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ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu

GROUND STATE SOLUTIONS FOR SEMILINEAR PROBLEMS WITH A SOBOLEV-HARDY TERM

XIAOLI CHEN, WEIYANG CHEN

Abstract. In this article, we study the existence of solutions to the problem

−∆u=λu+|u|2s−2u

|y|s , xΩ, u= 0, x∂Ω,

where Ω is a smooth bounded domain inRN (N 3). We show that there is a ground state solution provided thatN = 4 andλm< λ < λm+1, or that N 5 andλmλ < λm+1, where λm is the m’th eigenvalue of−∆ with Dirichlet boundary conditions.

1. Introduction

Let Ω be a smooth bounded domain of RN =Rk×RN−k, where 2≤k < N, N ≥3. Suppose that a point (0, z0)∈Rk×RN−k and (0, z0)∈Ω. Without loss of generality we assume that 0 ∈Ω. In this article, we consider the existence of solutions of the problem

−∆u=λu+|u|2s−2u

|y|s , x∈Ω, u= 0, x∈∂Ω,

(1.1)

where Ω is a smooth bounded domain inRN, and x= (y, z)∈Ω, 0< s <2, and 2s =2(N−s)N−2 is the critical exponent related to the Hardy-Sobolev inequality

SZ

RN

|u|2s

|y|s dy dz2/2s

≤ Z

RN

|∇u|2dy dz, ∀u∈D1,2(RN), (1.2) where S = S(N, k, t) is the best constant, see [3]. More general Hardy-Sobolev inequalities are dealt in [4] and [5]. The minimizers of problem (1.2) are solutions of the problem

−∆u=|u|2s−2u

|y|s , u >0 in RN, u∈D1,2(RN) (1.3)

2000Mathematics Subject Classification. 35J60, 35J65.

Key words and phrases. Existence; ground state; critical Hardy-Sobolev exponent;

semilinear Dirichlet problem.

c

2013 Texas State University - San Marcos.

Submitted April 19, 2013. Published September 26, 2013.

1

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up to a constant. Ifs= 0, Equation (1.2) becomes the Sobolev inequality, for which best constant was computed, and proved existence of minimizers in [2] and [16]. In the cases= 2, (1.2) still holds true, it is an extension of the Hardy inequality. In the more general case 0≤s <2 withk=N, the best constant was obtained in [8], and minimizers were found in [10], which are radially symmetric. Therefore, it can be shown by using ODEs, see [10], that up to dilations and translations, minimizers take the form

1 (1 +|x|2−s)N−22−s

.

It is noted that equation (1.3) is invariant with respect to the scalings and z- translations; that is,uis a solution of (1.3) if only ifuα(x) =α(N−2)/2u(αy, α(z− z0)),α >0, satisfies the equation. Hence, problem (1.3) has lack of the compact- ness. In the case 0< s <2, 2≤k < N, it was proved in [3] that the best constant S >0, andS is achieved by the concentration-compactness principle. So problem (1.3) has a positive solution in D1,2(RN). Since the minimizer of problem (1.2) can not be radially symmetric, they cannot be found among solutions of ODEs, but of PDEs. This brings difficulties to find exact forms of the minimizer. In the particular cases= 1, problem (1.3) becomes

−∆u=uN−2N

|y| , u >0 inRN, u∈D1,2(RN). (1.4) By the moving plane method, it was proved in [7] that all solutions of (1.4) are cylindrically symmetric. Thus, problem (1.4) can be reduced to an elliptic equation in the positive cone inR2, and it was shown in [7] thatuis a solution of (1.4) if and only if

u(y, z) =λ(N−2)/2V(λy, λ(z+z0)) (1.5) for someλ >0 andz0∈RN−k, where

V(x) =V(y, z) = CN,k

((1 +|y|)2+|z|2)(N−2)/2

= ((N−2)(k−1))(N−2)/2 ((1 +|y|)2+|z|2)(N−2)/2

. (1.6) This result allows one to obtain existence results for problem (1.1) in the cases= 1.

Denote by 0< λ1, . . . , λk, . . . the eigenvalues of−∆ with zero Dirichlet boundary condition. When 0< λ < λ1ands= 1, it was proved in [1] and [6] that there exists a solution of problem (1.1) by the mountain pass lemma and constrained variation respectively.

In this article, we consider the existence of solutions to problem (1.1) for general case 0< s <2 andλin betweenλmandλm+1for somem∈N. As far as we know, the exact form of the minimizer of (1.2) is known, see Mancini and Sandeep [11].

However, even without knowing it, to control (P S)c sequences so that it may avoid the energy levels where the compactness does not hold, we can always use the [6, Lemma 3.4.2], ifuis the solution of (1.3), then there existC2> C1>0 such that

C1

1 +|x|N−2 ≤u(x)≤ C2

1 +|x|N−2. (1.7)

This estimate suffices to serve our purpose. Using the Nehari manifold method introduced in [12], and developed in [14], we show the following result.

Theorem 1.1. LetN = 4 andλm< λ < λm+1 orN ≥5 andλm≤λ < λm+1 for somem∈N, then there exists a ground state solution of problem (1.1).

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In section 2, we describe a variational framework to study the ground state solution of problem (1.1). We prove Theorem 1.1 in section 3.

2. Preliminaries

Denote byE=H01(Ω) the Hilbert space with the scalar product hu, vi=

Z

∇u∇v dx

and the induced norm k · k. Let (ϕj, λj) be the eigenfunctions and eigenvalues of

−∆ in Ω with zero Dirichlet boundary condition. Suppose thatmis a fixed positive integer andλm≤λ < λm+1, we define the subspacesE= span{ϕ1, . . . , ϕm} and E+ = span{ϕj, j ≥m} of E, then E = E+⊕E. The functional associated to problem (1.1) is defined by

J(u) =1 2

Z

|∇u|2dx−λ 2 Z

|u|2dx− 1 2s

Z

|u|2s

|y|s dx

foru∈H01(Ω), which isC1 and critical points ofJ are solutions of problem (1.1).

To find ground state solutions of (1.1), we introduce as [12] a submanifold of E.

Define

N ={u∈E\ {0}:h∇J(u), ui= 0,∇J(u)∈E+}. (2.1) The set N is the intersection of the standard Nehari manifold {u ∈ E \ {0} : h∇J(u), ui= 0}with the pre-image (∇J)−1(E+).

Proposition 2.1. The set N is a C1 submanifold ofE with codimension m+ 1.

Moreover, every critical point of the restriction J|N is a nontrivial critical point of the functionalJ.

Proof. The result can be proved as [15], see also [13]. We sketch the proof here for reader’s convenience. LetF :E\ {0} →R×E be a map defined by

F(u) = (h∇J(u), ui, Q∇J(u)),

where Qis the orthogonal projection ofE ontoE, thenN =F−1(0). Consider the inner product

(t1, z1)·(t2, z2) =t1t2+hz1, z2i fort1, t2∈R, z1, z2∈E. We claim that for every (t, z)∈R×E, (t, z)6= (0,0), the inequality

(DF(u)(tu+z))·(t, z)<0 (2.2) holds. This implies the first part of the proposition. Now, we prove the claim.

Indeed, for (t, z)6= (0,0), since

h∇J(u), ui=h∇J(u), zi= 0, we deduce that

(DF(u)(tu+z))·(t, z)

=Z

|∇z|2dx−λ Z

|z|2dx

− Z

(2s−2)t2|u|2+ 2(2s−2)tzu+ (2s−1)|z|2|u|2s−2

|y|s dx.

(2.3)

Forλm≤λ < λm+1, it is readily verified that (2.2) holds.

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Next, we verify as in [15] thatw∈Eis a critical point ofJ if and only ifu∈ N

andDJ(u)|TuN = 0. The proof is complete.

We recall that a ground state solutionuto (1.1) is any element ofN such that DJ(u) vanishes onTuN andJ(u) =c, where

c= inf

N J. (2.4)

By the argument in [14], for everyv∈E+\ {0}, there is a unique continuous map pair (f(v), g(v))∈(0,∞)×E such thatF(f(v)v+g(v)) = 0 and

J(f(v)v+g(v)) = max

t>0,z∈EJ(tv+z).

Hence, c= inf

N J = inf

v6=0,v∈E+J(f(v)v+g(v)) = inf

{v6=0,v∈E+} max

{t>0,z∈E}J(tv+z). (2.5) 3. Existence results

In this section, we show that problem (2.4) is achieved. The minimizer of problem (2.4) is actually a ground state solution of (1.1). Let

S= inf

u∈E,u6=0

R

|∇u|2dx (R

u2s

|y|sdx)2/2s

. (3.1)

We know from [3] thatS can be achieved, which is independent of Ω and depends only by N, k, s, moreover the infimum S is never achieved when Ω is a bounded domain, we denote the minimizer byU(x)>0. By (1.7),

C1

1 +|x|N−2 ≤U(x)≤ C2 1 +|x|N−2. The following elementary lemma is readily verified.

Lemma 3.1. SupposeA >0,B >0. Then maxt>0(At2

2 −Bt2s

2s) = 2−s 2(N−s)

A B2/2s

N−s2−s . Lemma 3.2. Suppose that

c < 2−s

2(N−s)SN−s2−s, (3.2)

then there existsv∈E+\ {0} such that max

t>0,w∈EJ(tv+w) =J(f(v)v+g(v)) =c.

Proof. Take any sequence{vn}in E+\ {0}such thatkvnk= 1 and max

t>0,w∈EJ(tvn+w)→c. (3.3) Without loss of generality, we can assume that

vn* v inE+, vn→v in L2(Ω),

vn→v a.e. Ω.

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Suppose

A= lim

n→∞

Z

|∇(vn−v)|2dx , B = lim

n→∞

Z

|vn−v|2s

|y|s dx . Using the Brezis-Lieb’s Lemma, from (3.3) we obtain

J(tv+w) +1

2At2− 1

2sBt2s ≤c, ∀t >0, ∀w∈E. (3.4) If v = 0 and B = 0, from the assumption kvnk = 1, we deduce that A = 1.

Hencet2≤2c−2J(w) for everyt >0 and everyw∈E, a contradiction.

Assume nowB 6= 0. From Lemma 3.1, we obtain that 2−s

2(N−s)SN−s2−s ≤ 2−s 2(N−s)

A B2/2s

N−s2−s

= max

t>0

1

2At2− 1 2sBt2s

. (3.5) Ifv= 0, we obtain from (3.2), (3.4) and (3.5) that

2−s

2(N−s)SN−s2−s ≤c < 2−s

2(N−s)SN−s2−s, a contradiction. Thusv6= 0.

Denoteh=g(v)/f(v). It follows from the definition ofc that c≤J(f(v)(v+h)) = max

t>0 J(t(v+h))

= 2−s 2(N−s)

R

|∇(v+h)|2dx−λR

|v+h|2dx R

|v+h|2s

|y|s dx2/2s

N−s2−s

. (3.6)

By (3.4) and Lemma 3.1, c≥max

t>0

J(t(v+h)) +1

2At2− 1 2sBt2s

= 2−s 2(N−s)

A+R

|∇(v+h)|2dx−λR

|v+h|2dx B+R

|v+h|2s

|y|s dx2/2s

N−s2−s .

(3.7)

Putting together (3.2), (3.5), (3.6) and (3.7), we obtain 2(N−s)

2−s cN−s2−s B+

Z

|v+h|2s

|y|s dx2/2s

<2(N−s)

2−s cN−s2−s

B2/2s+Z

|v+h|2s

|y|s dx2/2s

< A+ Z

|∇(v+h)|2dx−λ Z

|v+h|2dx

≤2(N−s)

2−s cN−s2−s B+

Z

|v+h|2s

|y|s dx2/2s

,

(3.8)

a contradiction. Therefore,B= 0 and (3.4) yield c≤J(f(v)v+g(v))≤c.

The assertion follows.

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From Lemma 3.2, we know that there exists a minimizer of problem (2.4) pro- vided that (3.2) holds. By Proposition 2.1, such a minimizer is actually a solution of problem (1.1). Therefore, to prove Theorem 1.1, it is sufficient to verify condition (3.2). Choosing Bρ(0, z0)⊂Ω⊂BR(0, z0). Let ϕ∈C0(Ω) be a cut-off function satisfying

ϕ(x) =

(1, x∈Bρ

2(0, z0) 0, x /∈Bρ(0, z0).

Forε >0, we define Uε(x) =ε2−N2 U(x−(0,zε 0)), uε =ϕ(x)Uε(x), Then uε ∈E for ε >0 small. We have following estimates foruε.

Lemma 3.3. SupposeN ≥3, we have

kuεk2=kUk2+O(εN−2) +O(εN−s), (3.9) Z

|uε|2s

|y|s dx= Z

RN

|U|2s

|y|s dx+O(εN−s), (3.10) Z

|uε(x)|2dx≥





2+O(εN−2), N ≥5, Cε2|lnε|+O(ε2), N = 4, Cε+O(ε2), N = 3,

(3.11) Z

uε(x)dx≤Cε(N−2)/2, (3.12)

Z

|uε|2s−1

|y|s dx≤Cε(N−2)/2. (3.13)

Proof. First, we estimate (3.10). There holds Z

|uε|2s

|y|s dx= Z

|ϕUε|2s

|y|s dx= Z

U2

εs

|y|sdx− Z

(1−ϕ2s)U2

εs

|y|sdx

= Z

RN

U2

εs

|y|sdx− Z

RN\Ω

U2

εs

|y|sdx− Z

(1−ϕ2s)U2

εs

|y|sdx

= Z

RN

U2s

|y|sdx− Z

RN\Ω

U2

εs

|y|sdx− Z

Ω\Bρ 2

(0,z0)

(1−ϕ2s)U2

εs

|y|sdx.

Since Z

RN\BR(0,z0)

U2

εs

|y|sdx≤ Z

RN\Ω

U2

εs

|y|sdx≤ Z

RN\Bρ(0,z0)

U2

εs

|y|sdx, while

Z

RN\BR(0,z0)

U2

εs

|y|sdx= Z

RN\BR(0,z0)

εs−NU(x−(0,zε 0))2s

|y|s dx

= Z

RN\BR(0)

εs−NU(xε)2s

|y|s dx

≤Cεs−N Z

RN\BR(0)

1 1 +|xε|N−2

2s 1

|y|sdx

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=CεN−s Z

RN\BR(0)

1

εN−2+|x|N−2 2s 1

|y|sdx

=O(εN−s), and similarly,

Z

RN\Bρ(0,z0)

Uε2s

|y|sdx=O(εN−s).

Thus, we obtain Z

|uε|2s

|y|s dx= Z

RN

U2s

|y|sdx+O(εN−s).

That is, (3.10) holds.

Next, we estimate (3.11). In fact, Z

|uε|2dx= Z

ϕ2|Uε|2dx≤ Z

Bρ(0,z0)

|Uε|2dx

2−N Z

Bρ(0)

U(x ε)2dx

≤ε2−N Z

Bρ(0)

C

1 +|xε|N−22dx

N−2 Z

Bρ(0)

C

N−2+|x|N−2)2dx

≤εN−2 Z

Bε(0)

C

ε2(N−2)dx+εN−2 Z

Bρ(0)\Bε(0)

C

|x|2(N−2)dx

=





2+O(εN−2), N ≥5, Cε2|lnε|+O(ε2), N = 4, Cε+O(ε2), N = 3.

Now, we estimate (3.9). Observe that Z

|∇uε|2dx= Z

Uε2|∇ϕ|2dx+ Z

∇Uε∇(ϕ2Uε)dx and−∆Uε=Uε2∗−1/|y|s, we find

Z

∇Uε∇(ϕ2Uε)dx= Z

ϕ2Uε2∗

|y|s dx and

Z

|∇uε|2dx= Z

|∇ϕ|2Uε2dx+ Z

ϕ2Uε2∗

|y|s. Since∇ϕ= 0 inBρ(0, z0), we have

Z

|∇ϕ|2Uε2dx= Z

Ω\Bρ(0,z0)

|∇ϕ|2Uε2dx

≤ Z

BR(0,z0)\Bρ(0,z0)

|∇ϕ|2Uε2dx

≤C Z

BR(0,z0)\Bρ(0,z0)

Uε2dx

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≤C Z

BR(0)\Bρ(0)

ε2−N 1

(1 +|xε|N−2)2dx=O(εN−2).

On the other hand, we can show that Z

ϕ2|Uε|2s

|y|s dx= Z

RN

U2s

|y|sdx+O(εN−s) = Z

RN

|∇U|2dx+O(εN−s).

Therefore,

Z

|∇uε|2dx=k∇Uk2+O(εN−2) +O(εN−s).

Now, we estimate (3.12).

Z

uεdx= Z

Bρ(0,z0)

ε2−N2 U(x−(0, z0)

ε )

≤C Z

Bρ(0)

ε2−N2 1 1 +|xε|N−2dx

N−22 Z

Bρ(0)

1

εN−2+|x|N−2dx

≤CεN−22 Z

Bε(0)

1

εN−2dx+CεN−22 Z

Bρ(0)\Bε(0)

1

|x|N−2dx

≤CεN−22 . Finally, there holds

Z

|uε|2s−1

|y|s dx≤ Z

Bρ(0,z0)

|Uε|2s−1

|y|s dx

≤εN+2−2s2 Z

Bρ(0)

1

εN−2+|x|N−2

2s−1dx

|y|s

N+2−2s2 Z

Bε(0)

1

εN−2+|x|N−2

2s−1 dx

|y|sN+2−2s2

Z

Bρ(0)\Bε(0)

1

εN−2+|x|N−2

2s−1 dx

|y|s

≤Cε(N−2)/2N+2−2s2 Z

Bρ(0)\Bε(0)

1

(|y|2+|z|2)N+2−2s2 dx

|y|s and

εN+2−2s2 Z

Bρ(0)\Bε(0)

1

(|y|2+|z|2)N+2−2s2 dx

|y|s

N+2−2s2 Z

(Bρ(0)\Bε(0))∩{x=(y,z):|y|≥|z|}

1

(|y|2+|z|2)N+2−2s2 dx

|y|sN+2−2s2

Z

(Bρ(0)\Bε(0))∩{x=(y,z):|y|<|z|}

1

(|y|2+|z|2)N+2−2s2 dx

|y|s

≤CεN+2−2s2 Z

{x=(y,z):ε

2<|y|,|z|<ρ}

1

|z|N+2−2s dx

|y|s +CεN+2−2s2

Z

{x=(y,z):ε

2<|y|,|z|<ρ}

1

|y|N+2−2s dx

|y|s

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≤Cε(N−2)/2,

which implies (3.13).

Proposition 3.4. There holds

c < 2−s

2(N−s)SN−s2−s. Proof. We will check that

max

t>0,v∈EJ(tuε+v)< 2−s

2(N−s)SN−s2−s. (3.14) Let ω = Ω\suppϕ. By [15, Lemma 3.3], v 7→ kvkL2

s(ω) defines a norm on E. Since dimE =m < +∞, all the norms are equivalent on E. For everyt > 0 and everyv∈E, by convexity we deduce

Z

|tuε(x) +v(x)|2s

|y|s dx

= Z

Ω\ω

|tuε(x) +v(x)|2s

|y|s dx+ Z

ω

|v(x)|2s

|y|s dx

≥t2s Z

|uε(x)|2s

|y|s dx+ 2st2s−1 Z

|uε(x)|2s−1v(x)

|y|s dx+ 2sC1kvk2s.

(3.15)

It follows that

J(tuε+v)≤J(tuε) +t Z

∇uε∇v+1 2

Z

|∇v|2dx

−λt Z

uε(x)v(x)dx−λ 2 Z

|v(x)|2dx

−t2s−1 Z

|uε(x)|2s−1v(x)

|y|s dx−C1kvk2s.

(3.16)

By the assumptionλm≤λ < λm+1, Z

|∇v|2dx−λ Z

|v(x)|2dx≤(λm−λ)kvk2≤0. (3.17) In particular, we can write

J(tuε+z)≤A(t2+tkvk+t2s−1kvk)−B(t2s+kvk2s)

for suitable constantsA >0 andB >0. Hence there existsR >0 such that, forε small,t > Randv∈E there holdsJ(tuε+v)≤0. On the other hand, whenever t≤R,

J(tuε+v)≤J(tuε)+O ε(N−2)/2

kvk−C1kvk2s ≤J(tuε)+O

ε(N−2)(N−s)N+2−2s . (3.18)

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Indeed, integrating by parts and using the definition ofE, we obtain Z

∇uε∇v dx−λ Z

uε(x)v(x)dx

= Z

(−∆v)uεdx−λ Z

uε(x)v(x)dx

≤ |λm−λ|

Z

|uε(x)v(x)|dx≤ |λm−λ|kv(·)kL

Z

|uε(x)|dx

≤C|λm−λ|kvk Z

|uε(x)|dx

(3.19)

and

Z

|uε(x)|2s−1v

|y|s dx

≤Ckvk Z

|uε(x)|2s−1

|y|s dx.

By (3.12) and (3.13) , we get Z

|uε(x)|dx≤Cε(N−2)/2, Z

|uε(x)|2s−1

|y|s dx≤Cε(N−2)/2. By the Young inequality,

O

ε(N−2)/2

kvk ≤O

ε(N−2)(N−s)N+2−2s

+C1kvk2s. Therefore, together with (3.17), we see that (3.18) holds.

SinceN ≥5 implies (NN−2)(N+2−2s−s) >2. By Lemma 3.2, for ε >0 small enough,

t>0,v∈EmaxJ(tuε+v)

≤max

t>0 J(tuε) +O

ε(N−2)(N−s)N+2−2s

= 2−s 2(N−s)

kuεk2−λkuε(x)k2L2(Ω)

(R

|uε(x)|2s

|y|s dx)2/2s N−s2−s

+O

ε(N−2)(N−s)N+2−2s

≤ 2−s 2(N−s)

S−Cλε2+O(εN−2)N−s2−s

+O

ε(N−2)(N−s)N+2−2s

< 2−s

2(N−s)SN−s2−s.

Assume now thatN = 4. From (3.12) and (3.13) , we obtain Z

|uε(x)|dx≤Cε, Z

|uε(x)|2s−1

|y|s dx≤Cε.

By the assumptionλm< λ < λm+1, Z

|∇v|2dx−λ Z

|v(x)|2dx≤(λm−λ)kvk2=−C2kvk2. (3.20) Inequality (3.16), (3.19) and (3.20) imply that, fort≤R,

J(tuε+v)≤J(tuε) +O(ε)kvk −C2kvk2≤J(tuε) +O(ε2).

From Lemma 3.2, forε >0 small enough, we obtain max

t>0,v∈EJ(tuε+v)

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≤ 2−s 2(4−s)

kuεk2−λkuεk2L2(Ω)

(R

|uε|2s

|y|s dx)2/2s 4−s2−s

+O(ε2)

≤ 2−s 2(4−s)

kUk2+O ε2

−λ Cε2|lnε|+O(ε2) R

RN

|U|2s

|y|s dx+O(ε4−s)2/(4−s)

4−s2−s

+O(ε2)

≤ 2−s

2(4−s) S−Cλε2|lnε|+O ε24−s2−s +O(ε2)

< 2−s 2(4−s)S4−s2−s.

Proof of Theorem 1.1. By Lemma 3.1 and Proposition 3.4, there existsu∈ N such thatJ(u) =candDJ(u)|TuN = 0. It follows from Proposition 2.1 thatDJ(u) = 0

onX.

Acknowledgments. Xiaoli Chen is supported by NNSF of China (grant 11261023), the foundation of teacher’s division of Jiangxi Province (grant GJJ12203), Startup Foundation for Doctors of Jiangxi Normal University. WeiYang Chen is supported by NNSF of China (grant 11271170), GAN PO 555 program of Jiangxi, NSF of Jiangxi Province (grant 20122BAB201008)

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Xiaoli Chen

Department of Mathematics, Jiangxi Normal University, Nanchang, Jiangxi 330022, China

E-mail address:littleli [email protected]

Weiyang Chen (corresponding author)

Department of Mathematics, Jiangxi Normal University, Nanchang, Jiangxi 330022, China

E-mail address:[email protected]

参照

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