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BY 4.0 license Open Access Published by De Gruyter July 10, 2021

On the existence of multiple solutions for a partial discrete Dirichlet boundary value problem with mean curvature operator

  • Sijia Du and Zhan Zhou

Abstract

Apartial discrete Dirichlet boundary value problem involving mean curvature operator is concerned in this paper. Under proper assumptions on the nonlinear term, we obtain some feasible conditions on the existence of multiple solutions by the method of critical point theory. We further separately determine open intervals of the parameter to attain at least two positive solutions and an unbounded sequence of positive solutions with the help of the maximum principle.

MSC 2010: 39A14; 39A70

1 Introduction

Let ℤ and ℝ signify all integers and real numbers, respectively. For a, b ∈ Z, define Z(a, b) = {a, a+1, · · · , b} when ab and Z(a) = {a, a + 1, · · · }.

In this paper, we consider the following partial difference equation, that is (H)

Δ1(ϕc(Δ1u(i1,j)))+Δ2(ϕc(Δ2u(i,j1)))+λf((i,j),u(i,j))=0,(i,j)Z(1,m)×Z(1,n),

with boundary conditions

u(i,0)=u(i,n+1)=0,iZ(0,m+1),u(0,j)=u(m+1,j)=0,jZ(0,n+1),

where λ is a positive real parameter, m and n are two given positive integers, Δ1 and Δ2 are two first-order forward difference operators, respectively given by Δ1u(i, j) = u(i+1, j)−u(i, j) and √Δ2u(i, j) = u(i, j+1)−u(i, j), ϕc is a ϕ-Laplacian operator (mean curvature operator [1]) defined by ϕc(s)=s/1+s2, and for each (i, j) Z(1, m) × Z(1, n), f ((i, j), ·) ∈ C(R, R).

As we all know, there are many excellent results on the study of the existence and multiplicity of solutions for differential equations [2, 3, 4]. In recent years, there are more and more researches on the subject of difference equations since it has been widely used as mathematical models in many fields [5, 6, 7, 8, 9, 10]. Important methods generally used in the study of difference equations are upper and lower solution techniques and fixed point methods [11, 12]. In 2003, for the first time, Guo and Yu [13] considered periodic solutions and subharmonic solutions for a class of difference equations by using critical point theory. Since then, many researchers have studied difference equations via critical point theory so that a lot of excellent results have been obtained, such as existence results on homoclinic solutions [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], periodic solutions[25, 26, 27] and solutions for boundary value problems [28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38]. Particularly, due to many applications of partial difference equation models in lots of fields lately, there is of great interest in studying partial difference equations involving functions with two or more discrete variables. In this direction, some scholars have obtained some good results [39, 40, 41, 42].

In [39], Heidarkhani and Imbesi discussed the following problem (Efλ)

Δ12u(i1,j)+Δ22u(i,j1)+λf((i,j),u(i,j))=0,(i,j)Z(1,m)×Z(1,n),

with boundary conditions

u(i,0)=u(i,n+1)=0,iZ(1,m),u(0,j)=u(m+1,j)=0,jZ(1,n),

where Δ12andΔ22 are two second-order forward difference operators given by Δ12u(i,j)=Δ1(Δ1u(i,j)) and Δ22u(i,j)=Δ2(Δ2u(i,j)), respectively. The two-dimensional discrete problem (Efλ) was considered as the one- dimensional nonlinear algebraic problem by transforming the matrix form into the one-dimensional vector form. Then by two critical point theorems, the existence of at least three solutions for (Efλ) was obtained. Imbesi and Bisci [40] further discussed that either an unbounded sequence of solutions or a pairwise distinct sequence of solutions for (Efλ) admitted when unbounded intervals of parameters were set by using critical point theory. Galewski and Orpel [41] considered the existence of solutions to the boundary value problem (Efλ) in terms of critical point theory and some monotonicity results.

In [42], we dealt with the existence of infinitely many solutions for a partial discrete Dirichlet boundary value problem with p-Laplacian, namely (Sfλ)

Δ1(ϕp(Δ1u(i1,j)))+Δ2(ϕp(Δ2u(i,j1)))+λf((i,j),u(i,j))=0,(i,j)Z(1,m)×Z(1,n),

with boundary conditions

u(i,0)=u(i,n+1)=0,iZ(0,m+1),u(0,j)=u(m+1,j)=0,jZ(0,n+1),

where ϕp is the p-Laplacian operator given by ϕp(s) = |s|p−2s, 1 < p < +∞ and f ((i, j), ·) ∈ C(R, R) for all (i, j) Z(1, m)×Z(1, n). Based on critical point theory and the maximum principle,we focused on appropriate assumptions on the nonlinear term and open intervals of the parameter to respectively obtain the existence of at least two positive solutions and an unbounded sequence of positive solutions.

Note that the research on partial difference equations with ϕc-Laplacian is relatively rare. In this paper, we are interested in investigating infinitely many solutions of the two-dimensional discrete Dirichlet problem (H) via critical point theory. Under appropriate assumptions on the nonlinear term, we give sufficient conditions to admit at least two positive solutions for f(H) by applying Theorem 2.2 of [39] and Theorem 3.3 of [43]. In addition, we carefully consider the existence of an unbounded sequence of solutions for (H) by utilizing Theorem 2.1 of [44]. Moreover, due to the maximum principle, we determine specific open intervals of the parameter to admit an unbounded sequence of positive solutions.

We organize the rest of this work as follows. In Section 2, we first introduce some abstract multiple critical point theorems, and then set up the variational setting associated with (H). In Section 3, we prove the main results of (H) by combining the variational method and the maximum principle. Finally, we present an easily testified example to demonstrate in the last section.

2 Preliminaries

Let X signify a finite dimensional real Banach space and let Iλ : X → ℝ be a function satisfying the following structure hypothesis:

(A) Iλ(u) = Φ(u) − λΨ(u) for every u ∈ X, where Φ, Ψ : X → ℝ are two functions of class C1 on X with Φ coercive, i.e., limuΦ(u)=+, and λ is a real positive parameter.

In this framework a finite dimensional variant of Theorem 3.3 of [43] (see also Corollary 3.1 and Remark 3.9 of [43]) is the following

Lemma 2.1

Assume that condition (A) and the following conditions hold:

(B) Φ is convex and infXΦ=Φ(0)=Ψ(0)=0;

(C) for each λ > 0 and local minima u1, u2 ∈ X of Iλ := ΦλΨ with Ψ(u1) ≥ 0 and Ψ(u2) ≥ 0, one has inf0t1Ψ(tu1+(1t)u2)0.

Assume further that there are two positive constants ρ1,ρ2andrˉXwithρ1<Φ(rˉ)<ρ22, such that

(a1)

supuΦ1(,ρ1)Ψ(u)ρ1<12Ψ(rˉ)Φ(rˉ);

(a2)

supuΦ1(,ρ2)Ψ(u)ρ2<14Ψ(rˉ)Φ(rˉ).

Then, for all λ2Φ(rˉ)Ψ(rˉ),minρ1supuΦ1(,ρ1)Ψ(u),ρ2/2supuΦ1(,ρ2)Ψ(u), , the functional Iλ has at least three distinct

critical points which lie in Φ−1(−∞, ρ2).

We recall the following lemma (Theorem 2.2 of [39]).

Lemma 2.2

Assume that condition (A) and the following conditions hold:

(D) Φ is convex and infXΦ=Φ(0)=Ψ(0)=0;

(E) for each λ > 0 and local minima u1, u2 ∈ X of Iλ := ΦλΨ with Ψ(u1) ≥ 0 and Ψ(u2) ≥ 0, one has inf0t1Ψ(tu1+(1t)u2)0.

Assume further that there are two positive constants ρ1,ρ2andrˉXwith2ρ1<Φ(rˉ)<ρ22, such that

(a3)

supuΦ1(,ρ1)Ψ(u)ρ1<23Ψ(rˉ)Φ(rˉ);

(a4)

supuΦ1(,ρ2)Ψ(u)ρ2<13Ψ(rˉ)Φ(rˉ).

Then, for all λ32Φ(rˉ)Ψ(rˉ),minρ1supuΦ1(,ρ1)Ψ(u),ρ2/2supuΦ1(,ρ2)Ψ(u), the functional Iλ has at least three distinct

critical points which lie in Φ−1(−∞, ρ2).

For each v,v1,v2>infXΦ with v2 > v1 and v3 > 0, set

φ(v)=infuΦ1(,v)supuΦ1(,v)Ψ(u)Ψ(u)vΦ(u),β(v1,v2)=infuΦ1(,v1)supωΦ1[v1,v2)Ψ(ω)Ψ(u)Φ(ω)Φ(u),γ(v2,v3)=supuΦ1(,v2+v3)Ψ(u)v3,α(v1,v2,v3)=max{φ(v1),φ(v2),γ(v2,v3)}.

We have the following variant of Theorem 3.3 of [43](see also Corollary 3.1 and Remark 3.9 of [43]).

Lemma 2.3

If condition (A) holds. Assume that:

(F) Φ is convex and infXΦ=Φ(0)=Ψ(0)=0;

(G) for each λ > 0 and for every u1, u2 ∈ X which are local minima for the functional Iλ := ΦλΨ and such that Ψ(u1)≥ 0 and Ψ(u2)≥ 0, one has inf0t1Ψ(tu1+(1t)u2)0.

Further, assume that there are three positive constants ρ1, ρ2, ρ3 with ρ1 < ρ2, such that

(a5) φ(ρ1)< β(ρ1, ρ2);

(a6) φ(ρ2)< β(ρ1, ρ2);

(a7) γ(ρ2, ρ3)< β (ρ1, ρ2).

Then, for all λ1β(ρ1,ρ2),1α(ρ1,ρ2,ρ3), the functional Iλ has three distinct critical points.

Let

γ=lim infr+φ(r),δ=lim infrinfXΦ+φ(r).

Clearly, γ ≥ 0 and δ ≥ 0. When γ = 0 (or δ = 0), in the sequel, we agree to read 1γ(or1δ) as +∞.

We recall the following lemma (see Theorem 2.1 of [44]).

Lemma 2.4

Assume that condition (A) holds. One has:

(i) If γ < +∞then, for each λ(0,1γ), the following alternative holds: either

(i1) Iλ possesses a global minimum, or

(i2) there is a sequence {ut} of critical points (local minima) of Iλ such that limt+Φ(ut)=+.

(j) If δ < +∞then, for each λ(0,1δ), the following alternative holds: either

(j1) there is a global minimum of Φ which is a local minimum of Iλ, or

(j2) there is a sequence {ut} of pairwise distinct critical points (local minima) of Iλ, with limt+Φ(ut)=infXΦ,

which weakly converges to a global minimum of Φ.

We set the mn-dimensional Banach space

S={u:Z(0,m+1)×Z(0,n+1)Rsuch thatu(i,0)=u(i,n+1)=0,iZ(0,m+1)andu(0,j)=u(m+1,j)=0,jZ(0,n+1)},

endowed with the norm

u=j=1ni=1m+1(Δ1u(i1,j))2+i=1mj=1n+1(Δ2u(i,j1))212,uS.

Put

Φ ( u ) = j = 1 n i = 1 m + 1 1 + ( Δ 1 u ( i 1 , j ) ) 2 1 + i = 1 m j = 1 n + 1 1 + ( Δ 2 u ( i , j 1 ) ) 2 1 , Ψ ( u ) = j = 1 n i = 1 m F ( ( i , j ) , u ( i , j ) ) ,

for all u ∈ S, where F((i,j),u)=0uf((i,j),ξ)dξfor each(i,j)Z(1,m)×Z(1,n).

Let

Iλ(u)=Φ(u)λΨ(u),

for each u ∈ S. Evidently, Iλ ∈ C1(S, R) with

Ψ(u)(z)=limt0Ψ(u+tz)Ψ(u)t=j=1ni=1mf(i,j),u(i,j)z(i,j)

and

Φ(u)(z)=limt0Φ(u+tz)Φ(u)t=j=1ni=1m+1ϕcΔ1u(i1,j)Δ1z(i1,j)+i=1mj=1n+1ϕcΔ2u(i,j1)Δ2z(i,j1)=j=1ni=1mϕcΔ1u(i1,j)Δ1z(i1,j)j=1nϕcΔ1u(m,j)z(m,j)+i=1mj=1nϕcΔ2u(i,j1)Δ2z(i,j1)i=1mϕcΔ2u(i,n)z(i,n)=j=1ni=1mΔ1ϕcΔ1u(i1,j)z(i,j)i=1mj=1nΔ2ϕcΔ2u(i,j1)z(i,j)

for each u, z ∈ S. Taken together, we have

[Φ(u)λΨ(u)](z)=j=1ni=1m[Δ1ϕcΔ1u(i1,j)+Δ2ϕcΔ2u(i,j1)+λf(i,j),u(i,j)]z(i,j).

Accordingly, the critical points of Iλ in S are the solutions of problem (Hλf).

The following lemma comes from Proposition 1 of [42].

Lemma 2.5

For each u ∈ S, one has the following relation

(2.1) maxiZ(1,m)jZ(1,n)|u(i,j)|m+n+24u.

Remark 2.1

Clearly, when m = 1 and n = 1, then u = 2|u(1, 1)| and the equality in (2.1) holds.

Proposition 2.1

Suppose that there is ū ∈ S such that either

(2.2) uˉ(i,j)>0orΔ1ϕc(Δ1uˉ(i1,j))+Δ2ϕc(Δ2uˉ(i,j1))0,

for each (i, j) Z(1, m) × Z(1, n). Then, either ū(i, j) > 0 for all (i, j) Z(1, m) × Z(1, n) or ū ≡ 0.

Proof. Fix α ∈ Z(1, m), β ∈ Z(1, n) such that

uˉ(α,β)=min{uˉ(i,j):iZ(1,m),jZ(1,n)}.

When ū(α, β) > 0, we get ū(i, j) > 0 for every (i, j) Z(1, m) × Z(1, n). The proposition is proved. When ū(α, β) ≤ 0, we have ū(α, β) = min {uˉ(i,j):iZ(0,m+1),jZ(0,n+1)}. Clearly, Δ1 ū(α − 1, β) = ū(α, β) − ū(α − 1, β) ≤ 0, Δ2 ū(α, β − 1) = ū(α, β) − ū(α, β − 1) ≤ 0, Δ1 ū(α, β) = ū(α + 1, β) − ū(α, β) ≥ 0, and Δ2 ū(α, β) = ū(α, β + 1) − ū(α, β) ≥ 0. Since ϕc(μ) is increasing in μ and ϕc(0) = 0, we see that

ϕcΔ1uˉ(α,β)0ϕcΔ1uˉ(α1,β)

and

ϕcΔ2uˉ(α,β)0ϕcΔ2uˉ(α,β1).

This further shows that

Δ1ϕc(Δ1uˉ(α1,β))+Δ2ϕc(Δ2uˉ(α,β1))0.

We obtain

ϕcΔ1uˉ(α,β)=ϕcΔ1uˉ(α1,β)=0.

Consequently, ū(α + 1, β) = ū(α, β) = ū(α − 1, β). We claim that ū(α, β) = 0 when α + 1 = m + 1. If not, then (α + 1) Z(1, m). By taking the place of α with α + 1, we have ū(α + 2, β) = ū(α + 1, β). Continuing this process (m + 1 − α) times, we get ū(α, β) = ū(α + 1, β) = ū(α + 2, β) = ··· = ū(m + 1, β) = 0. Similarly, we obtain ū(α, β) = ū(α − 1, β) = ū(α − 2, β) = ··· = ū(0, β) = 0. Then, it holds that ū(i, β) = 0 for i ∈ Z(1, m). Analogously, we get ū ≡ 0.

3 Main results and the proofs

Throughout the rest of this paper, for each h > 0, we let

ρ(h):=16h2m+n+2+11m+n,Γ(h):=j=1ni=1mF((i,j),h)16h2n+m+2+11andΛ(h):=(n+m)(1+h21)j=1ni=1mF((i,j),h).

Theorem 3.1

Suppose that f (i, j), · : ℝ → ℝ is a non-negative continuous function for each (i, j) Z(1, m) × Z(1, n) and there are positive constants b1, b2 and l with

ρ(b1)2+12<1+l2<ρ(b2)4+12

such that

(g1) max Γ(b1),2Γ(b2)<14Λ(l).

Then, for each

λ4Λ(l),min1Γ(b1),12Γ(b2),

problem (Hλf) admits at least two positive solutions.

Proof. Obviously, Φ and Ψ satisfy conditions (A) and (B) of Lemma 2.1 by setting Φ, Ψ, Iλ as defined in Section 2 for each u ∈ S. Furthermore, let u1 and u2 be two local minima of Iλ, which implies that u1 and u2 are solutions of (Hλf). We have u1(i, j) ≥ 0 and u2(i, j) ≥ 0 for every (i, j) Z(1, m) × Z(1, n). Then, tu1(i, j) + (1 − t)u2(i, j) ≥ 0 for all (i, j) Z(1, m) ×Z(1, n) and 0 ≤ t ≤ 1. It is clear that Ψ(tu1 + (1− t)u2)≥ 0 for 0 ≤ t ≤ 1 and condition (C) is satisfied.

Now, we set

ρ1=(m+n)ρ(b1)andρ2=(m+n)ρ(b2).

For u ∈ S, let

ξ1(i,j)=1+(Δ1u(i1,j))21,(i,j)Z(1,m+1)×Z(1,n),
ξ2(i,j)=1+(Δ2u(i,j1))21,(i,j)Z(1,m)×Z(1,n+1).

One has

Φ(u)=j=1ni=1m+1ξ1(i,j)+i=1mj=1n+1ξ2(i,j).

Since

j=1ni=1m+1Δ1u(i1,j)2=j=1ni=1m+1(ξ1(i,j))2+2(ξ1(i,j))j=1ni=1m+1ξ1(i,j)2+2j=1ni=1m+1ξ1(i,j)

and

i=1mj=1n+1Δ2u(i,j1)2=i=1mj=1n+1(ξ2(i,j))2+2(ξ2(i,j))i=1mj=1n+1ξ2(i,j)2+2i=1mj=1n+1ξ2(i,j),

we get

j=1ni=1m+1Δ1u(i1,j)2+i=1mj=1n+1Δ2u(i,j1)2j=1ni=1m+1ξ1(i,j)2+2j=1ni=1m+1ξ1(i,j)+i=1mj=1n+1ξ2(i,j)2+2i=1mj=1n+1ξ2(i,j)j=1ni=1m+1ξ1(i,j)+i=1mj=1n+1ξ2(i,j)2+2j=1ni=1m+1ξ1(i,j)+2i=1mj=1n+1ξ2(i,j).

Then,

j=1ni=1m+1Δ1u(i1,j)2+i=1mj=1n+1Δ2u(i,j1)2+1j=1ni=1m+1ξ1(i,j)+i=1mj=1n+1ξ2(i,j)+12.

For each u ∈ S, we have

u2+11Φ(u),

and

maxiZ(1,m)jZ(1,n)|u(i,j)|m+n+24u.

This implies that

maxiZ(1,m)jZ(1,n)|u(i,j)|m+n+24(ρ1+1)21=b1.

Similarly, for u ∈ S, one has

maxiZ(1,m)jZ(1,n)|u(i,j)|m+n+24(ρ2+1)21=b2.

It follows that

supuΦ1(,ρ1)Ψ(u)ρ1=supuΦ1(,ρ1)j=1ni=1mF((i,j),u(i,j))ρ1Γ(b1),

and

supuΦ1(,ρ2)Ψ(u)ρ2=supuΦ1(,ρ2)j=1ni=1mF((i,j),u(i,j))ρ2Γ(b2).

For y ∈ S defined by

y(i,j)=l,if(i,j)Z(1,m)×Z(1,n),0,ifi=0,jZ(0,n+1)ori=m+1,jZ(0,n+1),0,ifj=0,iZ(0,m+1)orj=n+1,iZ(0,m+1),

it holds that Φ(y)=(2m+2n)(1+l21). It is clear that ρ1<Φ(y)<ρ22. Then,

Ψ(y)Φ(y)=12Λ(l).

In terms of (g1), we can verify assumptions (a1) and (a2) of Lemma 2.1. Thus, for each

λ4Λ(l),min1Γ(b1),12Γ(b2),

problem (Hλf) admits at least two positive solutions. The proof of the theorem is completed.

With a similar proof of Theorem 3.1, we have the following

Theorem 3.2

Suppose that f (i, j), · : ℝ → ℝ is a non-negative continuous function for each (i, j) Z(1, m) × Z(1, n) and there are positive constants b1, b2 and l with

ρ(b1)+12<1+l2<ρ(b2)4+12

such that

(g1) max Γ(b1),2Γ(b2)<13Λ(l).

Then, for each

λ3Λ(l),min1Γ(b1),12Γ(b2),

problem (Hλf) admits at least two positive solutions.

Given h1 > 0 and h2 > 0, we further introduce another notation Ω(h1, h2) as follows

Ω(h1,h2):=j=1ni=1mF((i,j),h2)16h22n+m+2+116h12n+m+2+1.

Theorem 3.3

Assume that f (i, j), · : ℝ → ℝ is a non-negative continuous function for every (i, j) Z(1, m) ×

Z(1, n) and there are positive constants d, e1, e2 and e3 with e3 > e2 such that

ρ(e1)2+12<1+d2<ρ(e2)2+12

and

(g4) max Γ(e1),Γ(e2),Ω(e2,e3)<14Λ(d).

Then, for each

λ2Λ(d)12Λ(d)Γ(e1),1maxΓ(e1),Γ(e2),Ω(e2,e3),

problem (Hλf) admits at least two positive solutions.

Proof. Let

v1=16e12m+n+2+11,
v2=16e22m+n+2+11,v3=16e32m+n+2+116e22m+n+2+1.

When u ∈ S and Φ(u) ≤ v1, we have

maxiZ(1,m)jZ(1,n)|u(i,j)|m+n+24(v1+1)21=e1.

When u ∈ S and Φ(u) ≤ v2, we get

maxiZ(1,m)jZ(1,n)|u(i,j)|m+n+24(v2+1)21=e2.

When u ∈ S and Φ(u) ≤ (v2 + v3), we obtain

maxiZ(1,m)jZ(1,n)|u(i,j)|m+n+24(v2+v3+1)21=e3.

Define y ∈ S by

y(i,j)=d,if(i,j)Z(1,m)×Z(1,n),0,ifi=0,jZ(0,n+1)ori=m+1,jZ(0,n+1),0,ifj=0,iZ(0,m+1)orj=n+1,iZ(0,m+1).

Noticing that

φ(v1)=infuΦ1(,v1)supuΦ1(,v1)Ψ(u)Ψ(u)v1Φ(u)Γ(e1),φ(v2)=infuΦ1(,v2)supuΦ1(,v2)Ψ(u)Ψ(u)v2Φ(u)Γ(e2),

and

γ(v2,v3)=supuΦ1(,v2+v3)Ψ(u)v3Ω(e2,e3),

we obtain

β(v1,v2)=infuΦ1(,v1)supωΦ1[v1,v2)Ψ(ω)Ψ(u)Φ(ω)Φ(u)infuΦ1(,v1)Ψ(y)Ψ(u)Φ(y)Φ(u)infuΦ1(,v1)Ψ(y)Ψ(u)Φ(y)Ψ(y)Φ(y)supuΦ1(,v1)Ψ(u)v112Λ(d)Γ(e1).

Therefore, we can see from (g4) that φ(v1) < β(v1, v2), φ(v2) < β(v1, v2) and γ(v2, v3) < β(v1, v2). This together with Lemma 2.3 finishes the proof.

Set

E=lim supu+j=1ni=1mF((i,j),u)u.

When E = +∞, we agree to read 1E=0.

Theorem 3.4

Suppose that there are two nonnegative sequences {δt} and {ωt}, with limt+ωt=+, such that

1+δt2<ρ(ωt)2+12,tZ(1),

and

D=lim inft+j=1ni=1mmax|u|ωtF((i,j),u)j=1ni=1mF((i,j),δt)16ωt2m+n+2+11(2n+2m)(1+(δt)21)<E2n+2m.

Then, for all λ2n+2mE,1D, problem (Hλf) admits an unbounded sequence of solutions.

Proof. Let

ρt=(m+n)ρ(ωt),tZ(1).

We have

maxiZ(1,m)jZ(1,n)|u(i,j)|m+n+24(ρt+1)21=ωt,

for all u ∈ S, t ∈ Z(1). Obviously,

φ(ρt)infuΦ1(,ρt)j=1ni=1mmax|u|ωtF((i,j),u)j=1ni=1mF((i,j),u)16ωt2m+n+2+11Φ(u).

Denote θt ∈ S by

θt(i,j)=δt,if(i,j)Z(1,m)×Z(1,n),0,ifi=0,jZ(0,n+1)ori=m+1,jZ(0,n+1),0,ifj=0,iZ(0,m+1)orj=n+1,iZ(0,m+1).

Then we get Φ(θt)=(2n+2m)(1+(δt)21). We know that

φ(ρt)j=1ni=1mmax|u|ωtF((i,j),u)j=1ni=1mF((i,j),δt)16ωt2m+n+2+11(2n+2m)(1+(δt)21)

and

γlim inft+φ(ρt)D<+.

In the following, we distinguish two cases of E = +∞and E < +∞to finish the proof.

When E = +∞, let {ct} be a sequence of positive numbers with limt+ct=+ such that j=1ni=1mF((i,j),ct)(3n+3m)ctλ for t ∈ Z(1). Setting a sequence {et} in S with

et(i,j)=ct,if(i,j)Z(1,m)×Z(1,n),0,ifi=0,jZ(0,n+1)ori=m+1,jZ(0,n+1),0,ifj=0,iZ(0,m+1)orj=n+1,iZ(0,m+1),

we get

Iλ(et)=(2n+2m)(1+(ct)21)λj=1ni=1mF((i,j),ct)(2n+2m)ct(3n+3m)ct=(n+m)ct.

Clearly, limt+Iλ(et)=.

When E < +∞, fix ε > 0 such that 2n +2mλE + λε < 0. Then there is a sequence of positive numbers {ct} such that limt+ct=+ and

(Eε)ctj=1ni=1mF((i,j),ct)(E+ε)ct,tZ(1).

We obtain

Iλ(et)=(2n+2m)(1+(ct)21)λj=1ni=1mF((i,j),ct)(2n+2m)ctλ(Eε)ct=(2n+2mλE+λε)ct.

Owing to 2n + 2mλE + λε < 0, we have limt+Iλ(et)=. Therefore, Iλ is unbounded from below. The proof is completed.

Remark 3.1

When E = +∞, we have from Theorem 3.4 that for each λ0,1D, problem (Hλf) admits an unbounded sequence of solutions.

Let

Dˆ=lim infs+m+n+2j=1ni=1mmax|ξ|sF((i,j),ξ)4s.

When Dˆ=0, we agree to read 1Dˆ=+. There is a sequence t} of positive numbers with limt+ωt=+, such that

limt+j=1ni=1mmax|u|ωtF((i,j),u)16ωt2m+n+2+11=Dˆ.

From Theorem 3.4, we get the following conclusion.

Corollary 3.2

When

Dˆ<E2n+2m,

for each λ2n+2mE,1Dˆ, problem (Hλf) admits an unbounded sequence of solutions.

Remark 3.2

When E = +∞, we see from Corollary 3.2 that for every λ0,1Dˆ, problem (Hλf) admits an unbounded sequence of solutions. When Dˆ=0, according to Corollary 3.2, we have that for every λ ∈ 2n+2mE,+, problem (Hλf) admits an unbounded sequence of solutions. Taken together, when E = +∞and = 0, we have that for every λ > 0, problem (Hλf) admits an unbounded sequence of solutions.

Corollary 3.3

Suppose that f ((i, j),0) ≥ 0 for each (i, j) Z(1, m) × Z(1, n) and

Dˇ=lim infs+m+n+2j=1ni=1mmax0ξs0ξf((i,j),τ)dτ4s<E2n+2m.

Then for every λ2n+2mE,1Dˇ, problem (Hλf) admits an unbounded sequence of positive solutions.

Proof. Set

fˇ((i,j),s)=f((i,j),s),ifs>0,f((i,j),0),ifs0.

Clearly, we have f ((i, j), 0) ≥ 0, then

max0|ξ|s0ξfˇ((i,j),τ)dτ=max0ξs0ξf((i,j),τ)dτ,

for each s ≥ 0. From Corollary 3.2 and Proposition 2.1, we have the desired conclusion.

4 An example

In this section, we give a feasible example to explain our result.

Example 4.1

Set m = 2, n = 2 and let

f((i,j),u)=f(u)=54+cos14ln(|u|+1)14sin14ln(|u|+1),

for all (i, j) Z(1, 2) × Z(1, 2). This implies

F((i,j),u)=F(u)=0uf(ξ)dξ=(1+u)54+cos14ln(u+1)94,u0.

We have f (u) ≥ 0 for u ≥ 0 and F(u) is increasing on u ∈ [0, +∞). Put

at=e8tπ1andbt=e8tπ+4π1,tZ(1).

We get

F(at)=e8tπ54+cos(14ln(e8tπ))94=e8tπ54+cos(2tπ)94=94(e8tπ1)

and

F(bt)=e8tπ+4π54+cos(14ln(e8tπ+4π))94=e8tπ+4π54+cos(2tπ+π)94=14e8tπ+4π94.

Then, it holds that

Dˇlimt+2+2+2×2×2×F(bt)4bt=64

and

Elimt+2×2×F(at)at=9.

Thus, we have

Dˇ64<92×2+2×2E2n+2m.

By Corollary 3.3, for each λ(89,46), problem (Hλf) admits an unbounded sequence of positive solutions.

Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant No. 11971126), the Program for Changjiang Scholars and Innovative Research Team in University (Grant No. IRT 16R16), the Innovation Research for the postgraduates of Guangzhou University (Grant No. 2019GDJC-D04), and the Science and Technology Planning Project of Guangdong Province of China (Grant No. 2020A1414010106).

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

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Received: 2021-04-15
Accepted: 2021-05-24
Published Online: 2021-07-10

© 2021 Sijia Du and Zhan Zhou, published by De Gruyter

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

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