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Multiple solutions to Kirchhoff-Schrödinger equations involving the p()-Laplace-type operator

  • Received: 30 November 2022 Revised: 03 February 2023 Accepted: 06 February 2023 Published: 17 February 2023
  • MSC : 35D30, 35J20, 35J60, 35J92, 47J30

  • This paper is devoted to deriving several multiplicity results of nontrivial weak solutions to Kirchhoff-Schrödinger equations involving the p()-Laplace-type operator. The aims of this paper are stated as follows. First, under some conditions on a nonlinear term, we show that our problem has a sequence of infinitely many large energy solutions. Second, we obtain the existence of a sequence of infinitely many small energy solutions to the problem on a new class of nonlinear term. The primary tools to obtain such multiplicity results are the fountain theorem and the dual fountain theorem, respectively.

    Citation: Yun-Ho Kim. Multiple solutions to Kirchhoff-Schrödinger equations involving the p()-Laplace-type operator[J]. AIMS Mathematics, 2023, 8(4): 9461-9482. doi: 10.3934/math.2023477

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  • This paper is devoted to deriving several multiplicity results of nontrivial weak solutions to Kirchhoff-Schrödinger equations involving the p()-Laplace-type operator. The aims of this paper are stated as follows. First, under some conditions on a nonlinear term, we show that our problem has a sequence of infinitely many large energy solutions. Second, we obtain the existence of a sequence of infinitely many small energy solutions to the problem on a new class of nonlinear term. The primary tools to obtain such multiplicity results are the fountain theorem and the dual fountain theorem, respectively.



    In this paper, we study the following strongly coupled reaction-diffusion model

    ut=d1ΔuρuΔvβ(x)h(u,v),xΩ,t>0,vt=(d2+γu)Δv+β(x)h(u,v)λ(x)v,xΩ,t>0,uν=vν=0,xΩ,t>0,u(x,0)=u0(x)0,v(x,0)=v0(x)0,xΩ, (1.1)

    where u(x,t) and v(x,t) represent susceptible and infected individuals' density respectively at location x and time t; the positive constants d1 and d2 denote the corresponding diffusion rates for the susceptible and infected populations; and β(x) and λ(x) are positive Hölder continuous functions on ΩRn which account for the rates of disease transmission and disease recovery at x, respectively; ρ and γ are nonnegative constant, refers to the spatial influence of infectives, ρ is called cross diffusion coefficient. The term positive cross diffusion coefficient denotes that the susceptible tends to diffuse in the direction of higher concentration of the infected. The density-dependent diffusion terms, given by γu. This form of the diffusion term was experimentally motivated [1] and can be interpreted as a collective behavior for infected populations whose activity increases significantly if they are numerous at a spot. For more details on the biological background, see [1,p.172]. The system is strongly-coupled because of the coupling in the highest derivatives in the first equation. Strongly-coupled systems occur frequently in biological and chemical models and they are notoriously difficult to analyze.

    The homogeneous Neumann boundary conditions mean there is no population flux across the boundary Ω and both the infected and susceptible individuals live in the self-contained environment. From the biological point of view, the incidence function h(u,v) is assumed to be continuously differentiable in R2+ and satisfies the following hypotheses (H):

    (i) h(u,0)=h(0,v)=0, for all u,v0;

    (ii) h(u,v)>0, for all u,v>0;

    (iii) h(u,v)u>0, for all u0, v>0;

    (iv) h(u,v)v0, for all u,v0.

    It is easy to check that class of functions h(u,v) satisfying (H) include incidence functions such as

    h(u,v)=h(u,v)=upv,p1,h(u,v)=uva+vq,0<q1[Holling types (1959)[2]];h(u,v)=uvav+u[Ratio-dependent type (1989)[3]];h(u,v)=uv1+au+bv[Beddington-DeAngelis type (1975)[4, 5]];h(u,v)=uv(1+au)(1+bv)[Crowley-Martin type (1989)[6]];

    To the best of our knowledge, there are very few publications (see, for example, [1] and [7]) that consider a SI model with cross-diffusion and density-dependent diffusion. Their model is written by

    ut=d1ΔuαβuΔvβuv,xΩ,t>0,vt=(d2+αβu)Δv+βuvλv,xΩ,t>0,uν=vν=0,xΩ,t>0,u(x,0)=u0(x)>0,v(x,0)=v0(x)>0,xΩ. (1.2)

    In [7], Kirane and Kouachi showed the existence of global solutions of (1.2) when d1d2. However, the structure of the nonlinear diffusion terms (ργ=α) and the reaction terms in the system (1.2) in those works is different than in (1.1).

    The coefficient in the model (1.2) are all spatially-independent. However, it has been shown that environmental heterogeneity can make a great difference to infections disease. There has been considerable an SIS epidemic model with heterogeneous environment[21,22]. On the hand, pattern formation, anomalous diffusion, nonlocal dispersal and chemotaxis effect of the epidemic models are paid more and more attention[23,24,25,26,27]. In recent years, the fractional order epidemic models has attracted great interests(see, for example, [36,37,38,39,40,41,42,43]).

    Here we mention that global existence and boundedness of classical solutions to SKT competition systems with cross-diffusion

    {ut=Δ[(d1+a11u+a12v)u]+μ1u(1ua1v),xΩ,t>0vt=Δ[(d2+a22v)v]+μ2v(1va2u),xΩ,t>0uν=vν=0,xΩ,t>0u(x,0)=u0(x),v(x,0)=v0(x),xΩ (1.3)

    For the system (1.3), it is straightforward to find out that maximum principles can be applied to the second equation of (1.3) to obtain the boundedness of v. Then the key issue is to establish the boundedness for u. However, for the first equation of (1.3), the boundedness of u cannot be obtained directly by using the maximum principle. This is the biggest obstacle in studying the global existence of system (1.3).

    Global existence (in time) of (1.3) has recently received great attention[8,9,28,29,30,31,32,33,34,35], The global existence is proved for n=2 by Lou-Ni-Wu[32], thereafter for n5 by Le-Nguyen-Nguyen[28] and Choi-Liu-Yamada[8], for n9 by phan[9], and the uniform boundedness was asserted when n9 and Ω is convex by Tao-Winkler[34]. In these papers, to get the boundedness of the solution of (1.3), authors first obtained Lp -estimates of the solution and then used the Sobolev embeddings. Therefore, they have a restriction on the dimension n of Ω. Recently, the global existence is proved for arbitrary n1 by Hoang-Nguyen-Pan [29]. Their first obtained Lp -estimates for v for large p, and then obtained Lp -estimates of u for large p. In a different approach, Phan[30] who proved the existence of global solutions of (1.3) without any restrictions on space dimension, but with some restrictions on the amplitude of cross-diffusion coefficient. the authors introduce a new function w of the form w=G(u,v) and then use maximum principles to obtain the boundedness of the solution u (1.3). Using test function techniques, Le-Nguyen[31] obtained some global existence results for n1.

    Here we should stress that the assumption a11>0 plays a crucial role in the analysis in the aforementioned works. When a11=0, whether the solution of the system (1.3) exists globally in time for n1 is still a well-known open problem made by Y. Yamada in [33]. Liu and Tao[35] recently established the existence of global classical solutions for a simplified parabolic-elliptic system (1.3) when a11=0. However, parabolic-parabolic system (1.3) is still a open problem a11>0.

    We also remark that while there have been many results on global solutions to cross-diffusion systems, such as [8,9,10,11,12]. However, in [8,9,10,11,12], the authors utilize the fact that one component is 'trivially' uniformly bounded and use it to bound the other component(s).

    To understand the global dynamics of the system (1.1), an crucial step is to establish the existence of classical solutions of (1.1). Since the dispersal includes cross-diffusion and density-dependent diffusion, the global well-posedness of system (1.1) is nontrivial.

    We would like to mention that (1.1) is very similar to SKT system with cross-diffusion (1.3) when a11=0. Nevertheless, maximum principles can be not applied to the second equation of (1.1) to obtain the boundedness of v We would like to stress that their approachs for SKT systems (1.3) cannot be applied to system (1.1). Our approach first obtain L2 -estimates for u, v, u and v, then introduce a new function L(u,v), and this function allows us to use maximum principles to get the boundedness of the solution u and v.

    Main results. The purpose of this paper is to establish the global existence of classical solutions to (1.1) under heterogeneous environment and the large time behaviour of solution to (1.1) under homogeneous environment. Precisely, we prove the following results:

    Theorem 1.1. Assume that u0,v0>0satisfy the zero Neumann boundary condition and belong toC2+δ(¯Ω), and suppose β(x),λ(x)C2+δ(¯Ω) for some 0<δ<1.Then (1.1) possesses a unique non-negative solution u,vC2+δ,1+δ2(¯Ω×[0,)) if d1d2 and ργ.

    Theorem 1.2. Assume that d1d2, ργ and β, λ are positive constants. Then, the problem (1.1) possesses a unique non-negative global classical solutions (u,v) which satisfies

     u(,t)¯uL2(Ω)+v(,t)L2(Ω)0ast. (1.4)

    Remark 1.3. Theorem 1.1 also valid for (1.1) but with homogeneous Dirichlet boundary condition.

    Remark 1.4. From Theorem 1.1, it is not difficult to see that the conditions d1d2 and ργ play crucial roles in the study of global boundedness of solutions to problem (1.1). It is an open question whether solutions of system (1.1) with bounded non-negative initial data exist globally for d1<d2 or ρ>γ [7]. We believe that the conditions d1d2 and ργ of Theorem 1.1 are just the technical conditions. To drop these conditions, more new ideas and techniques must be developed, and we expect to completely solve it in the future.

    Remark 1.5. The model presented by Kirane and Kouachi in [7] is a particular case of our model (1.1) if we choose ρ=γ=αβ,h(u,v)=βuv.

    The paper is organized as follows. In Section 2, we introduce some known results as priminaries. In Section 3, we prove Theorem 1.1. In Section 4, the large time behaviour of solution to (1.1) are studied. In Section 5, we give an example to illustrate our theoretical results. Conclusions are drawn in Section 6.

    For the time-dependent solutions of (1.1), the local existence of non-negative solutions is established by Amann in the seminal papers [15,16]. The results can be summarized as follows:

    Theorem 2.1. Suppose that u0, v0 are in W1p(Ω) for some p>n.Then (1.1) has a unique non-negative smooth solutionu,v in

    C([0,T),W1p(Ω))C((0,T),C(Ω))

    with maximal existence time T.Moreover, if the solution (u,v) satisfies the estimate

    sup{u(,t)W1p(Ω),v(,t)W1p(Ω):t(0,T)}<,

    then T=.

    We denote

    QT=Ω×[0,T),uLp,q(QT)=(T0(Ω|u(x,t)|pdx)qpdt)1/q,Lp(QT):=Lp,p(QT),uW2,1p(QT):=uLp(QT)+utLp(QT)+uLp(QT)+2uLp(QT),

    T be the maximal existence time for the solution (u,v) of (1.1).

    Let Z be a Banach space and aR+, CB([a,+),Z) denote the space of continuous functions such that remains bounded in Z for t>a. In order to prove Theorem 1.1, we need the following some preliminary Lemmas.

    Lemma 2.2. Let 3<p<. Suppose w is a solution to the followingequation:

    wt=aij(x,t)Dijw+h(x,t) in Ω×[0,T),wν=0 on Ω×[0,T),w(x,0)=w0(x) in Ω, (2.1)

    where T< and {aij(x,t)}i,j=1,,N are boundedcontinuous functions on ¯QT satisfying

    λ|ξ|2aij(x,t)ξiξjΛ|ξ|2,ξRN,

    where λ,Λ are positive constants. Suppose hLp(¯QT). Then there exists a constant Cpdepending on the bounds of {aij(x,t)}i,j=1,,N, λ,Λ,Ω,T and p such that

    wW2,1p(¯QT)Cp(hLp(¯QT)+w0W22pp(Ω)), (2.2)

    where the constant Cp remains bounded for finite values of Tand w0(x) satisfies the compatibility conditionw0ν=0 on Ω.

    This lemma can be found in [17,Theorem 9.1 p.341 and Remark on p.351].

    Lemma 2.3. Let β,λC2+δ(¯Ω), γρ. Thenthere exists a positive constant C such that

    uL2(QT)C,vL2(QT)C,uL2(Ω)C,vL2(Ω)C (2.3)

    for any T>0.

    Proof. By the first two equations in (1.1) we derive

    ddtΩ{12δ1u2+uv+12δ2v2+d1+d2ρu}dx=Ω{δ1uut+vut+uvt+δ2vvt+d1+d2ρut}dx=Ω[d1δ1|u|2+d2δ2|v|2+(d1+d2)uv]dx+Ω(d1+d2)uvdx+Ω(γδ1ρ)u2Δvdx+Ω(δ2γρ)uvΔvdx+Ωβ(x)h(u,v){(1δ1)u+(δ21)vd1+d2ρ}dxΩλ(x)v(u+δ2v)dx. (2.4)

    Choosing δ1=γρ, δ2=ργ, we see from condition γρ that

    1δ10,δ210.

    Here from (2.4) and β(x),λ(x)>0 to gain the estimate

    ddtΩ{12δ1u2+uv+12δ2v2+d1+d2ρu}dxΩ[d1δ1|u|2+d2δ2|v|2]dx. (2.5)

    Integrating the above inequality from 0 to t(t<T), we have

    Ω{12δ1u2+uv+12δ2v2+d1+d2ρu}dx+Qt[d1δ1|u|2+d2δ2|v|2]dxdtC, (2.6)

    where the constant C depends only on d1,d2,γ,ρ, u0L2(Ω), u0L1(Ω) and v0L2(Ω).

    Lemma 2.4. Let β,λC2+δ(¯Ω). For any 0<t<T, we have

    u,vCB(R+;C(¯Ω)) (2.7)

    and

    uLp(QT)C,vLp(QT)C (2.8)

    whenever d1>d2 and ργ.

    Proof. Define the function

    L(u,v)=u+ργv+d+dlog(u/d),

    where d=d2d1γ<0.

    Notice that L(u,v)>0 for u,vR+,ud,v0 and L(d,0)=0. Now define E(x,t):=L(u(x,t),v(x,t)), we have

    dEdt=(u+ρλv)t+dut/u=d1(1+d/u)Δu+d1ρλΔv+(ργ1du)βh(u,v)ρλγv,

    and

    ΔE=(1+d/u)Δu+ργΔvd|logu|2.

    Therefore

    Etd1ΔΣ=d1d|logu|2++(ργ1du)βh(u,v)ρλγv,xΩ,t>0,Eν=0,xΩ,t>0,Eδ(x)=uδ(x)+ργvδ(x)+d+dlog(uδ(x)/d)>0,xΩ, (2.9)

    Eδ(x) is bounded, where 0<δ<T. Since vE and vL((0,+);L2(Ω)). By the maximum principle [19] and the proposition 3.3 of [18], we have

    ECB(R+;C(¯Ω)).

    As u+H+Hlog(u/H)>0, we have

    0<v(x,t)<M,

    and

    0<C0(M)u(x,t)C1(M)<+,

    where M depends only on uδL and vδL, and C0(M) and C1(M) are the solutions of

    M=ν+d+dlog(ν/d).

    By (1.1), we have

    (u+v)t=Δ(d1u+d2v)+(ρλ)uΔvλ(x)v. (2.10)

    Multiplying the Eq (2.10) by 1p(u+v)p1 and integrating by parts, using the Young's inequality, λ(x)C2+δ(¯Ω) and (2.7), we have

    u+vpLp(Ω)C(u2L2(QT)+v2L2(QT))+u0+v0pLp(Ω), (2.11)

    which implies that (2.8) holds by the Lemma 2.3.

    Proof of Theorem 1.1. Now, We will divide the proof of Theorem 1.1 into two cases according to d1>d2 and d1=d2.

    Case (a). d1>d2.

    The second equation of (1.1) can be written as the following form

    vt=(d2+γu)Δv+β(x)h(u,v)λ(x)v, (3.1)

    where d2+γu and β(x)h(u,v)λ(x)v are bounded in ¯QT by Lemma 2.4, β,λC2+δ(¯Ω) and the assumption (H). Applying the Lemma 2.2 to the Eq (3.1) ensures that vW2,1p(QT) is bounded, which implies

    vtLp(QT)C3,1,ΔvLp(QT)C3,1, (3.2)

    where C3,1 is a positive constant independent t. It follows from the first equation of (1.1), Lemma 2.4, β,λC2+δ(¯Ω), the assumption (H) and (3.2) that

    utLp(QT)C3,2,ΔuLp(QT)C3,2, (3.3)

    where C3,2 is a positive constant independent t. Therefore, u,vW2,1(QT)Cσ2,σ(¯QT). By the Schauder theory for parabolic equations and the bootstrap argument, we have

    u,vC2+δ,1+δ2(¯Ω×[0,)).

    Case (b). d1=d2.

    We next consider the case d1=d2. By (1.1), we have

    (γρu+v)t=d1Δ(γρu+v)+(1γρ)βh(u,v)λ(x)v.

    Since γρ, β,λ>0 and β,λC2+δ(¯Ω), using the maximum principle [19] yields

    γρu+vL(Ω)C3,3,

    where C3,3>0 only dependent u0L(Ω), v0L(Ω), d1, γ and ρ. The rest of the proof is same as in the case d1>d2. Finally, by Theorem 2.1 we have (u,v) exists globally in time. The proof of Theorem 1.1 is now complete.

    Proof of Theorem 1.2. Define the Lyapunov functional

    V(t)=Ω{12(γρu+ργv)2+d1+d2ρu}dx

    Then

     dVdt=Ω{(γρu+ργv)(γρu+ργv)t+d1+d2ρut}dx=Ω[d1γρ|u|2+d2ργ|v|2]dx+Ωβh(u,v){(1γρ)u+(ργ1)vd1+d2ρ}dxΩλv(u+ργv)dxΩ[d1γρ|u|2+d2ργ|v|2]dx:=ψ(t). (4.1)

    Here we use the condition γρ and the assumption (H). ψ(t) is bounded by Theorem 1.1. Applying [20,Lemma 1] to (4.1), we have

    limtΩ(|u|2+|v|2)dx=0. (4.2)

    From (4.2) and the Poincaré inequality, we deduce that

    limtΩ{(u¯u)2+(v¯v)2}dx=0, (4.3)

    where ¯g=1|Ω|Ωgdx for a function gL1(Ω).

    On the other hand, we claim that

    v(,t)L2(Ω)=0,ast. (4.4)

    To achieve this, suppose that v(t)L2(Ω) does not converge to 0. Then, there would exist a number K>0 and a time sequence {tm}m=1,2,3, tending to such that v(tm)L2(Ω)K.

    In the meantime, from (1.1) and Theorem 1.1, we have

    |ddtv(t)2L2(Ω)|CΩ(|u|2+|v|2)dx+CM0,0<t<. (4.5)

    So, consider for each m, a continuous function φm(t) for 0<t< such that φ(t)0 for |ttm|KM0, φm(tm)=K for t=tm, and φm(t) is linear for tmKM0ttm and for tmttm+KM0. Then by the mean value theorem, it must hold that v(t)2L2(Ω)φm(t) for all <t<. Furthermore, |v(t)2L2(Ω)supmφm(t). But this contradicts 0|v(t)2L2(Ω)dt< by (4.5).

    It follows from (4.3) and (4.4) that

    u(,t)¯uL2(Ω)0,v(,t)L2(Ω)0,ast. (4.6)

    Thus the proof of Theorem 1.2 is completed.

    Choose h(u,v)=uv1+au+bv, then hypotheses (H) hold. System (1.1) reduces to

    ut=d1ΔuρuΔvβ(x)uv1+au+bv,xΩ,t>0,vt=(d2+γu)Δv+β(x)uv1+au+bvλ(x)v,xΩ,t>0,uν=vν=0,xΩ,t>0,u(x,0)=u0(x)0,v(x,0)=v0(x)0,xΩ, (5.1)

    According to Theorem 1.1 and Theorem 1.2, one can obtain the following.

    Theorem 5.1. Assume that u0,v0>0satisfy the zero Neumann boundary condition and belong toC2+δ(¯Ω), and suppose β(x),λ(x)C2+δ(¯Ω) for some 0<δ<1.Then (5.1) possesses a unique non-negative solution u,vC2+δ,1+δ2(¯Ω×[0,)) if d1d2 and ργ.

    Theorem 5.2. Assume that d1d2, ργ and β, λ are positive constants. Then, the problem (5.1) possesses a unique non-negative global classical solutions (u,v) which satisfies

     u(,t)¯uL2(Ω)+v(,t)L2(Ω)0ast. (5.2)

    This paper presents a mathematical study on the dynamical behavior of a nonlinear diffusion SI epidemic model with general nonlinear incidence rate of the form h(u,v). The functions h(u,v) includes a number of especial incidence rates. For instance, h(u,v)=upv,p1, h(u,v)=uva+vq,0<q1, h(u,v)=uvav+u, h(u,v)=uv1+au+bv and h(u,v)=uv(1+au)(1+bv). The well-posedness of the model, including local existence, nonnegativity, global existence of solutions under heterogeneous environment and the large time behaviour of solution to (1.1) under homogeneous environment have been established if d1d2 and ργ. Our results cover and improve some known results. However, it is an open question whether solutions of system (1.1) with bounded non-negative initial data exist globally for d1<d2 or ρ>γ. We believe that the conditions d1d2 and ργ of Theorem 1.1 are just the technical conditions.

    The authors are very grateful to the anonymous referees for their valuable comments and suggestions, which greatly improved the presentation of this work. The first author is partially supported by National Natural Science Foundation of China (Grants nos. 11661051), Sichuan province science and technology plan project (Grants nos. 2017JY0195), Research and innovation team of Neijiang Normal University (Grants nos. 17TD04), and the second author is partially supported by Scientific research fund of Sichuan province provincial education department (Grants nos. 18ZB0319).

    The authors declare no conflicts of interest.



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