nonlinear delay differential
equations of hyperbolic type
\begin{equation}
\begin{gathered}
\frac{\partial ^{2}u(t,x)}{\partial t^{2}}-\sum
_{r=1}^{n}(a_{r}(x)u_{x_{r}})x_{r}+\delta u(t,x)
=f(x,u(t,x),u(t-w,x)), \\
0<t<\infty , \quad x=(x_{1},\dots ,x_n)\in \Omega , \\
u(t,x)=\varphi (t,x),\quad -\omega \leq t\leq 0,\quad x\in \overline{\Omega }, \\
\frac{\partial u}{\partial \vec{n}}(t,x)=0, \quad x\in S,\quad 0\leq t<\infty ,
\end{gathered}  \label{ap6}
\end{equation}
where $a_{r}(x)$ and $\varphi (t,x)$ are given sufficiently smooth functions
and $\delta >0$ is the sufficiently large number and $a_{r}(x)>0$.
Here, $\overrightarrow{n}$ is the normal vector to $\Omega $.

\begin{theorem} \label{thm3.4}
 Suppose that assumptions of Theorem \ref{thm3.3} hold. Then
there exists a unique solution to problem \eqref{ap6} which is bounded in
$[0,\infty )\times L_{2}(\overline{\Omega })\times L_{2}(\overline{\Omega })$.
\end{theorem}

The proof of Theorem \ref{thm3.4} is based on the abstract Theorem \ref{thm2.1}, on the
self-adjointness and positivity in $L_{2}(\overline{\Omega })$ of a
differential operator $A^{x}$ defined by the formula
\begin{equation*}
A^{x}u(x)=-\sum_{r=1}^{n}(a_{r}(x)u_{x_{r}})_{x_{r}}+\delta u(x)
\end{equation*}
with domain \cite{8a}
\begin{equation*}
D(A^{x})=\{ u(x):u(x),u_{x_{r}}(x),(a_{r}(x)u_{x_{r}})_{x_{r}}\in L_{2}(
\overline{\Omega }),1\leq r\leq n,\frac{\partial u}{\partial \vec{n}}
(x)=0,x\in S\}
\end{equation*}
and on estimate \eqref{ssss}.


\section{Numerical results}

In general, it is not possible to get exact solution of nonlinear problems.
Therefore, the first and second order of accuracy difference schemes for the
solution of one dimensional nonlinear hyperbolic equation with time delay
are presented. Numerical results are provided. We consider the
initial-boundary value problem
\begin{equation}
\begin{gathered}
\begin{aligned}
\frac{\partial ^{2}u(t,x)}{\partial t^{2}}
 -\frac{\partial ^{2}u(t,x) }{\partial x^{2}}
&=2e^{-t}\sin x+\cos ( u( t,x) u( t-1,x) )\\
&\quad -\cos ( e^{-t}\sin x u( t-1,x) ) ,
\end{aligned} \\
0<t<\infty ,\; 0<x<\pi ,  \\
u( t,x) =e^{-t}\sin x,\quad 0\leq x\leq \pi ,\quad -1\leq t\leq 0, \\
u( t,0) =u( t,\pi ) =0,\quad t\geq 0
\end{gathered}  \label{18}
\end{equation}
for the nonlinear delay hyperbolic differential equation. The exact solution
of this test example is $u( t,x) =e^{-t}\sin x$.

We get the following iterative difference scheme of first order of accuracy
in $t$ for the approximate solution of the initial-boundary value problem
\eqref{18},
\begin{equation}
\begin{gathered}
\begin{aligned}
&\frac{_{m}u_n^{k+1}-2( _{m}u_n^{k}) +_{m}u_n^{k-1}}{\tau
^{2}}-\frac{_{m}u_{n+1}^{k+1}-2( _{m}u_n^{k+1})
+_{m}u_{n-1}^{k+1}}{h^{2}}\\
&=2e^{-t_k}\sin x_n +\cos ( ( _{m-1}u_n^{k}) ( _{m}u_n^{k-N})
) -\cos ( e^{-t_k}\sin x_n( _{m}u_n^{k-N})) ,
\end{aligned} \\
t_k=k\tau ,\quad x_n=nh,\quad 1\leq k<\infty ,\quad 1\leq n\leq M-1,
\quad N\tau =1,\quad Mh=\pi , \\
_{m}u_n^{k}= e^{-t_k}\sin x_n,\frac{_{m}u_n^{k+1}-_{m}u_n^{k}}{\tau }
=- e^{-t_k}\sin x_n,\\
 t_k=k\tau ,\quad x_n=nh,0\leq n\leq M, \quad -N\leq k\leq 0,\\
_{m}u_0^{k}=_{m}u_{M}^{k}=0, \quad 0\leq k<\infty ,\; m=1,2,\dots
\end{gathered} \label{19}
\end{equation}
for the nonlinear delay hyperbolic equation. Here and in future $m$ denotes
the iteration index and an initial guess $_0u_n^{k},k\geq 1,0\leq n\leq
M $ is to be made. For solving difference scheme \eqref{19}, the numerical
steps are given below. For $0\leq k<N,0\leq n\leq M$ the algorithm is as
follows : the algorithm is as follows :
\begin{enumerate}
\item  $m=1$.
\item  $_{m-1}u_n^{k}$ is known.
\item  $_{m}u_n^{k}$ is calculated.
\item  If the max absolute error between $_{m-1}u_n^{k}$ and
$_{m}u_n^{k}$ is greater than the given tolerance
value, take $m=m+1$ and go to step 2. Otherwise, terminate the iteration
process and take   $_{m}u_n^{k}$ as the result of the given problem.
\end{enumerate}

We write \eqref{19} in the matrix form
\begin{equation}
\begin{gathered}
A{}_{m}u^{k+1}+B{}_{m}u^{k}+C{}_{m}u^{k-1}=R\varphi(
{}_{m-1}u^{k}, {}_{m}u^{k-N}), \\
Nl+1\leq k\leq (l+1)N-1,\quad l=0,1,\dots , \\
{}_{m}u^{k}=e^{-t_k}\{ \sin
x_n\}
_{n=0}^{M},{}_{m}u^{k+1}={}_{m}u^{k}-\tau e^{-t_k}\{ \sin
x_n\}_{n=0}^{M},\quad -N\leq k\leq 0.
\end{gathered}\label{20}
\end{equation}
Here
\[
a =-\frac{1}{h^{2}},\quad b=\frac{1}{\tau^{2}}+\frac{2}{h^{2}}, \quad
c=-\frac{2}{\tau^{2}}, \quad d=\frac{1}{\tau^{2}}
\]
and $A$, $B$,and $C$ are $(M+1)\times (M+1)$ matrices given below:
\begin{gather*}
A=\begin{bmatrix}
1 & 0 & 0 & 0 & 0 & \dots & 0  &  0 & 0 & 0 \\
a & b & a & 0 & 0 &  & 0 & 0 & 0 & 0 \\
0 & a & b & a & 0 &  & 0 & 0 & 0 & 0 \\
0 & 0 & a & b & a &  & 0 & 0 & 0 & 0 \\
0 & 0 & 0 & a & b &  & 0 & 0 & 0 & 0 \\
\vdots & &&& &&& && \vdots \\
0 & 0 & 0 & 0 & 0 &  &  & a & b & a \\
0 & 0 & 0 & 0 & 0 & \dots & 0 & 0 & 0 & 1
\end{bmatrix}, \\
B=\begin{bmatrix}
0 & 0 & 0 & 0 & 0 & \dots & 0 & 0 & 0 & 0 \\
0 & c & 0 & 0 & 0 &  & 0 & 0 & 0 &0 \\
0 & 0 & c & 0 & 0 &  & 0 & 0 & 0 & 0 \\
0 & 0 & 0 & c & 0 &  & 0 & 0 & 0 & 0 \\
\vdots & &&& &&& && \vdots \\
0 & 0 & 0 & 0 & 0 &  & 0 & c & 0 & 0 \\
0 & 0 & 0 & 0 & 0 &  & 0 & 0 & c & 0\\
0 & 0 & 0 & 0 & 0 & \dots & 0 & 0 & 0 & 0
\end{bmatrix},\\
C=\begin{bmatrix}
0 & 0 & 0 & 0 & 0 & \dots & 0 & 0 & 0 & 0 \\
0 & d & 0 & 0 & 0 &  & 0 & 0 & 0 & 0 \\
0 & 0 & d & 0 & 0 &  & 0 & 0 & 0 & 0\\
0 & 0 & 0 & d & 0 &  & 0 & 0 & 0 & 0 \\
\vdots & &&& &&& && \vdots \\
0 & 0 & 0 & 0 & 0 &  & 0 & d & 0 & 0 \\
0 & 0 & 0 & 0 & 0 &  & 0 & 0 & d & 0 \\
0 & 0 & 0 & 0 & 0 & \dots & 0 & 0 & 0 & 0
\end{bmatrix}
\end{gather*}
and here and below $R$ is the
$(M+1)\times (M+1)$ identity matrix,
${}_{m}u_n^{k}=e^{-t_k}\sin x_n$
for $-N\leq k\leq 0$,
$\varphi({}_{m-1}u^{k}, {}_{m}u^{k-N})$ and ${}_{m}u^s$ are
$(M+1) \times 1$ column vectors as
\begin{gather*}
\varphi({}_{m-1}u^{k}, {}_{m}u^{k-N})
=\begin{bmatrix}
0\\
{}_{m}\varphi_1^{k} \\
\dots\\
{}_{m}\varphi_{M-1}^{k}
\\
0
\end{bmatrix}, \quad
{}_{m}u^{s}=
\begin{bmatrix}
{}_{m}u_0^s \\
{}_{m}u_1^s
\\
\dots\\
{}_{m}u_{M-1}^s\\
{}_{m}u_{M}^s
\end{bmatrix}, \quad
 s=k, \;k\pm 1, \\
  {}_{m}\varphi_n^{k}=2e^{-t_k}\sin
x_n+\cos(({}_{m-1}u_n^{k})({}_{m}u_n^{k-N}))-
\cos (e^{-t_k}\sin  x_n({}_{m}u_n^{k-N}))\quad
\end{gather*}
for $Nl+1\leq k\leq (l+1)N-1$, $l=0,1,\dots ,$ $1 \leq n \leq M-1$.

So, we have the first order difference equation with respect to $k$
with matrix coefficients.
From \eqref{20} it follows that
\begin{equation}
\begin{gathered}
{}_{m}u^{k+1}=-A^{-1}
(B{}_{m}u^{k}-C{}_{m}u^{k-1}+A^{-1}R
\varphi^{k}({}_{m-1}u^{k},{}_{m}u^{k-N})), \\
Nl+1\leq k\leq (l+1)N-1,\quad l=0,1,\dots , \\
\begin{aligned}
{}_{m}u^{k}
&=e^{-t_k}\{ \sin x_n\}_{n=0}^{M},{}_{m}u^{k+1}\\
&={}_{m}u^{k}-\tau e^{-t_k}\{ \sin x_n\}_{n=0}^{M},\quad -N\leq k\leq 0.
\end{aligned} 
\end{gathered} \label{21}
\end{equation}

Now, we get the following iterative difference scheme of second
order of accuracy in $t$ for the approximate solution of the
initial-boundary value problem \eqref{18},
\begin{equation}
\begin{gathered}
\begin{aligned}
&\frac{_{m}u_n^{k+1}-2( _{m}u_n^{k}) +_{m}u_n^{k-1}}{\tau ^{2}}
- \frac{_{m}u_{n+1}^{k+1}-2( _{m}u_n^{k+1})+_{m}u_{n-1}^{k+1}}{2h^{2}}\\
&-\frac{_{m}u_{n+1}^{k-1}-2(_{m}u_n^{k-1})+_{m}u_{n-1}^{k-1}}{2h^{2}}\\
&=2e^{-t_k}\sin x_n+\cos ( (_{m-1}u_n^{k}) ( _{m}u_n^{k-N}))
 -\cos (e^{-t_k}\sin x_n( _{m}u_n^{k-N})) ,
\end{aligned} \\
t_k=k\tau ,\quad x_n=nh, \quad 1\leq k<\infty ,\quad 1\leq n\leq M-1, \quad
N\tau=1,\quad Mh=\pi , \\
_{m}u_n^{k}=e^{-t_k}\sin x_n, \quad
\frac{_{m}u_n^{k+1}-_{m}u_n^{k}}{\tau}=e^{-t_k}(-1+\frac{\tau}{2})\sin x_n,\\
t_k=k\tau ,\quad  x_n=nh, \quad 0\leq n\leq M,\quad -N \leq k\leq 0\\
_{m}u_0^{k}=_{m}u_{M}^{k}=0, \quad 0\leq k<\infty, \quad m=1,2,\dots .
\end{gathered}   \label{22}
\end{equation}
We have again $(M+1)\times (M+1)$ system
of linear equations and we rewrite \eqref{22} in the matrix form
\begin{equation}
\begin{gathered}
A{}_{m}u^{k+1}+B{}_{m}u^{k}+C{}_{m}u^{k-1}
=R\varphi({}_{m-1}u^{k}, {}_{m}u^{k-N}), \\
Nl+1\leq k\leq (l+1)N-1,\quad l=0,1,\dots ,\\
\begin{aligned}
{}_{m}u^{k}
&=e^{-t_k}\{ \sin x_n\}_{n=0}^{M},{}_{m}u^{k+1} \\
&={}_{m}u^{k}+\big(\frac{\tau^{2}}{2}
-\tau\big) e^{-t_k}\{ \sin x_n\}_{n=0}^{M},\quad -N\leq k\leq 0.
\end{aligned}
\end{gathered}\label{23}
\end{equation}
Here
\[
e =-\frac{1}{2h^{2}},\quad
f=\frac{1}{\tau^{2}}+\frac{1}{h^{2}}, \quad g=-\frac{2}{\tau^{2}}
\]
and $A$, $B$, and $C$ are the $(M+1)\times (M+1)$ matrices given below:
\begin{gather*}
A=C=\begin{bmatrix}
1 & 0 & 0 & 0 & 0 & \dots & 0 & 0 & 0 & 0 \\
e & f & e & 0 & 0 &  & 0 & 0 & 0 & 0
\\
0 & e & f & e & 0 &  & 0 & 0 & 0 & 0 \\
0 & 0 & e & f & e &  & 0 & 0 & 0 & 0 \\
0 & 0 & 0 & e & f &  & 0 & 0 & 0 & 0
\\
\vdots &&&&&&&&& \vdots \\
0 & 0 & 0 & 0 & 0 &  &  & e & f & e \\
0 & 0 & 0 & 0 & 0 & \dots & 0 & 0 & 0 & 1
\end{bmatrix}, \\
B=\begin{bmatrix}
0 & 0 & 0 & 0 & 0 & \dots & 0 & 0 & 0 & 0 \\
0 & g & 0 & 0 & 0 &  & 0 & 0 & 0 & 0 \\
0 & 0 & g & 0 & 0 &  & 0 & 0 & 0 & 0\\
0 & 0 & 0 & g & 0 &  & 0 & 0 & 0 & 0 \\
\vdots &&&&&&&&& \vdots \\
0 & 0 & 0 & 0 & 0 &  & 0 & g & 0 & 0 \\
0 & 0 & 0 & 0 & 0 &  & 0 & 0 & g & 0 \\
0 & 0 & 0 & 0 & 0 & \dots & 0 & 0 & 0 & 0
\end{bmatrix}
\end{gather*}
and ${}_{m}u_n^{k}=e^{-t_k}\sin x_n$ for $-N\leq k\leq 0$,
$\varphi({}_{m-1}u^{k}, {}_{m}u^{k-N})$ and
${}_{m}u^s$ are $(M+1) \times 1$ column vectors as in \eqref{20}.
Hence, we have the second order difference equation with respect to
$k$ with matrix coefficients. From \eqref{23} it follows that
\begin{equation}
\begin{gathered}
{}_{m}u^{k+1}=-A^{-1}(B{}_{m}u^{k}-C{}_{m}u^{k-1}+A^{-1}R
\varphi^{k}({}_{m-1}u^{k},{}_{m}u^{k-N})), \\
Nl+1\leq k\leq (l+1)N-1,\quad l=0,1,\dots , \\
{}_{m}u^{k}=\{ \sin x_n\}_{n=0}^{M},\quad
{}_{m}u^{k+1}={}_{m}u^{k}+ e^{-t_k}(\frac{\tau^{2}}{2}
-\tau)\{\sin x_n\} _{n=0}^{M}, \\
-N\leq k\leq 0.
\end{gathered} \label{24}
\end{equation}
In computations for both first and second order of accuracy
difference schemes, the initial guess is chosen as
${}_0u_n^{k}=e^{-t_k}\sin x_n$ and when the maximum errors
between two consecutive results of iterative difference schemes
\eqref{19} and \eqref{22} become less than $10^{-8}$, the iterative
process is terminated.
We give numerical results for different values of $N$ and $M$  and
$u_n^{k}$ represent the numerical solutions of these difference schemes
at $(t_k,x_n)$. Tables  are constructed for $N=M=30,60, 120 $ in
 $t\in [0,1]$, $t\in [1,2]$, $t\in[2,3] $, respectively and the errors are
computed by the formula
\begin{equation*}
E_{M}^{N}=\max_{lN\leq k\leq(l+1)N,l=0,1,\dots ,1\leq n\leq M-1}
| u( t_k,x_n)-u_n^{k}|.
\end{equation*}

As can be seen from tables, these numerical experiments support the
theoretical statements. The number of iterations and maximum errors
are decreasing with the increase of grid points.

\begin{table}[htb]
\caption{Comparison of the errors of different difference schemes
in $t\in [ 0,1]$ ($m$ is the iteration number)}
\label{table1}
\begin{center}
\renewcommand{\arraystretch}{1.2}
\small
\begin{tabular}{|cccc|} \hline
Method & $N=M=30$ & $N=M=60$ & $N=M=120$ \\
 \hline
\text{\eqref{19} for \eqref{18}} & $4.1195\times10^{-3}, m=6$
&  $2.0322\times10^{-3}, m=6$  & $1.0098\times10^{-3}, m=6$ \\
\text{\eqref{22} for \eqref{18}}  & $1.7750\times 10^{-5}, m=5$
& $4.5557\times 10^{-6}, m=4$  &   $1.1532\times 10^{-6}, m=4$\\
\hline
\end{tabular}
\end{center}
\end{table}


\begin{table}[htb]
\caption{ Comparison of the errors of
different difference schemes
in $t\in [ 1,2]$ ($m$ is the iteration number)} \label{table2}
\begin{center}
\renewcommand{\arraystretch}{1.2}
\small
\begin{tabular}{|cccc|}  \hline
Method & $N=M=30$ & $N=M=60$ & $N=M=120$ \\ \hline
\text{\eqref{19} for \eqref{18}}  & $2.3014\times10^{-3}, m=6$
&  $1.1297\times10^{-3}, m=6$  & $5.6051\times10^{-4}, m=2$ \\
\text{\eqref{22} for \eqref{18}}  & $1.7751\times 10^{-5}, m=5$
& $4.5556\times 10^{-6}, m=4$  & $1.1531\times 10^{-6}, m=4$\\
\hline
\end{tabular}
\end{center}
\end{table}

\begin{table}[htb]
\caption{Comparison of the errors of different difference schemes
in $t\in [ 2,3]$ ($m$ is the iteration number)}
\label{table3}
\renewcommand{\arraystretch}{1.2}
\small
\begin{center}
\begin{tabular}{|cccc|}\hline
Method & $N=M=30$ & $N=M=60$ & $N=M=120$ \\ \hline
\text{\eqref{19} for \eqref{18}} & $1.0245\times10^{-3}, m=6$
& $5.0161\times10^{-4}, m=6$  & $2.4864\times10^{-4}, m=6$ \\
\text{\eqref{22} for \eqref{18}} &  $3.6898\times 10^{-6}, m=5$
& $9.4326\times 10^{-7}, m=4$ &  $2.3890\times 10^{-7}, m=4$\\
 \hline
\end{tabular}
\end{center}
\end{table}

In Tables \ref{table1}--\ref{table3}, as we increase values of $M$ and $N$
each time starting from $M=N=30$ by a factor of 2 the errors in the first order
of accuracy difference scheme decrease approximately by a factor of
$1/2$, the errors in the second order of accuracy difference scheme
decrease approximately by a factor of $1/4$. The errors presented in
the tables indicate the stability of the difference schemes and the
accuracy of the results. Thus, the second order of accuracy
difference scheme increases faster than the first order of accuracy
difference scheme.

\subsection*{Acknowledgements}
 This work was financially supported by the Ministry of Education and
Science of the Russian Federation (Agreement number 02.A03.21.0008).

\begin{thebibliography}{99}

\bibitem{10} D. Agirseven;
\emph{Approximate Solutions of delay
parabolic equations with the Dirichlet condition}, Abstract
and Applied Analysis, Article Number 682752, 2012,
(2012), doi 10.1155/2012/682752.

\bibitem{10a} A. Ardito, P. Ricciardi;
\emph{Existence and regularity for linear delay partial differential equations},
Nonlinear Anal., \textbf{4} (1980), 411-414.

\bibitem{11a} A. Arino;
\emph{Delay Differential Equations and Applications,}
Springer, Berlin, (2006) 477-517.

\bibitem{17} A. Ashyralyev;
 \emph{Fractional spaces generated by the positivite differential
and difference operator in a Banach space},
In: Tas, K, Tenreiro Machado, JA,
Baleanu, D, (eds.) Proceedings of
the Conference ``Mathematical Methods and
Engineering", Springer, Netherlands, (2007), 13-22.


\bibitem{4} A. Ashyralyev, D. Agirseven;
\emph{Stability of parabolic equations with
unbounded operators acting on delay terms},
Electronic Journal of Differential Equations \textbf{2014}, No 160
(2014) 1--13.

\bibitem{5} A. Ashyralyev, D. Agirseven;
\emph{On source identification problem for a delay parabolic equation},
Nonlinear Analysis: Modelling and Control, \textbf{19 (3)} (2014) 335--349.

\bibitem{6} A. Ashyralyev, D. Agirseven;
\emph{Stability of delay parabolic difference equations},
Filomat \textbf{28:5} (2014), 995--1006.

\bibitem{7} A. Ashyralyev, D. Agirseven;
 \emph{Well-posedness of delay parabolic equations with unbounded operators
 acting on delay terms}, Boundary Value Problems, \textbf{2014:126} (2014),
doi: 10.1186/1687- 2770-2014-126.

\bibitem{8} A. Ashyralyev, D.Agirseven;
 \emph{Well-posedness of delay parabolic difference equations},
Advances in Difference Equations, \textbf{2014:18} (2014),
doi 10.1186/1687-1847-2014-18

\bibitem{9} A. Ashyralyev, D. Agirseven;
 \emph{On convergence of difference schemes for delay parabolic
equations}, Computers and Mathematics with Applications,
\textbf{66 (7)} (2013),
1232-1244, doi 10.1016/j.camwa.2013.07.018.

\bibitem{10ad} A. Ashyralyev, D. Agirseven, B. Ceylan;
 \emph{Bounded solutions of delay nonlinear evolutionary equations,}
Journal of Computational and Applied
Mathematics: Computational and Mathematical Methods in Science and
Engineering CMMSE-2015, \textbf{318} (2017), 69--78,
doi 10.1016/j.cam.2016.11.046.

\bibitem{17a} A. Ashyralyev, A. Sarsenbi;
 \emph{Well-posedness of an elliptic equation with involution},
Electronic Journal of Differential Equations, \textbf{2015:284}  (2015), 1-8,

\bibitem{3} A. Ashyralyev, P. E. Sobolevskii;
\emph{On the stability of the linear delay differential and difference equations},
Abstract and Applied Analysis, \textbf{6(5)} (2001), 267--297.

\bibitem{111a} S. Bhalekar, J. Patade;
 \emph{Analytic solutions of nonlinear with proportional delays},
Applied and Computational Mathematics, \textbf{15:3}  (2016), 331-345.

\bibitem{21} A. H. Bhrawy,  M. A. Abdelkawy, F. Mallawi;
\emph{An accurate Chebyshev pseudospectral scheme for
multi-dimensional parabolic problems with time delays},
 \textrm{Boundary Value Problems}, \textbf{2015:103} (2015),
doi 10.1186/s13661-015-0364-y.

\bibitem{12a} G. Di Blasio;
\emph{Delay differential equations with unbounded operators on delay terms,}
Nonlinear Analysis-Theory and Applications, \textbf{52:2} (2003), 1-18.

\bibitem{24} M. A. Castro, F. Rodriguez, J. Cabrera, J. A. Martin;
\emph{Difference schemes for time-dependent heat conduction models with delay},
 \textrm{International Journal of Computer Mathematics}, \textbf{91(1)} (2014),
53-61, doi 10.1080/00207160.2013.779371.

\bibitem{19} Z. P. Hao, K. Fan, W. R. Cao, Z. Z. Sun;
\emph{A finite difference scheme for semilinear space-fractional diffusion
equations with time delay},
Applied Mathematics and Computation, \textbf{275} (2016), 238-254.

\bibitem{18} H. R. Henriquez, C. Cuevas,  A. Caicedo;
 \emph{Almost periodic solutions of partial differential equations with delay},
Advances in  Difference Equations, \textbf{2015:46} (2015),
doi 10.1186/s13662-015-0388-8.

\bibitem{22} Z. I. Ismailov, B. O. Guler, P. Ipek;
\emph{Solvable time-delay differential operators for
first order and their spectrums},
Hacettepe Journal of Mathematics and Statistics, \textbf{45(3)} (2016), 755-764.

\bibitem{222a} G. Kurulay, H. Ozbay;
 \emph{Design of first order controllers for a flexible robot arm with time delay},
Applied and Computational Mathematics, \textbf{16:3}  (2017), 48-58.

\bibitem{20} H. Liang;
\emph{Convergence and asymptotic stability of Galerkin methods for linear
 parabolic equations with delays},
Applied Mathematics and Computation, \textbf{264} (2015), 160-178.

\bibitem{1} X. Lu;
 \emph{Combined iterative methods for numerical solutions of parabolic problems
 with time delays}, Appl. Math. Comput., \textbf{89} (1998), 213--224.

\bibitem{23} D. Piriadarshani, T. Sengadir;
\emph{Existence of solutions and semi-discretization for PDE with infinite delay},
Differential Equations \& Applications, \textbf{7(3)} (2015), 313-331,
doi 10.7153/dea-07-18.

\bibitem{11} H. Poorkarimi, J. Wiener;
 \emph{Bounded solutions of nonlinear parabolic equations with time delay},
15th Annual Conference of Applied Mathematics, Univ.
of Central Oklahoma, Electronic
Journal of Differential Equations, Conference 02, (1999), 87-91.

\bibitem{13} H. Poorkarimi, J. Wiener;
\emph{Bounded solutions of non-linear hyperbolic equations with delay},
Proceedings of the VII International Conference on Non-Linear
Analysis, V. Lakshmikantham, Ed.
\textbf{1} (1986), 471-478.

\bibitem{12} H. Poorkarimi, J. Wiener, S. M. Shah;
 \emph{On the exponential growth of solutions to
non-linear hyperbolic equations}, Internat. Joun. Math. Sci.,
\textbf{12} (1989), 539-546.

\bibitem{14} S. M. Shah, H. Poorkarimi, J. Wiener;
 \emph{Bounded solutions of retarded nonlinear hyperbolic equations},
Bull. Allahabad Math. Soc., \textbf{1} (1986), 1-14.

\bibitem{10aa} A. L. Skubachevskii;
\emph{On the problem of attainment of equilibrium for control-system with delay,}
Doklady Akademii Nauk, \textbf{335:2} (1994), 157-160.

\bibitem{8a} P. E. Sobolevskii;
\emph{Difference Methods for the Approximate Solution of Differential Equations,}
Izdat. Voronezh. Gosud. Univ., Voronezh, 1975. (Russian).

\bibitem{3a} V. V. Vlasov, N. A. Rautian;
\emph{Spectral Analysis of Functional Differential Equations,}
Monograph, M.: MAKS Press, (2016) 488p. (Russian).

\bibitem{15} J. Wiener;
 \emph{Generalized Solutions of Functional Differential Equations}, World
Scientific, Singapore, 1993.

\end{thebibliography}

\end{document}

