\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2016 (2016), No. 75, pp. 1--15.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu}
\thanks{\copyright 2016 Texas State University.}
\vspace{9mm}}

\begin{document}
\title[\hfilneg EJDE-2016/75\hfil Semi-classical states]
{Semi-classical states for Schr\"odinger-Poisson systems on
$\mathbb{R}^3$}

\author[H. Zhu \hfil EJDE-2016/75\hfilneg]
{Hongbo Zhu}

\address{Hongbo Zhu \newline
School of Mathematics and Statistics,
Central China Normal University,
Wuhan 430079, China. \newline
School of Applied Mathematics,
Guangdong University of Technology,
Guangzhou 510006, China}
\email{zhbxw@126.com}

\thanks{Submitted August 14, 2015. Published March 17, 2016.}
\subjclass[2010]{35B38, 35J20, 35J50}
\keywords{Schr\"odinger-Poisson system; semi-classical states; 
variational method}

\begin{abstract}
 In this article, we study the  nonlinear
 Schr\"{o}dinger-Poisson equation
 \begin{gather*}
 -\epsilon^{2}\Delta u+V(x) u+\phi(x)u=f(u), \quad
 x\in{\mathbb{R}^{3}},  \\
 -\epsilon^{2}\Delta\phi=u^{2},\quad  \lim_{|x|\to\infty}\phi(x)=0\,.
 \end{gather*}
 Under suitable assumptions on $V(x)$ and $f(s)$, we prove the
 existence of ground state solution  around local minima of
 the potential $V(x)$ as $\epsilon\to0$. Also, we show the
 exponential decay of ground state solution.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{remark}[theorem]{Remark}
\allowdisplaybreaks

\section{Introduction}

Consider the  nonlinear Schr\"{o}dinger equation:
\begin{equation}
i\epsilon\frac{\partial\psi}{\partial
t}=-\epsilon^{2}\Delta\psi+\tilde{V}\psi-f(\psi)\label{1.1}
\end{equation}
coupled with the Poisson equation
\begin{equation}
-\epsilon^{2}\Delta\phi=|\psi|^{2},\label{1.2}
\end{equation}
where $\epsilon$ is the planck constant, $i$ is the imaginary unit
and $\tilde{ V},\psi$ are real functions on $\mathbb{R}^3$ and
represent the effective potential and electric  potential
respectively. $\psi(x,t)\to \mathbb{C}$ and $f$ is supposed
to satisfy $f(\alpha e^{i\theta})=f(\alpha)e^{i\theta}$ for all
$\theta,\alpha\in\mathbb{R}$. Problem \eqref{1.1}, \eqref{1.2} arose
from semiconductor theory; see e.g, \cite{apa,bf,oj} and
the references therein for more physical background.

We are interested in standing wave solutions, namely solutions of
form $\psi(x,t)=u(x)\exp(i\omega t/\epsilon)$ with $u(x)>0$ in
$\mathbb{R}^{3}$ and $\omega>0$ (the frequency), then it is not
difficult to see that $u(x)$ must satisfy
\begin{equation}
\begin{gathered}
-\epsilon^{2}\Delta u+V(x) u+\phi(x)u=f(u), \quad  x\in{\mathbb{R}^{3}},  \\
-\epsilon^{2}\Delta\phi=u^{2},\lim_{|x|\to\infty}\phi(x)=0.
\end{gathered}\label{1.3}
\end{equation}

An interesting class of solutions of \eqref{1.3}, sometimes called
semi-classical states, are families solutions $u_{\epsilon}(x)$
which concentrate and develop a spike shape around one, or more,
special points in $\mathbb{R}^{3}$, which vanishing elsewhere  as
$\epsilon\to0$.

Similar equations have been studied extensively by many authors
concerning existence, non-existence, multiplicity when the
nonlinearity $f(u)=u^{p}$, $1<p<5$ and we cite a couple of them.
 In \cite{iv2,iv1}, the authors proved the existence of 
radially symmetric solutions concentrating on the spheres, and
in \cite{iv3}, there is a positive  bound state solution
concentrating on the local minimum of the potential $V$. The
existence of radial solution was obtained in \cite{td1} for the case
$3\leq p<5$. In \cite{td3}, the authors constructed positive
radially symmetric bound states of $\eqref{1.3}$ with
$1<p<11/7$. In \cite{td2}, a related Pohoz\v{a}ev
identity was established and the authors showed that \eqref{1.3} has
nontrivial solutions in the case $0\leq p<1$ or $p\geq5$. In
\cite{ar,gm,ruiz2}, the authors proved the
existence of infinity many radially symmetric solutions. 
 Ruiz and Vaira \cite{ruiz3} proved the existence of multi-bump
solutions whose bumps concentrating around a local minimum of the
potential. Also, there are a lot of results on
Schr\"{o}dinger-Poisson systems with general classes of nonlinear
terms. In \cite{sun}, existence and nonexistence nontrivial
solutions of Schr\"{o}dinger-Poisson system with sign-changing
potential were obtained by using variational methods. 
 Sun,  Wu and  Feng \cite{sun1}  studied the multiplicity
of positive solutions for a nonlinear Schr\"{o}dinger-Poisson system
when the nonlinearity $f(x,u)=Q(x)|u|^{p-2}u, 2<p<6$; furthermore,
they  showed that the number of positive solutions was dependent
of the profile of $Q(x)$. In \cite{wangzhou}, the authors proved the
existence and nonexistence solutions of Schr\"{o}dinger-Poisson
system with an asymptotically linear nonlinearity. In
\cite{zhaolei}, existence and multiplicity results were established.
We refer to
\cite{me,ar,azz,pd,apg,bc,gm,gm1,hw,ruiz1}
for some more results on this subject.


Recently, semi-classical states for Schr\"{o}dinger-Poisson systems
with much more general nonlinear term have been object of interest
 for many authors. 
Bonheure, Di Cosmo and Mercuric \cite{bc} proved the existence the
solutions for the weighted nonlinear Schr\"{o}dinger-Poisson systems
whose bumps concentrating around a circle. 
He and Zou \cite{hw} showed the existence and concentration of ground states for
Schr\"{o}dinger-Poisson equations with critical growth.

But, in most of the above papers, the potential $V(x)$  either has a
limit at infinity, or is required to be radial symmetry respect to
$x$. Motivated by some related works, the aim of this paper is to
study the existence of solution of \eqref{1.3} concentrating on a
given set of local minima of $V(x)$. We take the penalization
arguments going back to del Pino and Felmer \cite{d} to a wider
class of the potentials $V(x)$ and nonlinearity $f(s)\in
C^{1}(\mathbb{R},\mathbb{R})$.

In this article, we use the following assumptions:
\begin{itemize}
\item[(A1)] $V(x)\geq V_0>0$ for all $x\in\mathbb{R}^3$.

\item[(A2)] $f(s)=o(s^{3})$ as $s\to0$.

\item[(A3)] There exists $q\in(3,5)$ such that
$\lim_{s\to+\infty} f(s)/s^{q}=0$.

\item[(A4)] There exists some $4<\theta<q+1$ such that
$$
0< \theta F(s)=\theta\int_0^{s}f(t)dt\leq f(s)s \quad\text{for all }
s>0.
$$

\item[(A5)] For all $x\in \mathbb{R}^{3}$, $f(x, s)/s $ is
nondecreasing in $s\geq0$.

\end{itemize} 
The main result of this paper reads as follows.

\begin{theorem} \label{thm1.1} 
Assume that {\rm (A1)--(A5)} hold, and that there is a bounded 
and compact domain $\Lambda$ in $\mathbb{R}^{3}$ such that
$$
\inf_{{x\in\Lambda}}V(x)<\min_{{x\in\partial\Lambda}}V(x).
$$
Then there exists $\epsilon_0>0$ such that for any
$\epsilon\in(0,\epsilon_0)$, problem \eqref{1.3} has a positive
solution $u_{\epsilon}$. Moreover, $u_{\epsilon}$ has at most one
local (hence global) maximum $x_{\epsilon}\in\Lambda$ such that
$$
\lim_{\epsilon\to0}V(x_{\epsilon})=V_0.
$$
Also, there are constants $C,c>0$ such that
\begin{equation}
u_{\epsilon}(x)\leq
C\exp(-c\frac{x-x_{\epsilon}}{\epsilon}).\label{**}
\end{equation}
\end{theorem}

\begin{remark} \label{rmk2} \rm
(i) We point out that no restriction on the global behavior of
$V(x)$ is required other than condition (A1). This is an
improvement on some previous works, see, e.g.,\cite{bc} \cite{hw}
and references therein.

(ii) Condition (A5) holds if $f(s)/s^{3}$ is an increasing
function of $s>0$. In fact, that $f(s)/s^{3}$ is
increasing is required in \cite{hw}.
\end{remark}


This article is organized as follows: 
In section2, influenced by the
work of del Pino and Felmer \cite{d}, we introduce a modified
functional for any $\epsilon>0$ and show it has a ground state
solution $u_{\epsilon}(x)$. 
In Section3, we give the uniform
boundedness of $\max_{x\in\partial\Lambda}u_{\epsilon}(x)$
and the critical value $ c_{\epsilon}$ when $\epsilon$ goes to zero.
In section4, we show the critical point of the modified
functional which satisfies the original problem \eqref{1.3}, and
investigate its concentration and
 exponential decay behavior, which completes the proof
 Theorem \ref{thm1.1}.

Hereafter we use the following notation:

\noindent$\bullet$ $H^{1}(\mathbb{R}^{3})$ is usual Sobolev space endowed with
the standard scalar product and norm
$$
(u,v)=\int_{\mathbb{R}^{3}}(\nabla u\nabla v+uv)dx;\|u\|^{2}
=\int_{\mathbb{R}^{3}} (|\nabla u|^{2}+u^{2})dx.
$$

\noindent$\bullet$ $D^{1,2}(\mathbb{R}^{3})$ is the completion of
$C_0^{\infty}(\mathbb{R}^{3})$ with respect to the norm
$$
\|u\|^{2}_{D^{1,2}(\mathbb{R}^{3})}=\int_{\mathbb{R}^{3}}|\nabla u|^{2}dx.
$$
$\bullet$ $H^{-1}$ denotes the dual space of
$H^{1}(\mathbb{R}^{3})$.

\noindent$\bullet$ $L^{q}(\Omega),1\leq q
\leq+\infty,\Omega\subseteq\mathbb{R}^{3}$, denotes a Lebesgue
space, the norm in $L^{q}(\Omega)$ is denoted by $|u|_{q,\Omega}$.

\noindent$\bullet$ For any $R>0$ and for any $y\in\mathbb{R}^{3}, B_{R}(y)$
denotes the ball of radius $R$ centered at $y$.

\noindent$\bullet$ $C,c$ are various positive constants.

\noindent$\bullet$ $o(1)$ denotes the quantity which tends to zero as
$n\to\infty$.

It is well known  that for every $u\in H^{1}(\mathbb{R}^{3})$, the
Lax-Milgram theorem implies that there exists a unique $\phi_{u}\in
D^{1,2}(\mathbb{R}^{3})$ such that
$$
\int_{\mathbb{R}^{3}}\nabla\phi_{u}\nabla vdx
=\int_{\mathbb{R}^{3}}u^{2}dx,\quad \forall v\in D^{1,2}(\mathbb{R}^{3}),
$$
where $\phi_{u}$ is a weak solution of $-\Delta \phi=u^{2}$ with
$$
\phi_{u}(x)=\int_{\mathbb{R}^{3}}\frac{u^{2}(y)}{|x-y|}dy.
$$
Substituting $\phi_{u}$ in \eqref{1.3}, we can rewrite \eqref{1.3}
as the  equivalent equation
\begin{equation}
-\epsilon^{2}u+V(x)u+\epsilon^{-2}\phi_{u}u=f(u). \label{2.1}%
\end{equation}
Let
$$
H=\{u\in H^{1}(\mathbb{R}^{3}):\int_{\mathbb{R}^{3}}V(x)u^{2}dx<+\infty\}
$$
be the Sobolev space endowed  with the norm
$$
\|u\|_{\epsilon}^{2}=\int_{\mathbb{R}^{3}}(\epsilon^{2}|\nabla u|^{2}+V(x)u^{2})dx.
$$
We see that \eqref{2.1} is variational and its solutions are the
critical points of the functional
\begin{equation}
I_{\epsilon}(u)=\frac{1}{2}\int_{\mathbb{R}^{3}}(\epsilon^{2}
|\nabla u|^{2}+V(x)u^{2})dx 
+ \frac{1}{4\epsilon^{2}}\int_{\mathbb{R}^{3}}\phi_{u}(x)u^{2}dx
-\int_{\mathbb{R}^{3}}F(u)dx.\label{2.2}
\end{equation}
Clearly, under the hypotheses (A2)--(A5), we see that
$I_{\epsilon}$ is well-defined $C^{1}$ functional. In the following
proposition, we summarize some properties of $\phi_{u}$, which are
useful to study our problem.

\begin{proposition}[\cite{cg}] \label{pro} 
For any $u\in H^{1}(\mathbb{R}^{3})$, we have
\begin{itemize}
\item[(i)] $\phi_{u}: H^{1}(\mathbb{R}^{3})\to
D^{1,2}(\mathbb{R}^{3})$ is continuous, and maps bounded sets into
bounded sets;

\item[(ii)] if $u_{n}\rightharpoonup u$ in $H^1({\mathbb{R}^{3}})$, then
$\phi_{u_{n}}\rightharpoonup\phi_{u}$ in $D^{1,2}(\mathbb{R}^{3});$

\item[(iii)] $\phi_{u}\geq0, \|\phi_{u}\|_{D^{1,2}(\mathbb{R}^{3})}$, and
$\int_{\mathbb{R}^{3}}\phi_{u}u^{2}dx\leq C\|u\|^{4}$;

\item[(iv)] $\phi_{tu}(x)=t^{2}\phi_{u}$ for all $t\in \mathbb{R}$.
\end{itemize}
\end{proposition}


\section{Solution of the modified equation}

In this section, we  find a solution $u_{\epsilon}$ of problem
\eqref{1.3} concentrating on a given set $\Lambda$, we modify the
nonlinearity $f(s)$. Here we follow an approach used by del Pino
and Felmer \cite{d}.

Let $k>\frac{\theta}{\theta-4}$, $a>0$ be such that
$\frac{f(a)}{a}=\frac{V_0}{k}$, and set
\begin{equation}
\tilde{f}(s)= \begin{cases}
f(s),  &\text{if }s\leq a, \\
\frac{V_0}{k}s, & \text{if } s>a,
\end{cases} \label{3.1}
\end{equation}
and define
\begin{equation}
g(.,s)=\chi_{\Lambda}f(s)+(1-\chi_{\Lambda})\tilde{f}(s),\label{3.2}
\end{equation}
where $\Lambda$ is the bounded domain as in the assumptions of
Theorem\ref{thm1.1}, and $\chi_{\Lambda}$ denotes its characteristic
function. It is easy to check that $g(x,s)$ satisfies the following
assumptions:
\begin{itemize}
\item[(A6)] $g(x,s)=o(s^{3})$ as $s\to0$.

\item[(A7)] There exists $q\in(3,5)$ such that
$\lim_{s\to+\infty}\frac{g(x,s)}{s^{q}}=0$.

\item[(A8)] There exists a bounded subset $K$ of $\mathbb{R}^{3}$,
int$(K)\neq\emptyset$ such that
\begin{gather*}
0<\theta G(x,s)\leq g(x,s)s\quad \text{for all } x\in K,s>0, \\
0\leq2G(x,s)\leq g(x,s)s\leq\frac{1}{k}V(x)s^{2} \quad\text{for all }
s>0,x\in K^{c}.
\end{gather*}

\item[(A9)] The function $\frac{g(x,s)}{s}$ is increasing for $s>0$.

\end{itemize}
Now, we consider the  modified equation
\begin{equation}
\begin{gathered}
-\epsilon^{2}\Delta u+V(x)u+\phi(x)u=g(x,s), \quad x\in\mathbb{R}^{3}, \\
-\epsilon^{2}\Delta\phi=u^{2},
\end{gathered}\label{3.3}
\end{equation}
where $V$ satisfies condition (A1), and $g$ satisfies
(A6)--(A9). Here we have set $\epsilon=1$ for notational
simplicity.

The functional associated with \eqref{3.3} is 
\begin{equation}
J(u)=\frac{1}{2}\int_{\mathbb{R}^{3}}(|\nabla u|^{2}+V(x)u^{2})dx
+\frac{1}{4}\int_{\mathbb{R}^{3}}\phi_{u}(x)u^{2}dx
-\int_{\mathbb{R}^{3}}G(x,u)dx,
\label{3.4}
\end{equation}
which is of class  $C^{1}$ in $H$ with associated norm 
$\|\cdot\|_{H}$.

In the rest of this section, we show some lemmas related to the
functional $J$. First, we show the functional $J$ satisfying the
mountain pass geometry.

\begin{lemma}\label{lem3.1}
The functional $J$ satisfies the following conditions:
\begin{itemize}
\item[(i)] There exist $\alpha,\rho>0$ such that $J(u)\geq\alpha$ for all
$\|u\|_{H}=\rho$.

\item[(ii)] There exists $e\in B_{\rho}^{c}(0)$ with $J(e)<0$.
\end{itemize}
\end{lemma}

\begin{proof} (i) For any $u\in H\backslash\{0\}$ and
$\varepsilon>0$, by (A2) and (A3)  there
exists $C(\varepsilon)>0$ such that
$$
|f(s)|\leq\varepsilon|s|+C_{\varepsilon}|s|^{q}, \quad \forall s\in \mathbb{R}.
$$
By the Sobolev embedding $H\hookrightarrow L^{p}(\mathbb{R}^{3})$, with
$p\in[2,6]$, we have
\begin{align*}
J(u)
&\geq \frac{1}{2}\|u\|_{H}^{2}-\int_{\mathbb{R}^{3}}[\chi_{\Lambda}(x)F(u)
 +(1-\chi_{\Lambda}(x))\tilde{F}(u)]dx\\
&\geq \frac{1}{2}\|u\|_{H}^{2}-\int_{\mathbb{R}^{3}}F(u)dx\\
&\geq \frac{1}{2}\|u\|_{H}^{2}-\frac{\varepsilon}{2}\int_{\mathbb{R}^{3}}|u|^{2}dx
 -\frac{C_{\varepsilon}}{q+1}|u|^{p+1}dx\\
&\geq \frac{1}{2}\|u\|_{H}^{2}-C_{1}\varepsilon\|u\|_{H}^{2}
 -C_{2}C_{\varepsilon}\|u\|_{H}^{p+1}.
\end{align*}
Since $\varepsilon$ is arbitrarily small,  we can choose 
constants $\alpha,\rho$ such that $J(u)\geq\rho>0$ for all
$\|u\|_{H}=\rho$.

(ii) By (A4), we have $F(s)\geq Cs^{\theta}-C$ for all $t>0$,
Choosing $u\in H\backslash\{0\}$ not negative, with its support
contained in the set $K$, we see that
\begin{align*}
J(tu)&=\frac{t^{2}}{2}{\|u\|_{H}^{2}}
+\frac{t^{4}}{4}\int_{\mathbb{R}^{3}}\phi_{u}u^{2}dx
-\int_{\mathbb{R}^{3}}G(x,tu)dx\\
&\leq \frac{t^{2}}{2}{\|u\|_{H}^{2}}
+\frac{t^{4}}{4}\int_{\mathbb{R}^{3}}\phi_{u}u^{2}dx-Ct^{\theta}
\int_{K}u^{\theta}dx+C|K|
<0
\end{align*}
for some $t>$ large enough. So, we can choose $e=t^{*}u$ for some
$t^{*}>0$, and (ii) follows.

By lemma \ref{lem3.1} and the mountain pass theorem, there is a
$(PS)_{c}$ sequence $\{u_{n}\}\subset H$ such that
$J(u_{n})\to c$ in $H^{-1}$ with the minmax value
\begin{equation}
c=\inf_{\gamma\in\Gamma}\max_{0\leq
t\leq1}J(\gamma(t)),
\label{3.5}
\end{equation}
where
$$
\Gamma:=\{\gamma\in C([0,1],H):\gamma(0)=0, J(\gamma(1))<0\}.
$$
\end{proof}

\begin{lemma}\label{lem3.2}
Let $\{u_{n}\}\subset H$ be a $(PS)_{c}$ sequence for $c>0$. Then
$u_{n}$ has a convergent subsequence.
\end{lemma}

\begin{proof} First, we show that $\{u_{n}\}$ is bounded in $H$. In
fact, using $(A8)$ we easily see that
\begin{gather}
\int_{\mathbb{R}^{3}}(|\nabla
u_{n}|^{2}+V(x)u_{n}^{2})dx+\int_{\mathbb{R}^{3}}\phi_{u_{n}}u_{n}^{2}dx
\geq\int_{K}g(x,u_{n})u_{n}dx+o(\|u_{n}\|_{H}).
\label{3.6}
\\
\begin{aligned}
&\frac{1}{2}\int_{\mathbb{R}^{3}}(|\nabla u_{n}|^{2}+V(x)u_{n}^{2})dx
+\frac{1}{4}\int_{\mathbb{R}^{3}}\phi_{u_{n}}u_{n}^{2}dx\\
&=\int_{\mathbb{R}^{3}}G(x,u_{n})dx+O(1) \\
&\leq \int_{K}G(x,u_{n})dx +\frac{1}{2k}\int_{K^{c}}V(x)u_{n}^{2}dx+O(1)
\end{aligned}\label{3.7}
\end{gather}
Thus, from \eqref{3.6} \eqref{3.7} and (A8) we find
\begin{equation}
\frac{2}{k}\int_{K^{c}}V(x)u_{n}^{2}dx+o(\|u_{n}\|_{H})+O(1)
\geq(1-\frac{2}{k})\int_{\mathbb{R}^{3}}(|\nabla
u_{n}|^{2}+V(x)u_{n}^{2})dx .\label{3.8}
\end{equation}
Then, it follows from the choice of $k$ in $(A8)$ that
$\{u_{n}\}$ is bounded in $H$.

Then there is a subsequence, still denoted by $\{u_{n}\}$ such that
$u_{n}\rightharpoonup u$ weakly in $H$. We now prove this
convergence is actually strong. In deed, it suffices to show that,
given $\delta>0$, there is an $R>0$ such that
\begin{equation}
\limsup_{n\to\infty}\int_{B_{R}^{c}}(|\nabla
u_{n}|^{2}+V(x)u_{n}^{2})dx\leq\delta.\label{3.9}
\end{equation}
Let $\xi_{R}(x)\in C^{\infty}(\mathbb{R}^{3},\mathbb{R})$ be a
cut-off function such that $0\leq\xi_{R}\leq1$ and
$$
\xi_{R}(x)=\begin{cases}
0  &\text{for } |x|\leq\frac{R}{2},  \\
1, &\text{for } |x|\geq R
\end{cases}
$$ 
and $|\nabla\xi_{R}(x)|\leq\frac{C}{R}$ for all
$x\in\mathbb{R}^{3}$. Moreover we may assume that $R$ is chosen so
that $K\subset B_{\frac{R}{2}}$. Since $\{u_{n}\}$ is a bounded
$(PS)_{c}$ sequence, we have that
\begin{equation}
\langle J'(u_{n}),\xi_{R}u_{n}\rangle=o(1),\label{3.10}
\end{equation}
so that
\begin{equation}
\begin{aligned}
&\int_{\mathbb{R}^{3}}(|\nabla
u_{n}|^{2}+V(x)u_{n}^{2})dx+\int_{\mathbb{R}^{3}}u_{n}\nabla
u_{n}\nabla\xi_{R}dx+\int_{\mathbb{R}^{3}}\phi_{u_{n}}u_{n}\xi_{R}dx \\
&=\int_{\mathbb{R}^{3}}g(x,u_{n})u_{n}\xi_{R}dx+o(1)
\leq\frac{1}{k}\int_{\mathbb{R}^{3}}V(x)u_{n}^{2}\xi_{R}dx+o(1).
\end{aligned} \label{3.11}
\end{equation}
We conclude that
\begin{equation}
\int_{B_{R}^{c}}V(x)u_{n}^{2}dx
\leq\frac{C}{R}\|u_{n}\|_{L^{2}(\mathbb{R}^{3})}\|\nabla
u_{n}\|_{L^{2}(\mathbb{R}^{3})},\label{3.12}
\end{equation}
from where \eqref{3.9} follows.
\end{proof}

Lemma \ref{lem3.1} implies that $c$ defined in \eqref{3.5} is a
critical value of $J$.

\begin{remark} \label{rmk3} \rm
Similar to the proof of lemma \ref{lem3.2}, it is not difficult to
see that $c$ can be characterized as
$$
c=\inf_{u\in H\backslash\{0\}}\sup_{t\geq0}J(tu).
$$
\end{remark}

Since the modified function $g$ satisfies assumptions
(A6)--(A9),  the results of the above yield the following
lemma.

\begin{lemma}\label{lem3.4}
For any $\epsilon>0$, there exists a critical point for
$J_{\epsilon}$ at level
\begin{equation}
J_{\epsilon}(u_{\epsilon})=c_{\epsilon}
=\inf_{\gamma_{\epsilon}\in\Gamma}\max_{0\leq
t\leq1}J_{\epsilon}(\gamma(t)),\label{3.13}
\end{equation}
where
\begin{equation}
\begin{gathered}
\Gamma_{\epsilon}:=\{\gamma\in C([0,1],H):\gamma(0)=0,
J_{\epsilon}(\gamma(1))<0\},\label{3.14}
\\
J_{\epsilon}(u)=\frac{1}{2}\int_{\mathbb{R}^{3}}
(\epsilon^{2}|\nabla u|^{2}+V(x)u^{2})dx
+\frac{1}{4\epsilon^{2}}\int_{\mathbb{R}^{3}}\phi_{u}u^{2}dx
-\int_{\mathbb{R}^{3}}G(x,u)dx.
\end{gathered}
\end{equation}
\end{lemma}

\section{Some estimates}

To show that the solution $u_{\epsilon}$ found in lemma
\ref{lem3.4} satisfies the original problem and concentrates at
some point in $\Lambda$, we need to study the behavior of
$u_{\epsilon}$ as $\epsilon\to0$. We begin with an energy
estimate.

\begin{proposition}[Upper estimate of the critical value] \label{pro3.5} 
For $\epsilon$ small enough, the critical value
$c_{\epsilon}$ defined \eqref{3.13} satisfies
\begin{equation}
c_{\epsilon}=J_{\epsilon}(u_{\epsilon})\leq\epsilon^{3}(c_0+o(1))
\quad \text{as }  \epsilon\to 0.\label{3.15}
\end{equation}
Moreover, there exists $C>0$ such that
\begin{equation}
\int_{\mathbb{R}^{3}}(\epsilon^{2}|\nabla
u_{\epsilon}|^{2}+V(x)u_{\epsilon}^{2})dx
\leq C\epsilon^{3}.\label{3.16}
\end{equation}
\end{proposition}

\begin{proof}
Set $V_0=\min_{\Lambda}V=V(x_0)$, and let
\begin{equation}
c_0:=\inf_{\gamma\in\Gamma}\max_{0\leq t\leq1}I_0(\gamma(t)), \label{3.17}
\end{equation}
where
\begin{gather*}
I_0(u)=\frac{1}{2}\int_{\mathbb{R}^{3}}(|\nabla u|^{2}+V_0u^{2})dx
+ \frac{1}{4}\int_{\mathbb{R}^{3}}\phi_{u}u^{2}dx
 -\int_{\mathbb{R}^{3}}F(u)dx,\\
\Gamma:=\{\gamma\in C([0,1],H^{1}(\mathbb{R}^{3})):
\gamma(0)=0, I_0(\gamma(1))<0\}.
\end{gather*}
From \eqref{3.17}, for any $\delta>0$, there exists a continuous
path $\gamma_{\delta}:[0,1]\to H^1({\mathbb{R}^{3}})$ such
that $\gamma_{\delta}(0)=0, I_0(\gamma_{\delta}(1))<0$ and
$$
c_0\leq\max_{0\leq t\leq1}I_0(\gamma_{\delta}(t))\leq c_0+\delta.
$$
Let $\eta$ be a smooth cut-off function with support in $\Lambda$
such that $0\leq\eta\leq1,\eta=1$ in a neighborhood of $x_0$ and
$|\nabla\eta|\leq C$. We consider the path
$$
\bar{\gamma_{\delta}}(t)(x)=\eta(x)\gamma_{\delta}(t)(\frac{x-x_0}{\epsilon}).
$$
Setting
$$
\bar{\gamma_{\delta}}(t)(x):=v_{t}(\frac{x-x_0}{\epsilon}), 
$$
we compute, by a charge of variable
\begin{equation}
\begin{aligned}
&\frac{1}{2}\int_{\mathbb{R}^{3}}[\epsilon^{2}|\nabla
\bar{\gamma_{\delta}}(t)|^{2}+V(x)\bar{\gamma_{\delta}}(t)^{2}]dx
 -\int_{\mathbb{R}^{3}}G(x,\bar{\gamma_{\delta}}(t))dx \\
&=\epsilon^{3}\frac{1}{2}[|\nabla v_{t}(x)|^{2}+V(x_0+\epsilon
x)v_{t}^{2}(x)]dx-\epsilon^{3}\int_{\mathbb{R}^{3}}G(x_0+\epsilon
x, v_{t}(x))dx.
\end{aligned}
\end{equation}
The Hardy-Littlewood Sobolev inequality leads to
\begin{align*}
\int_{\mathbb{R}^{3}}
\phi_{\bar{\gamma_{\delta}}(t)(x)}\bar{\gamma_{\delta}}(t)(x)^{2}dx
&=\int_{\mathbb{R}^{3}}\Big[\int_{\mathbb{R}^{3}}
 \frac{\bar{\gamma_{\delta}}(t)(y)^{2}}{|x-y|}\bar{\gamma_{\delta}}(t)dy\Big]dx\\
&=\epsilon^{5}\int_{\mathbb{R}^{3}}
 \int_{\mathbb{R}^{3}}\frac{v_{t}^{2}(x)v_{t}^{2}(y)}{|x-y|}\,dx\,dy\\
&=\epsilon^{5} \int_{\mathbb{R}^{3}}\phi_{v_{t}}v_{t}^{2}dx.
\end{align*}
For $\epsilon$ small enough, we obtain
$$
\epsilon^{-3}J_{\epsilon}(\bar{\gamma_{\delta}}(t))\to I_0(\gamma_{\delta}(t))+o(1).
$$
It follows that $\epsilon$ small enough, $\bar{\gamma_{\delta}}$
belongs to the class of paths $\Gamma_{\epsilon}$ defined by
\eqref{3.14}. We deduce that
$$
\epsilon^{-3}c_{\epsilon}\leq \epsilon^{-3}
\max_{0\leq t\leq1}J_{\epsilon}(\bar{\gamma_{\delta}}(t))
\to\max_{0\leq t\leq1}I_0(\bar{\gamma_{\delta}}(t))+o(1)\leq(c_0+\delta)+o(1).
$$
Since $\delta>0$ is arbitrary,  \eqref{3.15} is proved.
\begin{equation}
\begin{aligned}
J_{\epsilon}(u_{\epsilon})
&=\frac{1}{2}\int_{\mathbb{R}^{3}}(\epsilon^{2}|\nabla
u_{\epsilon}|^{2}+V(x)u_{\epsilon}^{2})dx
+\frac{1}{4\epsilon^{2}}\int_{\mathbb{R}^{3}}\phi_{u_{\epsilon}}u_{\epsilon}^{2}dx
-\int_{\mathbb{R}^{3}}G(x,u_{\epsilon})dx \\
&= \frac{1}{2}\int_{\mathbb{R}^{3}}(\epsilon^{2}|\nabla
u_{\epsilon}|^{2}+V(x)u_{\epsilon}^{2})dx
 +\frac{1}{4\epsilon^{2}}\int_{\mathbb{R}^{3}}\phi_{u_{\epsilon}}u_{\epsilon}^{2}dx
-\int_{K}G(x,u_{\epsilon})dx \\
&\quad -\int_{\mathbb{R}^{3}\backslash\{K\}}G(x,u_{\epsilon})dx \\
&\geq \frac{1}{4}\int_{\mathbb{R}^{3}}(\epsilon^{2}|\nabla
u_{\epsilon}|^{2}+V(x)u_{\epsilon}^{2})dx
 -\frac{1}{2k}\int_{\mathbb{R}^{3}}V(x)u_{\epsilon}^{2}dx \\
&\geq (\frac{1}{4}-\frac{1}{2k})\int_{\mathbb{R}^{3}}(\epsilon^{2}|\nabla
u_{\epsilon}|^{2}+V(x)u_{\epsilon}^{2})dx,
\end{aligned} \label{3.19}
\end{equation}
where $C=\frac{1}{4}-\frac{1}{2k}>0$ thanks to the choice of $k$.
Combining \eqref{3.15} and \eqref{3.19}, it is easy to obtain
\eqref{3.16}.
\end{proof}

Next, we  give a proposition that is the crucial
step in the proof of Theorem \ref{thm1.1}.

\begin{proposition} \label{pro3.6}
\begin{equation}
\lim_{\epsilon\to0}\max_{\partial\Lambda}u_{\epsilon}(x)=0.\label{3.20}
\end{equation}
Moreover, for all $\epsilon$ sufficiently small enough,
$u_{\epsilon}$ possesses one local maximum $x_{\epsilon}\in\Lambda$
and we must have
\begin{equation}
\lim_{\epsilon\to0}V(x_{\epsilon})=V_0=\min_{x\in\Lambda}V(x).\label{3.21}%
\end{equation}
\end{proposition}

\begin{proof}
 To prove this proposition we establish that
If $\epsilon_{n}\to0$ and $x_{n}\in\Lambda$
are such that $u_{\epsilon_{n}}\geq b>0$, then
\begin{equation}
\lim_{n\to\infty}V(x_{n})=V_0.\label{3.22}
\end{equation}
We take three steps to prove this claim.
\smallskip

\noindent\textbf{Step1:} We argue by contradiction. Thus we assume, passing to a
subsequence, that $x_{n}\to x^{*}\in\bar{\Lambda}$ and
\begin{equation}
V(x^{*})>V_0.\label{3.23}
\end{equation}
We consider the sequence
$v_{n}(x)=u_{\epsilon_{n}}(x_{n}+\epsilon_{n}x)$.
A simple computation shows
$$
\epsilon^{2}\phi_{v_{n}}(x)=\phi_{u_{\epsilon_{n}}}(x_{n}+\epsilon_{n}x).
$$
The function $v_{n}$ satisfies the equation
\begin{equation}
-\Delta v_{n}+V(x_{n}+\epsilon_{n}x)v_{n}+\phi_{v_{n}}v_{n}
=g(x_{n}+\epsilon_{n}x,v_{n}), x\in \Omega_{n},\label{3.23b}
\end{equation}
where $\Omega_{n}=\epsilon_{n}^{-1}\{H-x_{n}\}$. As a consequence of
\eqref{3.16}, we see that $v_{n}$ is bounded in
$H^1({\mathbb{R}^{3}})$, and from elliptic estimates, we deduce that
there exists $v\in H^1({\mathbb{R}^{3}})$ such that
$$
v_{n}\to v \quad\text{in } C^{2}_{\rm loc}(\mathbb{R}^{3}).
$$
Let $\chi_{n}(x)=\chi_{\Lambda}(x_{n}+\epsilon_{n}x)$, then
$\chi_{n}(x)\rightharpoonup \chi$ in any $L^{p}(\mathbb{R}^{3})$
over compacts with $0\leq \chi\leq1$. Now, we claim that
$$
\int_{\mathbb{R}^{3}}\phi_{v_{n}}v_{n}\varphi dx
\to\int_{\mathbb{R}^{3}}\phi_{v}v\varphi dx\quad
 \text{for any }\varphi\in C _0^{\infty}(\mathbb{R}^{3}).
$$
In fact, we can assume $\operatorname{support}\varphi\subset\Omega$, where
$\Omega$ is a bounded domain. Then
\begin{align*}
&|\int_{\mathbb{R}^{3}}\phi_{v_{n}}v_{n}\varphi
dx-\int_{\mathbb{R}^{3}}\phi_{v}v\varphi dx|\\
&= |\int_{\mathbb{R}^{3}}\phi_{v_{n}}(v_{n}-v)\varphi
dx+\int_{\mathbb{R}^{3}}(\phi_{v_{n}}-\phi_{v})v\varphi dx|\\
&\leq |\int_{\mathbb{R}^{3}}\phi_{v_{n}}(v_{n}-v)\varphi
dx|+|\int_{\mathbb{R}^{3}}(\phi_{v_{n}}-\phi_{v})v\varphi dx|\\
&\leq |\phi_{v_{n}}|_{L_{6}(\Omega)}|v_{n}-v|_{L_{2}(\Omega)}
 |\varphi|_{L_{3}(\Omega)}+o(1)\to o(1).
\end{align*}
Therefore, $v$ satisfies the limiting equation
\begin{equation}
-\Delta v+V(x^{*})v+\phi_{v}v=\bar{g}(x,v),\label{3.25}%
\end{equation}
where 
$$
\bar{g}(x,s)=\chi(x)f(s)+(1-\chi(x))\tilde{f}(s).
$$
Associated with  \eqref{3.25} we have functional
$\bar{J}:H^1({\mathbb{R}^{3}})\to\mathbb{R}$ defined as
\begin{equation}
\begin{aligned}
\bar{J}(u)
&=\frac{1}{2}\int_{\mathbb{R}^{3}}[|\nabla u|^{2}+V(x^{*})u^{2}]dx
 +\frac{1}{4} \int_{\mathbb{R}^{3}}\phi_{u}u^{2}dx\\
&\quad -\int_{\mathbb{R}^{3}}\bar{G}(x,u)dx, u\in H^1({\mathbb{R}^{3}}),
\end{aligned}\label{3.26}
\end{equation}
where $\bar{G}(x,s)=\int_0^{s}\bar{g}(x,t)dt$. Then $v$ is a
critical point of $\bar{J}$.
Set
\begin{align*}
J_{n}(u)
&=\frac{1}{2}\int_{\Omega_{n}}[|\nabla
u|^{2}+V(x_{n}+\epsilon_{n}x)u^{2}]dx
 +\frac{1}{4}\int_{\Omega_{n}}\phi_{u}u^{2}dx\\
&\quad -\int_{\Omega_{n}}G(x_{n}+\epsilon_{n}x,u)dx, u\in
H_0^{1}(\Omega_{n}).
\end{align*}
Then $J_{n}(v_{n})=\epsilon_{n}^{-3}J_{\epsilon_{n}}(u_{\epsilon_{n}})$.
So the key step in the proof of proposition is the following step.
\smallskip

\noindent\textbf{Step2:}
$\liminf_{n\to\infty}J_{n}(v_{n})\geq\bar{J}(v)$. In
particular, $\bar{J}(v)\leq c_0$, where $c_0$ is given by
\eqref{3.17}.

 Proof: Write
$$
h_{n}=\frac{1}{2}[|\nabla v_{n}|^{2}+V(x_{n}+\epsilon_{n}x)v_{n}^{2}]
+\frac{1}{4}\phi_{v_{n}}v_{n}^{2}-\bar{G}(x_{n}+\epsilon_{n}x,u).
$$
Then, choose $R>0$, since $v_{n}$ converges in the $C^{1}$ sense
over compacts to $v$, we have
$$
\lim_{n\to\infty}\int_{B_{R}}h_{n}dx
=\frac{1}{2}\int_{B_{R}}[|\nabla v|^{2}+V(x^{*})v^{2}]dx
+\frac{1}{4}\int_{B_{R}}\phi_{v}v^{2}dx-\int_{B_{R}}\bar{G}(x,v)dx.
$$
Since $v\in H^1({\mathbb{R}^{3}})$,  for each $\delta>0$, we have
\begin{equation}
\lim_{n\to\infty}\int_{B_{R}}h_{n}dx\geq\bar{J}(v)-\delta,\label{3.27*}
\end{equation}
provided that $R$ was chosen sufficiently large. Then it only
suffices to check that for large enough $R$
\begin{equation}
\lim_{n\to\infty}\int_{\Omega_{n}\backslash B_{R}}h_{n}dx
\geq-\delta.\label{3.27}
\end{equation}
For any fixed $R>0$, let $\xi_{R}(x)\in C_0^{\infty}(\mathbb{R}^{3},\mathbb{R})$ 
be a cut-off function such that
$$
\xi_{R}(x)=\begin{cases}
0  &\text{for } |x|\leq R-1, \\
1, &\text{for } |x|\geq R,
\end{cases}
$$
and $|\nabla \xi_{R}(x)|\leq\frac{C}{R}$ for all
$x\in\mathbb{R}^{3}$ and $C>0$ is a constant.

We use $w_{n}=\xi_{R}v_{n}\in H^{1}(\Omega_{n})$ as a test function
for $J'_{n}(v_{n})=0$ to obtain
\begin{equation}
\begin{aligned}
0=J'_{n}(v_{n})w_{n}
&= E_{n}+\int_{\Omega_{n}\backslash
 B_{R}}(2h_{n}+g_{n})dx+\int_{\Omega_{n}\backslash
 B_{R}}\phi_{v_{n}}v_{n}^{2}dx \\
&\leq E_{n}+\int_{\Omega_{n}\backslash
B_{R}}2h_{n}dx+\int_{\Omega_{n}\backslash
B_{R}}\phi_{v_{n}}v_{n}^{2}dx,\label{3.28}
\end{aligned}
\end{equation}
where
$g_{n}=2G(x_{n}+\epsilon_{n}x,v_{n})-g(x_{n}+\epsilon_{n}x,v_{n})v_{n}$,
and $E_{n}$ is given by
\begin{equation}
\begin{aligned}
E_{n}
&=\int_{B_{R}\backslash B_{R-1}}[\nabla v_{n}\nabla(\xi_{R}v_{n})
 +V(x_{n}+\epsilon_{n}x)\xi_{R}v_{n}^{2}
 +\phi_{v_{n}}v_{n}^{2}\xi_{R}]dx \\
&= \int_{B_{R}\backslash
B_{R-1}}g(x_{n}+\epsilon_{n}x,v_{n})\xi_{R}v_{n}dx.
\end{aligned} \label{3.29}
\end{equation}
Since $v_{n}$ is bounded in $H^1({\mathbb{R}^{3}})$, it follows that
$\int_{\mathbb{R}^{3}}\phi_{v_{n}}v_{n}^{2}dx\leq C\|u_{n}\|^{4}$.
The fact that $v\in H^1({\mathbb{R}^{3}})$ implies that for given
$\delta>0$, there exists $R>0$ sufficiently large such that
$$
\lim_{n\to\infty}|E_{n}|\leq\delta, \quad
\int_{\Omega_{n}\backslash B_{R}}\phi_{v_{n}}v_{n}^{2}dx\leq\delta.
$$
On the other hand, the definition of $g$ together with the
properties of $f$ give that $g_{n}\leq0$. Using this in
\eqref{3.28}, \eqref{3.27} follows, and the proof of  step2 is
complete.
\smallskip

\noindent\textbf{Step3:} 
Now, we are ready to obtain a contradiction with
\eqref{3.22}. Since $v$ is a critical point of $\bar{J}$, and
$\bar{g}$ satisfies $(A9)$, we have that
\begin{equation}
\bar{J}(v)=\max_{t>0}\bar{J}(tv).\label{3.30}%
\end{equation}
Then since $f(s)\geq \tilde{f}(s)$ for all $s>0$ we have 
\begin{equation}
\bar{J}(v)\geq\inf_{u\in H^1({\mathbb{R}^{3}})\backslash\{0\}}
\sup_{\tau>0}I^{*}(\tau u)\Delta q c^{*},\label{3.31}
\end{equation}
where 
\begin{equation}
I^{*}(u)=\frac{1}{2}\int_{\mathbb{R}^{3}}[|\nabla u|^{2}+V(x^{*})u^{2}]dx
+ \frac{1}{4}\int_{\mathbb{R}^{3}}\phi_{u}u^{2}dx
 -\int_{\mathbb{R}^{3}}F(u)dx.\label{3.32}
\end{equation}
But, since $V(x^{*})>V_0$, we have $c^{*}>c_0$; hence
$\bar{J}(v)>c^{*}$, which contradicts step 2, and the proof of the
claim, i.e. \eqref{3.22} is follows.

To conclude the proof of proposition \ref{pro3.6}, we show that
$u_{\epsilon}$ has at most one maximum point in $\Lambda$. The
proofs rely on the the arguments carried out in step2 and so we 
sketch it. By contradiction, assume that, the existence of sequence
$\epsilon_{n}\to0$ such that $u_{\epsilon_{n}}$ has two
distinct maxima $x_{n}^{1}$ and $x_{n}^{2}$ in $\Lambda$. Set
$v_{n}(x)=u_{\epsilon_{n}}(x_{n}^{1}+\epsilon_{n}x)$, and it is easy
to check that $\epsilon_{n}^{-1}(x_{n}^{2}-x_{n}^{1})$ is a maximum
point of $v_{n}(x)$, two cases occur.
\smallskip

\noindent\textbf{Case 1:}
 $\epsilon_{n}^{-1}(x_{n}^{2}-x_{n}^{1})$ is bounded.
From \eqref{3.16} and elliptic estimates, up to a subsequence,
$v_{n}\to v$ uniformly over compacts, where 
$v\in H^{1}(\mathbb{R}^{3})$ maximizes at zero and solves 
$-\Delta v+V(x^{1})v+\phi_{v}v=f(v)$, here
$x^{1}=\lim_{n\to\infty}x_{n}^{1}$. Since
$\epsilon_{n}^{-1}(x_{n}^{2}-x_{n}^{1})$ is bounded and hence, up to
a subsequence, it converges to some $p\in\mathbb{R}^{3}$. So we
conclude that $p=0$; therefore
$\epsilon_{n}^{-1}(x_{n}^{2}-x_{n}^{1})\in B_{r}$ for $n$ large
enough, which is impossible since $0$ is the only critical point of
$v$ in $B_{r}$.
\smallskip

\noindent\textbf{Case2:} $\epsilon_{n}^{-1}(x_{n}^{2}-x_{n}^{1})$ is unbounded.
Let $\tilde{v_{n}}(x)=u_{\epsilon_{n}}(\epsilon_{n}x+x_{n}^{2})$,
then there exists $\tilde{v}$ such that $\tilde{v}$ is the solution
of $-\Delta v+V(x^{2})v+\phi_{v}v=f(v)$, here
$x^{2}=\lim_{n\to\infty}x_{n}^{2}$. Note that
$|\epsilon_{n}^{-1}(x_{n}^{2}-x_{n}^{1})|\to+\infty$, then
for any $R>0$ the balls
$\tilde{B}_{R}\cap\bar{B}^{\epsilon}=\emptyset$, where
$\bar{B}^{\epsilon}=\tilde{B}_{R}(\epsilon_{n}^{-1}(x_{n}^{2}-x_{n}^{1}))$,
repeat the arguments of step2, we find that for any $\nu>0$ it is
possible to choose that $R>0$ large enough such that
\begin{equation}
\lim_{n\to\infty}\int_{\bar{B}^{\epsilon}}h_{n}dx
\geq\tilde{J}(\tilde{v})-\nu,\label{3.30*}
\end{equation}
where 
$$
\tilde{J}(u)=\frac{1}{2}\int_{\mathbb{R}^{3}}(|\nabla
u|^{2}+V(x^{2})u^{2})dx
+\frac{1}{4}\int_{\mathbb{R}^{3}}\phi_{u}u^{2}dx
-\int_{\mathbb{R}^{3}}F(u)dx,
$$
and 
\begin{equation}
\lim_{n\to\infty}\int_{\mathbb{R}^{3}\backslash (B_{R}\cup B^{\epsilon})}h_{n}dx
\geq-\nu.\label{3.30**}
\end{equation}
Similar to the argument in \eqref{3.27*}, we obtain
\begin{equation}
\lim_{n\to\infty}\int_{B_{R}}h_{n}dx\geq J_{1}(v)-\delta,\label{3.27**}
\end{equation}
where
$$
J_{1}(u)=\frac{1}{2}\int_{\mathbb{R}^{3}}(|\nabla
u|^{2}+V(x^{1})u^{2})dx+\frac{1}{4}\int_{\mathbb{R}^{3}}\phi_{u}u^{2}dx
-\int_{\mathbb{R}^{3}}F(u)dx.
$$
 From \eqref{3.27**},\eqref{3.30*} and \eqref{3.30**} we conclude that
\begin{equation}
\lim_{n\to\infty}\int_{\mathbb{R}^{3}}h_{n}dx
\geq J_{1}(v)+\tilde{J}(\tilde{v})-3\nu.\label{3.30"}
\end{equation}
Since $\nu$ is arbitrary we find that
$$
\epsilon_{n}^{-3}J_{\epsilon_{n}}(u_{\epsilon_{n}})
=\lim_{n\to\infty}J_{n}(v_{n})
\geq J_{1}(v)+\tilde{J}(\tilde{v})\geq2c_0,
$$ which contradicts \eqref{3.15}. The proof of proposition \ref{pro3.6} 
is now complete.
\end{proof}

\section{Proof of Theorem \ref{thm1.1}}

In this section, we shall prove the existence, concentration, and
exponential decay of ground state solution of \eqref{1.3} for small
$\epsilon$.

\begin{proof}[Proof of Theorem \ref{thm1.1}]
 By proposition \ref{pro3.6}, there exists $\epsilon_0$ such that for 
$0<\epsilon<\epsilon_0$,
\begin{equation}
u_{\epsilon}(x)<a\quad\text{for all } x\in\partial\Lambda.\label{3.33}
\end{equation}
The function $u_{\epsilon}\in H$ solves the equation
\begin{equation}
-\epsilon^{2}\Delta u+V(x)u+\epsilon^{-2}\phi_{u}u=g(x,u).\label{3.34}
\end{equation}
Choose $(u_{\epsilon}-a)_{+}$ as a test function in \eqref{3.34},
after integration by parts one gets
\begin{equation}
\begin{aligned}
&\int_{\mathbb{R}^{3}\backslash\{\Lambda\}}
\Big[\epsilon^{2}|\nabla(u_{\epsilon}-a)_{+}|^{2}
+c(x)(u_{\epsilon}-a)_{+}^{2}+\epsilon^{-2}
\phi_{u_{\epsilon}}u_{\epsilon}(u_{\epsilon}-a)_{+}\\
& +c(x)a(u_{\epsilon}-a)_{+}\Big]dx=0,
\end{aligned}\label{3.35}
\end{equation}
where
$$
c(x)=V(x)-\frac{g(x,u_{\epsilon}(x))}{u_{\epsilon}(x)}.
$$ 
The definition of $g$ yields that $c(x)>0$ in
$\mathbb{R}^{3}\backslash\{\Lambda\}$, hence all terms in
\eqref{3.35} are zero. We conclude in particular
$$
u_{\epsilon}(x)\leq a\quad\text{for all } \mathbb{R}^{3}\backslash\{\Lambda\}.
$$
Consequently, $u_{\epsilon}$ is a solution to equation \eqref{1.3},
and by proposition \ref{pro3.6}, we know that the maximum value of
$u_{\epsilon}$ is achieved at a point $x_{\epsilon}\in\Lambda$ and
it is away from zero. To obtain \eqref{**}, we need the following
proposition, which is a very particular version of 
\cite[Theorem 8.17]{tru}.
\end{proof}

\begin{proposition}[\cite{tru}] \label{pro4.1}
 Suppose that $t>3$, $h\in L^{t/2}(\Omega)$ and 
$u\in H^{1}(\Omega)$ satisfies in the weak sense
$$
-\Delta u\leq h(x)\quad\text{in }\Omega,
$$
where $\Omega$ is an open subset of $\mathbb{R}^{3}$. Then, for any
ball $B_{2R}(y)\subset\Omega$,
$$
\sup_{x\in B_{R}(y)}u(x)\leq C(\|u^{+}\|_{L^{2}(B_{2R}(y))}
+\|h\|_{L^{t/2}(B_{2R}(y))}),
$$
where $C$ depends on $t$ and $R$.
\end{proposition}

\begin{lemma}\label{lem4.2}
Let $v_{\epsilon}(x)=u_{\epsilon}(x_{\epsilon}+\epsilon x)$, where
$x_{\epsilon}$ is the unique maximum of $u_{\epsilon}$, then there
exists $\epsilon^{*}>0$ such that
$\lim_{|x|\to\infty}v_{\epsilon}(x)=0$ uniformly on
$\epsilon\in(0,\epsilon^{*})$.
\end{lemma}

\begin{proof} 
Since $u_{\epsilon}(x)$ is the solution of \eqref{1.3},
by \eqref{3.16} then
\begin{equation}
\|v_{\epsilon}\|_{H}\leq C,\label{4.1}
\end{equation}
and also $v_{\epsilon}(x)$ satisfies
$$
-\Delta v_{\epsilon}+V(x_{\epsilon}+\epsilon x)v_{\epsilon}(x)
+\phi_{v_{\epsilon}}v_{\epsilon}=f(v_{\epsilon}).
$$
Now, for any sequence $\epsilon_{n}\to0$, there is a
subsequence such that
$$
x_{\epsilon_{n}}\to\bar{x}; V(\bar{x})=V_0.
$$
From \eqref{4.1} and elliptic estimates, we know that this
subsequence can be chosen in such a way that
$v_{\epsilon_{n}}\to v$ uniformly over compacts, where 
$v\in H^1({\mathbb{R}^{3}})$ solves
\begin{equation}
-\Delta v+V_0v+\phi_{v}=f(v).\label{4.2}%
\end{equation}
Next, we  prove that
$v_{\epsilon_{n}}\to v \in \ H^1({\mathbb{R}^{3}})$.
Since $\tilde{f}(s)\leq f(s)$ for all $s\geq0$, by \eqref{3.15} we
have 
$$
I_{n}(v_{\epsilon_{n}})\leq\epsilon_{n}^{-3}J_{\epsilon_{n}}(u_{\epsilon_{n}})
\leq c_0,
$$
where
\begin{equation}
\begin{aligned}
I_{n}(u)
&=\frac{1}{2}\int_{\Omega_{n}}[|\nabla u|^{2}
 +V(x_{\epsilon_{n}}+\epsilon_{n}x)u^{2}]dx
 +\frac{1}{4}\int_{\Omega_{n}}\phi_{u}u^{2}dx \\
&\quad -\int_{\Omega_{n}}F(x_{\epsilon_{n}}+\epsilon_{n}x,u)dx,
\Omega_{n}\\
&=\epsilon_{n}^{-1}\{\mathbb{R}^{3}-x_{\epsilon_{n}}\}.
\end{aligned}
\end{equation}
On the other hand, using Fatou's lemma and the weak limit of
$v_{\epsilon_{n}}$,
\begin{align*}
I_{n}(v_{\epsilon_{n}})
&=I_{n}(v_{\epsilon_{n}})-\frac{1}{4}\langle
I'_{n}(v_{\epsilon_{n}}),v_{\epsilon_{n}}\rangle \\
&=\frac{1}{4}\int_{\Omega_{n}}[|\nabla
v_{\epsilon_{n}}|^{2}+V(x_{\epsilon_{n}}+\epsilon_{n}x)v_{\epsilon_{n}}^{2}]dx
+\frac{1}{4}\int_{\Omega_{n}}[f(v_{\epsilon_{n}})v_{\epsilon_{n}}-4F(v_{\epsilon_{n}})]dx \\
&\geq \frac{1}{4}\int_{\Omega_{n}}[|\nabla
v_{\epsilon_{n}}|^{2}+V_0v_{\epsilon_{n}}^{2}]dx
+\frac{1}{4}\int_{\Omega_{n}}[f(v_{\epsilon_{n}})v_{\epsilon_{n}}-4F(v_{\epsilon_{n}})]dx \\
&\geq \frac{1}{4}\int_{\mathbb{R}^{3}}[|\nabla v|^{2}+V_0v^{2}]dx
+\frac{1}{4}\int_{\mathbb{R}^{3}}[f(v)v-4F(v)]dx \\
&=I_0(v)-\frac{1}{4}\langle I'_0(v),v\rangle\geq c_0.
\end{align*}
So, $I_{n}(v_{\epsilon_{n}})\to c_0$ as
$n\to\infty$, and it is easy to verify from the above
inequalities,
$$
\lim_{n\to\infty}\int_{\mathbb{R}^{3}}(|\nabla v_{\epsilon_{n}}|^{2}
 +V_0v_{\epsilon_{n}}^{2})dx
=\int_{\mathbb{R}^{3}}(|\nabla v|^{2}+V_0v^{2})dx.
$$
Therefore, using  that $v_{\epsilon_{n}}\rightharpoonup v$ weakly in
 $ H^1({\mathbb{R}^{3}})$, we conclude $v_{\epsilon_{n}}\to v$
in $H^1({\mathbb{R}^{3}})$. As a consequence of the above limit, we
have
\begin{equation}
\lim_{R\to\infty}\int_{|x|\geq R}v_{\epsilon_{n}}^{2}dx=0.\label{4.3}%
\end{equation}
Applying proposition \ref{pro4.1} in the inequality
$$
-\Delta v_{\epsilon_{n}}
\leq -\Delta v_{\epsilon_{n}}+V(\epsilon_{n}x
+x_{\epsilon_{n}})v_{\epsilon_{n}}
+\phi_{v_{\epsilon_{n}}}v_{\epsilon_{n}}=h_{n}(x)\Delta q
f(v_{\epsilon_{n}})\quad\text{in }
\mathbb{R}^{3},
$$
we have that for some $t>3,
\|h_{n}\|_{\frac{t}{2}}\leq C$ for all $n$.
Moreover,
$$
\sup_{x\in B_{R}(y)}v_{\epsilon_{n}}(x)
\leq C(\|v_{\epsilon_{n}}\|_{L^{2}(B_{2R}(y))}
+\|h_{n}\|_{L^{t/2}(B_{2R}(y))})\quad\text{for all }
y\in\mathbb{R}^{3},
$$
which implies that
$\|v_{\epsilon_{n}}\|_{L^{\infty}(\mathbb{R}^{3})}$ is uniformly
bounded. Then by \eqref{4.3}, we have
$$
\lim_{|x|\to\infty}v_{\epsilon_{n}}(x)=0\quad\text{uniformly  on } n\in\mathbb{N}.
$$
Consequently, there exists $\epsilon^{*}>0$ such that
$$
\lim_{|x|\to\infty}v_{\epsilon}(x)=0\quad\text{uniformly  on }
 \epsilon\in(0,\epsilon^{*})\,.
$$
\end{proof}

To show the exponential decay of $u_{\epsilon}$, we only need the
following result involving of $v_{\epsilon}$.

\begin{lemma}\label{lem4.5}
There exist constants $C>0$ and $c>0$ such that
$$
v_{\epsilon}(x)\leq Ce^{-c|x|}\quad\text{for all } x\in\mathbb{R}^{3}.
$$
\end{lemma}

\begin{proof}
By lemma \ref{lem4.2} and (A2), there exists
$R_{1}>0$ such that
\begin{equation}
\frac{f(v_{\epsilon}(x))}{v_{\epsilon}(x)}
\leq\frac{V_0}{2} \quad\text{for all } |x|\geq R_{1},\;
\epsilon\in(0,\epsilon^{*}).\label{4.4}
\end{equation}
Fix $\omega(x)=Ce^{-c|x|}$ with $c^{2}<V_0/2$ and
$Ce^{-cR_{1}}\geq v_{\epsilon}$ for all $|x|=R_{1}$. It is easy to
check that
\begin{equation}
\Delta\omega\leq c^{2}\omega\quad\text{for all } |x|\neq0.\label{4.5}
\end{equation}
So
\begin{equation}
-\Delta v_{\epsilon}+V_0v_{\epsilon}\leq-\Delta v_{\epsilon}
+V_0v_{\epsilon}+\phi_{v_{\epsilon}}v_{\epsilon}
=f(v_{\epsilon})\leq\frac{V_0}{2}v_{\epsilon}\quad
\text{for all } |x|>R_{1}.\label{4.6}
\end{equation}
Define $\omega_{\epsilon}=\omega-v_{\epsilon}$.
Using \eqref{4.6} and \eqref{4.5}, we obtain
\[
-\Delta \omega_{\epsilon} +\frac{V_0}{2}\omega_{\epsilon}\geq0,\quad
 \text{in } |x|\leq R_{1},  \\
\omega_{\epsilon}\geq 0,\quad\text{on } |x|= R_{1},\\
\lim_{|x|\to\infty}\omega_{\epsilon}(x)=0.
\]
The classical maximum principle implies that
$\omega_{\epsilon}\geq0$ in $|x|\geq R_{1}$ and by the work in
\cite{gnn}, we conclude that
$$
v_{\epsilon}(x)\leq Ce^{-c|x|}\quad\text{for  all }
 |x|\geq R_{1}, \epsilon\in(0,\epsilon^{*}).
$$
By the definition of $v_{\epsilon}$ and lemma \ref{lem4.5}, we have
$$
u_{\epsilon}(x)=v_{\epsilon}(\frac{x-x_{\epsilon}}{\epsilon})
\leq Cexp(-c\frac{|x-x_{\epsilon}|}{\epsilon})
$$
for all $x\in\mathbb{R}^{3}, \epsilon\in(0,\epsilon^{*})$.
The proof of Theorem \ref{thm1.1} is complete.
\end{proof}

\subsection*{Acknowledgments} 
This work was supported by Natural Science
Foundation of China (11201083) and China Postdoctoral Science
Foundation (2013M542038).

The author would like to express
her sincere thanks to the anonymous referees for their careful
reading of the manuscript and valuable comments and suggestions.


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\end{document}

