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Concentration of Positive Ground State Solutions for Schrödinger–Maxwell Systems with Critical Growth

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Published/Copyright: June 5, 2016

Abstract

In this paper, we study the following Schrödinger–Maxwell system with critical exponents in 3:

{ - ε 2 Δ u + V ( x ) u + K ( x ) ϕ u = P ( x ) g ( u ) + Q ( x ) | u | 4 u , - ε 2 Δ ϕ = K ( x ) u 2 .

Under suitable assumptions on the potentials V(x), K(x), P(x) and Q(x), we are able to prove the existence of semiclassical ground state solutions (uε,ϕε) with the maximum points xε of uε concentrating at a special set M described by these potential functions. Moreover, setting vε(x):=uε(εx+xε) for any sequence xεx0M, the solutions (vε,ϕε) converge strongly in H1(3) to a solution (u,ϕ) of

{ - Δ v + V ( x 0 ) v + K ( x 0 ) ϕ v = P ( x 0 ) g ( v ) + Q ( x 0 ) | v | 4 v , - Δ ϕ = K ( x 0 ) v 2 .

MSC 2010: 35J20; 35J60; 35Q55

1 Introduction and Main Results

The nonlinear Schrödinger equation

(1.1) i t ψ = - 2 2 m Δ ψ + W ( x ) ψ - | ψ | p - 2 ψ , x N ,

has been used to study many nonlinear models from different fields of physics. Here is the Plank constant, m is the mass of the field ψ, W(x) is a given external potential and the nonlinear term describes the interaction effect among many particles. Considering the existence of standing wave type solutions, i.e.,

(1.2) ψ ( x , t ) = u ( x ) e - i ω t / , x N , t ,

one is lead to study the semilinear elliptic equation

(1.3) - ε 2 Δ u + V ( x ) u = g ( u ) , x N ,

where ε2=22m, V(x)=W(x)-ω and g is a real continuous function.

The study of equation (1.3) when the parameter ε goes to zero, known as the semiclassical problems for Schrödinger equation, was used to describe the transition between quantum mechanics and classical mechanics. This kind of problem has been investigated extensively under various hypotheses on the potential and the nonlinearity since the work by Floer and Weinstein [18], see for example [11, 2, 4, 13, 17, 19, 24, 29, 28, 35, 36] and the references therein for recent progress. Among them, Wang and Zeng [36] considered the equation

(1.4) - ε 2 Δ u + V ( x ) u = K ( x ) u r - 1 + Q ( x ) u t - 1 in N

and showed that the concentration points are located on the middle ground of the competing potential functions and are given explicitly in terms of these functions in some cases. Cingolani and Lazzo [13] obtained a multiplicity result involving the set of global minima of a function which provides some kind of global median value between the minimum of V and the maximum of K and Q. We finally mention the paper of Ambrosetti, Malchiodi and Secchi [4], in which they considered the case Q=0 and proved that the number of solutions of (1.4) is related with the set of minima of a function given explicitly in terms of V,K,r and the dimension N. In a recent paper [17], Ding and Liu considered the equation

( - i ε + A ( z ) ) 2 u + V ( x ) u = Q ( x ) ( g ( | u | ) + | u | 4 ) u

for uH1(N,), where the function A:33 denotes a continuous magnetic potential associated with a magnetic field B (i.e., curlA=B) and g(|u|)u is superlinear and subcritical. Under suitable assumptions on the potentials, they obtained existence and new concentration phenomena of the semiclassical ground states.

If the Schrödinger field (1.2) of equation (1.1) interacts with an unknown electromagnetic field, then one is lead to study the following system of equations in 3:

(1.5) { - ε 2 Δ u + V ( x ) u + K ( x ) ϕ u = f ( x , u ) , x 3 , - ε 2 Δ ϕ = K ( x ) u 2 , x 3 ,

where K(x) is used to describe the electron charge. When ε=1 and V(x) is a constant, the existence and multiplicity of solutions of equation (1.5) have been widely considered under different assumptions on the nonlinearities, see, for example, [1, 5, 6, 14, 8, 30]. When V(x) is not a constant, we refer readers to [37] for the asymptotically linear case, [25] for the potential well case and [7] for the critical growth case. The case where the electronic potential K(x) is not a constant was considered by Cerami and Varia [12]. In particular, they studied the system

{ - Δ u + u + K ( x ) ϕ u = a ( x ) | u | p - 2 u , x 3 , - Δ ϕ = K ( x ) u 2 , x 3 ,

and, under suitable assumptions on K(x) and a(x), proved the existence of positive solutions. By requiring radial symmetry and asymptotical behavior at infinity, Li, Peng and Yan in [26] studied the existence of infinitely many sign-changing solutions.

The semiclassical Schrödinger–Poisson problem has also attracted a lot of attention. Considering the system

{ - ε 2 Δ u + V ( x ) u + ϕ u = | u | p - 2 u , x 3 , - Δ ϕ = u 2 , x 3 ,

when p(1,117) and the potential is a constant, D’Aprile and Wei [15] constructed a family of positive radially symmetric bound states and showed the concentration around a sphere in 3 as ε0 and, in addition, in [16] proved the existence of multi bump solutions. When V(x) is not a constant, a similar concentration phenomenon was also observed by Ruiz in [32]. Ruiz [31] studied the concentration around a sphere and Ruiz and Varia [33] obtained the existence of multi-bump type solutions and showed that the bumps concentrate around a local minimum of the potential for 3<p<5 by applying Lyapunov–Schmidt reduction methods. Ianni [21], and Ianni and Vaira [22, 23] studied the existence of semiclassical states for Schrödinger–Maxwell systems and constructed a family of radial bound states that concentrate around a sphere or the stationary point of the bounded potential. He and Zou [20] studied the problem

{ - ε 2 Δ u + V ( x ) u + ϕ u = f ( u ) , x 3 , - ε 2 Δ ϕ = u 2 , x 3 ,

and obtained the existence of positive solutions concentrating on the minima of V(x). Zhang [39] obtained the existence of solutions concentrating at a local minimum point of the potential V(x).

To study the nonlocal type Schrödinger equation, one of the interesting problems posed in [3, p. 29] is to introduce a suitable auxiliary potential W(x) which can be characterized by V(x) and K(x) in (1.4), and then describe the concentration around the stationary points of W(x). Since the appearance of a nonlocal convolution term in Schrödinger–Maxwell systems brings new difficulties, it would be quite natural to consider how the interaction between the auxiliary potential and the nonlinear potential will affect the existence and concentration of solutions of nonlinear Schrödinger–Maxwell systems. Motivated by the results mentioned for a single Schrödinger equation, the aim of this paper is to study the existence and concentration of solutions of Schrödinger–Maxwell systems in 3 having the form

(1.6) { - ε 2 Δ u + V ( x ) u + K ( x ) ϕ u = P ( x ) g ( u ) + Q ( x ) | u | 4 u , x 3 , - ε 2 Δ ϕ = K ( x ) u 2 , x 3 ,

where ε is a small parameter and V(x), K(x), P(x) and Q(x) are four real continuous function on 3. Notice that the number 2*=6 is the critical exponent for the Sobolev imbedding in 3, so the nonlinearity in this equation is of critical growth at infinity.

Throughout this paper, we denote the standard norm of E:=H1(3) by

u = ( 3 ( | u | 2 + u 2 ) ) 1 / 2

and the norm of D1,2(3) by

u D = ( 3 | u | 2 ) 1 / 2 .

As usual, ||s denotes the norm of the Lebesgue space, i.e.,

| u | s := ( 2 | u | s ) 1 / s , 1 s < .

Proposition 1.1

Proposition 1.1 (Hardy–Littlewood–Sobolev inequality [27])

Assume that s,r>1 and 0<μ<N are such that 1/s+μ/N+1/r=2. Let fLs(N) and hLr(N). There exists a sharp constant C(s,N,μ,r), independent of f and h, such that

N N f ( x ) h ( y ) | x - y | μ C ( s , N , μ , r ) | f | s | h | r .

Applying the Lax–Milgram theorem, we know that for every uH1(3), there exists a unique ϕuD1,2(3) such that

- Δ ϕ u = K ( x ) u 2

and ϕu can be expressed by

ϕ u ( x ) = 1 | x | ( K ( x ) u 2 ) = 3 K ( y ) u 2 ( y ) | x - y | 𝑑 y .

Simple calculations also show that ϕu must satisfy

ϕ u D C u 2 and 3 ϕ u u 2 C u 4 .

Thus, it can be proved in a standard way that (u,ϕu)H1(3)×D1,2(3) satisfies system (1.6) if and only if uH1(3) is a solution of

(1.7) - ε 2 Δ u + V ( x ) u + 1 ε 2 [ 1 | x | ( K ( x ) u 2 ) ] K ( x ) u = P ( x ) g ( u ) + Q ( x ) | u | 4 u .

By changing variables, we know that if u is a solution of equation (1.7), then the function v=u(εx) satisfies

- Δ v + V ( ε x ) v + [ 1 | x | ( K ( ε x ) v 2 ) ] K ( ε x ) v = P ( ε x ) g ( v ) + Q ( ε x ) | v | 4 v .

This suggests some convergence, as ε0, of the family of solutions to a solution v0 of the limit problem

- Δ v + V ( 0 ) v + K 2 ( 0 ) [ 1 | x | v 2 ] v = P ( 0 ) g ( v ) + Q ( 0 ) | v | 4 v .

In order to state the main results, we suppose that the nonlinearity g:+ satisfies the following hypotheses:

  1. We have

    g ( 0 ) = 0 and lim s 0 g ( s ) s = 0 .

  2. There exist 2<p<6 and C0>0 such that

    | g ( s ) | C 0 ( 1 + s p - 1 ) for all s 0 .

  3. There exist 4<q<6 and θ>4 such that

    c 0 s q θ G ( s ) g ( s ) s for all s > 0 ,

    where G(t)=0tg(s)𝑑s. This is the well-known Ambrosetti–Rabinowitz condition.

  4. sg(s)/s3 is strictly increasing on (0,+).

Since we are interested in the existence of positive solutions, we may assume that

g ( s ) = 0 for all s 0 .

In the following, we denote by S the best Sobolev constant:

S | u | 6 2 3 | u | 2 .

Moreover, we define

S q := inf z E , | z | q = 1 z 2 .

Let V,K,P,Q:3 be four continuous and bounded functions with

0 < κ min : = min x 3 V ( x ) , 𝒱 : = { x 3 : V ( x ) = κ min } ,
κ max : = sup x 3 V ( x ) , κ : = lim inf | x | V ( x ) < .
0 < γ min : = min x 3 K ( x ) , 𝒦 : = { x 3 : K ( x ) = γ min } ,
γ max : = sup x 3 K ( x ) , γ : = lim inf | x | K ( x ) < ,
τ max : = max x 3 P ( x ) , 𝒫 : = { x 3 : P ( x ) = τ max } ,
0 < τ min : = inf x 3 P ( x ) , τ : = lim sup | x | P ( x ) < ,
ν max : = max x 3 Q ( x ) , 𝒬 : = { x 3 : Q ( x ) = ν max } ,
0 < ν min : = inf x 3 Q ( x ) , ν : = lim sup | x | Q ( x ) < .

We consider the case where the following two assumptions hold:

  1. :=𝒫𝒬={x3:P(x)=τmax,Q(x)=νmax}.

  2. We have τmax>τ and there exist R>0 and x* such that

    V ( x * ) V ( x ) , K ( x * ) K ( x ) for all | x | R .

In this case, we can define

𝒜 V := { x : V ( x ) V ( x * ) } { x : V ( x ) < V ( x * ) }

and

𝒜 K := { x : K ( x ) K ( x * ) } { x : K ( x ) < K ( x * ) } .

Remark 1.2

  1. 𝒜V and 𝒜K are both bounded sets.

  2. If Q(x)=P(x) or Q(x) is a constant function then =𝒫.

  3. If K(x)=V(x) or K(x) is a constant function (it is unnecessary to introduce 𝒜K for K(x) constant), we may assume x* and V(x*)=minxV(x). In this case, we can define

    𝒜 V := { x : V ( x ) = V ( x * ) } { x : V ( x ) < V ( x * ) } .

    Moreover, 𝒜V=𝒱 if 𝒱. Similarly, if V(x)=K(x) or V(x) is a constant function, we may assume x* and K(x*)=minxK(x), and then we can define

    𝒜 K := { x : K ( x ) = K ( x * ) } { x : K ( x ) < K ( x * ) } .

    Moreover, 𝒜K=𝒦 if 𝒦.

The first result of this paper is the following theorem.

Theorem 1.3

Suppose that the potential functions V, K, P and Q satisfy conditions (PQ1) and (PQ2), and the nonlinearity g satisfies assumptions (g1)(g4). Then, for any ε>0 small enough, problem (1.7) has at least one positive least energy solution uε. Moreover, the following hold:

  1. There exists a maximum point xε3 of uε such that limε0dist(xε,𝒜V𝒜K)=0 and for some c,C>0,

    | u ε ( x ) | C exp ( - c ε | x - x ε | ) .

  2. Setting vε(x):=uε(εx+xε), for any sequence xεx0 as ε0, vε converges in E to a ground state solution v of

    - Δ v + V ( x 0 ) v + K 2 ( x 0 ) [ 1 | x | v 2 ] v = P ( x 0 ) g ( v ) + Q ( x 0 ) | v | 4 v .

Remark 1.4

  1. If K(x)1 and 𝒱, then limε0dist(xε,𝒱)=0, and up to subsequences, vεn converges in E to a ground state solution v of

    - Δ v + κ min v + [ 1 | x | v 2 ] v = τ max g ( v ) + ν max | v | 4 v .

  2. If V(x)1 and 𝒦, it follows that limε0dist(xε,𝒦)=0, and up to subsequences, vεn converges in E to a ground state solution v of

    - Δ v + v + γ min 2 [ 1 | x | v 2 ] v = τ max g ( v ) + ν max | v | 4 v .

  3. If V(x), K(x) and Q(x) are all constants, then we know that limε0dist(xε,𝒫)=0 and that vεn converges in E to a ground state solution v of

    - Δ v + v + [ 1 | x | v 2 ] v = τ max g ( v ) + | v | 4 v ,

    which means that the concentration appears at the maximum set 𝒫 of the nonlinear potential P(x).

We have another two cases to consider for assumptions (PQ1) and (PQ2) introduced above. Each case is characterized by two assumptions. The first one is as follows:

  1. 𝒳 := 𝒦 𝒬 = { x 3 : K ( x ) = γ min , Q ( x ) = ν max } .

  2. We have γ>γmin and there exist R>0 and x*𝒳 such that

    V ( x * ) V ( x ) , P ( x * ) P ( x ) for all | x | R .

Set

𝒜 V := { x 𝒳 : V ( x ) V ( x * ) } { x 𝒳 : V ( x ) < V ( x * ) }

and

𝒜 P := { x 𝒳 : P ( x ) P ( x * ) } { x 𝒳 : P ( x ) > P ( x * ) } .

Theorem 1.5

Suppose that the potential functions V, K, P and Q satisfy conditions (KQ1) and (KQ2), and the nonlinearity g satisfies assumptions (g1)(g4). Then, for any ε>0 small enough, problem (1.7) has at least one positive least energy solution uε. Moreover, the following hold:

  1. There exists a maximum point xε3 of uε such that limε0dist(xε,𝒜V𝒜P)=0 and for some c,C>0,

    | u ε ( x ) | C exp ( - c ε | x - x ε | ) .

  2. Setting vε(x):=uε(εx+xε), for any sequence xεx0 as ε0, vε converges in E to a ground state solution v of

    - Δ v + V ( x 0 ) v + K 2 ( x 0 ) [ 1 | x | v 2 ] v = P ( x 0 ) g ( v ) + Q ( x 0 ) | v | 4 v .

Remark 1.6

If V(x), P(x) and Q(x) are all constants, then limε0dist(xε,𝒦)=0 and vεn converges in E to a ground state solution v of

- Δ v + v + γ min 2 [ 1 | x | v 2 ] v = g ( v ) + | v | 4 v ,

which means that the concentration appears at the minimum set 𝒦 of the electronic potential K(x).

The second case is as follows:

  1. 𝒲:=𝒱𝒬={x3:V(x)=κmin,Q(x)=νmax}.

  2. We have κ>κmin and there exist R>0 and x*𝒲 such that

    K ( x * ) K ( x ) , P ( x * ) P ( x ) for all | x | R .

For this case, we set

𝒜 K := { x 𝒲 : K ( x ) K ( x * ) } { x 𝒲 : K ( x ) < K ( x * ) }

and

𝒜 P := { x 𝒲 : P ( x ) P ( x * ) } { x 𝒲 : P ( x ) > P ( x * ) } .

Theorem 1.7

Suppose that the potential functions V, P and Q satisfy conditions (VQ1) and (VQ2), and the nonlinearity g satisfies (g1)(g4). Then, for any ε>0 small enough, problem (1.7) has at least one positive least energy solution uε. Moreover, the following hold:

  1. There exists a maximum point xε3 of uε such that limε0dist(xε,𝒜K𝒜P)=0 and for some c,C>0,

    | u ε ( x ) | C exp ( - c ε | x - x ε | ) .

  2. Setting vε(x):=uε(εx+xε), for any sequence xεx0 as ε0, vε converges in E to a ground state solution v of

    - Δ v + V ( x 0 ) v + K 2 ( x 0 ) [ 1 | x | v 2 ] v = P ( x 0 ) g ( v ) + Q ( x 0 ) | v | 4 v .

Remark 1.8

If P(x), K(x) and Q(x) are constants, then limε0dist(xε,𝒱)=0 and vεn converges in E to a ground state solution v of

- Δ v + κ min v + [ 1 | x | v 2 ] v = g ( v ) + | v | 4 v ,

which describes the concentration at the minimum set 𝒱 of the external potential V(x).

In this paper, we will use the following notations:

  1. C, Ci denote positive constants.

  2. BR denote the open ball centered at the origin with radius R>0.

  3. C0(3) denotes the space of the functions infinitely differentiable with compact support in 3.

  4. Let E be a real Hilbert space and I:E a functional of class 𝒞1. We say that (un)E is a Palais–Smale ((PS) for short) sequence at c for I if (un) satisfies

    I ( u n ) c and I ( u n ) 0 as n .

  5. We say that I satisfies the (PS) condition at c, if any (PS) sequence at c possesses a convergent subsequence.

The paper is organized as follows. In Section 2 we outline some preliminary results related to elliptic equations with critical exponent. In Section 3 we study an auxiliary problem which will play an important role in proving the main results. In Section 4 we prove the existence and concentration results for Schrödinger–Maxwell systems with critical exponent. We will give the details of the proof for the case where the concentration phenomenon is dominated by the nonlinear potential P(x). Also, we will sketch the proof for the case where the concentration phenomenon is dominated by the electronic potential K(x).

2 Variational Framework

Changing variable by u(x)=v(εx), it is possible to see that equation (1.7) is equivalent to

(2.1) - Δ v + V ( ε x ) v + [ 1 | x | ( K ( ε x ) v 2 ) ] K ( ε x ) v = P ( ε x ) g ( v ) + Q ( ε x ) | v | 4 v .

Then the energy functional can be defined by

I ε ( u ) = 1 2 u ε 2 + 1 4 3 [ 1 | x | ( K ( ε x ) u 2 ) ] K ( ε x ) u 2 - 3 P ( ε x ) G ( u ) - 1 6 3 Q ( ε x ) | u | 6 ,

where G(u)=0ug(s)𝑑s and

u ε := ( 3 ( | u | 2 + V ( ε x ) | u | 2 ) ) 1 / 2

is an equivalent norm on E. From the growth assumption on g, we know that Iε is well defined on E and belongs to 𝒞1. In the following, the associated Nehari manifold for Iε will be denoted by 𝒩ε, that is,

𝒩 ε = { u E : u 0 , I ε ( u ) , u = 0 } .

Using conditions (g1)(g3), it is easy to see that there exists α>0, independent of ε, such that

u ε α for all u 𝒩 ε .

One can easily check that the functional Iε satisfies the mountain-pass geometry, that is, the following lemma holds.

Lemma 2.1

Suppose that conditions (g1)(g3) hold.

  1. There exist ρ,δ0>0 such that Iε|Sδ0>0 for all uS={uE:uε=ρ}.

  2. There exists e with eε>ρ such that Iε(e)<0.

Applying the mountain-pass theorem without the (PS) condition [38], we know that there exists a (PS)cε sequence (un)E, i.e.,

I ε ( u n ) 0 , I ε ( u n ) c ε ,

where cε is defined by

(2.2) c ε := inf u E \ { 0 } max t 0 I ε ( t u ) .

Moreover, there exists a constant c>0, independent of ε, such that cε>c. Using the monotonicity condition (g4), for each uE\{0}, there exists a unique t=t(u) such that t(u)u𝒩ε and

I ε ( t ( u ) u ) = max s 0 I ε ( s u ) .

Thus, cε can also be characterized by

c ε = inf u 𝒩 ε I ε ( u ) .

In order to study the concentration of the ground states of critical Schrödinger–Maxwell systems, we would like to recall some basic results for systems with constant coefficients. Consider the system

(2.3) { - Δ u + κ u + γ ϕ u = τ g ( u ) + ν | u | 4 u in 3 , - Δ ϕ = γ u 2 in 3 ,

where κ[κmin,κmax], γ[γmin,γmax], τ[τmin,τmax], ν[νmin,νmax] are four constants. The associated energy functional is denoted by

Φ κ , γ , τ , ν * ( u ) := 1 2 u κ 2 + γ 2 4 3 [ 1 | x | u 2 ] u 2 - τ 3 G ( u ) - ν 6 3 | u | 6 ,

where

u κ := ( 3 ( | u | 2 + κ | u | 2 ) ) 1 / 2 .

It is not difficult to verify that the functional Φκ,γ,τ,ν* also has a mountain pass level mκ,γ,τ,ν* characterized by

m κ , γ , τ , ν * := inf u E \ { 0 } max t 0 Φ κ , γ , τ , ν * ( t u ) .

In fact, we can estimate the mountain pass level mκ,γ,τ,ν*, as seen in the following lemma.

Lemma 2.2

Suppose that the nonlinearity g satisfies conditions (g1)(g4). Then, for any fixed κ[κmin,κmax], γ[γmin,γmax], τ[τmin,τmax], ν[νmin,νmax], the mountain pass level mκ,γ,τ,ν* satisfies

m κ , γ , τ , ν * < S 3 / 2 3 ν 1 / 2 ,

and then the critical problem (2.3) has at least one ground state solution u such that Φκ,γ,τ,ν*(u)=mκ,γ,τ,ν*.

Proof.

It is well known that the best Sobolev constant S can be attained by the functions

U ε ( x ) = C ε 1 / 4 ( ε + | x | 2 ) 1 / 2 ,

where C is a normalized constant. For any ε,r>0, define uε(x)=ψ(x)Uε(x), where ψC0(B2r(0)), such that 0ψ(x)1 and ψ(x)=1 on Br(0). The following asymptotic estimates are well known [38]:

R 3 | u ε | 2 = K 1 + O ( ε 1 / 2 ) , R 3 | u ε | 6 = K 2 + O ( ε 3 / 2 )

and

R 3 | u ε | t = { K ε ( 6 - t ) / 4 , t ( 3 , 6 ) , K ε 3 / 4 | ln ε | , t = 3 , K ε t / 4 , t [ 2 , 3 ) ,

where K1,K2,K are positive constants satisfying S=K1/K21/3. By the definition of mκ,γ,τ,ν*, direct computation and estimation, we have

m κ , γ , τ , ν * max t 0 Φ κ , γ , τ , ν * ( t u ε ) S 3 / 2 3 ν 1 / 2 + C ε 1 / 2 + C ε - C ε ( 6 - q ) / 4 < S 3 / 2 3 ν 1 / 2

for ε is small enough.

Let (un) be a (PS) sequence at mκ,γ,τ,ν*. It is easy to see that (un) is bounded and that there exist a sequence (yn)3 and r,δ>0 such that

B r ( y n ) | u n | 2 δ , n .

Otherwise, we have that

u n 0 in L s ( 3 ) , 2 < s < 6 , as n .

Notice that

Φ κ , γ , τ , ν * ( u n ) - 1 6 Φ κ , γ , τ , ν * ( u n ) , u n = 1 3 u n 2 + γ 2 12 3 [ 1 | x | u n 2 ] u n 2 + τ 3 G ( u n ) - ν 6 3 g ( u n ) u n .

Therefore,

3 | u n | 2 3 m κ , γ , τ , ν * + o n ( 1 ) .

Similarly, we have

3 | u n | 6 = 3 m κ , γ , τ , ν * ν + o n ( 1 ) .

Moreover,

3 | u n | 2 - ν 3 | u n | 6 o n ( 1 ) ,

which implies

m κ , γ , τ , ν * S 3 / 2 3 ν 1 / 2 ,

this is a contradiction. Thus, the sequence vn(x)=un(x+yn) is bounded in E and its weak limit vE is not zero and satisfies

Φ κ , γ , τ , ν * ( v ) = 0 , Φ κ , γ , τ , ν * ( v ) = m κ , γ , τ , ν * .

The following lemma describes a comparison between the mountain pass values for different parameters κ,γ,τ,ν>0, which will play an important role in proving the existence results in Section 4.

Lemma 2.3

For i=1,2, let κi[κmin,κmax], γi[γmin,γmax], τi[τmin,τmax] and νi[νmin,νmax]. If

min { κ 2 - κ 1 , γ 2 - γ 1 , τ 1 - τ 2 , ν 1 - ν 2 } 0 ,

then mκ1,γ1,τ1,ν1*mκ2,γ2,τ2,ν2*. Additionally, if

max { κ 2 - κ 1 , γ 2 - γ 1 , τ 1 - τ 2 , ν 1 - ν 2 } > 0 ,

then mκ1,γ1,τ1,ν1*<mκ2,γ2,τ2,ν2*.

Proof.

We prove that mκ1,γ1,τ1,ν1*mκ2,γ2,τ2,ν2*. From Lemma 2.2, we choose u, a solution of problem (2.3), with coefficients κ2,γ2,τ2,ν2 such that Φκ2,γ2,τ2,ν2*(u)=mκ2,γ2,τ2,ν2*. We have

Φ κ 2 , γ 2 , τ 2 , ν 2 * ( u ) = max t 0 Φ κ 2 , γ 2 , τ 2 , ν 2 * ( t u ) ,

and there exists t0>0 such that Φκ1,γ1,τ1,ν1*(t0u)=maxt0Φκ1,γ1,τ1,ν1*(tu). Then

m κ 1 , γ 1 , τ 1 , ν 1 * max t 0 Φ κ 1 , γ 1 , τ 1 , ν 1 * ( t u )
= Φ κ 1 , γ 1 , τ 1 , ν 1 * ( t 0 u )
Φ κ 2 , γ 2 , τ 2 , ν 2 * ( t 0 u )
Φ κ 2 , γ 2 , τ 2 , ν 2 * ( u )
= m κ 2 , γ 2 , τ 2 , ν 2 * .

For the convolution term, we have following basic property.

Lemma 2.4

For any bounded sequence (un)E, there exists C>0, independent of n, such that

(2.4) | 1 | x | u n 2 | C for all x 3 .

Proof.

We have

| 1 | x | u n 2 | C 0 3 u n 2 | x - y | d y
= C 0 | x - y | 1 u n 2 | x - y | 𝑑 y + C 0 | x - y | 1 u n 2 | x - y | 𝑑 y
C 1 | x - y | 1 u n 2 | x - y | 𝑑 y + C 2 .

Choosing t(3/2,2], Hölder’s inequality yields

| x - y | 1 u n 2 | x - y | 𝑑 y ( | x - y | 1 u n 2 t 𝑑 y ) 1 / t ( | x - y | 1 1 | x - y | t / t - 1 𝑑 y ) ( t - 1 ) / t
C 1 ( | r | 1 | r | ( t - 2 ) / ( t - 1 ) 𝑑 r ) ( t - 1 ) / t .

Since (t-2)/(t-1)>-1, there exists C3>0 such that

| x - y | 1 u n 2 | x - y | 𝑑 y C 3 for all x 3 ,

which proves (2.4).∎

3 An Auxiliary Problem

Suppose that assumptions (PQ1) and (PQ2) hold. We introduce an auxiliary problem for equation (2.1). Without loss of generality, we may assume that x*=0 in (PQ2). Denote

(3.1) { β : = V ( 0 ) V ( x ) for all | x | R , ζ : = K ( 0 ) K ( x ) for all | x | R .

For a[κmin,κmax], e[γmin,γmax], b[τmin,τmax], d[νmin,νmax], we set

V ε a ( x ) : = max { a , V ( ε x ) } , K ε e ( x ) : = max { e , K ( ε x ) } ,
P ε b ( x ) : = min { b , P ( ε x ) } , Q ε d ( x ) : = min { d , Q ( ε x ) } ,

and consider the auxiliary equation

- Δ v + V ε a ( x ) v + [ 1 | x | ( K ε e ( x ) v 2 ) ] K ε e ( x ) v = P ε b ( x ) g ( v ) + Q ε d ( x ) | v | 4 v .

The associated energy functional is defined by

I ε a e b d ( u ) = 1 2 3 ( | u | 2 + V ε a ( x ) | u | 2 ) + 1 4 3 [ 1 | x | ( K ε e ( x ) u 2 ) ] K ε e ( x ) u 2 - 3 P ε b ( x ) G ( u ) - 1 6 3 Q ε d ( x ) | u | 6 .

The associated Nehari manifold is

𝒩 ε a e b d = { u E : u 0 , I ε a e b d ( u ) , u = 0 } ,

and the least energy is cεaebd.

Lemma 3.1

Suppose that the nonlinearity g satisfies conditions (g1)(g4). Then

lim sup ε 0 c ε a e b d m V a ( 0 ) , K e ( 0 ) , P b ( 0 ) , Q d ( 0 ) * .

Proof.

Let u be a ground state solution of problem (2.1) with coefficients κ=Va(0), γ=Ke(0), τ=Pb(0), ν=Qb(0) such that

Φ V a ( 0 ) , P b ( 0 ) , Q b ( 0 ) ( u ) = m V a ( 0 ) , K e ( 0 ) , P b ( 0 ) , Q b ( 0 ) * .

Then there exists a unique tε:=tε(u)>0 such that tεu𝒩εaebd and

0 < c ε a e b d I ε a e b d ( t ε u ) = max s 0 I ε a e b d ( s u ) .

From the boundedness of V, K , P and Q, and by the arguments used in Lemma 2.1, we know that there exist C1,C2>0 such that

I ε a e b d ( s u ) C 1 s 2 + C 2 s 4 - C 3 s θ - C 3 s 6 for s large.

Thus, there exists T>0 independent of ε such that Iεaebd(su)<0 for all sT. Consequently, tε<T and we may assume that tεt0.

Observe that

I ε a e b d ( t ε u ) = Φ V a ( 0 ) , K e ( 0 ) , P b ( 0 ) , Q d ( 0 ) * ( t ε u ) + 1 2 3 ( V ε a ( x ) - V a ( 0 ) ) | t ε u | 2
+ 1 4 3 3 ( K ε e ( y ) K ε e ( x ) - ( K e ( 0 ) ) 2 ) u 2 ( y ) u 2 ( x ) | x - y | + 3 ( P b ( 0 ) - P ε b ( x ) ) G ( t ε u )
+ 1 6 3 ( Q d ( 0 ) - Q ε d ( x ) ) | t ε u | 6 .

Since Q is bounded and tεt0, applying Lebesgue’s theorem yields

lim sup c ε a e b d lim sup I ε a e b d ( t ε u )
= lim sup ( Φ V a ( 0 ) , K e ( 0 ) , P b ( 0 ) , Q d ( 0 ) * ( t ε u ) + o ε ( 1 ) )
= Φ V a ( 0 ) , K e ( 0 ) , P b ( 0 ) , Q d ( 0 ) * ( t 0 u )
Φ V a ( 0 ) , K e ( 0 ) , P b ( 0 ) , Q d ( 0 ) * ( u )
= m V a ( 0 ) , K e ( 0 ) , P b ( 0 ) , Q b ( 0 ) * .

We have an important upper bound for the mountain pass level cε in (2.2).

Lemma 3.2

We have

lim sup ε 0 c ε m β , ζ , τ max , ν max * .

Proof.

Since Vεa(x)=max{a,V(εx)}, Kεe(x)=max{e,K(εx)}, Pεb(x)=min{b,P(εx)} and Qεd(x)=min{d,Q(εx)}, if we choose a=κmin, e=γmin, b=τmax and d=νmax, then Vεa(x)=V(εx), Kεe(x)=K(εx), Pεb(x)=P(εx) and Qεd(x)=Q(εx). Consequently, by the definition of Iεaebd, we have cεaebd=cε. By Lemma 3.1, we have

lim sup ε 0 c ε m β , ζ , τ max , ν max * .

Next we only truncate the potential V(x) and P(x) with a=β and b[τmin,τmax) and consider the truncated energy functional

I ~ ε β ζ b ( u ) = 1 2 3 ( | u | 2 + V ε β ( x ) | u | 2 ) + 1 4 3 [ 1 | x | ( K ε ζ ( x ) u 2 ) ] K ε ζ ( x ) u 2 - 3 P ε b ( x ) G ( u ) - 1 6 3 Q ( ε x ) | u | 6 .

The corresponding Nehari manifold and least energy are 𝒩~εβζb and c~εβζb, respectively.

We have an important lower bound for the least energy c~εβζb.

Lemma 3.3

We have

c ~ ε β ζ b m β , ζ , b , ν max * .

Proof.

Since Vεβ(x)β, Kεζ(x)ζ, Pεb(x)b, Qε(x)νmax, from the characterization of the value mβ,ζ,b,νmax*, we know that

inf u E max t 0 I ~ ε β ζ b ( t u ) inf u E max t 0 Φ β , ζ , b , ν max * ( t u ) ,

i.e.,

c ~ ε β ζ b m β , ζ , b , ν max * .

4 Proofs of the Main Results

4.1 Proof of Theorem 1.3

In this part, we will prove the existence and concentration result in Theorem 1.3.

Lemma 4.1

Suppose that the potential functions V, K, P and Q satisfy (PQ1) and (PQ2), and the nonlinearity g satisfies (g1)(g4). Then the minimax value cε is achieved if ε is small enough. Hence, problem (2.1) has a solution of least energy if ε is small enough.

Proof.

From Lemmas 3.2 and 2.2,

lim sup ε 0 c ε m β , ζ , τ max , ν max * < S 3 / 2 3 ν max 1 / 2 .

Since the least energy cε can be characterized by

c ε = inf u 𝒩 ε I ε ( u ) ,

we can choose a minimizing sequence (un)𝒩ε of Iε such that Iε(un)cε. By Ekeland’s variational principle, we may also assume it is a bounded (PS) sequence at cε. If we assume that g(s)=0 for all s0, then a simple calculation gives un-0, and thus we can assume that un0 for all n. It is easy to see Iε(uε)=0. To complete the proof, we need to show that uε0 for ε small enough.

Assume, on the contrary, that there exists a sequence εj0 with uεj=0. For each fixed j, let un𝒩εj be the (PS) sequence at cεj such that unuεj=0 in E. Select τminb<τmax and consider the functional I~εjβζb, where the constants β,ζ are defined in (3.1). Note that for each un there exists a unique tn such that tnun𝒩~εjβζb. We claim that the sequence (tn) is bounded. Indeed, suppose by contradiction that tn as n. Since un is bounded with unεj2α, we know that there exist yn3 and r,δ>0 such that

B r ( y n ) | u n | 2 δ , n .

Otherwise, we have that

u n 0 in L s ( 3 ) , 2 < s < 6 , as n .

Notice that

I ε j ( u n ) - 1 6 I ε j ( u n ) , u n
= 1 3 u n ε j 2 + 1 12 3 [ 1 | x | ( K ( ε j x ) u n 2 ) ] K ( ε j x ) u n 2 + 3 P ( ε j x ) G ( u n ) - 1 6 3 P ( ε j x ) g ( u n ) u n .

Since P(x) is bounded, it is easy to see that

3 | u n | 2 3 c ε j + o n ( 1 ) .

Similarly, we have

3 Q ( ε j x ) | u n | 6 = 3 c ε j + o n ( 1 ) .

Moreover,

3 | u n | 2 - 3 Q ( ε j x ) | u n | 6 o n ( 1 ) .

Thus, by Hölder’s inequality and the best constant of the Sobolev imbedding, we get

3 | u n | 2 ν max 1 / 3 S ( 3 Q ( ε j x ) | u n | 6 ) 2 / 3 3 | u n | 2 + o n ( 1 ) ,

which implies

lim inf j c ε j S 3 / 2 3 ν max 1 / 2 ,

a contradiction. Thus, the sequence vn(x)=un(x+yn) is bounded in E and its weak limit vE is not zero. Hence, there exists Ω3 with |Ω|>0 such that

v ( x ) > 0 for all x Ω .

Since (un) and V are bounded and infx3Q(εx)>0,

t n 2 u n ε j 2 + t n 4 3 [ 1 | x | ( K ( ε j x ) u n 2 ) ] K ( ε j x ) u n 2 t n 6 3 Q ( ε j x ) | u n | 6 ,

which implies that (tn) is a bounded sequence. In the following, we assume that tnt0 as n. Hence,

c ~ ε j β ζ b I ~ ε j β ζ b ( t n u n )
= I ε j ( t n u n ) + 1 2 3 ( V ε j β ( x ) - V ( ε j x ) ) | t n u n | 2 + 1 4 3 3 ( K ε j ζ ( y ) K ε j ζ ( x ) - K ( ε j x ) K ( ε j x ) ) u 2 ( y ) u 2 ( x ) | x - y |
+ 3 ( P ( ε j x ) - P ε j b ( x ) ) G ( u n ) .

We have that unuε=0 in E and un0 in Llocq(3) for all q1. Thus, it is easy to see

3 ( V ε j β ( x ) - V ( ε j x ) ) | t n u n | 2 = { x : V ( ε j x ) β } ( β - V ( ε j x ) ) | t n u n | 2 = o n ( 1 ) ,

since {x:V(εjx)β} is bounded. Similarly, noticing that {x:P(εjx)b} is bounded and g(s) is of subcritical growth, we have

3 ( P ( ε j x ) - P ε j b ( x ) ) G ( u n ) = o n ( 1 ) .

Define

K n ( x ) := 3 K ( ε j y ) | t n u n ( y ) | 2 | x - y | ,

from the boundedness of K, (tn) and (un), Lemma 2.4 implies that there is a constant C such that |Kn(x)|<C. Consequently,

| 3 3 K ε j ζ ( y ) | t n u n ( y ) | 2 ( K ε j ζ ( x ) - K ( ε j x ) ) | t n u n ( x ) | 2 | x - y | | C 3 | ( K ε j ζ ( x ) - K ( ε j x ) ) | t n u n ( x ) | 2
C { x : K ( ε j x ) ζ } | K ( ε j x ) - ζ | | t n u n ( x ) | 2
= o n ( 1 ) ,

since {x:K(εjx)ζ} is bounded. Similarly,

3 3 K ε j ζ ( y ) | t n u n ( y ) | 2 ( K ε j ζ ( x ) - K ( ε j x ) ) | t n u n ( x ) | 2 | x - y | = o n ( 1 ) .

From the above arguments, we know that

c ~ ε j β ζ b I ε j ( t n u n ) + o n ( 1 ) I ε j ( u n ) + o n ( 1 ) .

Hence, cεjβζbcεj as n. From Lemma 3.3, since

m β , ζ , b , ν max * c ε j β ζ b ,

we have

m β , ζ , b , ν max * c ε j .

Taking the limit j+ and using Lemma 3.2, we get

m β , ζ , b , ν max * m β , ζ , τ max , ν max * .

Applying Lemma 2.3 and the fact that b<τmax yield a contradiction. ∎

Lemma 4.2

Let un be the solution obtained in Lemma 4.1 with εn0. Then there exists yn3 with εnyny0𝒜V𝒜K, i.e.,

lim n dist ( ε n y n , 𝒜 V 𝒜 K ) = 0 ,

such that the sequence vn(x):=un(x+yn) converges strongly in E to a ground state solution v of

- Δ v + V ( y 0 ) v + K 2 ( y 0 ) [ 1 | x | v 2 ] v = P ( y 0 ) g ( v ) + Q ( y 0 ) | v | 4 v .

Proof.

Let (un) be the sequence of solutions obtained in Lemma 4.1 with εn0. It is easy to see that (un) is bounded in E. Moreover, there exist r,δ>0 and a sequence (yn)3 such that

(4.1) lim inf n B r ( y n ) | u n | 2 δ .

By setting vn(x):=un(x+yn), V~εn(x)=V(εn(x+yn)), K~εn(x)=K(εn(x+yn)), P~εn(x)=P(εn(x+yn)) and Q~i,εn(x)=Q(εn(x+yn)), we see that vn solves the following problems separately:

- Δ v + V ~ ε n ( x ) v + [ 1 | x | ( K ~ ε n ( x ) v 2 ) ] K ~ ε n ( x ) v = P ~ ε n ( x ) g ( v ) + Q ~ ε n ( x ) | v | 4 v .

Since vn(x):=un(x+yn) is also bounded, from (4.2), we may assume that vnv in E with v0 and v0. Claim 1: The sequence εnyn must be bounded. Otherwise, if εnyn as n, we may suppose that V(εnyn)V0β, K(εnyn)K0ζ, P(εnyn)P0<τmax and Q(εnyn)Q0νmax. Since

I ~ ε n ( v n ) , ϕ = 0

for any ϕC0(3), equivalently, we must have

(4.2) 0 = 3 ( v n ϕ + V ~ ε n ( x ) v n ϕ ) + 3 [ 1 | x | ( K ~ ε n ( x ) v n 2 ) ] K ~ ε n ( x ) v n ϕ - 3 P ~ ε n ( x ) g ( v n ) ϕ - 3 Q ~ ε n ( x ) | v n | 4 v n ϕ .

Since

| 1 | x | ( K ~ ε n ( x ) v n 2 ) | < C ,

we have

| 3 [ 1 | x | ( K ~ ε n ( x ) v n 2 ) ] ( K ~ ε n ( x ) v n - K 0 v ) ϕ | C | 3 ( K ~ ε n ( x ) v n - K 0 v ) ϕ | .

It is easy to see that

| 3 ( K ~ ε n ( x ) v n - K 0 v ) ϕ | 0 for all ϕ C 0 ( 3 ) ,

and then we have

| 3 [ 1 | x | ( K ~ ε n ( x ) v n 2 ) ] ( K ~ ε n ( x ) v n - K 0 v ) ϕ | 0 for all ϕ C 0 ( 3 ) .

For any x, we have K~εn(x)vn2(x)K(y0)v2(x), and therefore K~εn(x)vn2 converges weakly to K0v2(x) in L6/5(3). Recall that for the convolution term we have that

1 | x | w ( x ) L 6 ( 3 ) for all w ( x ) L 6 / 5 ( 3 ) ,

and it is a linear bounded operator from L6/5(3) to L6(3). Consequently,

1 | x | ( K ~ ε n ( x ) v n 2 ) K 0 1 | x | v 2 in L 6 ( 3 ) .

Recalling that V,P,Q are uniformly continuous functions and taking the limit in (4.2), we get

0 = 3 ( v ϕ + V 0 v ϕ ) + K 0 2 3 [ 1 | x | v 2 ] v ϕ - P 0 3 g ( v ) ϕ - Q 0 3 | v | 4 v ϕ

for any ϕC0(3), which means that v is nothing but a solution of the equation

- Δ v + V 0 v + K 0 2 [ 1 | x | v 2 ] v = P 0 g ( v ) + Q 0 | v | 4 v .

Observe that Iεn(un)=I~εn(vn), and by Fatou’s lemma and Lemma 2.3, we can get

m β , ζ , τ max , ν max * < m V 0 , K 0 , P 0 , Q 0 *
Φ V 0 , K 0 , P 0 , Q 0 * ( v )
= Φ V 0 , K 0 , P 0 , Q 0 * ( v ) - 1 4 Φ V 0 , K 0 , P 0 , Q 0 * ( v ) , v
= 1 4 v V 0 2 + P 0 4 3 ( g ( v ) v - 4 G ( v ) ) + Q 0 12 3 | v | 6
lim inf n { 1 4 3 ( | v n | 2 + V ~ ε n ( x ) | v n | 2 ) + 1 4 3 P ~ ε n ( x ) ( g ( v n ) v n - 4 G ( v n ) ) + 1 12 3 Q ~ ε n ( x ) | v n | 6 }
= lim inf n I ~ ε n ( v n )
= lim inf n c ε n .

This contradicts Lemma 3.2, which asserts lim supncεnmβ,ζ,τmax,νmax*. Thus, (εnyn) is bounded, and we may assume εnyny0. Claim 2: y0𝒜V𝒜K. If y0𝒜V𝒜K, by the definitions of 𝒜V and 𝒜K, then it is easy to see that

m β , ζ , τ max , ν max * < m V ( y 0 ) , K ( y 0 ) , P ( y 0 ) , Q ( y 0 ) * .

Similar to the arguments in Claim 1, we know that v is a solution of the equation

- Δ v + V ( y 0 ) v + K ( y 0 ) 2 [ 1 | x | v 2 ] v = P ( y 0 ) g ( v ) + Q ( y 0 ) | v | 4 v .

Similar to the arguments of Claim 1, we have

m β , ζ , τ max , ν max * < m V ( y 0 ) , K ( y 0 ) , P ( y 0 ) , Q ( y 0 ) * = lim inf n c ε n .

Applying Lemma 3.2 again, we get

lim sup n c ε n m β , ζ , τ max , ν max * < m V ( y 0 ) , K ( y 0 ) , P ( y 0 ) , Q ( y 0 ) * lim inf n c ε n ,

which is absurd. Therefore, y0𝒜V𝒜K, which means limndist(εnyn,𝒜V𝒜K)=0.

Repeating the arguments in Lemma 3.1, we get

lim n I ~ ε n ( v n ) m V ( y 0 ) , K ( y 0 ) , P ( y 0 ) , Q ( y 0 ) * ,

consequently,

Φ V ( y 0 ) , K ( y 0 ) , P ( y 0 ) , Q ( y 0 ) * ( v ) = m V ( y 0 ) , K ( y 0 ) , P ( y 0 ) , Q ( y 0 ) * ,

and so v is in fact a ground state solution of the equation

- Δ v + V ( y 0 ) v + K ( y 0 ) 2 [ 1 | x | v 2 ] v = P ( y 0 ) g ( v ) + Q ( y 0 ) | v | 4 v .

Particularly, if K(x) is a constant, for simplicity K(x)1, then we may assume x* such that V(x*)=minxV(x). In this case, we can define

𝒜 V := { x : V ( x ) = V ( x * ) } { x : V ( x ) < V ( x * ) } .

Moreover, 𝒜V=𝒱 if 𝒱. It follows that limε0dist(εyε,𝒱)=0, and up to subsequences, vεn converges in E to a ground state solution v of

- Δ v + κ min v + [ 1 | x | v 2 ] v = τ max g ( v ) + ν max | v | 4 v .

Similarly, if V(x)1, then we may assume x* such that K(x*)=minxK(x). In this case, we can define

𝒜 K := { x : K ( x ) = K ( x * ) } { x : K ( x ) < K ( x * ) } .

Moreover, 𝒜K=𝒦 if 𝒦. Then it follows that limε0dist(εyε,𝒦)=0, and up to subsequences, vεn converges in E to a ground state solution v of

- Δ v + v + γ min 2 [ 1 | x | v 2 ] v = τ max g ( v ) + ν max | v | 4 v .

Finally, if V(x), K(x) and Q(x) are constants, then we know vεn converges in E to a ground state solution v of

- Δ v + v + [ 1 | x | v 2 ] v = τ max g ( v ) + | v | 4 v ,

which describes the concentration at the maximum set 𝒫 of the nonlinear potential P(x). Claim 3: (vn) converges strongly to v in E. Since V,P and Q are two uniformly continuous functions, using Brezis–Lieb Lemma [10], we can derive

I ~ ε n ( v n - v ) = I ~ ε n ( v n ) - Φ V ( y 0 ) , K ( y 0 ) , P ( y 0 ) , Q ( y 0 ) * ( v ) + o n ( 1 ) .

From Claim 2, we know that

lim n I ~ ε n ( v n ) = Φ V ( y 0 ) , K ( y 0 ) , P ( y 0 ) , Q ( y 0 ) * ( v ) .

Then it follows that

lim n I ~ ε n ( v n - v ) = 0 .

Similarly, we derive that

I ~ ε n ( v n - v ) 0 ,

which implies

lim n I ~ ε n ( v n - v ) , v n - v = 0 .

Hence,

v n - v 2 C lim n ( I ~ ε n ( v n - v ) - 1 θ I ~ ε n ( v n - v ) , v n - v ) = 0 ,

showing that vnv in E. ∎

Lemma 4.3

There exists C>0, independent of n, such that |vn|C and

lim | x | v n ( x ) = 0 uniformly in n .

Furthermore, there exist C, β>0 such that

| v n ( x ) | C exp ( - β | x | ) for all x 3 .

Proof.

From Lemma 4.2, we know that εnyny0𝒜V𝒜K as n and vn(x):=un(x+yn) converges strongly in E to a ground state solution v of

- Δ v + V ( y 0 ) v + K ( y 0 ) 2 [ 1 | x | v 2 ] v = P ( y 0 ) g ( v ) + Q ( y 0 ) | v | 4 v .

Notice that

0 < 1 | x | ( K ~ ε n ( x ) v n 2 ) < C .

By a result due to Brezis and Kato [9], we know that vnLq(3) for all 2q<. Furthermore, the elliptic regularity theory implies that vnC2(3). Moreover, vn satisfies

- Δ v n g ( v n ) ,

where g(vn)Lt(3), t>3/2. Applying a result of Trudinger [34], we know that |vn|<C and

lim | x | v n ( x ) = 0 uniformly in n .

Recall that by (4.1),

δ B r ( y n ) | u n | 2 ,

and then

δ B r ( 0 ) | v n | 2 | B r | | v n | 2 .

Thus, there exists δ such that |vn|δ.

The exponential decay property follows from a standard comparison arguments. Concentration behavior. If un is a solution of problem (2.1), then vn(x)=un(x+yn) is a solution of problem

- Δ v + V ~ ε n ( x ) v + [ 1 | x | ( K ~ ε n ( x ) v 2 ) ] K ~ ε n ( x ) v = P ~ ε n ( x ) g ( v ) + Q ~ ε n ( x ) | v | 4 v ,

where V~εn(x)=V(εnx+εnyn), K~εn(x)=K(εnx+εnyn), P~εn(x)=P(εnx+εnyn) and Q~εn(x)=Q(εnx+εnyn) with (yn)3 given in Lemma 4.2. Moreover, up to a subsequence,

v n v in E , y ~ n y 0 𝒜 V 𝒜 K ,

where y~n=εnyn. If bn denotes a maximum point of vn, from Lemma 4.3, we know it is a bounded sequence in 3. Thus, there exists R>0 such that bnBR(0). Thereby, the global maximum of un is zn=bn+yn and

ε n z n = ε n b n + ε n y n = ε n b n + y ~ n .

From the boundedness of (bn), we get the limit

lim n ε n z n = y 0 ,

which together with the continuity of V,K,P,Q gives

lim n V ( ε n z n ) = V ( y 0 ) , lim n K ( ε n z n ) = K ( y 0 ) ,
lim n P ( ε n z n ) = P ( y 0 ) , lim n Q ( ε n z n ) = Q ( y 0 ) .

We also point out that for any ε>0 the sequence εzε is bounded, where zε is the maximum point of the solution uε obtained in Lemma 4.1. Indeed, suppose that there exists εj0 and zεj of uεj such that εjzεj. Then, from the above arguments, we know that

ε j z ε j = ε j b ε j + ε j y ε j ,

where yεj is obtained in (4.1) by a non-vanishing argument with εjyεj bounded, and bεj is the maximum point of vεj=uεj(x+yεj). Consequently, εjzεj-εjyεj=εjbεj, which contradicts the fact that bεj lies in a ball BR(0). ∎

Proof of Theorem 1.3.

From Lemma 4.1, there exists a positive solution of (2.1) for ε>0 small enough. Therefore, the function wε(x)=uε(xε) is a positive solution of (2.1). Thus, the maximum points xε and zε of wε and uε, respectively, satisfy the equality xε=εzε. Setting vε(x):=wε(εx+xε), for any sequence xεx0 as ε0, it follows, by Lemma 4.2, that

lim ε 0 dist ( x ε , 𝒜 V 𝒜 K ) = 0

and vε converges in E to a ground state solution v of

- Δ v + V ( x 0 ) v + K 2 ( x 0 ) [ 1 | x | v 2 ] v = P ( x 0 ) g ( v ) + Q ( x 0 ) | v | 4 v .

From Lemma 4.3, for some c,C>0,

| w ε ( x ) | C exp ( - c ε | x - x ε | ) .

4.2 Proofs of Theorems 1.5 and 1.7

In this subsection, we will sketch only the proof of Theorem 1.5, since the proof of Theorem 1.7 is quite similar. First we introduce the auxiliary problem for equation (2.1) in case (KQ1) and (KQ2) hold. Without loss of generality, we may assume that x*=0𝒳 in (KQ2). Denote

β : = V ( 0 ) V ( x ) for all | x | R ,
ζ : = P ( 0 ) P ( x ) for all | x | R .

Instead of using Lemma 3.2, we can prove that

lim sup ε 0 c ε m β , γ min , ζ , ν max * .

Then, using Lemma 2.2, we have

(4.3) lim sup ε 0 c ε m β , γ min , ζ , ν max * < S 3 / 2 3 ν max 1 / 2 .

Define

V ε β ( x ) := max { β , V ( ε x ) } , K ε e ( x ) := max { e , K ( ε x ) } , P ε ζ ( x ) := min { ζ , P ( ε x ) }

with e(γmin,γmax]. In this way, we consider the truncated energy functional

I ~ ε β e ζ ( u ) = 1 2 3 ( | u | 2 + V ε β ( x ) | u | 2 ) + 1 4 3 [ 1 | x | μ ( K ε e ( x ) u 2 ) ] K ε e ( x ) u 2 - 3 P ε ζ ( x ) G ( u ) - 1 6 3 Q ( ε x ) | u | 6 .

The corresponding Nehari manifold is 𝒩~εβeζ and the least energy is c~εβeζ. Obviously,

c ~ ε β e ζ m β , e , ζ , ν max * .

Repeating the arguments in Section 3, we obtain

c ε j β e ζ c ε j .

Then we know that

m β , e , ζ , ν max * c ε j .

Taking the limit j+ and using (4.3), we get

m β , e , ζ , ν max * m β , γ min , ζ , ν max * ,

which is a contradiction, since e>γmin. The rest proof is similar to that given in Section 4.1.

Particularly, if V(x), P(x) and Q(x) are all constants, then limε0dist(εyε,𝒦)=0 and vεn converges in E to a ground state solution v of

- Δ v + v + γ min 2 [ 1 | x | v 2 ] v = g ( v ) + | v | 4 v ,

which describes the concentration at the minimum set 𝒦 of the potential K(x).

Award Identifier / Grant number: 11101374

Award Identifier / Grant number: 11271331

Award Identifier / Grant number: LY15A010010

Funding statement: The author acknowledges the support of NSFC (11101374, 11271331) and ZJNSF (LY15A010010).

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Received: 2015-01-11
Revised: 2015-07-02
Accepted: 3015-07-03
Published Online: 2016-06-05
Published in Print: 2016-08-01

© 2016 by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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