Startseite Existence and non-degeneracy of the normalized spike solutions to the fractional Schrödinger equations
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Existence and non-degeneracy of the normalized spike solutions to the fractional Schrödinger equations

  • Qing Guo und Yuhang Zhang EMAIL logo
Veröffentlicht/Copyright: 13. März 2025

Abstract

The present study investigates the existence and non-degeneracy of normalized solutions for the following fractional Schrödinger equation:

( Δ ) s u + V ( x ) u = a u p + μ u , x R N , u H s ( R N )

with the L 2 -restriction R N u 2 ( x ) d x = 1 , where s ( 0 , 1 ) , p ( 1 , 2 N N 2 s 1 ) , N > 2 s , a > 0 and V ( x ) is some smooth trapping potential. Via a Lyapunov-Schmidt variational reduction, we first construct solutions of the form

u a μ a a 1 p 1 j = 1 k U ( μ a ) 1 2 s ( x x a , j ) ,

where x a , j approach suitable critical points of V ( x ) , U ( x ) H s ( R N ) is the unique radially symmetric positive ground state solution of ( Δ ) s u + u = u p , u ( 0 ) = max x R N u ( x ) . Subsequently, the local Pohozaev identity techniques are applied to establish the non-degeneracy of such normalized solutions. This study successfully addresses the complexities arising from the non-local characteristics of the fractional Laplacian in the local analysis and pointwise estimates of solutions. In contrast to the unconstrained scenario, the mass-critical power, denoted as p = 4 s N + 1 , acts as a pivotal threshold. It delineates distinct ranges of values for p , each corresponding to vastly different concentration behaviors exhibited by the solutions. This phenomenon unequivocally underscores the profound impact of constraint conditions on the intricate dynamics of the solutions.

MSC 2010: 35B25; 35B44; 35B09

1 Introduction and main results

In this article, we investigate the concentrated solution to the following fractional Schrödinger equation:

(1.1) ( Δ ) s u + V ( x ) u = a u p + μ u , x R N , u H s ( R N ) ,

under the mass constraint

(1.2) R N u 2 ( x ) d x = 1 ,

where s ( 0 , 1 ) , a > 0 is an arbitrary dimensionless parameter, p ( 1 , 2 s * 1 ) with 2 s * = 2 N N 2 s is the fractional critical Sobolev exponent and V ( x ) satisfies

(1.3) V C 1 , α ( R N ) L ( R N ) , inf R N V ( x ) > 0 .

C 1 , α ( R N ) is a space that consists of those functions v that are one time continuously differentiable and whose α th -partial derivatives are Hölder continues with exponent α with 0 < α 1 .

The fractional Laplacian ( Δ ) s , which can be regarded as the infinitesimal generator of a stable Levy process [1], is widely used in many fields such as physics, biological modeling, mathematics, and finance. On the one hand, it can be directly expressed as

(1.4) ( Δ ) s u ( x ) = C n , s P.V. R N u ( x ) u ( y ) x y n + 2 s ,

where s ( 0 , 1 ) , C n , s > 0 , and P.V. represents Cauchy principal value. One could refer to [5,11] if they have more interests on it. On the other hand, by [6], this non-local operator ( Δ ) s in R N can also be expressed in a local form via the following elliptic boundary value problem in the half-space R + N + 1 = { ( x , y ) : x R N , y > 0 } :

div ( y 1 2 s u ˜ ) = 0 , x R + N + 1 , u ˜ ( x , 0 ) = u ( x ) , x R N ,

where u ˜ is the s -harmonic extension of u , which is defined as

u ˜ ( x , y ) = R N p s ( x z , y ) u ( z ) d z , ( x , y ) R + N + 1

with

p s ( x , y ) = d N , s y 2 s ( x 2 + y 2 ) N + 2 s 2

and the constant d N , s satisfies R N p s ( x , 1 ) d x = 1 . Then, under suitable regularity, ( Δ ) s u is the Dirichlet-to-Neumann map for this problem, and

div ( y 1 2 s u ˜ ) = 0 , x R + N + 1 , lim y 0 + y 1 2 s y u ˜ ( x , y ) = ω s ( Δ u ) s u ( x ) , x R N ,

where ω s = 2 1 2 s Γ ( 1 s ) Γ ( s ) . Moreover, it holds that

u ˜ L 2 ( t 1 2 s , R + N + 1 ) = ω s u H ˙ s ,

u ˜ L 2 ( y 1 2 s , ) for any compact set in R + N + 1 ¯ , u ˜ L 2 ( y 1 2 s , R + N + 1 ) and u ˜ C ( R + N + 1 ) . Without loss of generality, we may assume ω s = 1 .

For other problem with fractional Laplacian, one can refer to [24,6,9,10,1216,20,21,25,2729,31,32] and the references therein.

The aforementioned references all focus on studying the unconstrained problem. Our main emphasis is on understanding the impact of constraint conditions on the properties of the solutions. Precisely, we will discuss the existence and non-degeneracy of multiple spike solution to problem (1.1) and (1.2) with L 2 -constraint, concentrated at the isolated stable critical points of the potential V ( x ) .

With this purpose, the well-known results about the ground state of the following equation:

(1.5) ( Δ ) s u + u = u p , u > 0 , x R N , u ( 0 ) = max x R N u ( x )

should be considered. Suppose N 1 , s ( 0 , 1 ) , and 1 < p < 2 s * 1 , then the ground state solution U H s ( R N ) of (1.5) is unique, which is radial, positive, and strictly decreasing in x . Moreover, U H 2 s + 1 ( R N ) C ( R N ) and satisfies

C 1 1 + x N + 2 s U ( x ) C 2 1 + x N + 2 s for x R N ,

with some constants C 2 C 1 > 0 . By Lemma C.2 of [16], U x j also has the decay estimate

U x j C 1 + x N + 2 s

for j = 1 , , N . The linearized operator L 0 = ( Δ ) s + 1 p U p 1 is non-degenerate, i.e., its kernel is given by

ker L 0 = span U x 1 , U x 2 , , U x N .

We first consider the following problem without constraint:

(1.6) ( Δ ) s w + ( λ + V ( x ) ) w = w p , x R N , w H s ( R N ) ,

where λ > 0 is a large parameter. For any large λ > 0 , by the reduction argument, we constructed a positive k -spike solution for (1.6) of the form

w λ ( x ) = λ 1 p 1 j = 1 k U λ 1 2 s ( x x λ , j ) + h λ ,

with R N 1 λ ( Δ ) s 2 h λ 2 + h λ 2 = o λ N 2 s . Denote u λ = w λ R N w λ 2 1 2 , then we have R N u λ 2 = 1 , and there holds that

(1.7) ( Δ ) s u λ + ( λ + V ( x ) ) u λ = a λ u λ p , x R N , u λ H s ( R N ) .

In fact, let μ = λ , by discussing the relationship between the parameters a and μ in problem (1.1) and (1.2), we could obtain

a λ = R N w λ 2 p 1 2 = k λ 2 p 1 N 2 s ( a * + o ( 1 ) ) p 1 2 ,

where a * is defined as

a * = R N U 2

with an assumption that N 2 through out this article.

Set

(1.8) a 0 + if p 1 < 4 s N , ( k a * ) p 1 2 if p 1 = 4 s N , 0 if p 1 > 4 s N .

Then, one can find that a λ > 0 , and as λ + , a λ a 0 . Actually, we have found a k -spike solution to (1.7) with normalized L 2 -norm where a λ depends on λ . However, what we really care about is the inverse one: whether one can choose a suitable large λ = λ a > 0 , such that (1.1) and (1.2) hold with

μ = λ a ,

for any fixed a > 0 close to a 0 .

We call a family of non-negative functions { u a } concentrating at a set of points { c 1 , c 2 , , c k } R N , if there exist x a , j c j as a a 0 for j = 1 , , k and a non-negative functions U H s ( R N ) , which satisfies U ( x ) 0 and U ( 0 ) = max x R N U ( x ) , such that

(1.9) u a = μ a a 1 p 1 j = 1 k U ( μ a ) 1 2 s ( x x a , j ) + h a ,

with R N 1 μ a ( Δ ) s 2 h a 2 + h a 2 = o ( μ a ) N 2 s . We also call such an u a a k -spike solution for a close to a 0 .

The method of locating the concentration points x a , j of a solution u a satisfying (1.1) and (1.2) is standard. By use of the local Pohozaev identities, we will show that a k -spike solution of (1.1) and (1.2) must concentrate at some critical points of V ( x ) . Our first result is as follows.

Theorem 1.1

Suppose that the k-spike solution u a to (1.1) and (1.2) concentrates at some points x a , j with x a , j c j R N as a a 0 . Assume V ( x ) satisfies condition (1.3). Then, a 0 0 , μ a as a a 0 , and V ( c j ) = 0 , j = 1 , , k .

The converse of Theorem 1.1 is the existence of k -spike solutions u a to (1.1) and (1.2), and we have

Theorem 1.2

Under condition (1.3), if deg ( V , B r ( c j ) , 0 ) 0 for some r > 0 , c j R N , j = 1 , , k , and c j c i for j i , then (1.1) and (1.2) has a k-spike solution u a of the form (1.9), which concentrates at c 1 , , c k as a a 0 .

Moreover, if we suppose that the function V ( x ) has an isolated maximum point c 0 R N , then we can obtain a k -spike solution with k concentrated points close to the same point.

Theorem 1.3

Under condition (1.3), if c 0 R N is an isolated maximum point of V ( x ) , then for any integer k > 0 , problem (1.1) and (1.2) has a k-spike solution u a concentrating at c 0 .

Finally, we discuss the non-degeneracy of the solution to problem (1.1) and (1.2), or the non-degeneracy of the linear operator

(1.10) L ( ϕ ) ( Δ ) s ϕ + ( V ( x ) μ a ) ϕ a p u a p 1 ϕ .

The study of the non-degeneracy of peak solutions is of great significance as it can aid in further understanding the properties of concentrated solutions for the equation and has numerous interesting applications, such as the construction of new concentrated solutions, etc. The significance of studying non-degeneracy is thoroughly explained in [17]. Precisely, we obtain the following result.

Theorem 1.4

Assume that { c 1 , , c k } R N ( k 1 ) are non-degenerate critical points of V ( x ) which satisfies condition (1.3). Let { u a } be a positive solution to (1.1) and (1.2) concentrating at { c 1 , , c k } R N . If ϕ a is a solution of L ( ϕ ) = 0 , then ϕ a = 0 when a is near a 0 .

The construction and applications of Pohozaev identities remain vital for deducing the existence and various properties of the concentrated solutions such as the non-degeneracy of the spike solutions. However, the direct establishment of specific local Pohozaev identities proves challenging due to the inherent non-local characteristics of the fractional Laplacian. Consequently, we undertook a harmonic extension of the equation under investigation and conducted estimations for various integrals not typically encountered in conventional local Schrödinger problems, aiming to address this issue. Similar approaches can also be observed in [18] and related works.

Before concluding this section, let us make a comparison with the relevant results from previous researchers.

For the classical Bose Einstein Concentrations problem with s = 1 , p = 3 , N = 2 or 3, Luo et al. [23] recently have given a complete description of the solutions u a , which are related to the problem and concentrate at a * . That is, if u a is a solution of (1.1) and (1.2) with s = 1 , p = 3 , N = 2 or 3 and concentrates at some spikes as a a 0 , then there holds that

a 0 = k a * > 0 and μ a as a a 0 ,

where k is the number of concentration points of u a . Moreover, the existence and local uniqueness of such kind of solution are also provided in it. However, Luo et al. [23] applied a standard comparison method from the ODE theory in the proof of a non-existent result, which is of great importance for obtaining the main results, while that argument could not work in our problem. We use a sliding method corresponding to the non-local operator, which is developed by Chen et al. [8] and would be typically useful in addressing some other similar problems involving the fractional operator, to show such a result instead. Additionally, we discuss in detail the relationship between p and s in the article. In fact, we distinct the case of mass-subcritical, the mass-critical, and the mass-supercritical in our discussion, which, respectively, correspond to p 1 < 4 s N , p 1 = 4 s N , and p 1 > 4 s N .

Dávila et al. [12] considered the equation

(1.11) ε 2 s ( Δ ) s u + V ( x ) u u p = 0 , u > 0 , u H 2 s ( R N ) ,

where 1 < p < 2 s * 1 , ε is a small number, and V ( x ) is some smooth enough potential. As the small parameter ε 0 , they built solutions of (1.11) concentrating at the stable critical points of V ( x ) (with the definition of “stable” given in [22]). However, there is not any small parameter in our present problem, which makes the concentrating behavior of the spike solutions different from that in [12]. In fact, we need to carefully analyze the relationships between different parameters and constraint conditions to initiate the appropriate limiting processes a a 0 and set forth the framework of reduction. Moreover, we have utilized the local Pohozaev identity techniques to establish the non-degeneracy of normalized spike solutions, an aspect that has not been previously investigated in the literature.

This article is organized as follows. In Section 2, we study the necessary conditions for the existence of the concentrated solutions. Precisely, Theorem 1.1 is proved by applying the Moser iteration, a sliding method, blow-up analysis, and the local Pohozaev identities. Then, the existence of the normalized spike solutions (Theorems 1.2 and 1.3) is proved in Section 3 by the standard reduction argument. Finally, the non-degeneracy of the spike solutions is investigated in Section 4 by the use of the local Pohozaev identity techniques.

2 Necessary conditions

2.1 A useful tool

Lemma 2.1

Suppose that Q ( x ) satisfies Q > 1 in B R ( 0 ) \ B r ( 0 ) for some fixed r > 0 and large R > 0 . Then, the problem

(2.1) ( Δ ) s u = Q ( x ) u , u > 0 in R N

has no solution.

Proof

Conversely, suppose that there exists a solution u to (2.1). Take λ 1 and ϕ as the first eigenvalue of ( Δ ) s and its associated eigenfunction, which satisfy

( Δ ) s ϕ = λ 1 ϕ , x B , ϕ = 0 , x B c ,

where B B R ( 0 ) \ B r ( 0 ) is a large ball. Since R > 0 is large enough, it may hold that

λ 1 1 < Q ( x ) in B .

Denote v ( x ) = max x B ϕ ( x ) u ( x ) . u ( x ) . Based on the properties of the first eigenfunction of the fractional Laplace operator (see [[26], Proposition 4] and [24]), the definition of blow-up, and the assumption of the contradiction argument, max x B ϕ ( x ) u ( x ) is achievable. Thus, v ( x ) = max x B ϕ ( x ) u ( x ) u ( x ) is well-defined. It is obvious to find that v ( x ) ϕ ( x ) , and when x 0 B is the maximal point of ϕ ( x ) u ( x ) , we have v ( x 0 ) = ϕ ( x 0 ) . We are sufficed to prove v ( x ) > ϕ ( x ) to derive a contradiction.

Indeed, setting ζ = max x B ϕ ( x ) u ( x ) , one has

( Δ ) s v = ζ ( Δ ) s u = ζ Q ( x ) u ζ λ 1 u = λ 1 v λ 1 ϕ = ( Δ ) s ϕ ,

which implies that

( Δ ) s v ( Δ ) s ϕ in B .

Since v ϕ in B c and v ϕ , we apply the strong maximum principle [5, Theorem 3.1.2] to obtain v > ϕ , which is a contradiction.□

Proof of the first part of Theorem 1.1

We first prove μ a . On the contrary, we first suppose μ a [ A , A ] , where A is a large number. Since R N u a 2 = 1 , it is obvious to find that u a is uniformly bounded by the argument in [21]. That is to say u a does not blow up, which is a contradiction. On the other hand, if μ a + , we set Q ( x ) = μ a V ( x ) + a μ a p 1 . With the fact that u a concentrates at some points, one can suppose

a u a p 1 > 1 in R N \ B r ( 0 ) for some r > 0 ,

which implies that for any R > 0 ,

Q ( x ) > 1 for x B R ( 0 ) \ B r ( 0 ) .

By Lemma 2.1, this is also a contradiction.

It holds that a > 0 . Indeed, if not, then we have

( Δ ) s u a 0 ,

which, by the maximum principle corresponding to the fractional operator [21], gives u a 0 . This contradicts the concentration property of u a .□

2.2 Locating the spikes

Let ε = ( μ a ) 1 2 s and v a = ( μ a a ) 1 p 1 u a . Then, equation (1.1) is transformed into

(2.2) ε 2 s ( Δ ) s v a + ( 1 + ε 2 s V ( x ) ) v a = v a p , v a H s ( R N ) .

For any a > 0 , we define the norm v a as ( R N ε 2 s ( Δ ) s 2 v 2 + v 2 ) 1 2 .

According to the argument in Section 5 of [12], for the concentrating solution v a , one can choose a certain small σ < s fixed such that

(2.3) sup x R N j = 1 k 1 1 + x x a , j ε 2 N + 2 s σ 2 1 v a ( x ) <

holds. Harmonic extension of equation (2.2) yields

(2.4) div ( y 1 2 s Δ v ˜ a ) = 0 , x R + N + 1 , ε 2 s lim y 0 y 1 2 s y v ˜ a ( x , y ) = v a p ( 1 + ε 2 s V ( x ) ) v a , x R N .

Denote

B r ( x ) = { x R N : x x r } R N , B r + ( x ) = { X = ( x , y ) : X ( x , 0 ) r , y > 0 } R + N + 1 , B r + ( x ) = { X = ( x , y ) : X ( x , 0 ) r , y = 0 } R N , B r + ( x ) { X = ( x , y ) : X ( x , 0 ) = r , y > 0 } R + N + 1 , B r + ( x ) = B r + ( x ) B r + ( x ) .

By multiplying v ˜ a x i at both sides of (2.4) and integrating by parts on B r + ( x a , j ) with some r > 0 , we obtain the following translated Pohozaev identity:

(2.5) ε 2 s B r ( x a , j ) V ( x ) x i v a 2 = 2 ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a ν v ˜ a x i + ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a 2 ν i + B r ( x a , j ) ( 1 + ε 2 s V ( x ) ) v a 2 ν i 2 p + 1 B r ( x a , j ) v a p + 1 ν i .

Suppose that ( x x ) 2 + y 2 = r 2 , y > 0 , σ < s , then

v ˜ a ( x , y ) C i = 1 k R N y 2 s ( x ξ + y ) N + 2 s 1 ( 1 + ξ x a , j ε ) N + 2 s σ d ξ ε N i = 1 k 1 ( 1 + x x a , j ) N + 2 s σ

is derived by Lemma A.2.

Moreover, the following estimates can be deduced similarly:

x i v ˜ a ( x , y ) , ν v ˜ a ( x , y ) C ε N i = 1 k 1 ( 1 + x x a , j ) N + 2 s σ .

Hence, for the boundary terms in equation (2.5), we have that

2 ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a ν v ˜ a x i C ε 2 s ε 2 N B r + ( x a , j ) y 1 2 s i = 1 k 1 ( 1 + x x a , j ) N + 2 s σ 2 C ε 2 ( N + s ) ; ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a 2 ν i C ε 2 ( N + s ) ;

and

B r ( x a , j ) ( 1 + ε 2 s V ( x ) ) v a 2 ν i C ε 2 ( N + 2 s σ ) ; 2 p + 1 B r ( x a , j ) v a p + 1 ν i C ε ( p + 1 ) ( N + 2 s σ ) .

Therefore, for a given σ < s , equation (2.5) is equivalent to

(2.6) B r ( x a , j ) V ( x ) x i v a 2 = O ( ε 2 N ) ,

from which one can deduce the necessary conditions for the concentration points c j :

V ( c j ) = 0 , for j = 1 , , k .

Thus, we have concluded Theorem 1.1.□

2.3 Necessary conditions with parameters

Assume that there exists a k -spike solution to (2.2) of the following form:

(2.7) v a ( x ) = j = 1 k U ε , x a , j ( x ) + ψ a ( x ) ,

where

U ε , x a , j ( x ) = ( 1 + ε 2 s V ( x a , j ) ) 1 p 1 U ( 1 + ε 2 s V ( x a , j ) ) 1 2 s ( x x a , j ) ε ,

satisfying

ε 2 s ( Δ ) s v a + ( 1 + ε 2 s V ( x a , j ) ) v a = v a p , v a H s ( R N ) ,

and ψ a a = o ( ε N 2 ) .

Substituting (2.7) into (2.2) yields that

(2.8) ε 2 s ( Δ ) s ψ a + ( 1 + ε 2 s V ( x ) ) p j = 1 k U ε , x a , j p 1 ψ a = l a ( x ) + R a ( ψ a ) ,

where

l a ( x ) = ε 2 s j = 1 k ( V ( x ) V ( x a , j ) ) U ε , x a , j + j = 1 k U ε , x a , j p j = 1 k U ε , x a , j p

and

(2.9) R a ( ψ a ) = j = 1 k U ε , x a , j + ψ a p j = 1 k U ε , x a , j p p j = 1 k U ε , x a , j p 1 ψ a .

Letting

L a ψ a , ϕ a = R n ε 2 s ( Δ ) s 2 ψ a ( Δ ) s 2 ϕ + ( 1 + ε 2 s V ( x ) ) ψ a ϕ p j = 1 k U ε , x a , j p 1 ψ a ϕ ,

the linear operator L a is bounded from H s ( R N ) to itself.

Set

K a = span U ε , x a , j x i , j = 1 , , k ; i = 1 , , N ,

and

E a ω H s ( R N ) : ω , U ε , x a , j x i a = 0 , j = 1 , , k ; i = 1 , , N ,

where u , v a = R N ( ε 2 s ( Δ ) s 2 u ( Δ ) s 2 v + u v ) d x .

Define the projection P a from H s ( R N ) to E a as

(2.10) P a u = u j = 1 k i = 1 N b a , i , j U ε , x a , j x i ,

where the selection of b a , i , j satisfies the requirement that

P a u , U ε , x a , j x i a = 0 , j = 1 , , k , i = 1 , , N .

One can prove the following result by the standard method, see [[7], Prop 2.2.3].

Lemma 2.2

There exists a , δ 0 > 0 , and ρ > 0 , which are independent of c j , j = 1 , , k , such that for any a a 0 a ,

(2.11) P a L a ψ a ρ ψ a , ψ E a .

In order to give the quantity relationship of parameters in (1.1), it is necessary to estimate the error term of the spike solution of (2.2).

Lemma 2.3

A k-spike solution v a of (2.2) concentrating at c 1 , , c k of the form v a ( x ) = j = 1 k U ε , x a , j ( x ) + ψ a ( x ) , with ψ a E a satisfies that

(2.12) ψ a a = O j = 1 k V ( x a , j ) ε N 2 + 2 s + 1 + ε N 2 + 2 s + 2 + O ε N 2 + p 2 ( N + 2 s ) i f 1 < p 2 , O ε N 2 + ( N + 2 s ) i f p > 2 .

Proof

We are sufficed to estimate l a ( x ) a .

For any ϕ H s ( R N ) ,

l a ( x ) , ϕ a = ε 2 s j = 1 k R N ( V ( x ) V ( x a , j ) ) U ε , x a , j ϕ + R N j = 1 k U ε , x a , j p j = 1 k U ε , x a , j p ϕ D 1 + D 2 .

The estimate of D 1 is as follows:

D 1 = ε 2 s j = 1 k R N ( V ( x ) V ( x a , j ) ) U ε , x a , j ϕ ε 2 s j = 1 k B δ ( x a , j ) ( V ( x a , j ) . ( x x a , j ) + O ( x x a , j 2 ) ) U ε , x a , j ϕ + C ε 2 s j = 1 k B δ c ( x a , j ) U ε , x a , j 2 1 2 ϕ L 2 C ε 2 s + N 2 + 1 j = 1 k V ( x a , j ) . ϕ a + ε 2 s + N 2 + 2 ϕ a .

In addition, since

D 2 = R N j = 1 k U ε , x a , j p j = 1 k U ε , x a , j p ϕ = O R N j i U ε , x a , j p 1 U ε , x a , i ϕ if p > 2 , O R N j i U ε , x a , j p 2 U ε , x a , i p 2 ϕ if 1 < p 2 ,

we can apply Lemma A.1 to directly calculate that for p > 2

R N j i U ε , x a , j p 1 U ε , x a , i ϕ C R N j i U ε , x a , j 2 ( p 1 ) U ε , x a , i 2 R N ϕ 2 1 2 C ε N 2 j i R N 1 1 + x x a , j ε 2 ( p 1 ) ( N + 2 s ) 1 1 + x x a , j ε 2 ( N + 2 s ) 1 2 ϕ a C ε N 2 j i 1 x a , j x a , i ε N + 2 s R N 1 1 + x x a , j ε 2 ( p 1 ) ( N + 2 s ) + 1 1 + x x a , j ε 2 ( N + 2 s ) 1 2 ϕ a C ε N 2 + N + 2 s ϕ a ;

and for 1 < p 2 ,

R N j i U ε , x a , j p 2 U ε , x a , i p 2 ϕ C R N j i U ε , x a , j p U ε , x a , i p 1 2 R N ϕ 2 1 2 C ε N 2 j i R N 1 1 + x x a , j ε p ( N + 2 s ) 1 1 + x x a , j ε p ( N + 2 s ) 1 2 ϕ a C ε N 2 j i 1 x a , j x a , i ε p 2 ( N + 2 s ) ϕ a C ε N 2 + p 2 ( N + 2 s ) ϕ a .

Then, (2.12) can be obtained easily.□

Considering the estimate of ψ a , the relationship between a and μ can be obtained.

Proposition 2.4

If u a is a solution of (1.1) and (1.2), then there holds that

a 2 p 1 = j = 1 k ( V ( x a , j ) μ ) 2 p 1 N 2 s R N U 2 + O j = 1 k V ( x a , j ) ( μ ) 2 p 1 1 N 2 s 1 2 s + ( μ ) 2 p 1 1 N 2 s 1 s + O j i ( μ ) 2 p 1 N s 1 x a , j x a , i ( N + 2 s ) + O ( μ ) 2 p 1 N 2 s p N 4 s p 2 i f 1 < p 2 , O ( μ ) 2 p 1 N s 1 i f p > 2 .

Proof

Let u a be a solution of (1.1) and (1.2). There holds that

1 = R N u a ( x ) 2 = R N j = 1 k ( V ( x a , j ) μ a ) 1 p 1 U ( ( V ( x a , j ) μ ) 1 2 s ( x x a , j ) ) + ( μ a a ) 1 p 1 ψ a 2 + j i ( V ( x a , j ) μ ) 1 p 1 N 2 s a 2 p 1 ( V ( x a , i ) μ ) 1 p 1 = j = 1 k ( V ( x a , j ) μ ) 2 p 1 N 2 s a 2 p 1 R N U 2 + j = 1 k ( μ ) 1 p 1 a 2 p 1 ( V ( x a , j ) μ ) 1 p 1 N 4 s O ( ψ a a ) + O ( j i ( V ( x a , j ) μ ) 1 p 1 N 2 s ( V ( x a , i ) μ ) 1 p 1 N 2 s 1 a 2 p 1 x a , i x a , j ( N + 2 s ) ) + ( μ ) 2 p 1 a 2 p 1 R N ψ a 2 = j = 1 k ( V ( x a , j ) μ ) 2 p 1 N 2 s a 2 p 1 R N U 2 + ( μ ) 2 p 1 N 4 s a 2 p 1 O j = 1 k V ( x a , j ) ε N 2 + 2 s + 1 + ε N 2 + 2 s + 2 + O j i ( μ ) 2 p 1 N s 1 a 2 p 1 x a , i x a , j ( N + 2 s ) + ( μ ) 2 p 1 N 4 s a 2 p 1 O ( ε N 2 + p 2 ( N + 2 s ) ) if 1 < p 2 , O ( ε N 2 + ( N + 2 s ) ) if p > 2 .

3 Existence of the normalized spike solutions

3.1 Existence without constraint

In order to investigate the existence of spike solutions of (1.1) and (1.2), we first consider a similar problem without constraint, that is

(3.1) ( Δ ) s w + ( λ + V ( x ) ) w = w p , x R N , w H s ( R N ) ,

where λ > 0 is a large parameter.

With the purpose of constructing positive k -spike solutions of (3.1) concentrated at some stable points of V ( x ) by standard reduction argument, we set η = λ 1 2 s and ω ( x ) λ 1 p 1 w ( x ) . Therefore, (3.1) turns to

(3.2) η 2 s ( Δ ) s ω + ( 1 + η 2 s V ( x ) ) ω = ω p , x R N , ω H s ( R N ) ,

or

div ( y 1 2 s ω ˜ ) = 0 , x R + N + 1 , η 2 s lim y 0 y 1 2 s y ω ˜ ( x , y ) = ω p ( 1 + η 2 s V ( x ) ) ω , x R N .

We define u , v η R N ( η 2 s ( Δ ) s 2 u ( Δ ) s 2 v + u v ) . Similar to the proof of (2.6), it can be obtained that

(3.3) B r ( x η , j ) V ( x ) x i ω η 2 = O ( η 2 N ) ,

where x η , j is the local maximum points of a k-spike solution ω for (3.2) satisfying x η , j c j R N as η 0 .

In the following, for η > 0 small, we construct a k -spike solution u η to (3.2) concentrating at c 1 , , c k of the form

(3.4) ω η ( x ) = j = 1 k U η , x η , j + h η , ,

where

U η , x η , j = ( 1 + η 2 s V ( x η , j ) ) 1 p 1 U ( 1 + η 2 s V ( x η , j ) ) 1 2 s ( x x η , j ) η .

Similar to (2.8), we can obtain

η 2 s ( Δ ) s h η + ( ( 1 + η 2 s V ( x ) ) p j = 1 k U η , x η , j p 1 ) h η = l η ( x ) + R η ( h η ) ,

where

l η ( x ) = η 2 s j = 1 k ( V ( x ) V ( x η , j ) ) U η , x η , j + j = 1 k U η , x η , j p j = 1 k U η , x η , j p

and

(3.5) R η ( h η ) = ( j = 1 k U η , x η , j + h η ) p j = 1 k U η , x η , j p p j = 1 k U η , x η , j p 1 h η .

Let L η be the bounded linear operator from H s ( R N ) to itself defined as

L η h η , ϕ η = η 2 s ( Δ ) s 2 h η ( Δ ) s 2 ϕ + ( 1 + η 2 s V ( x ) ) h η ϕ p j = 1 k U η , x η , j p 1 h η ϕ .

Denote

H η = v H s ( R N ) : v , U η , x η , j x j η = 0 , j = 1 , , k , i = 1 , , N .

Proposition 3.1

There exists an η 0 > 0 , such that for any η ( 0 , η 0 ] , there exists h η so that

R N ( η 2 s ( Δ ) s 2 ω η ( Δ ) s 2 ϕ + ( 1 + η 2 s V ( x η , j ) ) ω η ϕ ) = R N ω η p ϕ for all ϕ H η .

Proof

Similar to the proof of (2.12), we can also prove that

l η ( x ) η = O ( j = 1 k V ( x η , j ) η N 2 + 2 s + 1 + η N 2 + 2 s + 2 ) + O ( η N 2 + p 2 ( N + 2 s ) ) if 1 < p 2 , O ( η N 2 + ( N + 2 s ) ) if p > 2

and

h η η C l η ( x ) η .

In addition,

R η ( h η ) η C η N ( 1 min ( p , 2 ) + 1 2 ) h η η min ( p , 2 ) .

Then, the conclusion can be obtained by the contraction mapping theorem.□

Applying the standard reduction arguments, a k -spike solution to (3.1) can be constructed as follows.

Theorem 3.2

Suppose that c j is a critical point of V ( x ) satisfying deg ( V , B r ( c j ) , 0 ) 0 , j = 1 , , k . For λ > 0 large, (3.1) has a solution ω λ of the form

ω λ = λ 1 p 1 j = 1 k U ( λ 1 2 s ( x x λ , j ) ) + h λ ,

for some x λ , j B r ( c j ) , and R N ( 1 λ ( Δ ) s 2 h λ 2 + h λ 2 ) 0 as λ + .

Proof

According to Proposition 3.1, the problem

η 2 s ( Δ ) s ω η + ( 1 + η 2 s V ( x η , j ) ) ω η ω η p = j = 1 k i = 1 N b η , i , j U η , x η , j x i

has a unique solution for fixed small η with some constants b η , i , j . We are going to ensure b η , i , j = 0 by determining the position of the concentration points x η , j .

Indeed, we need to choose x η , i such that for i = 1 , 2 , , k , j = 1 , , N , there is

0 = B r ( x η , i ) η 2 s ( Δ ) s 2 ω η ( Δ ) s 2 U η , x η , j x i + ( 1 + η 2 s V ( x η , j ) ) ω η U η , x η , j x i ω η p U η , x η , j x i = B r ( x η , i ) η 2 s ( Δ ) s 2 m = 1 k U η , x η , m ( Δ ) s 2 U η , x η , j x i + ( 1 + η 2 s V ( x η , j ) ) m = 1 k U η , x η , m U η , x η , j x i m = 1 k U η , x η , m p U η , x η , j x i + η N + 2 s O ( η m i n ( N 1 , 2 s + 1 , ( 2 s + 1 ) ( p 1 ) ) ) = 1 2 η N + 2 s V ( x η , j ) x i R N U η , x η , j 2 ( η x + x η , j ) + O ( η N + 2 s + 1 ) + η N + 2 s O ( η m i n ( N 1 , 2 s + 1 , ( 2 s + 1 ) ( p 1 ) ) ) ,

which implies

(3.6) V ( x η , j ) = O ( η m i n ( 1 , ( 2 s + 1 ) ( p 1 ) ) ) .

By the assumption that deg ( V , B r ( c j ) , 0 ) 0 , j = 1 , , k , it can be deduced that (3.6) has a solution x η , j B r ( c j ) and the proof of this theorem is completed.□

3.2 Proof of theorem 1.4

Now, we are in a position to prove Theorem 1.2.

Proof

Denote u λ = w λ R N w λ 2 1 2 , where w λ is a k -spike solution obtained from Theorem 3.2. Thus, R N u λ 2 = 1 and

(3.7) ( Δ ) s u λ + V ( x ) u λ = a λ u λ p λ u λ , a λ = R N w λ 2 p 1 2 .

By a similar proof to Proposition 2.4, one has

a λ = R N w λ 2 p 1 2 = k λ 2 p 1 N 2 s ( a * + o ( 1 ) ) p 1 2 a 0 as λ + ,

where a 0 = 0 if 2 p 1 N 2 s < 0 , a 0 = ( k a * ) p 1 2 if 2 p 1 N 2 s = 0 , and a 0 = + while 2 p 1 N 2 s > 0 .

Therefore, we can take a λ 0 large enough and set e = R N w λ 0 2 . If 2 p 1 N 2 s < 0 , for any a ( 0 , e ) , by the mean value theorem, there must be a large λ a , such that the solution u a to (1.1) with λ = λ a satisfies R N w λ a 2 = a . Moreover, for such a , one can give a k -spike solution to (1.6) with μ a = λ a .

Similar to the above, if 2 p 1 N 2 s = 0 , for any a between e and ( k a * ) p 1 2 , while if 2 p 1 N 2 s > 0 , for any a > e large enough, there must be a large λ a , such that the solution u a to (1.1) with λ = λ a satisfies R N w λ a 2 = a . Moreover, for such a , one can give a k -spike solution to (1.6) with μ a = λ a .□

3.3 Clustering spike solutions

Proposition 3.3

Suppose c 0 is an isolated strict local maximum point of V ( x ) . Then, for any integer k > 0 , there exists η 0 > 0 , such that for any η ( 0 , η 0 ] , problem (3.1) has a solution of the form

ω η ( x ) = j = 1 k U η , x η , j + h η , ,

for some x η , j B r ( c 0 ) , j = 1 , , k , and h η η = o η N 2 . In addition, as η 0 , x η , j c 0 , x η , j x η , m η + if m j .

Define

I ( u ) = 1 2 R N ( η 2 s ( Δ ) s 2 u 2 + ( 1 + η 2 s V ( x ) ) u 2 ) 1 p + 1 R N u p + 1 ,

Lemma 3.4

We have the following estimate

I j = 1 k U η , x j = j = 1 k ( 1 + η 2 s V ( x η , j ) ) p + 1 p 1 N 2 s E η N j > m ( a 0 + o ( 1 ) ) η N η x η , m x η , j N + 2 s + O η N + 2 s + 1 + η N j > m η x η , m x η , j N + 2 s + τ ,

where a 0 > 0 , τ > 0 is a small constant:

E = 1 2 1 p + 1 R N U p + 1 > 0 .

Proof

Since

ε 2 s ( Δ ) s U η , x η , j U η , x η , m + ( 1 + ε 2 s V ( x a , j ) ) U η , x η , j U η , x η , m = U η , x η , j p U η , x η , m

and

R N η 2 s V ( x ) U η , x η , j U η , x η , m = η 2 s V ( x η , j ) R N U η , x η , j U η , x η , m + O ( η N + 2 s + 1 ) .

We have

1 2 R N η 2 s ( Δ ) s 2 j = 1 k U η , x η , j 2 + ( 1 + η 2 s V ( x ) ) j = 1 k U η , x η , j 2 = 1 2 j = 1 k R N η 2 s ( Δ ) s 2 U η , x η , j 2 + ( 1 + η 2 s V ( x ) ) ( U η , x η , j ) 2 + j = 1 k j > m R N η 2 s ( Δ ) s 2 U η , x η , j ( Δ ) s 2 U η , x η , m + ( 1 + η 2 s V ( x ) ) U η , x η , j U η , x η , m = 1 2 j = 1 k R N η 2 s ( Δ ) s 2 U η , x η , j 2 + ( 1 + η 2 s V ( x ) ) ( U η , x η , j ) 2 + j = 1 k j > m R N ( U η , x η , j p U η , x η , m ) + O ( η N + 2 s + 1 ) .

We also have

1 p + 1 R N j = 1 k U η , x η , j p + 1 = 1 p + 1 j = 1 k R N U η , x η , j p + 1 + 1 p + 1 R N j = 1 k U η , x η , j p + 1 1 p + 1 j = 1 k R N U η , x η , j p + 1 .

Moreover,

1 2 j = 1 k R N η 2 s ( Δ ) s 2 U η , x η , j 2 + ( 1 + η 2 s V ( x ) ) ( U η , x η , j ) 2 1 p + 1 j = 1 k R N U η , x η , j p + 1 = j = 1 k 1 2 1 p + 1 R N U η , x η , j p + 1 = j = 1 k 1 2 1 p + 1 ( 1 + η 2 s V ( x η , j ) ) p + 1 p 1 N 2 s η N R N U p + 1

and

j = 1 k j > m R N ( U η , x η , j p U η , x η , m ) 1 p + 1 R N j = 1 k U η , x η , j p + 1 1 p + 1 j = 1 k R N U η , x η , j p + 1 = j = 1 k j > m R N ( U η , x η , j p U η , x η , m ) + η N j > m η x η , m x η , j N + 2 s + τ = j > m ( a 0 + o ( 1 ) ) η N η x η , m x η , j N + 2 s + O η N j > m η x η , m x η , j N + 2 s + τ .

Thus, the result can be obtained.□

Proof of Proposition 3.3

The key is to prove that the energy functional I ( ω η ( x ) ) has a critical point, which is to attain its maximum value within a bounded region.

Define

K ( x η , 1 , , x η , k ) = I ( j = 1 k U η , x η , j + h η ) .

Since

l η ( x ) η = O η N 2 + 2 s + 1 + η N 2 j i η x η , j x η , i min p 2 , 1 ( N + 2 s )

and

h η η C l η ( x ) η ,

it is standard to find that I j = 1 k U η , x j is the main term of K ( x η , 1 , , x η , k ) .

Now, we set

D = ( x η , 1 , , x η , k ) : x η , j B δ ( c ) ¯ , j = 1 , , k , x m x j θ η l n 1 η , m j .

Denote

S η = { ( x ˜ η , 1 , , x ˜ η , k ) : x ˜ η , j c η σ , x ˜ η , j x ˜ η , m η 1 σ , m j } ,

where 1 σ δ > 0 . for any x ˜ η = ( x ˜ η , 1 , , x ˜ η , k ) S η , one has

K ( x ˜ η ) = C k ( 1 + η 2 s V ( c 0 ) ) p + 1 p 1 N 2 s η N + η N + 2 s O ( η 2 σ ) .

It is easy to prove that the function value of K ( x η ) at the point on the boundary of region D is strictly less than K ( x ˜ η ) , which implies that the maximum value of K ( x η ) is obtained within a closed set.□

4 Non-degeneracy

In the last, we will prove the non-degeneracy of the solution to problem (1.1) and (1.2) concentrating at k , k 2 , different non-degenerate critical points. Define

(4.1) L a ( ϕ ) = ε 2 s ( Δ ) s ϕ + ( 1 + ε 2 s V ( x ) ) ϕ p v a p 1 ϕ ,

which is equivalent to the linear operator (1.10) when set ε = ( μ a ) 1 2 s , v a = ( μ a a ) 1 p 1 u a . We show that such a corresponding linear operator is non-degenerate and have the following theorem.

Theorem 4.1

Assume that { c 1 , , c k } R N ( k 1 ) are non-degenerate critical points of V ( x ) , which satisfies condition (1.3). Let { v a } be a positive solution to (2.2) concentrating at { c 1 , , c k } R N . If ϕ a is a solution of L a ( ϕ ) = 0 , then ϕ a = 0 for a near a 0 .

It is obvious that the theorem above is equivalent to Theorem 1.4. We first recall the following known results.

Proposition 4.2

Let { v a ( x ) } be the solution of (2.2) and L a ( ϕ a ) = 0 . Then, we have the local Pohozaev identity (2.5) and

(4.2) ε 2 s B r ( x a , j ) V ( x ) x i v a ϕ a = ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a ν ϕ ˜ a x i + ϕ ˜ a ν v ˜ a x i + ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a , ϕ ˜ a ν i + B r ( x a , j ) ( ( 1 + ε 2 s V ( x ) ) v a ϕ a ν i v a p ϕ a ν i ) .

Proof

Identity (4.2) is obtained by multiplying ϕ ˜ a x i and v ˜ a x i on both sides of (2.4) and

(4.3) div ( y 1 2 s Δ ϕ ˜ a ) = 0 , x R + N + 1 , ε 2 s lim y 0 y 1 2 s y ϕ ˜ a ( x , y ) = p v a p 1 ϕ ( 1 + ε 2 s V ( x ) ) ϕ a , x R N ,

respectively, and integrating on B r + ( x a , j ) , where (4.3) is the equation that the extension of ϕ a satisfies. We omit the details.□

Proposition 4.3

For ϕ a ( x ) satisfying L a ( ϕ a ) = 0 , we have

(4.4) ϕ a a = O ( ε N 2 ) .

Proof

From

ε 2 s ( Δ ) s ϕ a + ( 1 + ε 2 s V ( x ) ) ϕ a = p v a p 1 ϕ a ,

one has

(4.5) ϕ a a 2 = R N p v a p 1 ϕ a 2 d x R N ε 2 s V ( x ) ϕ a 2 d x

Then, by the Hölder inequality and Young’s inequality, we obtain

(4.6) R N p v a p 1 ϕ a 2 d x C R N v a p + 1 p 1 p + 1 ( R N ϕ a p + 1 ) 2 p + 1 C R N v a p + 1 p 1 p + 1 ( R N ϕ a 2 ) 2 p + 1 C ε N ( 1 p + 1 2 ) p 1 p + 1 v a p 1 ϕ a a 4 p + 1 C ε ( p 1 ) N p + 1 ϕ a a 4 p + 1 C ε N + 1 4 ϕ a a 2 .

On the other hand, there is

(4.7) R N ε 2 s V ( x ) ϕ a 2 d x C ε 2 s ϕ a a 2 .

Thus, we have (4.4) by combining (4.5), (4.6), and (4.7).□

Then, we have the following modified estimates.

Proposition 4.4

Let { v a ( x ) } be the solution of (2.2) concentrating at k different non-degenerate critical points { c 1 , , c k } R N of V ( x ) . Then, there holds

x ε , j c j = o ( ε ) for j = 1 , 2 , , k .

Proof

The proposition can be proven by the Pohozaev identity (2.4). Precisely, we provide estimates of the terms at both sides of

(4.8) ε 2 s B r ( x a , j ) V ( x ) x i v a 2 = 2 ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a ν v ˜ a x i + ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a 2 ν i + B r ( x a , j ) ( 1 + ε 2 s V ( x ) ) v a 2 ν i 2 p + 1 B r ( x a , j ) v a p + 1 ν i .

Since

V ( x ) x i = V ( x ) x i V ( c j ) x i = l = 1 N ( x l c j l ) 2 V ( c j ) x i x l + o ( x c j ) for i = 1 , , N ,

for some r > 0 , the solution (2.7) of equation (2.2) gives

(4.9) ε 2 s B r ( x a , j ) V ( x ) x i v a 2 ( x ) d x = ε 2 s B r ( x a , j ) V ( x ) x i U ε , x a , j 2 ( x ) + o ( ε N + 2 s + 1 + ε N + 2 s x a , j c j ) = C ε N + 2 s R N U 2 ( x ) d x l = 1 N 2 V ( c j ) x i x l ( x a , j l c j l ) + o ( ε N + 2 s + 1 + ε N + 2 s x a , j c j ) .

On the other hand, the left side of equation (4.8)

(4.10) 2 ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a ν v ˜ a x i + ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a 2 ν i + B r ( x a , j ) ( 1 + ε 2 s V ( x ) ) v a 2 ν i 2 p + 1 B r ( x a , j ) v a p + 1 ν i = O ( ε 2 N + 2 s ) .

Thus,

(4.11) l = 1 N 2 V ( c j ) x i x l ( x a , j l c j l ) = o ( x a , j c j ) + o ( ε ) ,

which together with the assumption that c j , j = 1 , , k , are the non-degenerate critical points of V ( x ) implies the conclusion.□

Next, we prove Theorem 4.1 by contradiction. Assume that there exists a m a 0 satisfying

ϕ a m L = 1 and L a m ϕ a m = 0 .

In the following, we will replace a m by a for simplicity.

Lemma 4.5

Let ϕ a , j ( x ) = ϕ a ( ε x + x a , j ) . Taking a sub-sequence of ϕ a , j ( x ) , (still denote by itself), then there holds

(4.12) ϕ a , j i = 1 N a j , i U ( x ) x i

uniformly in C 1 ( B ρ ( 0 ) ) for any ρ > 0 , where ϕ a ( x ) is the solution to L a ( ϕ ) = 0 , and a j , i ( j = 1 , , k , i = 1 , , N ) are some constants.

Proof

In view of ϕ a , j L ( R N ) 1 , by the regularity theory, one can deduce that

ϕ a , j C loc 1 , α ( R N ) .

Then, we may assume that

ϕ a , j ( x ) ϕ j ( x ) in C loc ( R N ) .

Since

( Δ ) s ϕ a , j ( x ) = ( 1 + ε 2 s V ( ε x + x a , j ) ) ϕ a , j ( x ) + p v a p 1 ( ε x + x a , j ) ϕ a , j ( x ) ,

for any given η ( x ) C 0 ( R N ) , we have

R N ( ( Δ ) s ϕ a , j ( x ) + ( 1 + ε 2 s V ( ε x + x a , j ) ) ϕ a , j ( x ) ) η ( x ) d x = p R N U ε , x a , j p 1 ( ε x + x a , j ) ϕ a , j ( x ) η ( x ) d x + o ( 1 ) η H 1 ( R N ) .

According to the elliptic regularity theory, one can find that ϕ j ( x ) satisfies

( Δ ) s ϕ j ( x ) + ϕ j ( x ) p U p 1 ( x ) ϕ j ( x ) = 0 .

Thus, by the non-degeneracy of the linearized operator ( Δ ) s + 1 p U p 1 , there holds that ϕ j ( x ) = i = 1 N a j , i U ( x ) x i , which implies (4.12).□

Let

ϕ a ( x ) = j = 1 k i = 1 N a j , i U ε , x a , j ( x ) x i + ϕ a * ( x ) ,

where

ϕ a * ( x ) E a = { ω H s ( R N ) : ω , U ε , x a , j x i a = 0 , j = 1 , , k ; i = 1 , , N } .

Lemma 4.6

It holds

ϕ a * L = C ε N 2 + min { 2 s , p 1 2 ( N + 2 s ) 1 } if 2 < p 3 , C ε 2 s + N 2 if p > 3 or 1 < p 2 .

Proof

Since

0 = L a m ϕ a m = L a m j = 1 k i = 1 N a j , i U ε , x a , j ( x ) x i + L a m ϕ a * ( x ) ,

it holds that

L a m ϕ a * ( x ) = L a m j = 1 k i = 1 N α j , i U ε , x a , j ( x ) x i = j = 1 k i = 1 N α j , i ε 2 s ( Δ s ) U ε , x a , j ( x ) x i + ( 1 + ε 2 s V ( x ) ) U ε , x a , j ( x ) x i p v a p 1 j = 1 k i = 1 N α j , i U ε , x a , j ( x ) x i = j = 1 k i = 1 N α j , i ε 2 s ( V ( x ) V ( x a , j ) ) U ε , x a , j ( x ) x i p v a p 1 j = 1 k U ε , x a , j p 1 j = 1 k i = 1 N α j , i U ε , x a , j ( x ) x i ,

where α j , i is a constant. Similar to the proof of Lemma 2.3, one can obtain

ε 2 s ( V ( x ) V ( x a , j ) ) U ε , x a , j ( x ) x i L C ε 2 s + N 2

and

v a p 1 j = 1 k U ε , x a , j p 1 U ε , x a , j ( x ) x i L C ε N 2 + p 1 2 ( N + 2 s ) 1 if 2 < p 3 , C ε N 2 + ( N + 2 s ) 1 if p > 3 or 1 < p 2 .

In addition, since ϕ a * ( x ) E a , similar to Lemma 2.2, one can prove that

L a ϕ a * L ρ ϕ a * L

for some ρ > 0 . Thus, we have completed the proof.□

Lemma 4.7

Let a j , i be as in Lemma 4.5, then

a j , i = 0 for a l l j = 1 , , k , i = 1 , , N .

Proof

First, by use of the Pohozaev identity (4.2) and the estimate (2.3) and assuming σ < s , for some r > 0 , there holds that

ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a ν ϕ ˜ a x i + ϕ ˜ a ν v ˜ a x i + ε 2 s B r + ( x a , j ) y 1 2 s v ˜ a , ϕ ˜ a ν i + B r ( x a , j ) ( ( 1 + ε 2 s V ( x ) ) v a ϕ a ν i v a p ϕ a ν i ) = O ( ε 2 ( N + s ) ) .

In addition,

B r ( x a , j ) V ( x ) x i v a ( x ) ϕ a ( x ) d x = l = 1 N B r ( x a , j ) 2 V ( c j ) x i x l ( x l c j l ) v a ( x ) ϕ a ( x ) d x + o B r ( x a , j ) x c j v a ( x ) ϕ a ( x ) d x .

We estimate

B r ( x a , j ) ( x l c j l ) v a ( x ) ϕ a ( x ) d x = B r ( x a , j ) ( x l c j l ) v a ( x ) j = 1 k i = 1 N a j , i U ε , x a , j ( x ) x i + ϕ a * ( x ) d x = C B r ( x a , j ) ( x l c j l ) v a ( x ) j = 1 k i = 1 N a j , i U ε , x a , j ( x ) x i + C B r ( x a , j ) ( x l c j l ) 2 v a ( x ) 2 1 2 ϕ a * L = C ε n + 1 B r ε ( 0 ) x l + x a , j l c j l ε U ( x ) i = 1 N a j , i U ( x ) x i d x + o ( ε n + 1 ) = C a j , l ε n + 1 R N x l U ( x ) U ( x ) x l d x + o ( ε n + 1 ) = C a j , i 2 ε n + 1 R N U 2 ( x ) d x + o ( ε n + 1 ) .

Hence

ε N + 2 s + 1 l = 1 N B r ( x a , j ) 2 V ( c j ) x i x l a j , i = o ( ε N + 2 s + 1 ) ,

which combines with the assumption that c j is a non-degenerate critical point of V ( x ) implies that a j , l = 0 , l = 1 , , N .□

Lemma 4.8

For any fixed ρ > 0 , there holds that

ϕ a ( x ) = o ( 1 ) , x j = 1 k B ρ ε ( x a , j ) .

Proof

One can deduce ϕ a , j ( x ) = o ( 1 ) in B ρ ( 0 ) for any fixed ρ > 0 from Lemmas 4.5 and 4.7. Also, we know ϕ a , j ( x ) = ϕ a ( ε x + x a , j ) . Then ϕ a ( x ) = o ( 1 ) , x j = 1 k B ρ ε ( x a , j ) .

Proof of Theorem 4.1

Under the assumption that ϕ a L = 1 and L a ϕ a = 0 , we deduce by Lemma 4.8 that ϕ a ( x ) = o ( 1 ) for all x R N , which is a contradiction. Therefore, we obtain ϕ a = 0 when a is close enough to a 0 .□

Acknowledgements

Guo was supported by the NNSF of China (No. 12271539).

  1. Author contributions: Qing Guo was responsible for constructing the overall framework and providing intellectual guidance for the paper. Yuhang Zhang took charge of handling detailed calculations, as well as writing and revising the article. During the research and writing process, whenever problems arose, the two authors would discuss them together to find solutions.

  2. Conflict of interest: The authors declare that they have no conflict of interest.

Appendix A Some technical estimates

Lemma A.1

(c.f. [30]). For any 0 < δ min { α , β } and x 1 x 2 , there holds that

1 ( 1 + y x 1 ) α ( 1 + y x 2 ) β C x 1 x 2 δ 1 ( 1 + y x 1 ) α + β δ + 1 ( 1 + y x 2 ) α + β δ

where α , β are two constants.

Lemma A.2

Assume ( y x ) 2 + t 2 ρ 2 , t > 0 and α > N . For some ε 0 , if β < N , Lemma A.1 implies directly that

R N 1 ( t + z ) α ( 1 + y z x ε ) β C ε β R N 1 ( t + z ) α y z x β C ε β 1 ( 1 + y x ) β 1 t α N + 1 ( 1 + y x ) α .

On the other hand, if β > N , refer to [18], one can derive

R N 1 ( t + z ) α ( 1 + y z x ε ) β C ε β ( 1 + y x ) β 1 t α N + ε N ( 1 + y x ) α C ε N 1 ( 1 + y x ) β 1 t α N + 1 ( 1 + y x ) α .

References

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Received: 2023-08-24
Revised: 2024-11-25
Accepted: 2025-01-23
Published Online: 2025-03-13

© 2025 the author(s), published by De Gruyter

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

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