\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2015 (2015), No. 03, pp. 1--9.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu}
\thanks{\copyright 2015 Texas State University - San Marcos.}
\vspace{9mm}}

\begin{document}
\title[\hfilneg EJDE-2015/03\hfil Existence and concentration of solutions]
{Existence and concentration of solutions for sublinear fourth-order
 elliptic equations}

\author[W. Zhang, X. Tang, J. Zhang \hfil EJDE-2015/03\hfilneg]
{Wen Zhang, Xianhua Tang, Jian Zhang}  % in alphabetical order

\address{Wen Zhang \newline
School of Mathematics and Statistics,
Central South University,
Changsha, 410083 Hunan, China}
\email{zwmath2011@163.com}

\address{Xianhua Tang (corresponding author) \newline
School of Mathematics and Statistics,
Central South University,
Changsha, 410083 Hunan, China}
\email{tangxh@mail.csu.edu.cn}

\address{Jian Zhang \newline 
School of Mathematics and Statistics,
Central South University,
Changsha, 410083 Hunan, China}
\email{zhangjian433130@163.com}

\thanks{Submitted November 23, 2014. Published January 5, 2015}
\subjclass[2000]{35J35, 35J60}
\keywords{Fourth-order elliptic equations; variational method;
concentration}

\begin{abstract}
 This article concerns the fourth-order elliptic equations
 \begin{gather*}
   \Delta^{2}u-\Delta u+\lambda V(x)u=f(x, u), \quad x\in \mathbb{R}^N,\\
    u\in H^{2}(\mathbb{R}^N),
 \end{gather*}
 where $\lambda >0$ is a parameter, $V\in C(\mathbb{R}^N)$ and $V^{-1}(0)$
 has nonempty interior. Under some mild assumptions, we establish the existence
 of nontrivial solutions. Moreover, the concentration of solutions is also
 explored on the set $V^{-1}(0)$ as $\lambda\to\infty$.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\allowdisplaybreaks

\newcommand{\R}{\mathbb{R}}
\newcommand{\Z}{\mathbb{Z}}
\newcommand{\N}{\mathbb{N}}

\section{Introduction and statement of main results}
 
This article concerns  the  fourth-order elliptic equation
\begin{equation}\label{1.1}
\begin{gathered}
 \Delta^{2}u-\Delta u+\lambda V(x)u=f(x, u), \quad x\in \mathbb{R}^N,\\
 u\in H^{2}(\mathbb{R}^N),
 \end{gathered}
\end{equation}
 where $\Delta^{2}:=\Delta(\Delta)$ is the biharmonic operator and $\lambda >0$ 
is a parameter.

 Problem \eqref{1.1} arises in the study of travelling waves
in suspension bridge and the study of the static deflection of
an elastic plate in a fluid, see \cite{CM,LM,MW}. 
There are many results for fourth-order elliptic equations, but most of them 
are focused on bounded domains, see \cite{AEW,AL,AH,B,PWT,WZZ,W,YZ,ZW,ZTZ3,ZW1} 
and the references therein. Recently, the case of the whole space $\mathbb{R}^N$ 
was also considered in some works, see \cite{LCW,T,T1, YS,YT,YT1,YW,ZTZ1,ZTZ,ZTZ2}. 
For the whole space $\mathbb{R}^N$ case, the main difficulty of this problem is 
the lack of compactness for Sobolev embedding theorem. 
To overcome this difficulty, some authors assumed that the potential $V$ satisfies
certain coercive condition, see \cite{T2,YT,YW,ZTZ1}.  Later, the authors 
in \cite{LCW,YT1} considered the potential well case with a parameter. 
With the aid of parameter, they proved that the energy functional possess 
the property of locally compact. Moreover, the authors of these literatures 
proved the existence of infinitely
many high energy solutions for superlinear case. 
For somewhat related sublinear case and the existence of infinitely many small
negative-energy solutions, see \cite{YT,ZTZ}. For singularly perturbed problem 
with superlinear nonlinearities and concentration phenomenon of semi-classical 
solutions, we refer readers to \cite{LT,PS,PS1} and the references therein.


Motivated by the above articles,  we continue to
consider problem \eqref{1.1} with steep well potential and study the existence 
of nontrivial solution and concentration results (as $\lambda\to\infty$) 
under some mild assumptions different from those studied previously. 
To reduce our statements, we  make the following assumptions for 
potential $V$:

\begin{itemize}
\item[(V1)] $V(x)\in C(\mathbb{R}^N)$ and $V(x)\geq 0$ on
$\mathbb{R}^N$;

\item[(V2)]  There exists a constant $b>0$ such that the set 
$V_{b}:=\{x\in \mathbb{R}^N|V(x)<b\}$ is nonempty and has finite measure;

\item[(V3)]  $\Omega=int V^{-1}(0)$ is nonempty and has smooth boundary with
$\bar{\Omega}=V^{-1}(0)$.
\end{itemize}
This kind of hypotheses was first introduced by Bartsch and Wang \cite{BW}
(see also \cite{BPW}) in the study of a nonlinear
Schr\"odinger equation and the potential $\lambda V(x)$ with $V$ satisfying 
(V1)--(V3) is referred as the steep well potential.
It is worth mentioning that the above papers always
assumed the potential $V$ is positive ($V>0$). 
Compared with the case $V>0$, our assumptions on $V$ are rather weak, 
and perhaps more important.
Generally speaking, there may exist some behaviours and phenomenons for 
the solutions of problem \eqref{1.1} under condition (V3), such as the
concentration phenomenon of solutions. We are also interested 
in the case that the nonlinearity $f(x,u)$ is sublinear and indefinite.
To our knowledge, few works concerning on this case up to now.
Based on the above facts, the main purpose of this paper is to prove 
the existence of nontrivial solutions and to investigate the
concentration phenomenon of solutions on the set $V^{-1}(0)$ as
 $\lambda\to \infty$. To state our results, we need the following assumptions:
\begin{itemize}
\item[(F1)]  $f\in C(\mathbb{R}^N, \mathbb{R})$ and there exist constants
 $1<\gamma_1<\gamma_{2}<\dots <\gamma_{m}<2$ and functions
 $\xi_i(x)\in L^{\frac{2}{2-\gamma_i}}(\mathbb{R}^N, \mathbb{R}^{+})$ such that
 \[
|f(x, u)|\leq \sum_{i=1}^{m}\gamma_i\xi_i(x)|u|^{\gamma_i-1},\quad \forall
(x,u)\in \mathbb{R}^N\times \mathbb{R}.
\]

\item[(F2)]  There exist three constants $\eta, \delta >0, \gamma_0\in (1, 2)$
such that
 \[
|F(x, u)|\geq \eta |u|^{\gamma_0} \quad \text{for all }x\in \Omega
\text{ and all }|u|\leq \delta,
\]
where $F(x, u)=\int_0^{u}f(x, s)ds$.
\end{itemize}

On the existence of solutions we have the following result.

 \begin{theorem} \label{thm1.1} 
Assume that the conditions {\rm (V1)--(V3),  (F1), (F2)} hold.
Then there exists $\Lambda_0>0$ such that
 for every $\lambda>\Lambda_0$, problem \eqref{1.1} has at least a
 solution $u_{\lambda}$.
\end{theorem}

 On the concentration of solutions we have the following result.

 \begin{theorem} \label{thm1.2}
 Let $u_{\lambda}$ be a solution of problem \eqref{1.1} obtained
 in Theorem \ref{thm1.1}, then $u_{\lambda}\to u_0$ in $H^{2}(\mathbb{R}^N)$
 as $\lambda\to \infty$, where $u_0\in H^{2}(\Omega)\cap H_0^{1}(\Omega)$
 is a nontrivial solution of the equation
 \begin{equation}\label{1.2}
\begin{gathered}
\Delta^{2}u-\Delta u=f(x, u), \quad \text{in }\Omega,\\
u=0,\quad  \text{on }\partial\Omega. 
\end{gathered}
\end{equation}
\end{theorem}

The rest of this article is organized as follows. 
In Section $2$, we establish
the variational framework associated with problem \eqref{1.1}, 
and we also give the proof of Theorem \ref{thm1.1}. In
Section $3$, we study the concentration of solutions and prove 
Theorem \ref{thm1.2}.

\section{Variational setting and proof of Theorem \ref{thm1.1}}

By $\|\cdot\|_{q}$ we denote the usual $L^{q}$-norm for $1\leq q\leq\infty$, 
$c_i$, $C$, $C_i$ stand for different positive constants.
Let
\[
X=\big\{u\in H^{2}({\R}^N): \int_{\mathbb{R}^N}\left(|\Delta
u|^{2}+|\nabla u|^{2}+V(x)u^{2}\right)\,dx<+\infty\big\},
\]
be equipped with the inner product
\[
(u,v)=\int_{\mathbb{R}^N}\big(\Delta u \Delta v+\nabla u\cdot \nabla v
+V(x)uv\big)\,dx,\quad u, v\in X,
\]
and the norm
\[
\|u\|=\Big(\int_{\mathbb{R}^N}(|\Delta u|^{2}+|\nabla
u|^{2}+V(x)u^{2})\,dx\Big)^{1/2},\quad u\in X.
\]
For $\lambda>0$, we also need the following inner product
\[
(u,v)_{\lambda}=\int_{\mathbb{R}^N}\left(\Delta u \Delta v+ \nabla u\cdot \nabla v
+\lambda V(x)uv\right)\,dx,\quad u, v\in X,
\]
and the corresponding norm $\|u\|_{\lambda}^{2}=(u,u)_{\lambda}$. It is clear that
$\|u\|\leq \|u\|_{\lambda}$, for $\lambda \geq 1$.

Set $E_{\lambda}=(X, \|u\|_{\lambda})$, then $E_{\lambda}$ is a Hilbert space. 
By using (V1)-(V2) and the Sobolev inequality,
we can demonstrate that there exist positive constants $\lambda_0$, $c_0$
(independent of $\lambda$) such that
\[
\|u\|_{H^{2}({\R}^N)}\leq  c_0\|u\|_{\lambda},\quad \text{for all }
 u\in E_{\lambda},\; \lambda\geq\lambda_0.
\]
In fact, by using conditions (V1)-(V2) and the Sobolev inequality, we have
\begin{align*}
&\int_{\mathbb{R}^N}(|\Delta u|^{2}+|\nabla u|^{2}+u^{2})\,dx\\
&=\int_{\mathbb{R}^N}(|\Delta u|^{2}+|\nabla u|^{2})\,dx+\int_{V_{b}}u^{2}\,dx
 +\int_{\mathbb{R}^N\backslash V_{b}}u^{2}\,dx\\
&\leq\int_{\mathbb{R}^N}(|\Delta u|^{2}+|\nabla u|^{2})\,dx
 +\left(\operatorname{meas}(V_{b})\right)^{\frac{2^{*}-2}{2^{*}}}
 \Big(\int_{\mathbb{R}^N}|u|^{2^{*}}\,dx\Big)^{2/2^*}
 +\int_{\mathbb{R}^N\backslash V_{b}}u^{2}\,dx\\
&\leq\int_{\mathbb{R}^N}(|\Delta u|^{2}+|\nabla u|^{2})\,dx
 +\left(\operatorname{meas}(V_{b})\right)^{\frac{2^{*}-2}{2^{*}}}
 \Big(\int_{\mathbb{R}^N}|u|^{2^{*}}\,dx\Big)^{2/2^*}\\
&\quad  +\frac{1}{\lambda b}\int_{\mathbb{R}^N\backslash V_{b}}\lambda Vu^{2}\,dx\\
&\leq\int_{\mathbb{R}^N}(|\Delta u|^{2}+|\nabla u|^{2})\,dx
 +S^{-1}\left(\operatorname{meas}(V_{b})\right)^{\frac{2^{*}-2}{2^{*}}}
 \int_{\mathbb{R}^N}|\nabla u|^{2}\,dx
 +\frac{1}{\lambda b}\int_{\mathbb{R}^N}\lambda Vu^{2}\,dx\\
&\leq\max\Big\{1,1+S^{-1}\left(\operatorname{meas}(V_{b})
 \right)^{\frac{2^{*}-2}{2^{*}}},\frac{1}{\lambda b}\Big\}
 \int_{\mathbb{R}^N}(|\Delta u|^{2}+|\nabla u|^{2}+\lambda Vu^{2})\,dx\\
&:=c_0\int_{\mathbb{R}^N}(|\Delta u|^{2}+|\nabla u|^{2}+\lambda Vu^{2})\,dx,\\
&\quad \text{for }
 \lambda\geq\lambda_0:=\frac{1}{b(1+S^{-1}
\left(\operatorname{meas}(V_{b})\right)^{\frac{2^{*}-2}{2^{*}}})}.
\end{align*}
Here we use the fact that $H^{2}(\mathbb{R}^N)\subset H^{1}(\mathbb{R}^N)$.
Furthermore, the embedding $E_{\lambda}\hookrightarrow L^{p}(\mathbb{R}^N)$ 
is continuous for $p\in[2,2_{*}]$, and 
$E_{\lambda}\hookrightarrow L_{\rm loc}^{p}(\mathbb{R}^N)$ is compact for
 $p\in[2,2_{*})$, i.e., there are constants $c_{p}>0$ such that
\begin{equation}\label{2.1}
\|u\|_{p}\leq c_{p}\|u\|_{{H^{2}({\R}^N)}} 
\leq c_{p}c_0\|u\|_{\lambda},\quad \text{for all }
u\in E_{\lambda},\; \lambda\geq\lambda_0,\; 2\leq p\leq 2_{\ast},
\end{equation}
where $2_{*}=+\infty$ if $N\leq4$, and $2_{*}=\frac{2N}{N-4}$ if $N>4$.

Let
\begin{equation}\label{2.2}
\Phi_{\lambda}(u)=\frac{1}{2} \int_{\mathbb{R}^N}\left(|\Delta u|^{2}+|\nabla
u|^{2}+\lambda V(x)u^{2}\right)\,dx-\int_{\mathbb{R}^N}F(x, u)\,dx.
\end{equation}
By a standard argument, it is easy to verify that 
$\Phi_{\lambda} \in C^{1}(E_{\lambda}, \mathbb{R})$ and
\begin{equation}\label{2.3}
\langle\Phi_{\lambda}'(u), v\rangle=\int_{\mathbb{R}^N}\left[\Delta u \Delta v
+\nabla u \cdot \nabla v+\lambda V(x)uv\right]\,dx-\int_{\mathbb{R}^N}f(x,
u)v\,dx,
\end{equation}
for all $u, v\in E_{\lambda}$.
Then we can infer that $u\in E_{\lambda}$ is a critical point of 
$\Phi_{\lambda}$ if and only if
it is a weak solution of problem  \eqref{1.1}.
 Next, we give a useful lemma.

 \begin{lemma}[\cite{Rabinowitz}] \label{lem2.1} 
Let $E$ be a real Banach space and $\Phi \in C^{1}(E, \mathbb{R})$ 
satisfy the (PS)-condition. If $\Phi$ is bounded from below, then 
$c=\inf_{E} \Phi$ is a critical value of $\Phi$.
\end{lemma}

\begin{lemma} \label{lem2.2} 
Suppose that {\rm (V1)-(V3), (F1), (F2)} are satisfied. 
There exists $\Lambda_0>0$ such that for every $\lambda>\Lambda_0$,
$\Phi_{\lambda}$ is bounded from below in $E$.
\end{lemma}

\begin{proof} 
From \eqref{2.1}, \eqref{2.2}, (F1) and the H\"older inequality,
we have
\begin{equation}\label{2.4}
\begin{aligned}
 \Phi_{\lambda}(u)&=\frac{1}{2} \|u\|_{\lambda}^{2}-\int_{\mathbb{R}^N}F(x, u)\,dx\\
&\geq \frac{1}{2} \|u\|_{\lambda}^{2}-\sum_{i=1}^{m}
\Big(\int_{\mathbb{R}^N}|\xi_i(x)|^{\frac{2}{2-\gamma_i}}\,dx\Big)
^{(2-\gamma_i)/2}\Big(\int_{\mathbb{R}^N}|u|^{2}\,dx\Big)^{\gamma_i/2}\\
&\geq \frac{1}{2}
\|u\|_{\lambda}^{2}-\sum_{i=1}^{m}c_{2}^{\gamma_i}
c_0^{\gamma_i}\|\xi_i\|_{\frac{2}{2-\gamma_i}}\|u\|_{\lambda}^{\gamma_i},
\end{aligned}
\end{equation}
which implies that $\Phi_{\lambda}(u)\to +\infty$ as
$\|u\|_{\lambda}\to +\infty$, since
$1<\gamma_1<\gamma_{2}<\dots <\gamma_{m}<2$. Consequently, there
exists $\Lambda_0:=\max\{1,\lambda_0\}>0$ such that for every
$\lambda>\Lambda_0$,
$\Phi_{\lambda}$ is bounded from below. 
\end{proof}

\begin{lemma} \label{lem2.3} 
 Suppose that {\rm (V1)--(V3), (F1), (F2)} are satisfied. 
Then $\Phi_{\lambda}$ satisfies the (PS)-condition for each 
$\lambda>\Lambda_0$.
\end{lemma}

\begin{proof} 
Assume that $\{u_n\}\subset E_{\lambda}$ is a sequence such that
$\Phi_{\lambda}(u_n)$ is bounded and $\Phi'_{\lambda}(u_n)\to 0$ as
$n\to \infty$. By Lemma \ref{lem2.2}, it is clear that $\{u_n\}$ is bounded
in $E_{\lambda}$. Thus, there exists a constant $C>0$ such that for 
all $n\in \mathbb{N}$
\begin{equation}\label{2.5}
\|u_n\|_{p}\leq c_{p}c_0\|u_n\|_{\lambda}
\leq C,\quad \text{for all } u\in E_{\lambda},\; \lambda\geq\lambda_0,\;
 2\leq p\leq 2_{\ast}.
\end{equation}
Passing to a subsequence if necessary, we may assume that 
$u_n \rightharpoonup u_0$
in $E_{\lambda}$. For any $\epsilon >0$, since 
$\xi_i(x)\in L^{\frac{2}{2-\gamma_i}}(\mathbb{R}^N, \mathbb{R}^{+})$, 
we can choose $R_{\epsilon}>0$ such that
\begin{equation}\label{2.6}
\Big(\int_{\mathbb{R}^N\setminus B_{R_{\epsilon}}}|\xi_i(x)|
^{\frac{2}{2-\gamma_i}}\,dx\Big)
^{(2-\gamma_i)/2}<\epsilon, \quad 1\leq i\leq m.
\end{equation}
By Sobolev's embedding theorem, $u_n \rightharpoonup u_0$
in $E_{\lambda}$ implies
\[
u_n\to u_0\quad \text{in }L_{\rm loc}^{2}( \mathbb{R}^N),
\]
and hence,
\begin{equation}\label{2.7}
\lim_{n\to \infty}\int_{B_{R_{\epsilon}}} |u_n-u_0|^{2}\,dx=0.
\end{equation}
By \eqref{2.7}, there exists $N_0\in \mathbb{N}$ such that
\begin{equation}\label{2.8}
\int_{B_{R_{\epsilon}}} |u_n-u_0|^{2}\,dx<\epsilon ^{2},
\quad \text{for }n\geq N_0.
\end{equation}
Hence, by (F1), \eqref{2.5}, \eqref{2.8} and the H\"older inequality, for any
$n\geq N_0$, we have
\begin{equation}\label{2.9}
\begin{aligned}
&\int_{B_{R_{\epsilon}}}\left |f(x, u_n)-f(x,u_0)\right| |u_n-u_0|\,dx\\
&\leq \Big(\int_{B_{R_{\epsilon}}}|f(x, u_n)-f(x,u_0)|^{2}\,dx\Big)^{1/2}
\Big(\int_{B_{R_{\epsilon}}}|u_n-u_0|^{2}\,dx\Big)^{1/2}\\
&\leq \Big(\int_{B_{R_{\epsilon}}}2\left(|f(x, u_n)|^{2}+|f(x,u_0)|^{2}\right)
 \,dx\Big)^{1/2}\epsilon\\
&\leq 2\Big[\sum_{i=1}^{m}\gamma_i^{2}
\Big(\int_{B_{R_{\epsilon}}}|\xi_i(x)|^{2}\left(|u_n|^{2(\gamma_i-1)}
+|u_0(x)|^{2(\gamma_i-1)}\right)\,dx\Big)^{1/2}\Big]\epsilon\\
&\leq 2\Big[\sum_{i=1}^{m}\gamma_i^{2}\|\xi_i\|_{\frac{2}{2-\gamma_i}}^{2}
\Big(\|u_n\|_{2}^{2(\gamma_i-1)}
+\|u_0\|_{2}^{2(\gamma_i-1)}\Big)\Big]^{1/2}\epsilon\\
&\leq 2\Big[\sum_{i=1}^{m}\gamma_i^{2}\|\xi_i\|_{\frac{2}{2-\gamma_i}}^{2}
\Big(C^{2(\gamma_i-1)}
+\|u_0\|_{2}^{2(\gamma_i-1)}\Big)\Big]^{1/2}\epsilon.
\end{aligned}
\end{equation}
On the other hand, by \eqref{2.5}, \eqref{2.6}, \eqref{2.8} and (F1), we have
\begin{equation}\label{2.10}
\begin{aligned}
&\int_{\mathbb{R}^N\setminus B_{R_{\epsilon}}}\left |f(x, u_n)-f(x,u_0)\right| |u_n-u_0|\,dx\\
&\leq 2\sum_{i=1}^{m}\int_{\mathbb{R}^N\setminus B_{R_{\epsilon}}}\gamma_i|\xi_i(x)|
\left(|u_n|^{\gamma_i}+|u_0|^{\gamma_i}\right)\,dx\\
&\leq 2\epsilon \sum_{i=1}^{m}c_{2}^{\gamma_i}c_0^{\gamma_i}
\left(\|u_n\|_{\lambda}^{\gamma_i}+\|u_0\|_{\lambda}^{\gamma_i}\right)\\
&\leq  2\epsilon \sum_{i=1}^{m}c_{2}^{\gamma_i}c_0^{\gamma_i}
\left(C^{\gamma_i}+\|u_0\|_{\lambda}^{\gamma_i}\right),\quad n\in \mathbb{N}.
\end{aligned}
\end{equation}
Since $\epsilon$ is arbitrary, combining \eqref{2.9}$ with \eqref{2.10}$, we have
\begin{equation}\label{2.11}
\int_{\mathbb{R}^N}\left |f(x, u_n)-f(x,u_0)\right| |u_n-u_0|\,dx<\epsilon,
\quad \text{as }n\to \infty.
\end{equation}
It follows from \eqref{2.3} that
\begin{equation}\label{2.12}
\begin{aligned}
&\langle \Phi_{\lambda}'(u_n)-\Phi_{\lambda}'(u_0), u_n-u_0\rangle\\
&=\|u_n-u_0\|_{\lambda}^{2} +\int_{\mathbb{R}^N}
\left |f(x, u_n)-f(x,u_0)\right| |u_n-u_0|\,dx.
\end{aligned}
\end{equation}
It is clear that $\langle \Phi_{\lambda}'(u_n)-\Phi_{\lambda}'(u_0),
u_n-u_0\rangle\to 0$, thus, from \eqref{2.11} and \eqref{2.12},
we get $u_n\to u_0$ in $E_{\lambda}$. Hence, $\Phi_{\lambda}$ satisfies
(PS)-condition.
\end{proof}

\begin{proof}[Proof of Theorem \ref{thm1.1}]
 From Lemmas \ref{lem2.1}, \ref{lem2.2}, \ref{lem2.3}, we  know that
$c_{\lambda}=\inf_{E_{\lambda}}\Phi_{\lambda}(u)$ 
is a critical value of $\Phi_{\lambda}$;
that is, there exists a critical point $u_{\lambda}\in E_{\lambda}$ such that
$\Phi_{\lambda}(u_{\lambda})=c_{\lambda}$. 
Next, similar to the argument in \cite{TL}, we show that $u_{\lambda}\neq 0$.
Let $u^{\ast}\in \left(H^{2}(\Omega)\cap H_0^{1}(\Omega)\right)\setminus \{0\}$
and $\|u^{\ast}\|_{\infty}\leq 1$, then by (F2) and \eqref{2.2}, we have
\begin{equation}\label{2.13}
\begin{aligned}
 \Phi_{\lambda}(tu^{\ast})
&=\frac{1}{2} \|tu^{\ast}\|_{\lambda}^{2}
-\int_{\mathbb{R}^N}F(x, tu^{\ast})\,dx\\
&= \frac{t^{2}}{2} \|u^{\ast}\|_{\lambda}^{2}-\int_{\Omega}F(x, tu^{\ast})\,dx\\
&\leq \frac{t^{2}}{2} \|u^{\ast}\|_{\lambda}^{2} -\eta
t^{\gamma_0}\int_{\Omega}|u^{\ast}|^{\gamma_0}\,dx,
\end{aligned}
\end{equation}
where $0<t<\delta$, $\delta$ be given in (F2). Since $1<\gamma_0<2$, 
it follows from \eqref{2.13} that
$\Phi_{\lambda}(tu^{\ast})<0$ for $t>0$ small enough. Hence,
$\Phi_{\lambda}(u_{\lambda})=c_{\lambda}<0$, therefore, $u_{\lambda}$ is a
nontrivial critical point of $\Phi_{\lambda}$ and so $u_{\lambda}$
is a nontrivial solution of problem  \eqref{1.1}. The
proof is complete. 
\end{proof} 

\section{Concentration of solutions}

In the following, we study the concentration of solutions for 
problem \eqref{1.1} as $\lambda\to\infty$. 
Define 
\[
\tilde{c}=\inf_{u\in H^{2}(\Omega)\cap
H_0^{1}(\Omega)}\Phi_{\lambda}|_{H^{2}(\Omega)\cap
H_0^{1}(\Omega)}(u),
\]
where $\Phi_{\lambda}|_{H^{2}(\Omega)\cap
H_0^{1}(\Omega)}$ is a restriction of $\Phi_{\lambda}$ on
$H^{2}(\Omega)\cap H_0^{1}(\Omega)$; that is,
\[
\Phi_{\lambda}|_{H^{2}(\Omega)\cap H_0^{1}(\Omega)}(u)=\frac{1}{2}
\int_{\Omega}\left(|\Delta u|^{2}+|\nabla
u|^{2}\right)\,dx-\int_{\Omega}F(x, u)\,dx,
\]
for $u\in H^{2}(\Omega)\cap H_0^{1}(\Omega)$.
Similar to the proof of Theorem \ref{thm1.1}, it is easy to prove that
$\tilde{c}<0$ can be achieved. 
Since $\left(H^{2}(\Omega)\cap
H_0^{1}(\Omega)\right)\subset E_{\lambda}$ for all $\lambda >0$, we get
\[
c_{\lambda}\leq \tilde{c}<0,\quad \text{for all }\lambda>\Lambda_0.
\]

\begin{proof}[Proof of Theorem \ref{thm1.2}]
 We follow the arguments in \cite{BPW}. For any sequence 
$\lambda_n\to \infty$, let $u_n:=u_{\lambda_n}$ be the critical points of
$\Phi_{\lambda_n}$ obtained in Theorem \ref{thm1.1}. Thus
\begin{equation}\label{3.1}
\Phi_{\lambda_n}(u_n) \leq \tilde{c}<0
\end{equation}
and
\begin{align*}
 \Phi_{\lambda_n}(u_n)&=\frac{1}{2} \|u_n\|_{\lambda_n}^{2}-
\int_{\mathbb{R}^N}F(x, u_n)\,dx\\
&\geq \frac{1}{2}
\|u_n\|_{\lambda_n}^{2}-\sum_{i=1}^{m}c_{2}^{\gamma_i}c_0^{\gamma_i}
\|\xi_i\|_{\frac{2}{2-\gamma_i}}\|u_n\|_{\lambda_n}^{\gamma_i},
\end{align*}
which implies
\begin{equation}\label{3.2}
\|u_n\|_{\lambda_n}\leq c_1,
\end{equation}
where the constant $c_1$ is independent of $\lambda_n$.
Therefore, we may assume that $u_n\rightharpoonup u_0$ in $E_{\lambda}$
and $u_n\to u_0$ in $L_{\rm loc}^{p}(\mathbb{R}^N)$ for
$2\leq p< 2_{\ast}$. From Fatou's lemma, we have
\[
\int_{\mathbb{R}^N}V(x)|u_0|^{2}\,dx
\leq \liminf_{n\to \infty}\int_{\mathbb{R}^N}V(x)|u_n|^{2}\,dx
\leq \liminf_{n\to \infty}\frac{\|u_n\|_{\lambda_n}^{2}}{\lambda_n}=0,
\]
which implies that $u_0=0$ a.e. in $\mathbb{R}^N \setminus
V^{-1}(0)$ and $u_0\in H^{2}(\Omega)\cap H_0^{1}(\Omega)$ by
(V3). Now for any $\varphi \in C_0^{\infty}(\Omega)$, since
$\langle \Phi'_{\lambda_n}(u_n), \varphi \rangle=0$, it is easy
to verify that
\[
\int_{\Omega}\left(\Delta u_0 \Delta \varphi +\nabla u_0 \cdot
\nabla \varphi \right)\,dx-\int_{\Omega}f(x, u_0)\varphi \,dx=0,
\]
which implies that $u_0$ is a weak solution of problem
\eqref{1.2} by the density of $C_0^{\infty}(\Omega)$ in
$H^{2}(\Omega)\cap H_0^{1}(\Omega)$.


Next, we show that
$u_n\to u_0$ in $L^{p}(\mathbb{R}^N)$ for $2\leq p<
2_{\ast}$. Otherwise, by Lions vanishing lemma \cite{L,W}, there
exist $\delta>0, \rho>0$ and $x_n\in \mathbb{R}^N$ such that
\[
\int_{B_{\rho}(x_n)}|u_n-u_0|^{2}\,dx\geq \delta.
\]
Since $u_n\to u_0$ in $L_{\rm loc}^{2}(\mathbb{R}^N)$, $|x_n|\to \infty$. 
Hence $\operatorname{meas}\left(B_{\rho}(x_n)\cap V_{b}\right)\to 0$.
 By the H\"older inequality, we have
\[
\int_{B_{\rho}(x_n)\cap V_{b}}|u_n-u_0|^{2}\,dx
\leq \left(\operatorname{meas}\left(B_{\rho}(x_n)\cap V_{b}\right)
\right)^{\frac{2_{*}-2}{2_{*}}}
 \Big(\int_{\mathbb{R}^N}|u_n-u_0|^{2_{*}}\Big)^{2/2_*}\to 0.
\]
Consequently,
\begin{align*}
\|u_n\|_{\lambda_n}^{2}&\geq \lambda_nb
\int_{B_{\rho}(x_n)\cap \{x\in \mathbb{R}^N: V(x)\geq b\}}|u_n|^{2}\,dx\\
&=\lambda_nb\int_{B_{\rho}(x_n)\cap \{x\in \mathbb{R}^N:
V(x)\geq b\}}|u_n-u_0|^{2}\,dx\\
&=\lambda_nb\Big(\int_{B_{\rho}(x_n)}|u_n-u_0|^{2}\,dx
-\int_{B_{\rho}(x_n)\cap V_{b}}|u_n-u_0|^{2}\,dx+o(1)\Big)\\
&\to \infty,
\end{align*}
which contradicts \eqref{3.2}. Next, we show that
$u_n\to u_0$ in $H^{2}(\mathbb{R}^N)$. By virtue of $\langle
\Phi'_{\lambda_n}(u_n), u_n \rangle=\langle
\Phi'_{\lambda_n}(u_n), u_0 \rangle=0$ and the fact that 
$u_n\to u_0$ in $L^{p}(\mathbb{R}^N)$ for $2\leq p< 2_{\ast}$, we have
\[
\lim_{n\to \infty}\|u_n\|_{\lambda_n}^{2}=\lim_{n\to \infty}(u_n,
u_0)_{\lambda_n}=\lim_{n\to \infty}(u_n,
u_0)=\|u_0\|^{2};
\]
therefore
\[
\limsup_{n\to\infty}\|u_n\|^{2}\leq
\|u_0\|^{2}.
\]
On the other hand, the weakly lower semi-continuity of norm yields 
\[
\|u_0\|^{2}\leq \liminf_{n\to \infty} \|u_n\|^{2}.
\]
Hence,
\[
u_n\to u_0\quad \text{in } H^{2}(\mathbb{R}^N).
\]
From \eqref{3.1}, we have
\[
\frac{1}{2} \int_{\Omega}\left(|\Delta u_0|^{2}+|\nabla
u_0|^{2}\right)\,dx-\int_{\Omega}F(x, u_0)\,dx\leq \tilde{c}<0,
\]
which implies that $u_0\neq 0$. This completes the proof.
\end{proof}

\subsection*{Acknowledgments}
This work was supported by the
 Hunan Provincial Innovation Foundation For Postgraduate
 (No.  CX2014A003) and by
 the NNSF (Nos. 11171351, 11471278, 11301297, 11261020).


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\end{document}
