\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2018 (2018), No. 19, pp. 1--20.\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-2018/19\hfil Integral equations of product type]
{Solvability of nonlinear integral equations of product type}

\author[B. Boulfoul, A. Bellour, S. Djebali \hfil EJDE-2018/19\hfilneg]
{Bilal Boulfoul, Azzeddine Bellour, Smail Djebali}

\address{Bilal Boulfoul \newline
Department of Mathematics, ESSA, Algiers, Algeria. \newline
Laboratory of Fixed Point Theory and Applications,
ENS, Kouba-Algiers, Algeria}
\email{bilal\_maths@hotmail.com}

\address{Azzeddine Bellour \newline
Department of Mathematics,
 ENS Constantine, Algeria}
\email{bellourazze123@yahoo.com}

\address{Smail Djebali \newline
Department of Mathematics,
faculty of Sciences,
Al Imam Mohammad Ibn Saud Islamic University (IMSIU),
P.O. Box 90950, Riyadh 11623, Saudi Arabia.\newline
Laboratory of Fixed Point Theory and Applications,
ENS, Kouba-Algiers, Algeria}
\email{djebali@hotmail.com}

\dedicatory{Communicated by Mokhtar Kirane}

\thanks{Submitted July 21, 2017. Published January 15, 2018.}
\subjclass[2010]{45D05, 45G10, 47H08, 47H09, 47H10, 47H30}
\keywords{Product integral equation; measure of weak noncompactness;
\hfill\break\indent  strict $\gamma$-contraction; 
Krasnoselskii's fixed point theorem; Carath\'eodory's conditions; 
\hfill\break\indent $(ws)$-compact; integrable solution;
absolutely continuous solution}

\begin{abstract}
 This article concerns nonlinear functional integral equations  of
 product type. The first two equations set on a the positive half-axis
 encompass different classes of nonlinear integral equations and may
 involve the  product of finitely many integral functions.
 The existence of integrable solutions is based on improved versions of
 Krasnoselskii's fixed point theorem combined with techniques of measure
 of weak noncompactness and  some elements from functional analysis.
 The third one is an integro-differential equation set on a bounded
 interval, for which the existence of absolutely continuous solutions
 is provided.  Examples show the applicability of our results.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{remark}[theorem]{Remark}
\newtheorem{definition}[theorem]{Definition}
\newtheorem{example}[theorem]{Example}
\allowdisplaybreaks

\section{Introduction}

Nonlinear integral equations appear in several mathematical problems modeling 
nonlinear phenomena. As special cases, integral equations of product type arise, 
e.g., in the study of the spread of an infectious
disease that does not induce permanent immunity (see, e.g., \cite{1,3,4,5,6} 
and references therein). For instance, Gripenberg \cite{4} studied the 
existence of periodic solutions to the following integral equation of product type:
\begin{equation*}\label{Gr1}
x(t)=k\Big(P-\int^{t}_{-\infty}A(t-s)x(s)ds\Big)
\Big(\int^{t}_{-\infty}a(t-s)x(s)ds\Big),\quad t\in\mathbb{R}.
\end{equation*}
This equation is related to models of disease spread that does not induce
permanent immunity and the function $x$ stands for the infection rate, i.e.,
the rate at which individuals susceptible to catch the disease become infected. Then
$\int^{t}_{-\infty}a(t-s)x(s)ds$ is approximately proportional to the total 
infectivity if the average infectivity of an individual infected at time $s$ 
is proportional to $a(t - s)$ at time $t>s$. $P$ is the size of population and
 $P-\int^{t}_{-\infty}A(t-s)x(s)ds$ is approximately the number of susceptibles
 provided that the cumulative probability for the loss of immunity of an 
individual infected at time $s$ is $1-A(t-s)$ (see \cite{4, 5}).

Gripenberg \cite{5} also studied the existence and the uniqueness of a 
bounded, continuous, and nonnegative solution to the 
following integral equation of product type:
\begin{equation}\label{Gripenberg1}
x(t)=k\Big( p(t)+\int^{t}_0A(t-s)x(s)ds\Big)
\Big(q(t)+\int^{t}_0B(t-s)x(s)ds\Big),
\end{equation}
for $t>0$,
under appropriate assumptions on functions $A$ and $B$. The functions $p, q$ 
are related to the past-time infection. Gripenberg also
obtained sufficient conditions that guarantee the convergence of the 
solution as $t\to \infty$.

 Pachpatte \cite{11} provided a new integral inequality that he used to
 study the boundedness, asymptotic
behavior, and growth of solutions of equation \eqref{Gripenberg1}.

Abdeldaim \cite{2}, and Li  et al.\ \cite{8} generalized Pachpatte's
inequality to some integral inequalities in order to study the boundedness
and the asymptotic behavior of continuous solutions to equation \eqref{Gripenberg1}.

Olaru \cite{7} generalized \eqref{Gripenberg1} and showed the existence 
and uniqueness of a continuous solution to the
following integral equation:
\begin{equation*}
x(t)=\prod_{i=1}^{m}A_i(x)(t),\quad a<t<b,
\end{equation*}
where $A_i(x)(t)=g_i(t)+\int^{t}_{a}K_i(t,s,x(s))ds$, $t\in [a,b]$, and
$K_i$ is continuous Lipschitzian for $i=1,\ldots,m$.

Later Olaru \cite{Olaru1} generalized \eqref{Gripenberg1} by studying 
the existence of a continuous solution to the  integral equation
\begin{equation}\label{Olaru2}
x(t)=\Big(g_1(t)+\int^{t}_0K_1(t,s,x(s))ds\Big)
\Big(g_2(t)+\int^{t}_0K_2(t,s,x(s))ds\Big),
\end{equation}
for $t>0$.
He employed the weakly Picard technique operators in a gauge space.

Finally we mention Bellour  et al.\ \cite{Bellour} who studied the existence 
of an integrable solution to the following integral equation on the interval $[0,1]$,
\begin{equation}\label{blr}
\begin{split}
x(t)&=u(t,x(t))+\Big(p(t)+\int^{t}_0k_1(t,s)f_1(s,x(s))ds\Big)\\
&\quad\times \Big(q(t)+\int^{t}_0k_2(t,s)f_2(s,x(s))ds\Big).
\end{split}
\end{equation}
In this paper, we  consider the more general nonlinear integral equation
\begin{equation} \label{eq1}
x(t)=f(t,x(t))+f_1\Big(t,\int_0^{t}v_1(t,s,x(s))ds\Big) 
f_2\Big(t,\int_0^{t}v_2(t,s,x(s))ds\Big),
\end{equation}
for $t>0$.
This equation encompasses many important integral and functional equations 
that arise in nonlinear analysis and its applications, in particular 
integral equations \eqref{Gripenberg1}, \eqref{Olaru2}, and \eqref{blr} 
(see also \cite{DS,LTZ} for some other special cases).
When considering continuous solutions, we refer to \cite{BD} 
and some references therein.

However, many models of the spread of infectious diseases include data functions,
 which are discontinuous. For this reason, we devote our investigations
 to extend the theory developed for \eqref{Gripenberg1} and \eqref{Olaru2} 
to discuss the existence of a solution to  \eqref{eq1} in the
space of integrable real functions on $\mathbb{R}_+$ when $f_1, f_2$ obey 
linear growths in the second argument, which ensures continuity of the 
superposition operators. The product term involves two nonlinear operators 
acting from $L^1$ to $L^1$ and to $L^\infty$, respectively. 
An example is included to illustrate the applicability of our first 
existence result. This is the content of Section 3.

Section 4 is devoted to a generalization of equation \eqref{eq1} to $m$ 
product terms ($m\ge2$), each transforming $L^1$ into $L^{p_i}$ with 
conjugate exponents $p_i>1$ ($1\le i\le m$), which we call $(L^p,L^q)$ 
product integrals: 
$$
x(t)=f(t,x(t))+\prod_{i=1}^{m}f_i\Big(t,\int_0^{t}v_i(t,s,x(s))ds\Big),\quad t>0.
$$
Theorem \ref{THM2} providing existence of integrable solution is proved via a
 fixed point argument.

The main tools used in our considerations rely on conjunction of some techniques 
of measures of noncompactness together with compactness criteria and an improved 
version of Krasnosel'skii fixed point theorem proved in \cite{MA}.

The third nonlinear integral equation discussed in this work is also of product 
type and is set a bounded interval $[a,b]$:
$$
x(t)=x_0+\int_0^{t}f(s,x(s))ds+\int_0^{t}\big(\alpha(s)+V_1x(s)\big)
\big(\beta(s)+V_2x(s)\big)ds,\
$$
for $a<t<b$.
The existence of absolutely continuous solutions is obtained in Theorem \ref{THM3}, 
Section 5, extending results from \cite{7}.

Some elements from functional analysis including Dunford-Pettis weak 
compactness criterion and fixed point theorems are collected in next Section 2.

\section{Preliminary results}

We denote by $L^p=L^p(\mathbb{R}_+)$ ($1\le p<\infty$) the Banach space of equivalence 
classes of measurable functions on $\mathbb{R}_+$ such that 
$\int_0^{+\infty}|x(t)|^pdt<\infty$.
It is equipped with the norm 
$\| x\|_p=\big(\int_0^{+\infty}|x(t)|^pdt\big)^{1/p}$.
$L^\infty=L^\infty(\mathbb{R}_+)$ will refer to the Banach space of classes of 
measurable functions that are essentially bounded. 
Its norm is referred to by $\| x\|_\infty=ess\sup_{t\ge0}| x(t)|$.
For the sake of clarity, we will shorten $\| x\|_1$ to $\| x\|$, unless 
specified otherwise.

\begin{theorem}[Generalized H\"{o}lder's theorem \cite{Bre}]\label{holder}
 Assume that $f_1, f_2, \dots, f_n$ are functions such that
\begin{equation}
f_i\in L^{p_i}(\mathbb{R}_+),\quad  1\leq i\leq n \quad \text{with} \quad
\frac{1}{p_1}+\frac{1}{p_2}+\dots +\frac{1}{p_n}=\frac{1}{p} \leq 1.
\end{equation}
Then the product $f=f_1 f_2 \dots f_n$ belongs to $L^p(\mathbb{R}_+)$ and
\begin{equation}
 \| f\|_p \leq \| f_1 \|_{p_1}\| f_2 \|_{p_2}\cdots \| f_n \|_{p_n}
\end{equation}
\end{theorem}

The following result is a kind of converse to the Lebesgue dominated convergence 
theorem.

\begin{theorem}[{\cite[Th\'eor\`{e}me IV.9]{Bre}}]\label{conv ld}
Let $\Omega$ be a measurable set of $\mathbb{R}^n$ and $(f_n)$ a sequence in 
$L^p(\Omega)$. If $f_n\to f$ in $L^p(\Omega)$ with $p\geq 1$, then there 
exists a  subsequence $(f_{n_{k}})$ of $(f_n)$ and a function 
$g\in L^p(\Omega)$ such that:
\begin{itemize}
\item[(1)] $f_{n_{k}}\to f$,  a.e. in $\Omega$,
\item[(2)] $|f_{n_{k}}(t)|\leq g(t)$, for all $k\geq 1$ and a.e $t\in \Omega$.
\end{itemize}
\end{theorem}

Also we need the following result.

\begin{lemma}\label{subseq}
Let $E$ be a topological space and $(x_n)_n$ a sequence in $E$. 
If there exists $x\in E$ such that  any subsequence $(x_{n_{k}})_k$ of 
$(x_n)$ has a new subsequence $(x_{n_{k_{l}}})_l$ such that
$x_{n_{k_{l}}}\to x$ in $E$, as $l\to\infty$. 
Then $x_n\to x$ in $E$, as $n\to\infty$.
\end{lemma}

This is a classical result in topology whose proof is sketched here for 
the sake of completeness 
(see, e.g., \protect{\cite[Exercise 9, Section 3.4, p.80]{Bart}}.

\begin{proof}
On the contrary, there would exist some $\varepsilon_0>0$ such that for all 
$k=1,2,\ldots$, there exists $n_k>k$ such that $| x_{n_k}-x|>\varepsilon$.
Then the sequence $(x_{n_k})$ has no convergent subsequence, a contradiction.
Another way to see this result is to let $\underline{x}=\liminf_{n\to\infty}\,x_n$ 
and $\overline{x}=\limsup_{n\to\infty}\,x_n$. Now consider two subsequences 
$(x_{n_k})$ and $(x_{n_l})$ that converge to $\underline{x}$ and $\overline{x}$ 
respectively. By Assumption these subsequences have subsequences that 
converge to $x$. As a consequence $x=\underline{x}=\overline{x}$.
\end{proof}

\begin{definition} \rm
Let $I \subset \mathbb{R}$ be an interval (bounded or unbounded) and $n\geq 1$
 an integer. A function $f: I\times\mathbb{R}^n\to\mathbb{R}$ satisfies
 Carath\'eodory's conditions if
\begin{itemize}
\item[(i)]  for all $x\in \mathbb{R}^n$, the function 
$t\mapsto f(t,x)$ is Lebesgue measurable on $I$,
\item[(ii)] for almost every (a.e. for short) $t\in I$, the function 
$x\mapsto f(t,x)$ is continuous on $\mathbb{R}^n$.
\end{itemize}
\end{definition}

One of the most important operators in nonlinear analysis is the superposition 
(or Nemytskii) operator generated by a time-space argument function $f$ and 
defined by $(Fx)(t)=f(t,x(t))$, where $x: I\to \mathbb{R}$ is a measurable 
function. It is well known that $Nx$ is also measurable and that if $N$ is 
defined in $L^p$ with values in $L^q$, then it is bounded and continuous. 
Moreover Krasnosel'skii \cite{kras} and Appell and Zabreiko \cite{JAP} 
 proven the following characterization.

\begin{theorem}\label{appell}
Let $I\subset \mathbb{R}$ be an interval (bounded or unbounded) and 
$p, q \in [1,+\infty)$. Then the superposition operator generated by  
Carath\'eodory's function $f$ maps continuously the space $L^p(I)$ into
 $L^q(I)$ if and only if $|f(t,x)|\leq a(t)+ c|x|^{\frac{p}{q}}$, 
for a.e. $t\in I$ and all $x\in\mathbb{R}$, where $c$ is a nonnegative 
constant and $a\in L^q(I,(0,+\infty))$.
\end{theorem}

The Sorza Dragoni Theorem reads as follows.

\begin{theorem}[\cite{scorza}]\label{scrz} 
Let $I\subset \mathbb{R}$ be a bounded interval and let
 $f: I\times \mathbb{R}^n\to \mathbb{R}$ be a function satisfying 
Carath\'eodory's conditions. Then, for each $\varepsilon>0$, there exists 
a closed subset $D_{\varepsilon}\subset I$ such that 
$\operatorname{meas}(I\setminus D_{\varepsilon})<\varepsilon$
 and the restriction of $f$ on the set $D_{\varepsilon}\times\mathbb{R}^n$ 
is continuous.
\end{theorem}

The Dunford-Pettis Theorem provides a useful characterization of weakly compact 
sets of $L^1$.

\begin{theorem}[\cite{Bre}] \label{th pettis} 
A bounded subset $\mathcal{M}$ of the Banach space $L^1(\mathbb{R}_+)$ 
has compact closure in the weak topology if and only if the following two 
conditions are fulfilled: 
\begin{itemize}
\item[(a)] for each $\varepsilon >0$ there exists $\delta >0$ such that
\[
 \int_{D} |x(t)|dt \leq \varepsilon, \quad \forall D \subset \mathbb{R}_+,\;
 \operatorname{meas}(D)\leq \delta,   \; \forall x\in \mathcal{M}
\]

\item[(b)] for each $\varepsilon > 0$ there exists $T >0$ such that
\[
 \int_{T}^{+\infty} |x(t)|dt \leq \varepsilon, \quad  \forall x\in \mathcal{M}.
\]
\end{itemize}
\end{theorem}

Given a Banach space $E$, let $\mathcal{B}(E)$ denote the family of all
 nonempty bounded subsets
of $E$ and $\mathcal{W}(E)$ the subset of $\mathcal{B}(E)$
consisting of all relatively weakly compact subsets of $E$.
$B_{r}$ will refer to the closed ball centered at $0$ with radius $r$ in $E$.
The following concept of the measure of weak noncompactness was first 
introduced by \cite{FSD}; see also \cite{JR}.
It is recalled in its axiomatic form.

\begin{definition} \rm
A function $\mu: \mathcal{B}(E)\to \mathbb{R_{+}}$ is called a measure of
 weak noncompactness if it satisfies the conditions:
\begin{itemize}
\item[(1)] The set $\ker(\mu)=\{M\in \mathcal{B}(E): \mu(M)=0\}$
is nonempty and $\ker(\mu)\subset \mathcal{W}(E)$. 

\item[(2)] $M_1\subset M_2\Rightarrow \mu(M_1)\leq \mu(M_2)$.

\item[(3)] $\mu(co(M))=\mu(M)$, where $co(M)$ is the closed convex hull of
$M$.

\item[(4)] $\mu(\lambda M_1+(1-\lambda)M_2)\leq \lambda \mu(
M_1)+(1-\lambda)\mu(M_2)$, for all $\lambda\in [0,1]$.

\item[(5)] If $(M_n)_{n\geq 1}$ is a sequence of nonempty, weakly
closed subsets of $E$ with $M_1$ bounded and $M_1\supseteq
M_2 \supseteq\ldots\supseteq M_n \supseteq \ldots$ such that
$\lim_{n \to \infty}\mu(M_n)=0$, then
$M_{\infty}:=\cap_{n=1}^{\infty}M_n$ is nonempty.
\end{itemize}
\end{definition}

An important example of measure of weak noncompactness in $L^1(\mathbb{R}_+)$
has been constructed by Banas and Knap   \cite{JR1}
in the following way: for a bounded subset $X$ of $L^1(\mathbb{R}_+)$, let
\begin{equation*}
\mu (X)= c(X)+ d(X),
\end{equation*}
where
\begin{gather*}
c(X)=\lim_{\varepsilon\to 0}\Big(\sup_{x\in X}\Big\{\sup\Big\{
\int_D |x(t)|dt: D\subset\mathbb{R_+},  \operatorname{meas}(D)\leq \varepsilon, \;
 x\in X\Big\}\Big\}\Big),\\
d(X)=\lim_{T \to\infty}\Big(\sup\Big\{\int_T^{+\infty} |x(t)|dt: 
x\in X\Big\}\Big).
\end{gather*}
Notice that the first term is related to integrability condition (a) 
in Theorem \ref{th pettis} while the second one treats the 
equiconvergence at positive infinity, namely condition (b) 
in Theorem \ref{th pettis}. Moreover by Dunford-Pettis theorem \ref{th pettis}, 
the kernel of the measure of weak noncompactness $\mu$ coincides with the 
collection of all weakly relatively compact subsets of the Banach space 
$L^1(\mathbb{R}_+)$.

The following two definitions are needed in Theorems \ref{th ws} and \ref{th ws2}. 
The first one extends the concept of nonlinear contraction.

\begin{definition}\cite{YC} \rm
 Let $(X,d)$ be a metric space. we say that $T: X\to X$ is a
separate contraction if there exist two functions $\varphi,
\psi:\mathbb{R_{+}}\to \mathbb{R_{+}}$ satisfying
\begin{itemize}
\item[(1)] $\psi(0)=0$, $\psi$ is strictly increasing,
\item[(2)] $d(Tx,Ty)\leq \varphi(d(x,y))$, for all $x,y\in X$,
\item[(3)] $\psi(r)+\varphi(r)\leq r$, for $r>0$.
\end{itemize}
\end{definition}

\begin{definition}\cite{Isac} \rm
Let $M$ be a subset of a Banach space $E$. A continuous map $A: M \to E$ 
is said to be $(ws)$-compact if for every weakly convergent sequence 
$(x_n)_n$ in $M$, the sequence $(Ax_n)_n$ has a strongly convergent subsequence 
in $E$.
\end{definition}

Our existence results are based on the following two fixed point theorems. 
The first one is a Krasnosels'kii type theorem under the weak topology.

\begin{theorem}[\cite{MA}]\label{th ws} 
 Let $M$ be a nonempty, bounded, closed, and convex subset of a Banach space $E$. 
Suppose that $F: M \to E$ and $G: M \to E$ satisfy:
 \begin{itemize}
  \item[(i)] $F$ is a separate contraction,
 \item[(ii)] $G$ is $(ws)$-compact,
 \item[(iii)] there exists $\gamma\in[0,1)$ such that $\mu(FS+GS)\leq\gamma\mu(S)$ for all $S\subset M$,
 where $\mu$ is an arbitrary measure of weak noncompactness on $E$,
 \item[(iv)] $F(M)+G(M)\subseteq M$.
 \end{itemize}
 Then there exists $x\in M$ such that $Fx+Gx=x$.
\end{theorem}

This is a generalization of the following result.

\begin{theorem}[\cite{LTZ}] \label{th ws2}
 Let $\mathcal{M}$ be a nonempty bounded closed convex subset of a
 Banach space $E$. Suppose that $A:\mathcal{M}\to
 \mathcal{M}$ satisfies:
 \begin{itemize}
  \item[(i)] $A$ is $(ws)$-compact.
  \item[(ii)] $A(\mathcal{M})$ is relatively weakly compact.
 \end{itemize}
 Then there is a $x\in \mathcal{M}$ such that $Ax=x$.
\end{theorem}

We finish this section with some reminders and properties of absolute 
continuous functions (see, e.g., \cite{Gupta1, Gupta})

\begin{definition} \rm
A function $\theta: [a, b]\to \mathbb{R}$ is absolutely continuous
if for each $\epsilon>0$ there exists $\delta>0$ such that
\begin{eqnarray*}
\sum_{i=1}^{n}|\theta(x'_i)-\theta(x_i)|<\epsilon,
\end{eqnarray*}
for any finite collection $\{(x_i, x'_i): i=1,...,n\}$
of pairwise disjoint intervals in $[a, b]$ with
$\sum_{i=1}^{n}|x'_i-x_i|<\delta$.
\end{definition}

Absolutely continuous functions enjoy important properties.

\begin{theorem}\label{thm 12}
If $\theta$ is absolutely continuous on $[a,b]$, then $\theta$ has a derivative 
defined almost everywhere on $[a,b]$. Moreover
$\theta'(t)$ is integrable on $[a,b]$ and
$$
\theta(t)=\theta(a)+\int_{a}^{t}\theta'(s)ds.
$$
\end{theorem}

\begin{theorem}\label{thm 121}
Let $\theta$ be an integrable function on $[a,b]$, then the function
$$
\vartheta(t)=\vartheta(a)+\int_{a}^{t}\theta(s)ds
$$
is absolutely continuous. Moreover, $\vartheta$ is derivable almost
everywhere on $[a,b]$ and $\vartheta'(t)=\theta(t)$  a.e. $t\in[a,b]$.
\end{theorem}

\section{$(L^1, L^{\infty})$ product type integral equation}

To investigate the existence of integrable solutions to equation \eqref{eq1}, 
we  adopt the following assumptions on the given nonlinearities. 
Notice that by Theorem \ref{appell}, sublinear growth conditions are optimal 
to assure continuity of superposition operators in $L^1$.
\begin{itemize}

\item[(A1)] The function $f: \mathbb{R_+}\times\mathbb{R}\to\mathbb{R}$ satisfies 
Carath\'eodory's conditions and it is a separate contraction with respect the
second variable; moreover there exist a function $\varphi\in L^{1}(\mathbb{R_+})$
 and a positive constant $c$ such that
\begin{equation*}
 |f(t,x)|\leq \varphi(t)+ c|x|,
\end{equation*}
 for a.e, $t\in \mathbb{R_+}$ and  all $x\in \mathbb{R}$.

\item[(A2)]
The functions $ f_i: \mathbb{R_+}\times \mathbb{R} \to \mathbb{R}$ $(i=1, 2)$ 
satisfy Carath\'eodory's conditions and there exist two functions
 $ \varphi_1 \in L^{1}(\mathbb{R_+})$, 
$\varphi_2 \in L^1(\mathbb{R}_+) \cap L^{\infty}(\mathbb{R_+})$, and positive constants 
$c_i$ $(i=1, 2)$  such that
\begin{equation*}
|f_i(t,x)|\leq \varphi_i (t)+c_i|x|,
\end{equation*}
for a.e. $t, s\in \mathbb{R_+}$ and all $x\in \mathbb{R}$.

\item[(A3)] The functions $ v_i: \mathbb{R_+}\times \mathbb{R_+}\times \mathbb{R} 
\to \mathbb{R}$ $(i=1, 2)$ satisfy Carath\'eodory's conditions and there
exist two functions $a_i \in L^{1}(\mathbb{R_+})$ and positive constants $b_i$ 
such that for a.e. $t, s\in \mathbb{R_+}$ and all $x\in \mathbb{R}$
\begin{equation*}
|v_i(t,s,x)|\leq k_i(t,s)(a_i(s)+b_i|x|),
\end{equation*}
where $k_i: \mathbb{R_+}\times \mathbb{R_+} \to \mathbb{R}$ $(i=1, 2)$ 
satisfy Carath\'eodory's conditions.

\item[(A4)] The linear Volterra operator $K_i$ $(i=1, 2)$  transforms the space 
$ L^{1}(\mathbb{R_+})$ into itself and $K_2$  transforms continuously the space 
$L^{1}(\mathbb{R_+})$ into $L^{\infty}(\mathbb{R_+})$, where
\begin{equation*}
K_ix(t)=\int _0^{t}k_i(t,s)x(s)ds, \quad  t>0.
\end{equation*}
Let $\| K_i\|$ be the norm of the bounded linear operator $K_i$ $(i=1, 2)$.
\end{itemize}

\begin{remark} \rm
A sufficient condition for the linear operator
$$
(Kx)(t)=\int _0^{t} k(t,s)x(s)ds, \quad   t\in \mathbb{R_+}
$$
map $L^1$ into itself is that the mapping
$$
s\mapsto \int_s^{+\infty}| k(t,s)| dt
$$
be $L^\infty(\mathbb{R})$ (see \cite[Theorem 2]{sayed}). This implies 
that $K$ is continuous (see \cite{zabkoshlev}).
Clearly a sufficient condition for the linear operator $K$ map $L^1$ into 
$L^\infty$ is that $k\in L^\infty(\mathbb{R}^2)$.
\end{remark}

Observe that solving \eqref{eq1} amounts to finding a fixed point of the operator
\begin{equation}\label{opH}
H:=F+G:  L^1(\mathbb{R}_+)\to L^1(\mathbb{R}_+)
\end{equation}
defined by the right side of equation \eqref{eq1}. 
Furthermore the map $H$ can be written as
\begin{equation}
Hx(t)=Fx(t)+G_1x(t)\times G_2x(t),\quad   t\in \mathbb{R}_+,
\end{equation}
where $F$ is the Nemytskii operator generated by the function $f$, i.e.:
\begin{gather*}
Fx(t)=f(t,x(t)),  \\
G_i x(t)= f_i \Big( t, \int _0^{t}v_i(t,s,x(s))ds\Big), \quad  t>0,\quad (i=1, 2).
\end{gather*}
Let $Gx(t)=G_1x(t)\times G_2x(t)$. $\mathbb{N}=\{1,2,3,\ldots\}$ will denote
 the set of positive integers. To abbreviate notation, we put
\begin{equation}\label{cnsts}
\begin{gathered}
\alpha=b_1 b_2 c_1 c_2 \|K_1\|\|K_2\|,\\
\beta=\|\varphi\|+\big(\|\varphi_1\|+c_1 \|K_1\|\|a_1\|\big)
 \big(\|\varphi_2\|_{\infty}+ c_2\|K_2\|\|a_2\|\big),\\
\delta=c +b_1 c_1\|K_1\|\big(\|\varphi_2\|_{\infty}
+ c_2\|K_2\|\|a_2\|\big)+b_2 c_2\|K_2\|\big(\|\varphi_1\|
+c_1\|K_1\|\|a_1\|\big).
\end{gathered}
\end{equation}
We start our proof with a compactness result crucial for our subsequent arguments.

\begin{lemma}\label{lemma}
Under Assumptions {\rm (A1)--(A4)}, operators $G_1$ and  $G_2$ are $(ws)$-com\-pact 
from  $L^1(\mathbb{R}_+)$ into it self.
\end{lemma}

\begin{proof}
Let $(y_n)_n$ be a weakly convergent sequence in $L^1(\mathbb{R}_+)$. 
Then the set $X=\{ y_n:\; n\in \mathbb{N} \} $ is relatively weakly
compact, hence bounded for the $L^1-$norm. Consequently some positive constant 
$r$ exists and satisfies $\| y_n\|\leq r$, for all integer $n$. 
Let $\varepsilon>0$. Appealing to Dunford-Pettis theorem \ref{th pettis}, 
Assumptions (A2)--(A4) guarantee the existence of some positive constant 
$T$ and $\delta>0$ such that for each closed subset $D\subset\mathbb{R}_+$ with 
$\operatorname{meas}(D)\leq\delta$, we have for all integer $n\in\mathbb{N}$
\begin{equation}\label{T11}
\int_{D} |G_1y_n(t)|dt+\int_{T}^{\infty}|(G_1 y_n)(t)| dt 
 \leq \frac{\varepsilon}{4}.
\end{equation}
Theorem \ref{scrz} ensures the existence of a closed subset $D_{\varepsilon}$
of the interval $[0,T]$ satisfying 
$\operatorname{meas}([0,T]\setminus D_{\varepsilon})\leq \varepsilon$ and 
such that the functions $\varphi_1, k_1, v_1$, and $f_1$ are continuous 
on the sets $D_{\varepsilon}$, 
$D_{\varepsilon}\times [0,T], D_{\varepsilon}\times [0,T]\times\mathbb{R}$, and 
$ D_{\varepsilon}\times\mathbb{R}$  respectively.
\smallskip

\noindent\textbf{Claim 1.} 
 The set $G_1(X)$ is relatively compact in $L^1(\mathbb{R}_+)$. Let
\begin{equation*}
\overline{\varphi_1}=\sup \big\{  \varphi_1(t):  t\in D_{\varepsilon}\big\} , \quad
\overline{k_1}=\sup \big \{ k_1(t,s):  (t,s)\in D_{\varepsilon}\times [0,T]\big\}.
\end{equation*}
Then for  $n\in \mathbb{N}$ and for each $t\in D_{\varepsilon}$, we have
\begin{equation}\label{v1epsilon}
 \begin{aligned}
\Big| \int _0^{t}v_1(t,s,y_n(s))ds\Big|
&\leq \int _0^{t}\Big( k_1(t,s)[a _1(s)+b_1|y_n(s)|\Big) ds \\
&\leq \overline{k_1} \big (\| a_1\|+b_1r\big):= \overline{K_1}(\varepsilon).
 \end{aligned}
\end{equation}
Consequently,
 \begin{equation}
\Big| f_1 \Big( t, \int _0^{t}v_1(t,s,y_n(s))ds\Big)\Big|
 \leq \overline{\varphi_1}+c_1  \overline{k_1} 
\big(\| a_1\|+b_1r\big):=\overline{G_1}(\varepsilon).
\end{equation}
This proves that $G_1(X)$ is equibounded on the subset $D_{\varepsilon}$. 
To show that $G_1(X)$ is  equicontinuous on $D_{\varepsilon}$,
take $t_1$ and $t_2$ in $D_{\varepsilon}$.
Without loss of generality we may assume that $t_1<t_2$. 
Then for each $n\in \mathbb{N}$, we have the estimate
\begin{align*}
&\big| \int_0^{t_2}v_1(t_2,s,y_n(s))ds-\int_0^{t_1}v_1(t_1,s,y_n(s))ds\big| \\
&\leq \int_0^{t_1}| v_1(t_2,s,y_n(s))-v_1(t_1,s,y_n(s))| ds
 +\big|\int_{t_1}^{t_2}v_1(t_2,s,y_n(s))ds\big|\\
&\leq \int_{D_{\varepsilon}}| v_1(t_2,s,y_n(s))- v_1(t_1,s,y_n(s))| ds\\
&\quad +\int_{[0,t_1]\backslash D_{\varepsilon}}| v_1(t_2,s,y_n(s))| ds
 +\int_{[0,t_1]\backslash D_{\varepsilon}}| v_1(t_1,s,y_n(s))| ds\\
&\quad +\overline{k_1}\Big(\int_{t_1}^{t_2}a_1(s)ds+b_1\int_{t_1}^{t_2}|y_n(s)|ds
 \Big)\\
& \leq \operatorname{meas}(D_{\varepsilon}) \, \omega^T(v_1, t_2-t_1)\\
&\quad + 2\overline{k_1}\Big(\int_{[0,t_1]\backslash D_{\varepsilon}}a_1(s)ds
 +b_1\int_{[0,t_1]\backslash D_{\varepsilon}}|y_n(s)|ds\Big)\\
&\quad +\overline{k_1}\Big(\int_{t_1}^{t_2} a_1(s)ds+b_1\int_{t_1}^{t_2}|y_n(s)
 |ds\Big),
\end{align*}
where $w^T(v_1, t_2-t_1)$ refers to the modulus of continuity of $v_1$ on the 
cartesian product $D_{\varepsilon}\times [0,T]\times  [-\overline{K_1}(\varepsilon),
  \overline{K_1}(\varepsilon)]$.
Since a single set of $L^1$ is weakly relatively compact, we deduce from 
Theorem \ref{th pettis} that the terms of the real sequence 
$\big( \int_{t_1}^{t_2}|y_n(s)|ds\big)_n$ as well as $\int_{t_1}^{t_2}a_1(s)ds$ 
are arbitrarily small provided that the number $t_2-t_1$ is small enough. 
In addition the function $f_1$ is uniformly continuous on the product 
$D_{\varepsilon}\times [-\overline{K_1}(\varepsilon), \overline{K_1}(\varepsilon)]$, 
then the set $G_1(X)$ is equicontinuous and equibounded on $D_{\varepsilon}$.  
Ascoli-Arzela Theorem then implies that $G_1(X)$ is relatively strongly compact 
in  $C(D_{\varepsilon})$.
Consequently,  for each integer $p\in \mathbb{N}$ there exists a closed subset 
$D_p$ of $[0,T]$ with $\operatorname{meas}([0,T]\backslash D_{p})\leq \frac{1}{p}$ 
such that $G_1(X)$ is relatively compact in $C(D_p)$.

Moreover there exists $p_0\geq 1$ such that 
$\operatorname{meas}([0,T]\backslash D_{p_0})\leq \delta$.
 Then the sequence $(G_1(y_n))_n$ has a convergent subsequence $(G_1(z_n))_n$ 
with respect to the standard norm of $C(D_{p_0})$. Therefore some integer 
$n_0\in\mathbb{N}$ exists and satisfies that for all $m,\, n\geq n_0$ and for every 
$t\in D_{p_0}$, we have
\begin{equation}\label{T2}
|G_1(z_n)(t)-G_1(z_m)(t)| \leq \frac{\varepsilon}{1+2 \operatorname{meas}(D_{p_0})}.
\end{equation}
From  \eqref{T11} and \eqref{T2}, we deduce the estimates:
\begin{align*}
&\int_0^{\infty}|G_1(z_n)(t)-G_1(z_m)(t)| dt \\
&\leq \int_{D_{p_0}}|G_1(z_n)(t)-G_1(z_m)(t)| dt 
 +\int_{[0,T]\backslash D_{p_0}}|G_1(z_n)(t)|dt\\
&\quad + \int_{[0,T]\backslash D_{p_0}}|G_1(z_m)(t)|dt
 +\int_{T}^{\infty}|G_1(z_n)(t)-G_1(z_m)(t)|dt
\leq \varepsilon.
\end{align*}
Finally, we have  proven that $(G_ 1(z_n))_n$ is a Cauchy sequence in the 
Banach space $L^1(\mathbb{R}_+)$, proving that $G_1(X)$ is strongly relatively 
compact.
\smallskip

\noindent\textbf{Claim 2.} $G_1$  is continuous.
For this aim, consider a sequence $(x_n)_n$ converging to some limit $x$ in $L^1$. 
Theorem \ref{conv ld} yields some subsequence $(x_{n_{k}})_k$ of $(x_n)_n$ 
and an integrable function $g$ such that $x_{n_{k}}\to x$, as $k\to\infty$ 
for a.e. $t\in \mathbb{R}_+$ and $|x_{n_{k}}(t)|\leq g(t)$, for a.e. 
$t\in \mathbb{R}_+$ and all $k\in\mathbb{N}$. Since $v_1$ satisfies
 Carath\'eodory's condition (A3), then $v_1(t,s,x_{n_{k}}(s))\to v_1(t,s,x(s))$, 
as $k\to\infty$ for a.e. $t>0$. According to Assumptions (A2) and (A3), 
we infer that
\begin{equation}
\int_0^{t}|v_1(t,s,x_{n_{k}}(s))| ds 
\leq \int_0^{t} k_1(t,s)\big[a _1(s)+b_1 g(s)\big] ds \in L^1(\mathbb{R}_+).
\end{equation}
Lebesgue's Dominated Convergence Theorem guarantees that
\begin{equation}
\int_{\mathbb{R}_+}\Big| \int_0^{t} v_1(t,s,x_{n_{k}}(s))ds 
- \int_0^{t} v_1(t,s,x(s)) ds\Big| dt \to 0, \quad \text{as } k\to \infty.
\end{equation}
Using Theorem \ref{appell}, we deduce that
\begin{equation}
\| (G_1 x_{n_{k}})-(G_1x)\|\to 0, \quad \text{ as }\;k\to+\infty.
\end{equation}
This together with Lemma \ref{subseq} imply that 
$\big\| (G_1 x_n)- (G_1x)\big\|\to 0$, proving that
$G_1: L^1\to L^1$ is continuous. We conclude that $G_1$ is $(ws)$-compact. 
By an argument similar to the one above, we infer that the set $G_2(X)$ 
is relatively compact in $L^1(\mathbb{R}_+)$ and that $G_2 $ is continuous, 
proving that $G_2: L^1\to L^1$ is $(ws)$-compact.
\end{proof}

\begin{theorem}\label{THM1}
In addition to (A1)-(A4) assume that
\begin{itemize}
\item[(A5)] $\sqrt{\alpha\beta}<\frac{1-\delta}{2}$,
where $\alpha, \beta, \delta$ are defined in \eqref{cnsts}.
\end{itemize}
Then the nonlinear integral equation \eqref{eq1} has at least one solution 
$x\in L^1(\mathbb{R}_+)$.
\end{theorem}

\begin{proof}
We will show that operator $H$ defined by \eqref{opH} satisfies all  conditions 
of Theorem \ref{th ws}. The proof is split into three steps.
\smallskip

\noindent\textbf{Claim 1.}
 There exists $r_0>0$ such that $F(B_{r_0})+G(B_{r_0})\subseteq B_{r_0}$.
To see this, let $x, y \in B_{r}$ for some positive constant $r$ to be 
 determined. We have the estimates:
\begin{equation}\label{step 1}
\begin{aligned}
&\| Fx+Gy\| \\
&\leq \int_{\mathbb{R}_+}|f(t,x(t))|dt\\
&\quad +\int_{\mathbb{R}_+}\Big|f_1\Big(t,\int_0^{t}v_1(t,s,y(s))ds\Big)\Big|
\Big| f_2\Big(t,\int_0^{t}v_2(t,s,y(s))ds\Big)\Big|dt\\
&\leq \|\varphi\|+c\|x\|+ \int_{\mathbb{R}_+}
\Big[\varphi_1(t)+c_1\int_0^{t}\Big(k_1(t,s)[a_1(s)+b_1|y(s)|\Big)ds\Big]\\
&\quad \times\Big[\varphi_2(t)+c_2 \int_0^{t}\Big(k_2(t,s)[a_2(s)+b_2|y(s)|\Big)ds
 \Big]dt\\
&\leq \|\varphi\|+c\| x\|
  +\Big[\|\varphi_1\|+c_1\| K_1\|\Big(\| a_1\|+b_1\| y\|\Big)\Big] \\
&\quad\times \Big[\|\varphi_2\|_{\infty}+c_2\| K_2\|
 \Big(\| a_2\|+b_2\| y\|\Big)\Big] \\
&\leq \|\varphi\|+c r
   +\Big[\|\varphi_1\|+c_1\| K_1\|\Big(\| a_1\|+b_1r\Big)\Big] \\
&\quad\times \Big[\|\varphi_2\|_{\infty}+c_2\| K_2\|\Big(\| a_2\|+b_2r\Big)\Big].
\end{aligned}
\end{equation}
Define the quadratic function $\theta(r)=\alpha r^2 +(\delta-1)r+\beta, \quad r>0$, 
where $\alpha, \beta, \delta$ are defined in \eqref{cnsts}.
According to Assumption $(A5)$, the discriminant 
$\Delta=(\delta-1)^2-4\alpha\beta$ of the equation
\begin{equation}\label{quadra}
\theta(r)=0
\end{equation}
is a positive and $0<\delta<1$. If $0<r_1<r_2$ are the roots of this equation, 
then taking any $r_0\in[r_1,r_2]$ gives $\| Fx+Gy\|\le r_0$, proving our claim.
\smallskip

\noindent\textbf{Claim 2.}
 There exists $\gamma\in[0,1)$ such that $\mu(FX+GX)\leq \gamma \mu(X)$ for all
$X\subseteq B_{r_0}$.
Let $X$ be  a nonempty subset of $B_{r_0}$, $\varepsilon >0$, and  $D$
a nonempty measurable subset of $\mathbb{R}_+$ with 
$\operatorname{meas}(D)\leq \varepsilon$. Then for all $x, y\in X$, 
we have the estimate
\begin{align*}
&\int_D | Fx(t)+Gy(t)| dt\\
& \leq \int_{D}| f(t,x(t))| dt
 + \int_{D} \Big| f_1 \Big( t, \int_ 0^{t}v_1(t,s,y(s))ds\Big)\Big| 
 \Big| f_2 \Big(t, \int_ 0^{t}v_2(t,s,y(s))ds\Big)\Big|dt\\
&\leq \| \varphi\|_{L^1(D)} + c \| x\|_{L^1(D)} 
+\int_{D} \Big[\varphi_1(t) + c_1\int _0^{t}
k_1(t,s)[a _1(s)+b_1|y(s)|]ds\Big] \\
&\times  \Big[ \varphi_2(t)+c_2\int _0^{t}\Big( k_2(t,s)[a_2(s)+b_2|y(s)|\Big) 
ds \Big]dt \\
&\leq \int_D \varphi(t) \, dt+c \| x\|_{L^1(D)} 
 +\Big[\int_D \varphi_1(t)\,dt
 +c_1\| K_1\|\Big(\int_D a_1(t)\, dt+b_1\| y\|_{L^1(D)}\Big)\Big]\\
&\quad  \times [\|\varphi_2\|_{\infty}+c_2\| K_2\| (\| a_2\| + b_2\, r_0)].
\end{align*}
Using  Theorem \ref{th pettis}, we obtain 
\begin{equation}
\lim_{\varepsilon\to 0}\Big(  \sup \Big\{\int_D \xi(t) dt:
 D\subset \mathbb{R_+},  \operatorname{meas}(D)\leq \varepsilon  \Big\}\Big)=0,
\end{equation}
where $\xi$ is any one of the functions $\varphi, \varphi_1, a_1$.
Hence
\begin{equation} \label{cX}
c(FX+GX)\leq \gamma\, c(X),
\end{equation}
where
\begin{equation}\label{gamma}
\gamma:=c+b_1c_1\| K_1\|\left[\|\varphi_2\|_{\infty}
+c_2\| K_2\|\left(\| a_2\|+b_2r_0\right)\right].
\end{equation}
Let us fix an arbitrary positive number $T$. Then for any functions $x, y\in X$, 
we have
\begin{equation}\label{step 2,2}
 \begin{aligned}
& \int_{T}^{\infty}| Fx(t)+Gy(t)| dt \\
&\leq\int_{T}^{\infty}| f(t,x(t))| dt
 +\int_{T}^{\infty}\Big| f_1\Big(t,\int_0^{t}v_1(t,s,y(s))ds\Big)\Big|\\
&\quad \times\Big| f_2\Big(t,\int_0^{t}v_2(t,s,y(s))ds\Big)\Big| dt\\
&\leq \int_{T}^{\infty}\varphi(t)dt+c\int_{T}^{\infty}| x(t)| dt\\
&\quad +\int_{T}^{\infty}\Bigl|\Big(\varphi_1(t)
 +c_1\int_0^{t}(k_1(t,s)[a_1(s)+b_1| y(s)|])ds\Big)\\
&\quad \times\Big(\varphi_2(t)+c_2\int_0^{t}
\big(k_2(t,s)[a_2(s)+b_2(s)| y(s)|]\big)ds\Big)\Bigr| dt\\
&\leq \int_{T}^{\infty}\varphi(t) \, dt+c\int_{T}^{\infty}| x(t)| dt\
+\Big(\int_{T}^{\infty}\varphi_1(t)\, dt
 +c_1\| K_1\|\Big(\int_{T}^{\infty}a_1(t)dt \\
&\quad +b_1\int_{T}^{\infty}|y(t)|dt\Big)\Big)
\Big(\|\varphi_2\|_{\infty}+c_2\| K_2\|(\| a_2\|+b_2r_0)\Big).
\end{aligned}
\end{equation}
A single set of $L^1$ being weakly relatively compact, by applying 
Dunford-Pettis theorem \ref{th pettis} with $\xi$ any one of the functions 
$\varphi(t), \varphi_1(t)$, and $a_1(t)$, we find that
$$
\lim_{T \to\infty} \int_T^{+\infty}\xi(t)dt=0.
$$
Hence
\begin{equation}\label{dX}
d(FX+GX)\leq \gamma\, d(X),\quad \text{for all } X\subset B_{r_0}.
\end{equation}
Finally, adding \eqref{cX} and \eqref{dX} leads to
\begin{equation}\label{muX}
\mu(FX+GX)\leq \gamma\, \mu(X),\quad \text{for all } X\subset B_{r_0}.
\end{equation}
Let
$$
\eta=c+b_1c_1\| K_1\|\|\varphi_2\|_{\infty}+b_1c_1c_2\| K_1\|\| K_2\|\| a_2\|.
$$
Using notation \eqref{cnsts}, the constant $\gamma$ in \eqref{gamma} may be
 rewritten as
$$
\gamma=\eta+\alpha r_0=\eta+\big(1-\delta-\frac{\beta}{r_0}\big),
$$
where $r_0$ is any root of the quadratic equation \eqref{quadra}.
 Since $0<\eta<\delta$, we deduce that $0<\gamma<1$, showing that $F+G$ is 
a strict $\gamma$-set contraction, as claimed.
\smallskip

\noindent\textbf{Claim 3.}
 Operator $G$ is $(ws)$-compact. Let $(x_n)_n$ be a weakly convergent sequence
 in $B_{r_0}$.  From Lemma \ref{lemma}, there exists a subsequence $(x_{n_{k}})_k$ 
and two functions  $g_1, g_2 \in L^1(\mathbb{R}_+)$ such that the sequences 
$(G_1 x_{n_{k}})_k$ and $(G_2 x_{n_{k}})_k$ converge to $g_1$ and $g_2$ 
respectively for the $L^1$ norm. By Theorem \ref{conv ld}, we can find a 
subsequence $(x_{n_{k'}})_{k'}$ of $(x_{n_{k}})_k$  such that 
$(G_2x_{n_{k'}})_{k'}$ converges to $g_2$, as $k'\to\infty$, for a.e. 
$t\in\mathbb{R}_+$. By straightforward computations, we obtain that $g_2$ 
is essentially bounded. Indeed for all integer $k'$ and a.e. $t\in\mathbb{R}_+$ we have
\begin{equation}
\begin{aligned}
\big|(G_2 x_{n_{k'}})(t)\big| 
& \leq \varphi_2(t) + c_2\int _0^{t}\Big( k_2(t,s)[a_2(s)+b_2 |x_{n_{k'}}(s)|\Big) ds\\
& \leq \| \varphi_2 \|_{\infty} + c_2\| K_2\|  \big( \| a_2 \| + b_2 r_0 \big):=M.
\end{aligned}
\end{equation}
Hence $\| G_2 x_{n_{k'}}\|_\infty\le M$. With the triangle and H\"{o}lder's 
inequalities, we deduce the following estimates:
\begin{equation}
\begin{aligned}
&\| G x_{n_{k'}}-g_1g_2 \| \\
& \leq  \|(G_1 x_{n_{k'}})(G_2x_{n_{k'}})-(G_2x_{n_{k'}})g_1 \| 
 + \| (G_2x_{n_{k'}})g_1-g_1 g_2  \|_1\\
& \leq \| G_2 x_{n_{k'}}\|_\infty\| G_1 x_{n_{k'}}-g_1 \| 
  +\| (G_2x_{n_{k'}})g_1-g_1 g_2 \|\\
&\leq M \| G_1 x_{n_{k'}}-g_1 \|
+ \| (G_2x_{n_{k'}})g_1-g_1 g_2  \|.
\end{aligned}
\end{equation}
Since for a.e. $t\in \mathbb{R}_+$, we have
$$
\big|(G_2 x_{n_{k'}})(t)g_1(t)-g_1(t)g_2(t) \big|  
\leq  2M |g_1(t)|\in L^1(\mathbb{R}_+),
$$
and an application of Lebesgue's Dominated Convergence Theorem implies
\begin{equation}
\| (G_2x_{n_{k'}})g_1-g_1 g_2  \|\to 0,\quad \text{as }k'\to + \infty.
\end{equation}
Hence
\begin{equation}
\| G x_{n_{k'}}-g_1g_2 \|\to 0, \quad \text{as } k'\to + \infty.
\end{equation}
Then $G$ is $(ws)$-compact.
Finally Assumption (A1) guarantees that $F$ is a separate contraction 
mapping and Theorem \ref{th ws} completes the proof of Theorem \ref{THM1}.
\end{proof}

\begin{example}\label{Elambda} \rm
Consider the nonlinear integral equation of product type
\begin{equation}\label{exmpl}
\begin{aligned}
x(t)&=\frac{1}{\pi(1+t^2)}+\frac{x^2(t)}{10(1+|x(t)|)}\\
&\quad +\Big(\frac{\exp(-t)}{10(1+t)}
 + \int_0^{t}\frac{1}{ts+\lambda+x^2(s)}\ln(1+x^2(s)) ds \Big)\\
&\quad \times \Big(\frac{\cos(t)}{1+t^2} 
+ \int_0^{t} \exp(-(t+s))\Big(\frac{1}{\pi(1+s^2)}+ \sin(x(s))\Big) ds \Big),
\end{aligned}
\end{equation}
for $t>0$.
Note that  \eqref{exmpl} is a special case of  \eqref{eq1} where we have set
\begin{gather*}
f(t,x)= \frac{1}{\pi(1+t^2)}+\frac{x^2}{10(1+|x|)}, \\
f_1(t,x)=\frac{\exp(-t)}{10(1+t)} +x, \quad
f_2(t,x)= \frac{\cos(t)}{1+t^2} +x, \\
v_1(t,s,x)= \frac{1}{ts+\lambda+x^2}\ln(1+x^2), \\
v_2(t,s,x)= \exp(-(t+s))\Big(\frac{1}{\pi(1+s^2)}+ \sin(x)\Big), \\
k_1(t,s)= \frac{1}{ts+\lambda}, \quad k_2(t,s)= \exp(-(t+s)).
\end{gather*}
By simple calculations, we can check that all of Assumptions (A1)--(A5)
 are fulfilled for every 
$\lambda > \lambda_0 =\big( \frac{5 \pi}{128}\big)^2 
( \sqrt{13}+\sqrt{37})^4$.
As a consequence, by Theorem \ref{THM1}, Equation \eqref{exmpl} has at least
 one integrable solution, for all $\lambda > \lambda_0$.
\end{example}

\section{$(L^p, L^q)$ product type integral equation}

In what follows, let $m\geq 2$ be an integer and  $p_i\in(1,+\infty)$  
($i=1,\dots, m$) satisfy $\frac{1}{p_1}+\dots+\frac{1}{p_m}=1$. 
Consider the  product functional integral equation
\begin{equation}\label{epq}
x(t)=f(t,x(t))+\prod_{i=1}^{m}f_i\Big(t,\int_0^{t}v_i(t,s,x(s))ds\Big),\quad
 t\in\mathbb{R}_+
\end{equation}
and set
\begin{itemize}
\item[(A2')] For $i=1,\dots, m$, the functions 
$ f_i: \mathbb{R_+}\times \mathbb{R} \to \mathbb{R}$ $(i=1,m)$ satisfy 
Carath\'eodory's conditions and there exist a function 
$\varphi_i\in L^{p_i}(\mathbb{R_+})$ and positive constants $c_i$  such that
\begin{equation*}
|f_i(t,x)|\leq\varphi_i(t)+c_i|x|^{1/p_i},\quad \text{ for a.e. }
t, s\in\mathbb{R_+}\text{ and all }x\in\mathbb{R}.
\end{equation*}

\item[(A4')] The linear Volterra operator $K_i$ ($i=1,\ldots, m$)  maps 
continuously the space $L^{1}(\mathbb{R_+})$ into itself.
  $\| K_i\|$ denotes the norm of the linear operator $K_i$.

\item[(A5')]  $c+\prod_{i=1}^{m}c_i (b_i\| K_i\|)^{1/p_i}<1$,
\end{itemize}

\begin{theorem}\label{THM2}
Under Assumptions {\rm (A1), (A2'), (A3), (A4'), (A5')}, 
equation \eqref{epq} has at least one integrable solution on $\mathbb{R}_+$.
\end{theorem}

\begin{proof}
Note that, in view of our  assumptions, Theorem \ref{appell} assures 
that the Nemytskii operator $F$ is continuous from $L^1$ into $L^1$ 
while $G_i$ $(i=1,\dots m)$ is continuous from $L^1$ into $L^{p_i}$ 
($i=1,\ldots, m$). In addition the generalized H\"{o}lder inequality 
implies that the operator 
$G:=\prod_{i=1}^{m}G_i:  L^{1}(\mathbb{R_+})\to L^{1}(\mathbb{R_+})$ 
is well defined and thus the operator $F+G$ is also well defined from 
$L^{1}(\mathbb{R_+})$ into itself. Observe further that for any measurable set $\Omega\subseteq\mathbb{R}_+$ and for $x, y\in L^1(\mathbb{R}_+)$, by H\"{o}lder's inequality \eqref{holder} we have the  estimates:
\begin{equation}\label{omega}
\begin{aligned}
&\| Fx +Gy\|_{L^1(\Omega)} \\
&\leq \int_{\Omega}|f(t,x(t))|dt
+\int_{\Omega}\prod_{i=1}^{m}\Big|f_i\Big(t,\int_0^{t}v_i(t,s,y(s))ds\Big)\Big|dt \, \\
&\leq \|\varphi\|_{L^1(\Omega)}+c\|x\|_{L^1(\Omega)} \\
&\quad +\prod_{i=1}^{m}\Big(\int_{\Omega}\Big|f_i\Big(t,\int_0^{t}v_i(t,s,y(s))ds
 \Big)\Big|^{p_i} dt\Big)^{1/p_i} \\
&\leq \|\varphi\|_{L^1(\Omega)}+c\|x\|_{L^1(\Omega)} \\
&\quad +\prod_{i=1}^{m}\Big(\|\varphi_i\|_{L^{p_i}(\Omega)}
 +\Big( \int_{\Omega}\int_0^{t}\Big(k_i(t,s)[a_i(s)+b_i|y(s)|]\Big)ds\, dt
 \Big)^{1/p_i}\Big) \\
&\leq \|\varphi\|_{L^1(\Omega)}+c\| x\|_{L^1(\Omega)}\\
&\quad +\prod_{i=1}^{m}
\Big[\|\varphi_i\|_{L^{p_i}(\Omega)}+c_i\| K_i\|^{1/p_i}
 \Big(\| a_i\|_{L^1(\Omega)}+b_i\| y\|_{L^1(\Omega)}\Big)^{1/p_i}\Big].
\end{aligned}
\end{equation}
\smallskip

\noindent\textbf{Claim 1.} There exists $r_0>0$ such that 
$F(B_{r_0})+G(B_{r_0})\subseteq B_{r_0}$.  From \eqref{omega},  
 for $x, y \in B_r$ we have
\begin{align*}
&\| Fx +Gy\| \\
&\leq \|\varphi\|+c r  +\prod_{i=1}^{m}
\Big(\|\varphi_i\|_{p_i}+c_i\| K_i\|^{1/p_i}
 \Big(\| a_i\|_{L^1(\mathbb{R}_+)}+b_i r\Big)^{1/p_i}\Big)\\
&= \|\varphi\|+c r +\prod_{i=1}^{m}r^{1/p_i}
 \Big(\frac{\|\varphi_i\|_{p_i}}{r^{1/p_i}}+c_i\| K_i\|^{1/p_i}b_i^{1/p_i}
 \Big(\frac{\| a_i\|}{b_i r}+1\Big)^{1/p_i}\Big)\\
 &= \|\varphi\|+c r 
  + r \prod_{i=1}^{m}\Big(\frac{\|\varphi_i\|_{p_i}}{r^{1/p_i}}
 +c_i\| K_i\|^{1/p_i}b_i^{1/p_i}\Big(\frac{\| a_i\|}{b_i r}+1\Big)^{1/p_i}\Big).
\end{align*}
By Assumption (A5'), we conclude that
\begin{equation*}
 \lim_{r\to+\infty} \|\varphi\|+c\, r
   + r \prod_{i=1}^{m}\Big(\frac{\|\varphi_i\|_{p_i}}{r^{1/p_i}}
+c_i\| K_i\|^{1/p_i}b_i^{1/p_i}\Big(\frac{\| a_i\|}{b_i r}+1\Big)^{1/p_i}\Big)-r
=-\infty.
\end{equation*}
Consequently some positive number $r_0 $ exists and satisfies 
$\| Fx +Gy\|\leq r_0$, for all $x, y \in B_{r_0}$.
\smallskip

\noindent\textbf{Claim 2.}
 There exists $\gamma\in[0,1)$ such that $\mu(FX+GX)\leq\gamma\mu(X)$, 
for all $X\subseteq B_{r_0}$.
Let $X$ be a nonempty subset of $B_{r_0}$, $\varepsilon>0$, and $D$ a 
nonempty measurable subset of $\mathbb{R}_+$ with 
$\operatorname{meas}(D)\leq\varepsilon$. Using \eqref{omega}, 
we obtain for $x, y\in X$
\begin{equation}
\begin{aligned}
\| Fx +Gy\|_{L^1(D)}
&\leq \|\varphi\|_{L^1(D)} +c\| x\|_{L^1(D)}
+\prod_{i=1}^{m}\Big[\|\varphi_i\|_{L^{p_i}(D)} \\
&\quad +c_i\| K_i\|^{1/p_i}\Big(\| a_i\|_{L^1(D)}+b_i\| y\|_{L^1(D)}
\Big)^{1/p_i}\Big].
\end{aligned}
\end{equation}
Letting $\varepsilon \to 0$ and taking into account the fact that the 
single sets $\{\varphi\}, \{ |\varphi_i|^{p_i}\}$, and
 $\{ a_i\} $ are weakly relatively compact in $L^1$, we obtain that
$$
c(FX+GX)\leq\gamma\, c(X),
$$
where
\begin{equation}
\gamma := c + \prod_{i=1}^{m} c_i (b_i\| K_i\|)^{1/p_i}<1.
\end{equation}
Similarly, for each $T>0$, we have
\begin{equation}
\begin{aligned}
&\| Fx  +Gy\|_{L^1([T,+\infty[)} \\
&\leq\|\varphi\|_{L^1([T,+\infty[)} +c\| x\|_{L^1([T,+\infty[)}
+\prod_{i=1}^{m}\Big[\Big(\int_{T}^{+\infty}|\varphi_i|^{p_i}(t) dt\Big)^{1/p_i}\\
&\quad +c_i\| K_i\|^{1/p_i}\Big( \int_{T}^{+\infty}|a_i(t)| dt 
+b_i  \int_{T}^{+\infty}|y(t)| dt \Big)^{1/p_i}\Big].
\end{aligned}
\end{equation}
Letting $T\to+\infty$, we obtain $c(FX+GX)\leq \gamma c(X)$. Hence
$$
\mu(FX+GX)\leq \gamma \, \mu(X),\quad\forall X\subseteq B_{r_0}.
$$
\smallskip

\noindent\textbf{Claim 3.} 
 Operator $G: L^1\to L^1$ is $(ws)$-compact.
To see that $G$ is continuous take a sequence $(x_n)_n$ converging to some 
limit $x\in L^1$. Since $G_i: L^1\to L^{p_i}$ are continuous, 
we conclude that for each $1\leq i\leq m$,
\begin{equation}
\lim _{n \to\infty}\| G_ix_n-G_ix\|_{p_i}=0.
\end{equation}
Moreover, by H\"{o}lder's inequality, we infer that the sequence 
$\big(\prod_{i=2}^{m}G_ix_n\big)_n$ converges to $\prod_{i=2}^{m}G_ix$ 
in $L^r$-norm with $\frac{1}{r}=\frac{1}{p_2}+\frac{1}{p_3}+\dots \frac{1}{p_m}$. 
Hence there exists some $M>0$ with $\Big\|\prod_{i=2}^{m}G_ix_n\Big\|_{r}\leq M$, 
for all integer $n$. As a consequence
\begin{equation}
\| Gx_n-Gx\|\leq M\| G_1x_n-G_1x\|_{p_1}+\| G_1x\|_{p_1}
\big\|\prod_{i=2}^{m}G_ix_n-\prod_{i=2}^{m}G_ix\big\|_{r},
\end{equation}
showing that $G$ is continuous.

Let $(y_n)_n$ be a weakly convergent sequence in $L^1(\mathbb{R}_+)$.
Then the set $X=\{ y_n:\; n\in\mathbb{N}\}$ is relatively weakly compact, 
hence bounded for the $L^1$-norm. As a result, some positive constant 
$r$ exists and satisfies $\| y_n\|\leq r$, for all integer $n$.
 Let $\varepsilon>0$. Since $G(X)$ is weakly relatively compact,
 Dunford-Pettis Theorem \ref{th pettis} guarantees the existence of some 
positive constants $T$ and $\delta$ such that for each closed subset 
$D\subset\mathbb{R}_+$ with $\operatorname{meas}(D)\leq\delta$ and all integer 
$n\in\mathbb{N}$, we have
\begin{equation}\label{T11b}
\int_{D} |Gy_n(t)|dt+\int_{T}^{\infty}|(G y_n)(t)| dt 
 \leq \frac{\varepsilon}{4}.
\end{equation}
Theorem \ref{scrz} implies the existence of a closed subset 
$D_{\varepsilon}$ of the interval $[0,T]$ satisfying 
$\operatorname{meas}([0,T]\setminus D_{\varepsilon})\leq \varepsilon$ 
and such that the functions $\varphi_i, k_i, v_i$, and $f_i$ for 
$(i=1,\dots ,m)$ are continuous on the sets 
$D_{\varepsilon},\; D_{\varepsilon}\times [0,T], D_{\varepsilon}
\times [0,T]\times\mathbb{R}$, and $ D_{\varepsilon}\times\mathbb{R}$  respectively.

We show that the set $G(X)$ is relatively compact in $L^1(\mathbb{R}_+)$. 
From \eqref{v1epsilon} and Assumption
(A2'), we deduce that for each $n\in\mathbb{N}$ and for each $t\in D_{\varepsilon}$,
 we have
\begin{equation}\label{viepsilon}
\begin{aligned}
\big| \int _0^{t}v_i(t,s,y_n(s))ds\big|
&\leq \int _0^{t}\Big( k_i(t,s)[a _i(s)+b_i|y_n(s)|\Big) ds \\
&\leq \overline{k_i} \big (\| a_i\|+b_ir\big):= \overline{K_i}(\varepsilon).
\end{aligned}
\end{equation}
Hence
\begin{equation}
\Big| f_i \Big(t,\int_0^{t}v_i(t,s,y_n(s))ds\Big)\Big|
\leq \overline{\varphi_i}+c_i\big (\overline{K_i}(\varepsilon)\big)^{1/p_i}
:=\overline{G_i}(\varepsilon).
\end{equation}
This proves that for each $i=1,\dots m$, the set $G_i(X)$ is equibounded on 
$D_{\varepsilon}$.
Arguing as in Lemma \ref{lemma}, we can see that the sequences 
$\big(\int_0^{t}v_i(t,s,y_n(s))ds\big)_n$
is equicontinuous on $D_{\varepsilon}$. Since the function
$g:=\prod_{i=1}^{m}f_i: \mathbb{R}^{2m}\to \mathbb{R}$ 
defined by
$$
g(x_1, \dots,x_{2m})=\prod_{i=1}^{m}f_i(x_{2i-1},x_{2i})
$$
is uniformly continuous on the product
 $\prod_{i=1}^{m} D_{\varepsilon}\times[-\overline{K_i}(\varepsilon), 
\overline{K_i}(\varepsilon)]]$, then the set
 $G(X)$ is equicontinuous and equibounded on $D_{\varepsilon}$.  
By Ascoli-Arzela Theorem, the set $G(X)$ is relatively 
strongly compact in $C(D_{\varepsilon})$. Consequently, for each integer
 $p\in\mathbb{N}$, there exists a closed subset $D_p$ of $[0,T]$ with 
$\operatorname{meas}([0,T]\backslash D_{p})\leq \frac{1}{p}$ 
such that $G(X)$ is relatively compact in $C(D_p)$. 
Moreover there exists 
$p_0\geq 1$ such that $\operatorname{meas}([0,T]\backslash D_{p_0})\leq\delta$. 
Therefore the sequence $(G(y_n))_n$ has a subsequence, still denoted 
$(G(y_n))_n$, which converges with respect to the standard norm of $C(D_{p_0})$. 
Then some integer $n_0\in\mathbb{N}$ exists and satisfies that for all $m, n\geq n_0$ 
and for every $t\in D_{p_0}$:
\begin{equation}\label{T2b}
|G(y_n)(t)-G(y_m)(t)|\leq\frac{\varepsilon}{1+2 \operatorname{meas}(D_{p_0})}.
\end{equation}
From  \eqref{T11b} and \eqref{T2b}, we deduce the estimates:
\begin{align*}
&\int_0^{\infty}|G(y_n)(t)-G(y_m)(t)| dt \\
&\leq \int_{D_{p_0}}|G(y_n)(t)-G(y_m)(t)| dt 
 +\int_{[0,T]\backslash D_{p_0}}|G(y_n)(t)|dt\\
&\quad+ \int_{[0,T]\backslash D_{p_0}}|G(y_m)(t)|dt
+\int_{T}^{\infty}|G(y_n)(t)-G(y_m)(t)|dt
\leq \varepsilon.
\end{align*}
We conclude that $(G(y_n))_n$ is a Cauchy sequence in the Banach space 
$L^1(\mathbb{R}_+)$, proving that $G(X)$ is strongly relatively compact. 
Finally $G$ is $(ws)$-compact, which completes the proof.
\end{proof}

\begin{remark} \rm
A comparison between conditions (A5) and (A5') shows that the first one 
derived from an algebraic quadratic equation is optimal for existence of 
solution in case of $(L^1,L^\infty)$ product operators. 
However, the second condition, derived from a first-order inequality is a 
sufficient condition for existence. In this respect, it is to point out that 
Theorem \ref{THM2} does not encompass Theorem \ref{THM1}.
\end{remark}

\section{Absolutely continuous solutions for a nonlinear integro-differential 
equation of product type}

In this section, we study the  nonlinear integro-differential equation of 
product type in the space $AC([a,b])$ $(a<b)$:
\begin{equation} \label{eq1 a}
\begin{gathered}
\begin{aligned}
x'(t)&=f(t,x(t))+\Big(\alpha(t)+\int_0^{t}v_1(t,s,x(s))ds\Big)\\
&\quad\times \Big(\beta(t)+\int_0^{t} v_2(t,s,x(s))ds\Big),
\end{aligned}\\
x(0)=x_0.
\end{gathered}
\end{equation}
Consider the following assumptions:
\begin{itemize}
\item[(A6)] The function $\alpha\in L^{1}([a,b])$ and  $\beta\in L^{\infty}([a,b])$.

\item[(A7)] The function $f: [a,b]\times\mathbb{R} \to \mathbb{R}$ satisfies
 Carath\'eodory's conditions and there exist a function $\phi\in L^{1}([a,b])$
 and a positive constant $c$ such that
\begin{equation*}
|f(t,x)|\leq \phi(t)+ c|x|,
\end{equation*}
for a.e. $t\in [a,b]$ and for all $x\in \mathbb{R}$.

\item[(A8)] The functions $v_1,\; v_2: [a,b]\times[a,b]\times
 \mathbb{R}\to\mathbb{R}$ satisfy Carath\'eodory's conditions and there
 exist a constant $b_i>0$ and two functions $a_i\in L^{1}([a,b])$  $(i=1,2)$ 
such that
\begin{equation*}
|v_i(t,s,x)|\leq k_i(t,s)\big(a_i(s)+b_i|x|\big),
\end{equation*}
for a.e. $t, s\in[a,b]$, where $k_i: [a,b]\times[a,b]\to \mathbb{R}$, $(i=1,2)$
 satisfy Carath\'eodory's conditions.

\item[(A9)] The linear Volterra operator $K_1$  transforms the space 
$L^{1}([a,b])$ into itself and
$K_2$ transforms continuously the space $L^{1}([a,b])$ into $L^{\infty}([a,b])$, 
 where
\begin{equation*}
K_ix(t)=\int_0^{t}k_i(t,s)x(s)ds, \quad   t\in[a,b]\quad (i=1,2).
\end{equation*}
Let $\| K_i\|$ be a norm of the linear operator $K_i$.
\end{itemize}

Solving \eqref{eq1 a} is equivalent to finding a fixed point of the operator 
$Q$ defined on the space $L^1([a,b])$ into itself by
\begin{equation}\label{bilal2}
Qx(t)=x_0+\int_0^{t}f(s,x(s))ds+\int_0^{t}\big( \alpha(s)+V_1x(s)\big)
\big(\beta(s)+V_2x(s)\big)ds,
\end{equation}
where
\begin{equation}
V_ix(s)=\int_0^{s}v_i(s,\tau ,x(\tau))d\tau \quad (i=1,2).
\end{equation}

\begin{theorem}\label{THM3}
Assume  {\rm (A6)-(A9)} and that
\begin{itemize}
\item[(A10)] 
\begin{equation}
\begin{aligned}
& 2 \Big(  b_1 b_2 \|K_1\|\|K_2\| \Big[ |x_0| +\|\phi \|+\big(\|\alpha\|
 +  \|K_1\|\|a_1\|\big)  \big(\overline{\beta} \\
&+ \|K_2\|\|a_2\|\big)\Big]\Big)^{1/2}  
 + c + b_1 \|K_1\|\big(\overline{\beta}+ \|K_2\|\|a_2\|\big) \\
&+ b_2 \|K_2\|\big(\|\alpha\|+ \|K_1\|\|a_1\|\big)\\
&  < \frac{1}{b-a},
\end{aligned}
\end{equation}
where $\overline{\beta}=\operatorname{ess\,sup}_{t\in[a,b]}\beta(t)$.
\end{itemize}
Then the nonlinear integro-differential equation
 \eqref{eq1 a} has a solution $x$ in the space $AC([a, b])$.
\end{theorem}

\begin{proof}
We show that $Q: L^1([a,b])\to L^1([a,b])$ satisfies all hypotheses of 
Theorem \ref{th ws2}.
\smallskip

\noindent\textbf{Claim 1.}
 There exists a ball $B_{r_0}=B(0,r_0)$ in $L^1([a,b])$  such that 
$Q(B_{r_0})\subseteq B_{r_0}$. To see this, pick an arbitrary $x\in B_{r}$ 
for some positive constant $r$ and observe that:
\begin{equation}\label{step 1 a}
\begin{aligned}
&\| Qx\|_{L^1([a,b])} \\
&\leq \int_{a}^{b}|x_0|dt+\int_{a}^{b} \int_{a}^{t}|f(s,x(s))|ds\,dt
 + \int_{a}^{b} \int_{a}^{t}\Big|\alpha(s)+\int_a^{s} v_1(s,\tau,x(\tau))d
 \tau\Big|\\
&\quad \times\Big|\beta(s)+\int_a^{s}v_2(s,\tau,x(\tau))d\tau
 \Big|ds\,dt\\
&\leq (b-a)\left(|x_0|+\|\phi\|+cr\right)
 +(b-a)\big[\overline{\beta}+\| K_2\|\big(\| a_2\|+b_2\, r\big)\big]\\
&\quad \times\big[\|\alpha\|+\| K_1\|\big(\| a_1\|+b_1\, r\big)\big].
\end{aligned}
\end{equation}
Hence $\big\| Qx \big\|_{L^1([a,b])}\le r$ whenever $\varsigma(r)\le0$, where
\begin{align*}
\varsigma(r)
&=b_1b_2 \|K_1\|\|K_2\| \, r^2
+|x_0|+\|\phi\|+\big(\|\alpha\|+\|K_1\|\|a_1\|\big)
\big(\overline{\beta}+\|K_2\|\|a_2\|\big)\\
&+\Big[c + b_1 \|K_1\|\big(\overline{\beta}+ \|K_2\|\|a_2\|\big)+
b_2\|K_2\|\big(\|\alpha\|+\|K_1\|\|a_1\|\big)-\frac{1}{b-a}\Big] r.
\end{align*}
From Assumption (A10), it suffices to choose
$$
0<r_0=\frac{\frac{1}{b-a}-\big[c+b_1\|K_1\|\big(\overline{\beta}+\|K_2\|\|a_2\|\big)+
b_2\|K_2\|\big(\|\alpha\|+\|K_1\|\|a_1\|\big)\big]
+\sqrt{\Delta}}{2 b_1 b_2  \|K_1\|\|K_2\|},
$$
where $\Delta>0$ is the discriminant of the quadratic equation $\varsigma(r)=0$.
 \smallskip

\noindent\textbf{Claim 2.} 
The set  $Q(B_{r_0})$ is relatively weakly compact. Take an arbitrary 
$\varepsilon >0$ and a measurable subset $D$ of $[a,b]$ such that 
$\operatorname{meas}(D)\leq\varepsilon$. For each  $x\in B_{r_0}$, 
arguing as in Claim 1,  we obtain
\begin{align*}
\int_{D}|Qx(t)|dt
&\leq \operatorname{meas}(D)[|x_0|+(\|\phi\|+cr_0)]
 +\operatorname{meas}(D)\big[\overline{\beta}+\| K_2\| \big(\| a_2\|+b_2r_0\big)\big]\\
&\quad \times \big[\|\alpha\|+ \| K_1\|\big(\| a_1\|+b_1 r_0\big)\big].
\end{align*}
 Hence
\begin{equation*}
 \lim_{\varepsilon\to 0}\Big(  \sup \Big\{\int_D |Qx(t)|dt: D\subset [a,b], 
 \operatorname{meas}(D)\leq \varepsilon  \Big\}  \Big)=0.
\end{equation*}
 Consequently $Q( B_{r_0})$ is a weakly relatively compact subset of $L^1[a,b]$.
\smallskip

\noindent\textbf{Claim 3.}
 Operator $Q: L^1[a,b]\to L^1[a,b]$ is $(ws)$-compact.
 In view of assumptions and Theorem \ref{appell}, $Q$ is a continuous operator. 
Consider an arbitrary weakly convergence  sequence $(x_n)$ in $L^1[a,b]$;
 then there exists $r>0$ such that $\| x_n\|\leq r$, for all $n\in\mathbb{N}$.
 Without loss of generality, let $t_1, t_2\in[a,b]$ be such that $t_1< t_2$.
 Then for each integer $n$, we have the estimate
\begin{align*}
&| Qx_n(t_2)- Qx_n(t_1)| \\
&\leq\Big|\int_a^{t_2}f(s,x_n(s))ds-\int_a^{t_1}f(s,x_n(s))ds\Big|\\
&\quad +\Big| \int_a^{t_2}\Big(\alpha(s)
 +  \int _a^{s}v_1(s,\tau ,x_n(\tau))d\tau\Big)
 \Big(\beta(s)+\int_a^{s}v_2(s,\tau ,x_n(\tau))d\tau\Big)ds\\
 &\quad-\int_a^{t_1}\Big(\alpha(s)+\int_a^{s}v_1(s,\tau,x_n(\tau))d\tau\Big)
 \Big(\beta(s)+\int_a^{s}v_2(s,\tau ,x_n(\tau))d\tau\Big)ds\Big|\\
&\leq  \int _{t_1}^{t_2}|f(s,x_n(s))|ds
 +\int_{t_1}^{t_2}\Big|\Big(\alpha(s)+\int_a^{s}v_1(s,\tau,x_n(\tau))d\tau\Big)\\
&\quad \times\Big(\beta(s)+\int_a^{s}v_2(s,\tau,x_n(\tau))d\tau\Big)\Big|ds
\\
 &\leq \int_{t_1}^{t_2}\phi(s)ds+c\int_{t_1}^{t_2}|x_n(s)|ds\\
&\quad +\int_{t_1}^{t_2}\Big[\alpha(s)+\int_a^{s}\Big(k_1(s,r)[a_1(\tau)
+b_1 |x_n(\tau)|\Big)d\tau\Big]\\
&\quad \times\Big[\beta(s)+\int_0^{t}\Big(k_2(s,\tau)[a_2(\tau)
  +b_2|x_n(\tau)|\Big)d\tau\Big]ds\\
&\leq \int_{t_1}^{t_2}\phi(s)ds+c\int_{t_1}^{t_2}|x_n(s)|ds\\
&\quad +\big[\overline{\beta}+\|K_2\,\|\big(\|a_2 \|+b_2 r_0\big)\big]
 \int_{t_1}^{t_2}\big[\alpha(s)+\|K_1\|\big(a_1(s)+ b_1\,|x_n(s)|\big)ds\big].
\end{align*}
Since a single set of $L^1[a,b]$ is weakly relatively compact and from the 
relative weakly compactness of the set $\{  x_n: n\in \mathbb{N}\} $, 
we conclude that the terms
 $| Qx_n(t_2)- Qx_n(t_1)|$ are arbitrarily small provided that the number 
$t_2-t_1$ is small enough. Hence the sequence $(Qx_n)_n$ is equicontinuous 
on $[a,b]$.
 Moreover for each $t\in[a,b]$ and for all $n\in \mathbb{N}$, we have
 \begin{align*}
 |Qx_n(t)|  
&\leq |x_0| + \int_{a}^{t} | f(s,x_n(s))|ds 
+  \int_{a}^{t}  \Big| \alpha(s)+ \int _0^{s} v_1(s,\tau,x_n(\tau))d\tau
\Big| \\
&\quad  \times   \Big| \beta(s)+ \int _a^{s} v_2(s,\tau,x_n(\tau))d\tau \Big|ds \\
&\leq   |x_0| +  \int_{a}^{b} \left(\phi(s) +c\, |x_n(s)|\right) ds \\
&\quad  +   \int_{a}^{b}\Big[ \alpha(s) + \int _a^{s}\Big( k_1(s,r)[a _1(\tau)
 +b_1|x_n(\tau)|\Big) d\tau \Big] \\
&\quad \times  \big[\beta(s) + \int _a^{t}\big( k_2(s,\tau)[a_2(\tau)
 +b_2|x_n(\tau)|\big) d\tau \big]ds  \\
&\leq  |x_0| +  \| \phi\| + c\, r_0
  + \big[ \overline{\beta} +  \| K_2\|  \big( \| a_2 \| + b_2 r_0 \big) \big]\\
 &\quad \times  \big[ \|\alpha \| + \| K_1\|  \big( \| a_1 \| + b_1 r_0 \big) \big].
\end{align*}
This proves that the sequence $\left(Qx_n\right)_n$ is equibounded on $[a,b]$. 
By Ascoli Arzela Theorem, the sequence $\left(Qx_n\right)_n$  has a convergent 
subsequence with respect to the sup-norm. Therefore it is  convergent in 
$L^1[a,b]$. This implies that operator $Q$ is $(ws)$-compact. 
Finally, all conditions Theorem \ref{th ws2} are fulfilled. 
Hence equation \eqref{bilal2} has at lest one solution  $x\in L^1[a,b]$. 
Since the functions $f(\cdot,x(\cdot))$ and 
$(\alpha(\cdot)+V_1x(\cdot)) (\beta(\cdot)+ V_2x(\cdot))$ are integrable on 
$[a,b]$, we infer that the solution $x$ is absolutely continuous on $[a,b]$.
\end{proof}

\subsection*{Acknowledgments} The authors are grateful to
the two referees for their careful reading of the manuscript,
 which led to substantial improvement of this article. 

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