\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2009(2009), No. 155, pp. 1--7.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu}
\thanks{\copyright 2009 Texas State University - San Marcos.}
\vspace{9mm}}

\begin{document}
\title[\hfilneg EJDE-2009/155\hfil Existence and uniqueness of solutions]
{Existence and uniqueness of solutions to fractional semilinear mixed
Volterra-Fredholm integrodifferential equations with nonlocal conditions}

\author[M. M. Matar\hfil EJDE-2009/155\hfilneg]
{Mohammed M. Matar} 

\address{Mohammed M. Matar \newline
Department of Mathematics, Al-Azhar University of Gaza, P. O. Box
1277, Gaza, Palestine} 
\email{mohammed\_mattar@hotmail.com}

\thanks{Submitted September 12, 2009. Published December 1, 2009.}
\subjclass[2000]{45J05, 26A33, 34A12}
\keywords{Fractional integrodifferential equations;
 mild solution; \hfill\break\indent
nonlocal condition; Banach fixed point}

\begin{abstract}
 In this article we study the fractional semilinear mixed
 Volterra-Fredholm integrodifferential equation
 $$
 \frac{d^{\alpha }x(t)}{dt^{\alpha }} =Ax(t)+f\Big(t,x(t),
 \int_{t_0}^tk(t,s,x(s))ds,\int_{t_0}^{T}h(t,s,x(s))ds\Big) ,
 $$
 where $t\in [t_0,T]$, $t_0\geq 0$, $0<\alpha <1$, and $f$
 is a given function. We prove the existence and uniqueness
 of  solutions to this equation, with a nonlocal condition.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{definition}[theorem]{Definition}
\allowdisplaybreaks

\section{Introduction}

The problem of existence and uniqueness of solution of fractional
differential equations have been considered by many authors;
see for example \cite{Del,Yu,Ng,Bal,Fur,Mat,momani,Lak}).
In particular, fractional differential equations with
nonlocal conditions have been studied by N'Guerekata \cite{Ng},
Balachandran, and Park \cite{Bal}, Furati and Tatar \cite{Fur}, and
by many others. In \cite{momani}, the authors  investigated the existence
for a semilinear fractional differential equation with kernels in the
nonlinear function by using the Banach fixed point theorem.
The nonlocal Cauchy problem is discussed by authors in \cite{Bal}
using the fixed point concepts. Tidke \cite{Tid} studied the
non-fractional mixed Volterra-Fredholm integrodifferential equations
with nonlocal conditions using Leray-Schauder theorem.
Motivated by these works, we study the existence of solutions for
nonlocal fractional semilinear integrodifferential equations in
Banach spaces by using fractional calculus
and a Banach fixed point theorem.

Consider the fractional semilinear integrodifferential equation
\begin{equation}
\begin{gathered}
\frac{d^{\alpha }x(t)}{dt^{\alpha }}=Ax(t)+f(t,x(t),
\int_{t_0}^tk(t,s,x(s))ds,\int_{t_0}^{T}h(t,s,x(s))ds), \\
x(t_0)=x_0\in X.
\end{gathered}   \label{eq1}
\end{equation}
where $t\in J=[t_0,T]$, $t_0\geq 0,0<\alpha <1$, $x\in Y=C(J,X)$ is a
continuous function on $J$ with values in the Banach space $X$ and
$\| x\| _{Y}=\max_{t\in J}\| x(t)\| _X$,
and the nonlinear functions $f:J\times X\times X\times X\to X$,
$k:D\times X\to X$, and $h:D_0\times X\to X$ are
continuous. Here $D=\{ (t,s)\in \mathbb{R}^{2}:t_0\leq s\leq t\leq
T\} $, and $D_0=J\times J$. The operator $\frac{d^{\alpha }}{
dt^{\alpha }}$ denotes the Caputo fractional derivative of order
$\alpha $. For brevity let
\[
Kx(t)=\int_{t_0}^tk(t,s,x(s))ds,\quad
Hx(t)= \int_{t_0}^{T}h(t,s,x(s))ds.
\]
and we use the common norm $\| \cdot \| $.

The paper is organized as follows.
In section 2, some definitions, lemmas,
and assumptions are introduced to be used in the sequel.
Section 3 will involve the main results and proofs of existence
problem of \eqref{eq1}, together with a nonlocal condition.

\section{Preliminaries}

In this section, present some definitions and lemmas to be
used later.

\begin{definition} \label{def1} \rm
A real function $f(x)$, $x>0$, is said to be in the space
$C_{\mu}$, $\mu \in\mathbb{R}$ if there exists a real number
 $p (>\mu)$, such
that $f(x)=x^{p} f_1(x)$, where $f_1 (x) \in{C[0,\infty)}$,
and it is said to be in the space $C_{\mu}^{n}$
if $f^{(n)}\in C_{\mu}$, $n\in\mathbb{N}$.
\end{definition}

\begin{definition} \label{def2} \rm
A function $f\in C_{\mu}$, $\mu\geq-1$ is said to be
fractional integrable of order $\alpha>0$ if
\[
I^{\alpha}f(t)=\frac{1}{\Gamma\left(  \alpha\right)  }
\int_{t_0}^t (t-s)  ^{\alpha-1}f(s)ds<\infty,
\]
where $t_0\geq 0$; and if $\alpha=0$, then $I^{0}f(t)=f(t)$.
\end{definition}

Next, we introduce the Caputo fractional derivative.

\begin{definition} \label{def3} \rm
The fractional derivative in the Caputo sense is defined as
\[
\frac{d^{\alpha}f(t)}{dt^{\alpha}}=I^{1-\alpha}\Big(  \frac{df(t)}
{dt}\Big)  =\frac{1}{\Gamma(1-\alpha)  }
\int_{t_0}^t(t-s)  ^{-\alpha}f'(s)  ds
\]
for $0<\alpha\leq 1$, $t_0 \geq 0$,  $f'\in C_{-1}$.
\end{definition}

The properties of the above operators  can be
found in \cite{Miller} and the general theory of fractional differential
equations can be found in \cite{Podlubny}.

Next we introduce the so-called ``Mild Solution''
 for fractional integrodifferential equation
\eqref{eq1} (see \cite[Definition 1.3]{momani}).

\begin{definition} \label{def4} \rm
A continuous solution $x(t)$ of the integral equation
\begin{equation}
x(t)=T(t-t_0)x_0+\frac{1}{\Gamma(\alpha)}
\int_{t_0}^t(t-s)^{\alpha-1}T(t-s)f(s,x(s),Kx(s),Hx(s))ds
\label{eq3(mild)}
\end{equation}
is called a mild solution of \eqref{eq1}.
\end{definition}

To proceed, we need the following assumptions:

\begin{itemize}
\item[(A1)] $T(\cdot)$ is a $C_0-$semigroup generated by the
operator $A$ on $X$ which satisfies $M=\max_{t\in J}\| T(t)\| $.

\item[(A2)] $f$ is a continuous function and there exist positive
constants $L_1$, $L_2$, and $L$ such that
\[
\| f(t,x_1,y_1,z_1)-f(t,x_2,y_2,z_2)\| \leq
L_1(\| x_1-x_2\| +\| y_1-y_2\|
+\| z_1-z_2\| )
\]
for all $x_1,y_1,z_1,x_2,y_2,z_2\in Y$,
$L_2=\max_{t\in J}\| f(t,0,0,0)\|$, and\\ $L=\max\{L_1,L_2\}$.

\item[(A3)] $k$ is a continuous function and there exist positive
 constants $N_1$, $N_2$, and $N$ such that
\[
\| k(t,s,x_1)-k(t,s,x_2)\| \leq N_1\| x_1-x_2\|
\]
for all $x_1,x_2\in Y$,
$N_2=\max_{(t,s)\in D}\| k(t,s,0)\| $, and $N=\max\{N_1,N_2\}$.

\item[(A4)] $h$ is a continuous function and there exist positive
constants $C_1$, $C_2$, and $C$ such that
\[
\| h(t,s,x_1)-h(t,s,x_2)\| \leq C_1\| x_1-x_2\|
\]
for all $x_1,x_2\in Y$, $C_2=\max_{(t,s)\in D_0}\|h(t,s,0)\| $,
and $C=\max\{C_1,C_2\}$.
\end{itemize}

\section{Existence of solutions}

In this section, we prove the main results on the existence of
solutions  to \eqref{eq1}. Firstly, we obtain the following estimates.

\begin{lemma}  \label{estimates}
If {\rm  (A3), (A4)} are satisfied,
then the estimates
\begin{gather*}
\| Kx(t)\| \leq(t-t_0)(N_1\|x\|+N_2)\\
\| Kx_1(t)-Kx_2(t)\| \leq N_1(t-t_0) \| x_1-x_2\|
\end{gather*}
and
\begin{gather*}
\| Hx(t)\| \leq(T-t_0)(C_1\|x\|+C_2)\\
\| Hx_1(t)-Hx_2(t)\| \leq C_1(T-t_0) \| x_1-x_2\|
\end{gather*}
are satisfied for any $t\in J$, and $x,x_1,x_2\in Y$.
\end{lemma}

\begin{proof}
By  (A3), we have
\begin{align*}
\| Kx(t)\|
& \leq\int_{t_0}^t\|k(t,s,x(s))\| ds \\
& =\int_{t_0}^t\| k(t,s,x(s))-k(t,s,0)+k(t,s,0)\| ds \\
& \leq\int_{t_0}^t\| k(t,s,x(s))-k(t,s,0)\|
ds+\int_{t_0}^t\| k(t,s,0)\| ds \\
& \leq N_1(t-t_0)\| x\| +N_2(t-t_0)\leq
(T-t_0)(N_1\| x\| +N_2).
\end{align*}
On the other hand,
\begin{align*}
\| Kx_1(t)-Kx_2(t)\|
& \leq\int_{t_0}^t\| k(t,s,x_1(s))-k(t,s,x_2(s))\| ds \\
& \leq N_1\int_{t_0}^t\| x_1(s)-x_2(s)\| ds \\
& \leq N_1\left( t-t_0\right) \| x_1-x_2\| .
\end{align*}
Similarly, for the other estimates, we use assumption (A4), to get
\[
\| Hx(t)\| \leq\int_{t_0}^{T}\| h(t,s,x(s))\| ds
 \leq(T-t_0)(C_1\| x\| +C_2)
\]
and
\[
\| Kx_1(t)-Kx_2(t)\| \leq C_1( T-t_0)\| x_1-x_2\| .
\]
\end{proof}

The existence result for \eqref{eq1} and its proof is as follows.

\begin{theorem} \label{existance}
If {\rm (A1)-(A4)} are satisfied, and
\[
q\Gamma(\alpha+1)\geq ML\Big(  1+C(T-t_0)+\frac{N}{\alpha+1}(T-t_0
)\Big)  (T-t_0)^{\alpha},\quad 0<q<1,
\]
then the fractional integrodifferential  equation \eqref{eq1} has a
unique solution.
\end{theorem}

\begin{proof}
We use the Banach contraction principle to prove the existence and
uniqueness of the mild solution to \eqref{eq1}.
Let $B_{r}=\{ x\in Y:\| x\| \leq r\} \subseteq Y$,
where $r\geq (1-q) ^{-1}( M\| x_0\| +q) $, and define
the operator $\Psi$ on the Banach space $Y$ by
\[
\Psi x(t)=T(t-t_0)x_0+\frac{1}{\Gamma(\alpha)}
\int_{t_0}^t(t-s)^{\alpha-1}T(t-s)f(s,x(s),Kx(s),Hx(s))ds.
\]
Firstly, we show that the operator $\Psi$ maps $B_{r}$ into itself. For
this, by using (A1), and triangle inequality, we have
\begin{align*}
&\| \Psi x(t)\| \\
& \leq M\| x_0\| +\frac{1}{\Gamma(\alpha)}\| \int_{t_0}^t(t-s)^{\alpha
 -1}T(t-s)f(s,x(s),Kx(s),Hx(s))ds\| \\
& \leq M\| x_0\| +\frac{M}{\Gamma(\alpha)}
 \int_{t_0}^t(t-s)^{\alpha-1}\| f(s,x(s),Kx(s),Hx(s))\|ds \\
& \leq M\| x_0\|
  +\frac{M}{\Gamma(\alpha)}\int_{t_0}^t(t-s)^{\alpha-1}\|
   f(s,x(s),Kx(s),Hx(s))\\
&\quad -f(s,0,0,0)+f(s,0,0,0)\| ds \\
& \leq M\| x_0\| +\frac{M}{\Gamma(\alpha)}
\int_{t_0}^t(t-s)^{\alpha-1}\|
f(s,x(s),Kx(s),Hx(s))-f(s,0,0,0)\| ds \\
& \quad +\frac{M}{\Gamma(\alpha)}\int_{t_0}^t(t-s)^{\alpha-1}\|
f(s,0,0,0)\| ds.
\end{align*}
Now, if  (A2) is satisfied, then
\begin{align*}
\| \Psi x(t)\|
& \leq M\| x_0\| +\frac{
ML_1}{\Gamma(\alpha)}\int_{t_0}^t(t-s)^{\alpha-1}\left( \|
x(s)\| +\| Kx(s)\| +\| Hx(s)\|
\right) ds \\
&\quad +\frac{ML_2}{\Gamma(\alpha)}\int_{t_0}^t(t-s)^{\alpha-1}ds \\
& \leq M\| x_0\| +\frac{ML_1}{\Gamma(\alpha)}\int
_{t_0}^t(t-s)^{\alpha-1}\| x(s)\| ds+\frac{ML_1}{
\Gamma(\alpha)}\int_{t_0}^t(t-s)^{\alpha-1}\| Kx(s)\| ds
\\
&\quad +\frac{ML_1}{\Gamma(\alpha)}\int_{t_0}^t(t-s)^{\alpha-1}\|
Hx(s)\| ds+\frac{ML_2}{\Gamma(\alpha)}\int_{t_0}^t(t-s)^{
\alpha-1}ds.
\end{align*}
Using Lemma \ref{estimates}, we have
\begin{align*}
&\| \Psi x(t)\| \\
& \leq M\| x_0\| +\frac{
ML_1}{\Gamma(\alpha+1)}(t-t_0)^{\alpha}\| x\| \\
&\quad +\frac{ML_1}{\Gamma(\alpha)}(N_1\| x\|
+N_2)\int_{t_0}^t(t-s)^{\alpha-1}(s-t_0)ds \\
&\quad +\frac{ML_1}{\Gamma(\alpha+1)}(T-t_0)(C_1\| x\|
+C_2)(t-t_0)^{\alpha}+\frac{ML_2}{\Gamma(\alpha+1)}(t-t_0)^{\alpha}
\\
& \leq M\| x_0\| +\frac{ML_1}{\Gamma(\alpha+1)}
(t-t_0)^{\alpha}\| x\| +\frac{ML_1}{\Gamma(\alpha +2)}
(t-t_0)^{\alpha+1}(N_1\| x\| +N_2) \\
&\quad +\frac{ML_1}{\Gamma(\alpha+1)}(T-t_0)(C_1\| x\|
+C_2)(t-t_0)^{\alpha}+\frac{ML_2}{\Gamma(\alpha+1)}(t-t_0)^{\alpha}
\\
& =M\| x_0\| +\frac{ML_1N_2}{\Gamma(\alpha+2)}
(t-t_0)^{\alpha+1}+\frac{ML_1C_2}{\Gamma(\alpha+1)}
(T-t_0)(t-t_0)^{\alpha}+\frac{ML_2}{\Gamma(\alpha+1)}(t-t_0)^{\alpha}
\\
&\quad +\frac{ML_1}{\Gamma(\alpha+1)}(t-t_0)^{\alpha}
\Big( 1+\frac{N_1}{\alpha+1}(t-t_0)+C_1(T-t_0)\Big) \| x\| ,
\end{align*}
if $x\in B_{r}$, we have
\begin{align*}
\| \Psi x(t)\|
& \leq M\| x_0\| +\frac{ML
}{\Gamma(\alpha+1)}\left( 1+\frac{N}{\alpha+1}(T-t_0)+C(T-t_0)\right)
(T-t_0)^{\alpha} \\
&\quad +\frac{MLr}{\Gamma(\alpha+1)}\left( 1+\frac{N}{\alpha+1}
(T-t_0)+C(T-t_0)\right) (T-t_0)^{\alpha} \\
& \leq M\| x_0\| +q+qr\\
& \leq(1-q) r+qr=r.
\end{align*}
Thus $\Psi B_{r}\subset B_{r}$. Next, we prove that $\Psi$ is a
contraction mapping. For this, let $x_1,x_2\in Y$. Applying
 (A1) and (A2), we have
\begin{align*}
&\| \Psi x_1(t)-\Psi x_2(t)\| \\
& =\| \frac {1}{ \Gamma(\alpha)}\int_{t_0}^t(t-s)^{
\alpha-1}T(t-s)f(s,x_1(s),Kx_1(s),Hx_1(s))ds \\
&\quad -\frac{1}{\Gamma(\alpha)}\int_{t_0}^t(t-s)^{\alpha
-1}T(t-s)f(s,x_2(s),Kx_2(s),Hx_2(s))ds\| \\
& \leq\frac{M}{\Gamma(\alpha)}\int_{t_0}^t(t-s)^{\alpha-1}\|
  f(s,x_1(s),Kx_1(s),Hx_1(s))\\
&\quad -f(s,x_2(s),Kx_2(s),Hx_2(s))\| ds \\
& \leq\frac{ML_1}{\Gamma(\alpha)}\Big( \int_{t_0}^t(t-s)^{\alpha
-1}\| x_1(s)-x_2(s)\| ds+\int_{t_0}^t(t-s)^{\alpha
-1}\| Kx_1(s)-Kx_2(s)\| ds \\
& \quad +\int_{t_0}^t(t-s)^{\alpha-1}\|
Hx_1(s)-Hx_2(s)\| ds\Big)
\end{align*}
then using  (A3), (A4) and Lemma \ref{estimates}, one  gets
\begin{align*}
&\| \Psi x_1(t)-\Psi x_2(t)\| \\
& \leq\frac{ML_1}{\Gamma(\alpha)}\| x_1-x_2\| \Big(
\int_{t_0}^t(t-s)^{\alpha-1}ds+N_1\int_{t_0}^t(t-s)^{\alpha-1}
( s-t_0) ds \\
&\quad  +C_1\int_{t_0}^t(t-s)^{\alpha-1}( T-t_0)
ds\Big) \\
& \leq\frac{ML_1}{\Gamma(\alpha)}\Big( \frac{(t-t_0)^{\alpha}}{\alpha }+
\frac{N_1\Gamma(\alpha)(t-t_0)^{\alpha+1}}{\Gamma(\alpha+2)}+\frac {
C_1( T-t_0) (t-t_0)^{\alpha}}{\alpha}\Big) \|x_1-x_2\| \\
& =\frac{ML_1}{\Gamma(\alpha+1)}\Big( 1+C_1( T-t_0) +\frac{
N_1}{\alpha+1}(t-t_0)\Big) (t-t_0)^{\alpha}\|x_1-x_2\| \\
& \leq\frac{ML}{\Gamma(\alpha+1)}\Big( 1+C( T-t_0) +\frac {N}{
\alpha+1}(T-t_0)\Big) (T-t_0)^{\alpha}\| x_1-x_2\|
\\
& \leq q\| x_1-x_2\| .
\end{align*}
Therefore $\Psi$ has a unique fixed point $x=\Psi(x)\in B_{r}$,
which is a solution of (\ref{eq3(mild)}), and hence is a mild
solution of \eqref{eq1}.
\end{proof}

The last result in this article is to prove the existence and
uniqueness of  solutions to \eqref{eq1}, but with nonlocal condition
of the form
\begin{equation}
x(t_0)+g(x)=x_0,  \label{nonlocal}
\end{equation}
where $g:Y\to X$  is a given function that satisfies the
condition
\begin{itemize}
\item[(A5)] $g$ is a continuous function and there exists a positive
constant $G$ such that
\[
\| g(x)-g(y)\| \leq G\| x-y\| ,\quad \text{for }x,y\in Y.
\]
\end{itemize}

\begin{theorem} \label{thm3}
If {\rm (A1)-(A5)} are satisfied, and
\[
q\geq M\Big(  G+\frac{L}{\Gamma(\alpha+1)}\Big(
1+C(T-t_0)+\frac {N}{\alpha+1}(T-t_0)\Big)
(T-t_0)^{\alpha}\Big) ,\quad 0<q<1,
\]
then the fractional integrodifferential equation \eqref{eq1} with
nonlocal condition \eqref{nonlocal} has a unique solution.
\end{theorem}

\begin{proof}
We want to prove that the operator $\Phi :Y\to Y$ defined by
\begin{equation}
\begin{aligned}
\Phi x(t)&=T(t-t_0)( x_0-g(x)) \\
&\quad +\frac{1}{\Gamma (\alpha )}
\int_{t_0}^t(t-s)^{\alpha -1}T(t-s)f(s,x(s),Kx(s),Hx(s))ds
\end{aligned}\label{mild nonlocal}
\end{equation}
has a fixed point. This fixed point is then a solution of \eqref{eq1}
and (\ref{nonlocal}). For this, choose
$r\geq (1-q) ^{-1}\big(M\big( \| x_0\| +\| g(0)\| \big)+q\big) $.
The proof is similar to the proof of Theorem \ref{existance}
and hence we write it briefly.
Let $x\in B_{r}$, then by assumptions, we have
\begin{align*}
&\| \Phi x(t)\| \\
& \leq M\Big( \| x_0\|+\| g(0)\| \Big)
+\frac{ML}{\Gamma (\alpha +1)}\Big( 1+
\frac{N}{\alpha +1}(T-t_0)+C(T-t_0)\Big) (T-t_0)^{\alpha } \\
&\quad +M\Big( G+\frac{L}{\Gamma (\alpha +1)}\Big( 1+C(T-t_0)+\frac{N}{\alpha
+1}(T-t_0)\Big) (T-t_0)^{\alpha }\Big) r \\
& \leq M\big(\| x_0\| +\| g(0)\|\big) +q+qr\\
&\leq (1-q) r+qr=r.
\end{align*}
Thus $\Phi B_{r}\subset B_{r}$. Next, we prove that $\Phi $ is a
contraction. For this, let $x_1,x_2\in Y$, one can show that
\begin{align*}
&\| \Phi x_1(t)-\Phi x_2(t)\| \\
& \leq MG\| x_1-x_2\| +\frac{ML_1}{\Gamma (\alpha )}\|
x_1-x_2\| \int_{t_0}^t(t-s)^{\alpha -1}ds \\
&\quad +\frac{ML_1N_1}{\Gamma (\alpha )}\| x_1-x_2\|
\int_{t_0}^t(t-s)^{\alpha -1}(s-t_0) ds \\
&\quad +\frac{ML_1C_1}{\Gamma (\alpha )}\| x_1-x_2\|
\int_{t_0}^t(t-s)^{\alpha -1}(T-t_0) ds \\
& \leq MG\| x_1-x_2\|
 +\frac{ML_1}{\Gamma (\alpha )}\Big( \frac{(t-t_0)^{\alpha }}{\alpha }+
\frac{N_1\Gamma (\alpha )(t-t_0)^{\alpha +1}}{\Gamma (\alpha +2)}\\
&\quad +\frac{C_1(T-t_0) (t-t_0)^{\alpha }}{\alpha }\Big) \| x_1-x_2\| \\
& \leq M\Big( G+\frac{L}{\Gamma (\alpha +1)}\Big( 1+C(T-t_0)
+\frac{N}{\alpha +1}(T-t_0)\Big) (T-t_0)^{\alpha }\Big) \|x_1-x_2\| \\
& \leq q\| x_1-x_2\| .
\end{align*}
Therefore $\Phi $ has a unique fixed point $x=\Phi (x)\in B_{r}$,
which is a solution of (\ref{mild nonlocal}), and hence is a mild
solution of \eqref{eq1} with condition  (\ref{nonlocal}).
\end{proof}

\subsection*{Acknowledgements}
The author wishes to express his sincere gratitude to the anonymous 
referees for their help with this paper.

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\end{document}
