\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
{\em Electronic Journal of Differential Equations},
Vol. 2006(2006), No. 113, pp. 1--8.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu  (login: ftp)}
\thanks{\copyright 2006 Texas State University - San Marcos.}
\vspace{9mm}}

\begin{document}
\title[\hfilneg EJDE-2006/113\hfil Existence of solutions]
{Existence of solutions for $p$-Laplacian
functional dynamic equations on time scales}

\author[C. Song\hfil EJDE-2006/113\hfilneg]
{Changxiu Song}

\address{Changxiu Song \newline
School of Mathematical Sciences, South China Normal University,
Guangzhou 510631, China \newline
School of Applied Mathematics, Guangdong University of Technology,
Guangzhou 510006, China}
\email{scx168@sohu.com}

\date{}
\thanks{Submitted August 28, 2006. Published September 19, 2006.}
\thanks{Supported by grants 10571064 from NNSF of China, and 011471
from NSF of Guangdong.}
\subjclass[2000]{39K10, 34B15}
\keywords{Time scale; boundary value problem; positive solutions;
\hfill\break\indent $p$-Laplacian functional dynamic equations;
 fixed point theorem}

\begin{abstract}
 In this paper, the author studies  boundary-value problems for
 $p$-Laplacian functional dynamic equations  on a time scale.
 By using the fixed point theorem, sufficient conditions are
 established for the existence  of positive solutions.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{definition}[theorem]{Definition}

\section{Introduction}

 Let $\mathbb{T}$ be a closed nonempty subset of
$\mathbb{R}$, and let  subspace have the topology
inherited from the Euclidean topology on $\mathbb{R}$. In some of
the current literature, $\mathbb{T}$ is called a time scale (or
measure chain). For notation, we shall use the convention that,
for each interval of $J$ of $\mathbb{R}$, $J$ will denote time
scales interval, that is, $J:=J\cap \mathbb{T}$.

 In this paper, let $\mathbb{T}$ be a time scale such that
$-r$,  $0$,  $T\in \mathbb{T}$.
 We are concerned with the existence of positive solutions of the
 $p$-Laplacian dynamic equation, on a time scale,
\begin{equation}
\begin{gathered}
  {[\phi_p(x^\triangle(t))]}^\nabla+\lambda a(t)f(x(t),x(\mu(t)))=0 ,\quad
 t\in (0,T),\\
  x_0(t)=\psi(t),\quad  t\in[-r,0],\quad  x(0)-B_0(x^\triangle(0))=0,
\quad   x^\triangle(T)=0,
  \end{gathered} \label{e1.1}
\end{equation}
where  $\lambda>0$ and $\phi_p(u)$ is the $p$-Laplacian operator,
i.e., $\phi_p(u)=|u|^{p-2}u$,   $p>1$,
$(\phi_p)^{-1}(u)=\phi_q(u)$, $\frac{1}{p}+\frac{1}{q}=1$. Also we
assume the following:
\begin{itemize}

\item[(A)] The function $f:(\mathbb{R}^+)^2\to \mathbb{R}^+$ is
continuous;

\item[(B)] the function $a:\mathbb{T}\to \mathbb{R}^+$ is left dense
continuous (i.e., $a\in C_{ld}(\mathbb{T},\mathbb{R}^+))$. Here
$C_{ld}(\mathbb{T},\mathbb{R}^+)$ denotes the set of all left
dense continuous functions from $\mathbb{T}$ to $\mathbb{R}^+$;

\item[(C)] $ \psi:[-r,0]\to\mathbb{R}^+$ is continuous and $r>0$;

\item[(D)] $\mu:[0,T]\to [-r,T]$ is continuous, $\mu(t)\leq t$ for all $t$;

\item[(E)] $B_0:\mathbb{R}\to \mathbb{R}$ is
continuous and satisfies that there are $\beta\geq\delta> 0$ such
that
 $$
\delta s\leq B_0(s)\leq \beta s\mbox{ for }s\in \mathbb{R}^{+}.
$$
\end{itemize}

$p$-Laplacian problems with two-, three-, $m$-point boundary
conditions for ordinary differential equations and finite
difference equations have been studied extensively, for example
see \cite{a3,c1,l1,w2} and references therein. However, there are not
many concerning the $p$-Laplacian problems on time scales,
especially for $p$-Laplacian functional dynamic equations
 on time scales.

 The motivations for the present work stems from  many recent investigations
in \cite{a2,k1,w1} and references therein. Especially,
  Kaufmann and Raffoul \cite{k1} considered a nonlinear functional dynamic equation on a
  time scale and obtained sufficient
  conditions for the existence of positive solutions.
  In this paper, we apply the  fixed point theorem  to obtain at least one
   positive solution of boundary value problem (BVP for short)
  \eqref{e1.1}. We do not need the condition that $f(x_1,x_2)$ is increasing in
  each $x_i$, for $x_i>0,i=1,2$.
  And we claim the condition $\psi\equiv 0$ is not essential in our results.

For convenience, we list the following well-known definitions which
 can be found in \cite{a1,b1,h1} and the references
 therein.

\begin{definition} \rm
For $t<\sup \mathbb{T}$ and $r>\inf \mathbb{T}$, define the forward jump
operator $\sigma$ and the backward jump operator $\rho$:
$$
\sigma(t)=\inf\{\tau\in \mathbb{T}|\tau>t\}\in \mathbb{T},\quad
  \rho(r)=\sup\{\tau\in \mathbb{T}|\tau<r\}\in\mathbb{T}
$$
for all $t, r\in\mathbb{T}$.
 If $\sigma(t)>t$, $t$ is said to be right scattered, and if $\rho(r)<r$,
$r$ is said to be left scattered. If $\sigma(t)=t$, $t$ is said to
be right dense, and if $\rho(r)=r$, $r$ is said to be left dense.
If $\mathbb{T}$ has a right scattered minimum $m$,
define $\mathbb{T}_\kappa=\mathbb{T}-\{ m \}$;
otherwise set $\mathbb{T}_\kappa=\mathbb{T}$. If $\mathbb{T}$ has a left
scattered maximum $M$, define $\mathbb{T}^{\kappa}=\mathbb{T}-\{ M \}$;
otherwise set $\mathbb{T}^{\kappa}=\mathbb{T}$.
\end{definition}

\begin{definition} \rm
For $x:\mathbb{T}\to \mathbb{R}$ and $t\in\mathbb{T}^\kappa$, we define
 the delta derivative of $x(t)$, $x^\triangle(t)$, to be the number
(when it exists), with the property that, for any
$\varepsilon >0$, there is a neighborhood $U$ of $t$ such that
$$
  |[x(\sigma(t))-x(s)]-x^\triangle(t)[\sigma(t)-s]|<\varepsilon|\sigma(t)-s|
$$
for all $s\in U$.
For $x:\mathbb{T}\to\mathbb{R}$ and $t\in\mathbb{T}_\kappa$, we define
the nabla derivative of $x(t)$, $x^\nabla(t)$, to be the number
(when it exists), with the property that, for any $\varepsilon >0$, there
is a neighborhood $V$ of $t$ such that
$$
  |[x(\rho(t))-x(s)]-x^\nabla(t)[\rho(t)-s]|<\varepsilon|\rho(t)-s|
$$
for all $s\in V$.
 If $\mathbb{T}=\mathbb{R}$, then $x^\triangle(t)=x^\nabla(t)=x'(t)$.
If $\mathbb{T}=\mathbb{Z}$, then $x^\triangle(t)=x(t+1)-x(t)$
is forward difference operator while $x^\nabla(t)=x(t)-x(t-1)$ is
the backward difference operator.
\end{definition}

\begin{definition} \rm
If $F^\triangle(t)=f(t)$, then we define the delta integral by
$\int_a^t f(s)\triangle s=F(t)-F(a)$. If $\Phi^\nabla(t)=f(t)$,
then we define the nabla integral by
$\int_a^t f(s)\nabla s=\Phi(t)-\Phi(a)$.
\end{definition}

 In the following, we provide the definition of cones in Banach spaces,
and we then    state the fixed-point theorem for a cone preserving operator.

\begin{definition} \rm
Let $X$ be a real Banach space. A nonempty, closed, convex set
$K\in X$ is called a cone, if it satisfies the following
two conditions:
\begin{itemize}
\item[(i)]  $ x\in K$, $\lambda\geq 0$ implies $\lambda x\in K$;
\item[(ii)] $ x$  and $-x$ in $K$ implies $x=0$.
\end{itemize}
\end{definition}

Every cone $K\subset X$ induces an ordering in $X$ given by
$x\leq y$  if and only if $y-x\in K$.

\begin{lemma}[\cite{k2}] \label{lem1.1}
   Assume that $X$ is a $Banach$ space and $K\subset X$ is a cone in $X$;
$\Omega_1$, $\Omega_2$ are open subsets of $X$, and
      $0 \in\overline\Omega_1\subset    \Omega_2$.
Furthermore, let $F:K\cap(\overline\Omega_2\setminus \Omega_1)\to K$
   be a completely continuous operator satisfying
   one of the following conditions:
   \begin{itemize}
 \item[(i)]  $ \|F(x)\|\leq\|x\|$ for all $x\in K\cap\partial \Omega_1$,
  $\|F(x)\|\geq\|x\|$ for all $x\in K\cap\partial \Omega_2$;

\item[(i)]   $ \|F(x)\|\leq\|x\|$  for all $x\in K\cap\partial \Omega_2$,
$\|F(x)\|\geq\|x\|$ for all $x\in K\cap\partial \Omega_1$.

\end{itemize}
   Then there is a fixed point of $F$ in
$K\cap(\overline\Omega_2\setminus\Omega_1)$.
 \end{lemma}


\section{Main results}

We note that $x(t)$ is a solution of  \eqref{e1.1} if and only if
\begin{equation}
  x(t)=\begin{cases}
  B_0 \Big(\phi_q\Big(\int_{0}^{T}\lambda a(r)f(x(r),x(\mu(r)))\nabla r
\Big)\Big) \\
  + \int_{0}^{t}\phi_q\Big(\int_{s}^{T}\lambda a(r)f(x(r),x(\mu(r)))\nabla r
\Big)\triangle s,  & t\in [0,T],\\[4pt]
 \psi(t), & t\in[-r,0].
  \end{cases} \label{e2.1}
\end{equation}
 Let $X=C_{ld}([0,T],\mathbb{R})$ be endowed with the norm
$\|x\|=\max_{t\in [0,T]}|x(t)|$ and
$$
K=\{x\in X: x(t)\geq \frac{\delta}{T+\beta}\|x\|\mbox{ for }t\in [0,T]\}.
$$
Clearly, $X$ is a Banach space with the norm $\|x\|$ and $K$ is a cone
in $X$. For each $x\in X$, extend $x(t)$
to $[-r,T]$ with $x(t)=\psi (t)$ for $t\in [-r,0]$.

For $t\in [0,T]$, define $F : P\to X$ as
\begin{equation}
\begin{aligned}
 F x(t)&= B_0\Big(\phi_q\Big(\int_{0}^{T}\lambda a(r)f(x(r),x(\mu(r)))
\nabla r\Big)\Big)\\
 &\quad  + \int_{0}^{t}\phi_q\Big(\int_{s}^{T}
               \lambda a(r)f(x(r),x(\mu(r)))\nabla r\Big)\triangle s,
\end{aligned} \label{e2.2}
\end{equation}
  We seek a fixed point, $x_1$, of $F$ in the cone $P$. Define
$$
  x(t)=\begin{cases}
  x_1(t), & t\in [0,T],\\
  \psi(t),& t\in[-r,0].
\end{cases}
$$
Then $x(t)$ denotes a positive solution of \eqref{e1.1}.
 It follows from \eqref{e2.2} that
\begin{equation}
\begin{aligned}
\|F x\|&=(F x)(T)\\
       &= B_0 \Big(\phi_q\Big(\int_{0}^{T}\lambda a(r)f(x(r),x(\mu(r)))\nabla
          r\Big)\Big)\\
     &\quad + \int_{0}^{T}\phi_q\Big(\int_{s}^{T} \lambda
              a(r)f(x(r),x(\mu(r)))\nabla r\Big)\triangle s\\
     &\leq  (T+\beta)\lambda^{q-1}\phi_q\Big(\int_{0}^{T}
                a(r)f(x(r),x(\mu(r)))\Big).
\end{aligned}\label{e2.3}
\end{equation}
 From \eqref{e2.2} and \eqref{e2.3}, we have the following lemma.

\begin{lemma} \label{lem2.1}
Let $F$ be defined by \eqref{e2.2}. If $x\in K$, then
\begin{itemize}
\item[(i)]  $F (K) \subset K$.
\item[(ii)] $F :K\to K$ is completely continuous.
\item[(iii)] $ x(t)\geq \frac{\delta}{T+\beta}\|x\|$,   $t\in[0,T]$.
\end{itemize}
\end{lemma}

 We need to define subsets of $[0,T]$ with respect
to the delay $\mu$. Set
 $$
   Y_1:=\{t\in[0,T]: \mu (t)<0\};\quad   Y_2:=\{t\in[0,T]: \mu(t)\geq 0\}.
 $$
Throughout this paper, we assume $Y_1$ is nonempty and
$\int_{Y_1}a(r)\nabla r>0$.
Let
\begin{gather*}
  l=:\frac{\lambda^{1-q}}{(T+\beta)\phi_q \big(\int_{0}^{T}a(r)\nabla r\big)},
\quad
 m=:\frac{(T+\beta)\lambda^{1-q}}{\delta^2\phi_q
\big(\int_{Y_1}a(r)\nabla r\big)},\\
 \widetilde{l}=:\frac{1}{(T+\beta)\phi_q \big(\int_{0}^{T}a(r)\nabla r\big)}.
\end{gather*}
 In additions to Conditions (A)--(E), we
shall also consider the following:
\begin{itemize}
\item[(H1)] $\lim_{x\to 0^+}\frac{f(x,\psi(s))}{x^{p-1}}<l^{p-1}$,
uniformly in $s\in [-r,0]$;

\item[(H2)]
$\lim_{x_1\to 0^+;x_2\to 0^+}\frac{f(x_1,x_2)}{\max\{x_1^{p-1},x_2^{p-1}\}}
<l^{p-1}$;

\item[(H3)] $\lim_{x\to\infty}\frac{f(x,\psi(s))}{x^{p-1}}>m^{p-1}$,
uniformly in $s\in [-r,0]$.
\end{itemize}

 \begin{theorem} \label{thm2.1}
    Assume Conditions (A)--(E), (H1)--(H3) are satisfied.
      Then, for each $0<\lambda<\infty$, BVP \eqref{e1.1} has at
least a positive solution.
 \end{theorem}

\begin{proof}  Apply Condition (H1) and set $\varepsilon_1>0$
  such that if $0<x\leq \varepsilon_1$, then
$$
    f(x,\psi(s))< (lx)^{p-1},\quad \mbox {for each }  s\in [-r,0].
 $$
  Apply Condition (H2) and set $\varepsilon_2>0$ such that
  if $0<x_1\leq \varepsilon_2,0<x_2\leq \varepsilon_2$, then
    $$
      f(x_1,x_2)<\max\{x_1^{p-1},x_2^{p-1}\}l^{p-1}.
    $$
Set $\rho_1=\min\{\varepsilon_1,\varepsilon_2\}$.
Then, for any $x\in K$ with $\|x\|=\rho_1$,  from \eqref{e2.3}, we  have
\begin{equation}
\begin{aligned}
&\|F x\|\\
&\leq (T+\beta)\lambda^{q-1}\phi_q\Big(\int_{0}^{T}
                a(r)f(x(r),x(\mu(r)))\nabla r\Big)\\
&=(T+\beta)\lambda^{q-1}\Big[\phi_q\Big(\int_{Y_1}
                a(r)f(x(r),\psi(\mu(r)))\nabla r+\int_{Y_2}
                a(r)f(x(r),x(\mu(r)))\nabla r\Big)\Big]\\
&\leq l(T+\beta)\lambda^{q-1}\max_{t\in [0,T]}\{x(t)\}\phi_q
\Big(\int_{0}^{T}a(r)\nabla r\Big)\\
&= l(T+\beta)\lambda^{q-1}\|x\|\phi_q\Big(\int_{0}^{T}a(r)\nabla r\Big)\\
&=\|x\| \quad \mbox{for } x\in K\cap\partial \Omega_1,
\end{aligned}\label{e2.5}
\end{equation}
where $\Omega_1=\{x\in K: \|x\|<\rho_1\}$.
  On the other hand, apply Condition (H3) and set $\rho_2>\rho_1$
 such that if $x\geq\frac{\rho_2}{T+1+\beta}$, then
     $$
        f(x,\psi(s) )> (mx)^{p-1}, \quad \mbox {for each } s\in [-r,0].
      $$
 Define $\Omega_2=\{x\in K: \|x\|<\rho_2\}$. For $x\in K$ with
$\|x\|=\rho_2$, we have
      $$
      x(t)\geq \frac{\delta}{T+\beta}\|x\|,\quad  t\in [0,T],\label{e2.6}
      $$
 Thus, we have
\begin{equation}
\begin{aligned}
\|F x\|&=(F x)(T)\\
&\geq \delta\phi_q\Big(\int_{0}^{T}\lambda a(r)f(x(r),x(\mu(r)))\nabla r\Big)\\
&\geq \delta\lambda^{q-1}\phi_q\Big(\int_{Y_1} a(r)f(x(r),\psi(\mu(r)))
\nabla r\Big)\\
&\geq m\delta\lambda^{q-1}\min_{t\in Y_1}\{x(t)\}\phi_q
 \Big(\int_{Y_1} a(r)\nabla r\Big)\\
&\geq \frac{m\delta^2\lambda^{q-1}}{T+\beta}\|x\|\phi_q
  \Big( \int_{Y_1} a(r)\nabla r\Big)\\
&=\|x\| \quad \mbox{for  } x\in K\cap\partial\Omega_2.
\end{aligned}\label{e2.7}
\end{equation}
  Applying Condition (i) of Lemma \ref{lem1.1}, the proof is complete.
\end{proof}

Note that Theorem \ref{thm2.1} is useful, but it does not apply if
   $$
     f(x_1,x_2)=x_1^2+x_2^2,
   $$
 and  if $\mu(t)<0$ for some $t$ satisfying $\psi(\mu(t))>l$ and $p=2$,
for example.
   That is, Condition (H1) is not satisfied in this case.

    We now provide a second theorem to address the above case.
Firstly, we assume
\begin{itemize}
\item[(H2')]
$$
\lim_{x_1\to 0^+;x_2\to 0^+} \frac{f(x_1,x_2)}{\max\{x_1^{p-1},
x_2^{p-1}\}}<\widetilde{l}^{p-1}.
$$
\end{itemize}

 \begin{theorem} \label{thm2.2}
    Assume Conditions (A)--(E), (H2') and (H3) are satisfied.
        Then, there exists $L>0$ such that for each $0<\lambda<L$,
        BVP \eqref{e1.1} has at least a positive solution.
 \end{theorem}

\begin{proof}
 We outline the proof as a modification of the proof of Theorem \ref{thm2.1}.
 Only the argument in the construction of $\Omega_1$ is modified.
 As in the proof of Theorem \ref{thm2.1}, apply Condition (H2');
 this time set $\varepsilon_2>0$ such that if
$0<x_1\leq \varepsilon_2,0<x_2\leq \varepsilon_2$, then
    $$
      f(x_1,x_2)<\max\big\{x_1^{p-1},x_2^{p-1}\big\}\widetilde{l}^{p-1}.
    $$
  Now, set $\rho_1=\varepsilon_2$ and define
  $$
  \Omega_1=\{x\in K:\|x\|<\rho_1\}
  $$
  In particular, note that $\rho_1$ is independent of $\lambda $. Let
  $$
  D=\Big\{\frac{\max_{x\in \overline{\Omega}_1}\int_{Y_1}
  f(x(r),\psi(\mu(r))\nabla r)}{(T+\beta)\phi_q
\big(\int_0^{T}a(r)\nabla r\big)}\Big\}^{p-1}
  $$
  Recall that $f$ is continuous so $D$ is well defined. Assume
  $$
    \lambda^{q-1}\leq \min\Big\{1,\  \frac{\rho_1}{\max_{x\in \overline{\Omega}_1}\int_{Y_1}
                f(x(r),\psi(\mu(r))\nabla r)}\Big\}:=L^{q-1}.
  $$
  Then we have
\begin{align*}
&\|F x\| \\
&\leq (T+\beta)\lambda^{q-1}\phi_q\Big(\int_{0}^{T}
                a(r)f(x(r),x(\mu(r)))\nabla r\Big)\\
&=(T+\beta)\lambda^{q-1}\Big[\phi_q\Big(\int_{Y_1}
                a(r)f(x(r),\psi(\mu(r)))\nabla r+\int_{Y_2}
                a(r)f(x(r),x(\mu(r)))\nabla r\Big)\Big]\\
&\leq (T+\beta)\lambda^{q-1}\max\big\{D^{q-1},
 \widetilde{l}\max_{t\in Y_2}\{x(t)\} \big\}\phi_q
 \Big(\int_0^{T}a(r)\nabla r\Big)\\
&\leq\|x\| \quad \mbox{for } x\in K\cap\partial \Omega_1.
\end{align*}
The remainder of the proof of Theorem \ref{thm2.1} carries over verbatim.
\end{proof}

 We now consider analogous conditions:
\begin{itemize}
\item[(H4)]  $\lim_{x\to 0^+}\frac{f(x,\psi(s))}{x^{p-1}}>m^{p-1}$,
  uniformly in $s\in [-r,0]$;

\item[(H5)] $\lim_{x\to \infty}\frac{f(x,\psi(s))}{x^{p-1}}<l^{p-1}$,
 uniformly in $s\in [-r,0]$;

\item[(H6)] $\lim_{x_1\to\infty;x_2\to \infty}\frac{f(x_1,x_2)}
{\max\{x_1^{p-1},x_2^{p-1}\}}<l^{p-1}$.

\end{itemize}

\begin{theorem} \label{thm2.3}
    Assume Conditions (A)--(E), (H4)--(H6) are satisfied.
   Then, for each $0<\lambda<\infty$, BVP \eqref{e1.1} has at least
 a positive solution.
 \end{theorem}

\begin{proof}  Apply Condition (H4) and set $\rho_1>0$ such that
if $0<x\leq\rho_1$, then
     $$
        f(x,\psi(s) )> (mx)^{p-1} .
      $$
 Define $\Omega_1=\{x\in K: \|x\|<\rho_1\}$. For $x\in K$ with
$\|x\|=\rho_1$, we have
      $$
      x(t)\geq \frac{\delta}{T+\beta}\|x\|,\quad   t\in [0,T],
      $$
 Thus,
\begin{align*}
\|F x\|&=(F x)(T)\\
&\geq \delta\phi_q\Big(\int_{0}^{T}\lambda a(r)f(x(r),x(\mu(r)))\nabla r\Big)\\
&\geq \delta\lambda^{q-1}\phi_q\Big(\int_{Y_1} a(r)f(x(r),\psi(\mu(r)))
  \nabla r\Big)\\
&\geq m\delta\lambda^{q-1}\min_{t\in Y_1}\{x(t)\}\phi_q
  \Big(\int_{Y_1} a(r)\nabla r\Big)\\
&\geq \frac{m\delta^2\lambda^{q-1}}{T+\beta}\|x\|\phi_q
 \Big( \int_{Y_1} a(r)\nabla r\Big)\\
&=\|x\| \quad \mbox{for  } x\in K\cap\partial\Omega_1.
\end{align*}
 To construct $\Omega_2$, we consider two cases,
 $f$ bounded and $f$ unbounded:
 When $f$ is bounded, the construction is straightforward.
If $f(x_1,x_2)$ is  bounded by $N^{p-1}>0$, set
 $$
 \rho_2=\max\big\{2\rho_1,N(T+\beta)\phi_q\big( \int_0^T a(r)\nabla r\big)\big\}.
 $$
Then define $\Omega_2=\{x\in K: \|x\|<\rho_2\}$. For $x\in K$ with
$\|x\|=\rho_2$, we have
 $$
   \|F x\|\leq N(T+\beta)\phi_q\big(\int_0^T a(r)\nabla r\big)\leq \rho_2.
 $$
  Assume $f$ is unbounded. Apply Condition (H5) and set
  $\varepsilon_1>0$ such that if $x> \varepsilon_1$, then
      $$
        f(x,\psi(s))< (lx)^{p-1}, \quad \mbox{for each }  s\in [-r,0].
      $$
    Apply Condition (H6) and set $\varepsilon_2>0$ such that
    if $x_1\geq \varepsilon_2,x_2\geq \varepsilon_2$, then
    $$
      f(x_1,x_2)<\max\big\{x_1^{p-1},x_2^{p-1}\big\}l^{p-1}.
    $$
Set $\rho_2=\max\{2\rho_1,\varepsilon_1,\varepsilon_2\}$.
Then, for any $x\in K$ with $\|x\|=\rho_2$,  from \eqref{e2.3},
we  have
\begin{align*}
&\|F x\|\\
&\leq (T+\beta)\lambda^{q-1}\phi_q\Big(\int_{0}^{T}
                a(r)f(x(r),x(\mu(r)))\nabla r\Big)\\
&=(T+\beta)\lambda^{q-1}\Big[\phi_q\Big(\int_{Y_1}
                a(r)f(x(r),\psi(\mu(r)))\nabla r+\int_{Y_2}
                a(r)f(x(r),x(\mu(r)))\nabla r\Big)\Big]\\
&\leq l(T+\beta)\lambda^{q-1}\max_{t\in [0,T]}\{x(t)\}
\phi_q\Big(\int_{0}^{T}a(r)\nabla r\Big)\\
&= l(T+\beta)\lambda^{q-1}\|x\|\phi_q\Big(\int_{0}^{T}a(r)\nabla r\Big)\\
&=\|x\| \quad \mbox{for } x\in K\cap\partial \Omega_2,
\end{align*}
where $\Omega_2=\{x\in K: \|x\|<\rho_2\}$.
 Apply Condition (ii) of Lemma \ref{lem1.1}, the proof is complete.
\end{proof}

 Similarly,  assuming
\begin{itemize}
\item[(H6')]
$$
\lim_{x_1\to \infty;x_2\to \infty}
      \frac{f(x_1,x_2)}{\max\{x_1^{p-1},x_2^{p-1}\}}<\widetilde{l}^{p-1},
$$
\end{itemize}
we have the following theorem which is analogous to Theorem \ref{thm2.2}.

\begin{theorem} \label{thm2.4}
    Assume Conditions (A)--(E), (H5) and  (H6') are satisfied.
        Then, there exists $L>0$ such that for each $0<\lambda<L$,
        BVP \eqref{e1.1} has at least one positive solution.
 \end{theorem}


\begin{thebibliography}{00}

\bibitem{a1} R. P. Agarwal, M. Bohner; \emph{Basic calculus on time scales and
some of its applications}, Results Math. 35 (1999), 3-22.

\bibitem{a2} D. Anderson, R. Avery and J. Henderson; \emph{Existence of
solutions for a one dimensional $p$-Laplacian on time-scales}, J.
Difference Equa. Appl. 10 (2004), 889-896.

\bibitem{a3}  R. I. Avery, J. Henderson; \emph{Existence of three positive
pseudo-symmetric solutions for a one-dimensional $p$-Laplacian},
 J. Math. Anal. Appl. 277 (2003), 395-404.

 \bibitem{b1} M. Bohner and A. Peterson; \emph{Dynamic Equations on Time Scales,
 An introduction with Applications}, Birkh\"{a}user, Boston, 2001.

\bibitem{c1}  A. Cabada; \emph{Extremal solutions for the difference
$\phi$-Laplacian problem with nonlinear functional boundary
conditions}, Comput. Math. Appl. 42 (2001), 593-601.

\bibitem{h1} S. Hilger; \emph{Analysis on measure chains-a unified approach to
continuous and discrete calculus}, Results Math. 35 (1990), 18-56.

\bibitem{k1}  E. R. Kaufmann, Y. N. Raffoul; \emph{Positive
solutions of nonlinear functional dynamic equation on a time
scale}, Nonlinear Anal. 62 (2005), 1267-1276.

\bibitem{k2}  M. A. Krasnosel'skii; \emph{Positive solutions of operator
equations}, Noordhoof, Groningen, (1964).

 \bibitem{l1} Y. J. Liu, W. G. Ge; \emph{Twin positive solutions of boundary
 value problems for finite difference equations with
$p$-Laplacian operator}, J. Math. Anal. Appl. 278 (2) (2003)
551-561.

\bibitem{w1}  P. X. Weng, Z. H. Guo; \emph{Existence of positive solutions for
 BVP of nonlinear functional
  difference equation with $p$-Laplacian operator}, Acta Math.Sinica,
   Chinese Series, 49 (2006), 187-194.

\bibitem{w2}  F. H. Wong; \emph{Existence of positive solutions for
$m$-Laplacian Bvps}, Appl. Math. Letters 12 (1999), 11-17.

\end{thebibliography}

 \end{document}
