Loading [MathJax]/jax/element/mml/optable/BasicLatin.js
Research article

Periodic wave solutions of a non-Newtonian filtration equation with an indefinite singularity

  • This paper is concerned with the existence of periodic wave solutions for a type of non-Newtonian filtration equations with an indefinite singularity. A sufficient criterion for the existence of periodic wave solutions for non-Newtonian filtration equation is provided via an innovative method of combining a new continuation theorem with coincidence degree theory as well as mathematical analysis skills. The novelty of the present paper is that it is the first time to discuss the existence of periodic wave solutions for the indefinite singular non-Newtonian filtration equations. Finally, two numerical examples are presented to illustrate the effectiveness and feasibility of the proposed criterion in the present paper.

    Citation: Famei Zheng. Periodic wave solutions of a non-Newtonian filtration equation with an indefinite singularity[J]. AIMS Mathematics, 2021, 6(2): 1209-1222. doi: 10.3934/math.2021074

    Related Papers:

    [1] Edil D. Molina, Paul Bosch, José M. Sigarreta, Eva Tourís . On the variable inverse sum deg index. Mathematical Biosciences and Engineering, 2023, 20(5): 8800-8813. doi: 10.3934/mbe.2023387
    [2] Wanlin Zhu, Minglei Fang, Xianya Geng . Enumeration of the Gutman and Schultz indices in the random polygonal chains. Mathematical Biosciences and Engineering, 2022, 19(11): 10826-10845. doi: 10.3934/mbe.2022506
    [3] Xinmei Liu, Xinfeng Liang, Xianya Geng . Expected Value of Multiplicative Degree-Kirchhoff Index in Random Polygonal Chains. Mathematical Biosciences and Engineering, 2023, 20(1): 707-719. doi: 10.3934/mbe.2023032
    [4] Saylé C. Sigarreta, Saylí M. Sigarreta, Hugo Cruz-Suárez . On degree–based topological indices of random polyomino chains. Mathematical Biosciences and Engineering, 2022, 19(9): 8760-8773. doi: 10.3934/mbe.2022406
    [5] Qi Wang, Lifang Huang, Kunwen Wen, Jianshe Yu . The mean and noise of stochastic gene transcription with cell division. Mathematical Biosciences and Engineering, 2018, 15(5): 1255-1270. doi: 10.3934/mbe.2018058
    [6] V. R. Kulli, J. A. Méndez-Bermúdez, José M. Rodríguez, José M. Sigarreta . Revan Sombor indices: Analytical and statistical study. Mathematical Biosciences and Engineering, 2023, 20(2): 1801-1819. doi: 10.3934/mbe.2023082
    [7] Ricai Luo, Khadija Dawood, Muhammad Kamran Jamil, Muhammad Azeem . Some new results on the face index of certain polycyclic chemical networks. Mathematical Biosciences and Engineering, 2023, 20(5): 8031-8048. doi: 10.3934/mbe.2023348
    [8] Xiujun Zhang, H. G. Govardhana Reddy, Arcot Usha, M. C. Shanmukha, Mohammad Reza Farahani, Mehdi Alaeiyan . A study on anti-malaria drugs using degree-based topological indices through QSPR analysis. Mathematical Biosciences and Engineering, 2023, 20(2): 3594-3609. doi: 10.3934/mbe.2023167
    [9] Mert Sinan Oz, Roberto Cruz, Juan Rada . Computation method of the Hosoya index of primitive coronoid systems. Mathematical Biosciences and Engineering, 2022, 19(10): 9842-9852. doi: 10.3934/mbe.2022458
    [10] Peng Gu, Dongrong Yang, Jin Zhu, Minhao Zhang, Xiaoliang He . Bioinformatics analysis identified hub genes in prostate cancer tumorigenesis and metastasis. Mathematical Biosciences and Engineering, 2021, 18(4): 3180-3196. doi: 10.3934/mbe.2021158
  • This paper is concerned with the existence of periodic wave solutions for a type of non-Newtonian filtration equations with an indefinite singularity. A sufficient criterion for the existence of periodic wave solutions for non-Newtonian filtration equation is provided via an innovative method of combining a new continuation theorem with coincidence degree theory as well as mathematical analysis skills. The novelty of the present paper is that it is the first time to discuss the existence of periodic wave solutions for the indefinite singular non-Newtonian filtration equations. Finally, two numerical examples are presented to illustrate the effectiveness and feasibility of the proposed criterion in the present paper.


    Plant-herbivore interactions have been studied previously by a huge number of investigators including mathematicians and ecologists by using differential equation models and theories in dynamical systems. One of the most commonly use differential equations used the traditional Holling Type II functional response, which assumes that the growth rate of herbivore is a monotonically increasing function of plant density. However, this will not be reasonable if the chemical defense of plants is considered, in which case the negative effect of plant toxin on herbivore can lead to a decrease in the growth rate when the plant density is high. To explore the impact of plant toxicity on the dynamics of plant-herbivore interactions, models that include a toxin-determined functional response are proposed. The toxin-determined functional response is a modification of the traditional Holling Type II response by including the negative effect of toxin on herbivore growth, which can overwhelm the positive effect of biomass ingestion at sufficiently high plant toxicant concentrations.

    In this paper, we consider the following system of plant-herbivore interactions with toxin-determined functional responses:

    {Uτ=D1ΔU+AU(1UK)eU1+heU(1eBU1+heU)V,(x,τ)Ω×(0,),Vτ=D2ΔVEV+eCU1+heU(1eBU1+heU)V,(x,τ)Ω×(0,),νU=νV=0,(x,τ)Ω×(0,),U(x,0)=U0(x)0,V(x,0)=V0(x)0,xΩ, (1.1)

    where Ω is a bounded open domain in RN (N1) with a smooth boundary Ω; U and V are the densities of the plant and herbivore for (x,τ)Ω×(0,) respectively; D1 and D2 stand for the diffusion rates of the plant (for seed dispersal) and the predator respectively. A and K are the intrinsic growth rate and carrying capacity of the plant species respectively; e is the rate of encounter per unit plant per herbivore, h is the average time required for handling one unit of plant biomass; C is the conversion rate of the consumed plant biomass into new herbivore biomass; E is the per capita death rate of the herbivore due to causes unrelated to plant toxicity. The term 1eBU/(1+heU), captures the negative toxin effects, where it is required that h/4<B<h.

    System (1.1) has been studied extensively by several authors, but most of the research focuses either on the corresponding ODEs system or on the PDEs system but concentrating on the traveling wave solutions. For example, Feng, Liu and DeAngelis [1] studied the stability of the equilibrium solutions and Hopf bifurcations of the ODEs system; Liu, Feng, Zhu and DeAngelis [2] further performed detailed bifurcation analysis of the ODEs system reveals a rich array of possible behaviors including cyclical dynamics through Hopf bifurcations and homoclinic bifurcation; Castillo-Chavez, Feng and Huang [3] studied the global dynamics of the corresponding ODEs system. They were able to find necessary and sufficient condition on the nonexistence of a closed orbit via the transformation of the model to a new equivalent system. The Poincare-Bendixson theorem was used to show that the existence of a unique interior equilibrium point guarantees its global asymptotical stability whenever it is locally asymptotically stable. Zhao, Feng, Zheng and Cen [4] studied the existence of limit cycles and homoclinic bifurcation in the ODEs. By using the theory of rotated vector fields and the extended planar termination principle, they showed the existence of limit cycles and homo-clinic loop. Li, Feng, Swihart, Bryant and Huntly [5] considered an ODE system of n plant species and one herbivore population, which exhibits a rich variety of complex dynamics including Hopf bifurcation and period-doubling bifurcations. Feng, Huang and DeAngelis [6] studied the reaction-diffusion models for plant-herbivore interactions with toxin-determined functional response with two plant species that have different levels of toxicity. It was shown that under suitable conditions, the system might have traveling wave solutions; More recently, Xiang, Wu and Wan [7] use the steady state bifurcation theory and Hopf bifurcation theory to study the existence of multiple bifurcations.

    In this paper, however, we shall limit our attention to the occurrence of steady state solutions bifurcating from the positive constant equilibrium solution by using the classical local and global steady state bifurcation theory in the sense of Crandall and Rabinowitz ([8,9]). By using the diffusion rate d2 of the predator as the main bifurcation parameter, we are able to show the existence of global bifurcating branches consisting of positive non-constant steady state solutions, that is., for any d2 larger than certain critical value, then the diffusive system will have at least a positive non-constant steady state solution. On the other hand, compared with the diffusion rate d1 of the plant, the diffusion rate d2 of the herbivore tend to be sufficiently large from practical point of view. Thus, for any fixed d1, the dynamics of the system for sufficient larger d2 will be of great concern. Note that one way to solve the steady states of (1.2) for the larger d2 case is to use the "shadow system"approach [10], which basically considers the limiting system when the diffusion rate d2 tends to infinity. The shadow system is presumably easier to analyze, and the wish is that properties of solutions to the shadow system reflect that of the solutions to the original system, at least for d2 sufficiently large. To a certain extent, this is true. From this point of view, the shadow system approach is the main advantage of our work compared with other existing literatures when we consider the case of d2 sufficiently large.

    Based on the aforementioned observations, we are to prove the existence of the positive non-constant steady state solutions of both original system and its limiting system-the shadow system. To make our discussions simpler, we introduce the following change of variables:

    t=τA,u=ehU,v=ehVC,d1=D1A,d2=D2A,k=Keh,m=ChA,θ=EA,γ=Bh.

    Then, we can reduce system (1.1) to the following dimensionless form

    {ut=d1Δu+u(1uk)mu1+u(1γu1+u)v,(x,t)Ω×(0,),vt=d2Δvθv+mu1+u(1γu1+u)v,(x,t)Ω×(0,),νu=νv=0,(x,t)Ω×(0,),u(x,0)=u0(x)0,v(x,0)=v0(x)0,xΩ, (1.2)

    where γ(1/4,1). System (1.2) is similar to the classical predator-prey system with Holling type-II functional responses where γ=0. (For more details, we refer to [11,12] and references therein). To facilitate the needs to perform our bifurcation analysis, without loss of generality, we treat only the simpler case when Ω:=(0,) for >0.

    The remaining parts of this paper are organized as follows. In Section 2, we consider the spatial patterns of the original system by performing detailed local and global steady state bifurcation to the original system; In Section 3, we study the spatial patterns of the shadow system (the limiting system when d2) by using the time-mapping methods; In Section 4, we end up our discussions by drawing some conclusions.

    In this section, we shall perform detailed global steady state bifurcation analysis to the system by using d2 as the bifurcation parameter. Without loss of generality, we shall limit our attention to the case of Ω=(0,) for >0. The steady state problem of system (1.1) is governed by the following elliptic equations:

    {d1Δu+u(1uk)mu1+u(1γu1+u)v=0,x(0,),d2Δvθv+mu1+u(1γu1+u)v=0,x(0,),νu=νv=0,x=0,. (2.1)

    One can check that: if 1/4<γ1/2 holds, then u1+u(1γu1+u) is increasing in u, while it is unimodal if 1/2<γ<1 holds, more precisely, if 0<u<1/(2γ1), it is increasing, while if u>1/(2γ1), it is decreasing.

    Clearly, if 14<γ12 and θm(0,k1+k(1γk1+k)) holds, then system (2.1) has a unique positive constant solution, denoted by (λ,vλ), satisfying 0<λ<k and

    λ1+λ(1γλ1+λ)=θm,vλ:=(kλ)(λ+1)2mk(1+(1γ)λ).

    Define X={(u,v):u,vC2[0,],u=v=0 onx=0,} and Y=L2(0,)×L2(0,) be the Hilbert space with the inner product

    (U1,U2)Y:=(u1,u2)L2(0,)+(v1,v2)L2(0,)

    for U1:=(u1,v1)Y,U2:=(u2,v2)Y. Define the mapping F:(0,)×XY by

    F(d2,u,v):=(d1u+u(1uk)mu1+u(1γu1+u)vd2vθv+mu1+u(1γu1+u)v).

    Clearly, for all d2>0, we have F(d2,λ,vλ)=0. The linearized operator evaluated at (λ,vλ) is given by

    L:=F(u,v)(d2,λ,vλ)=(d1Δ+σ1(λ)θσ2(λ)d2Δ),

    where Δ:=2x2 and

    σ1(λ):=λ(2(1γ)λ2+(kkγ3)λ+k+kγ1)k(1+(1γ)λ)(1+λ),σ2(λ):=(kλ)(1+(12γ)λ)k(1+λ)(1+(1γ)λ).

    By [7,10,12], the eigenvalues of L can be determined by the eigenvalues of Ln defined by

    Ln=(σ1(λ)d1τnθσ2(λ)d2τn),nN0:={0,1,2,}, (2.2)

    where τn is the eigenvalue of Δ on Ω subject to the homogenous Neumann boundary conditions satisfying 0=τ0<τ1<τ2<. The characteristic equation of Ln is given by

    ρ2Tn(λ)ρ+Dn(λ)=0, (2.3)

    where

    Tn(λ)=σ1(λ)(d1+d2)τn,Dn(λ):=d1d2τ2na11(λ)d2τn+θσ2(λ). (2.4)

    One can check that: if k1/(1+γ) holds, then for all λ(0,k), σ1(λ)<0; while if k>1/(1+μ) holds, then there exists a ˆλ(0,k), such that for any λ(0,ˆλ), σ1(λ)>0, σ1(ˆλ)=0, while for any λ(ˆλ,k), σ1(λ)<0.

    Then, if either k1/(1+γ) or k>1/(1+γ) but λ(ˆλ,k), we have σ1(λ)<0, indicating that Tn(λ)<0. Since σ2(λ)>0 for λ(0,k), we have Dn(λ)>0. Hence, (λ,vλ) is locally asymptotically stable in system (2.1).

    Now, we mainly consider the case when k>1/(1+γ) but λ(0,ˆλ), in which case σ1(λ)>0.

    Then, zero is an eigenvalue of Ln if and only if

    d2=d(n)2:=θσ2(λ)(σ1(λ)d1τn)τn,for some n>0such that τn<σ1(λ)/d1. (2.5)

    Defining d2=d(n)2, we have kerL=span{Φ}, with Φ=(1,κn)Tϕn, where ϕn is the eigenfunction Δ corresponding to τn, and κn=(σ1(λ)d1τn)/θ>0.

    Consider the adjoint operator of L:

    L:=(d1Δ+σ1(λ)σ2(λ)θd2Δ).

    Then, kerL=span{Φ}, with Φ=(1,κn)Tϕn, where κn=(d1τnσ1(λ))/σ2(λ)<0. Since rangeL=(kerL), the codimension of rangeL is the same as dimL=1. Thus, kerF(u,v)(d(n)2,λ,vλ) and Y/rangeF(u,v)(d(n)2,λ,vλ) are one-dimensional.

    Finally, we show that F(d2,(u,v))(d(n)2,λ,vλ)ΦrangeF(u,v)(d(n)2,λ,vλ). In fact, we have

    F(d2,(u,v))(d(n)2,λ,vλ)Φ=(000Δ)(1κn)ϕn=(0τnκnϕn)

    and (F(d2,(u,v))(d(n)2,λ,vλ)Φ,Φ)Y=(τnκnϕn,knϕn)L2=τnκnkn>0. Thus, we can conclude that F(d2,(u,v))(d(n)2,λ,vλ)ΦrangeF(u,v)(d(n)2,λ,vλ).

    So far, by Theorem 1.7 of [8], we have the following results on the local existence of the steady state bifurcation branches:

    Theorem 2.1. Suppose that 14<γ12, k>1/(1+γ), θm(0,k1+k(1γk1+k)), λ(0,ˆλ) and n is a positive integer such that τn<σ1(λ) and d(n)2d(m)2 for any integers mn. Then, (d(n)2,λ,vλ) is a steady state bifurcation point. More precisely, there exists a one-parameter family of non-constant positive solutions (d2(s),u(s)(x),v(s)(x)) of system (2.1) for |s| sufficiently small, where d2(s), u(s), v(s) are continuous functions, d2(0)=d(n)2, and u(s)=λ+sϕn+o(s), v(s)=vλ+sκnϕn+o(s), where κn=(σ1(λ)d1τn)/θ>0. The zero set of F consists of two curves (d2(s),u(s)(x),v(s)(x)) and (d2,λ,vλ) in a neighborhood of the bifurcation point (d(n)2,λ,vλ).

    Definition 2.2. ([13]) A component A of the set of the non-constant solution of system (2.1) is said to exist globally with respect to d2 if and only if ¯Proj(A) contains 0, where Proj stands for the projection operator from (0,+)×X to d2 space and the upper bar represents the closure operator in R.

    Next, we shall consider the existence of global steady state bifurcation branches.

    Theorem 2.3. Let C1 be the closure of the set of the non-constant solution of system (2.1) in (0,+)×X. Denote by Cd(n)2 the component in C1 to which (d(n)2,λ,vλ) belongs. Under the same assumptions of Theorem 2.1, the component Cd(n)2 exists globally with respect to d1.

    Proof. 1) We first argue that, if (u(x),v(x)) is a non-negative solution of (2.1), then, either (u,v) is one of (0,0) and (k,0), or for x¯Ω, (u(x),v(x)) is a non-constant positive solution such that 0<u(x)<k and 0<v(x)<k(d2+θd1)/(θd2). This can be obtained by slightly modifying the proof of Lemma 3.5 in [12].

    2) We are going to use Theorems 2.2 and 2.3 of [13] to prove our desired results. Before going, we would like to comment that our results (Theorem 2.3) are similar to but different from Theorem 2.2 of [13] since Theorems 2.2 and 2.3 of [13] chooses d1 as main bifurcation parameter (fixing d2), while ours chooses d2 as main bifurcation parameter (fixing d1).

    Following [13], we define the hyperbolic curves {Cn}n=1 in (0,+)×(0,+) by

    Cn:={(d1,d2)(0,+)×(0,+):d2=d(n)2:=θσ2(λ)(σ1(λ)d1τn)τn}.

    Let C1 be the closure of the set of the non-constant solution of system (2.1) in (0,+)×X. Denote by Cd(n)2 the component in C1 to which (d(n)2,λ,vλ) belongs.

    To study the existence of global steady state bifurcations, it means to consider how the local bifurcating branch behaves when d2 leaves the critical value d(n)2. By the Rabinowitz's standard global bifurcation theorem [9], the component in (0,+)×X which contains the local bifurcating branch exists globally in the sense that either there is no closed bounded set in the interior of (0,+)×X which contains the component, or else such a set must contain the bifurcation points other than (d(n)2,λ,vλ). We shall rule out the possibility of the latter case.

    For each fixed d1, we denote the countable set {d(n)2:(d1,d(n)2)n=1Cn{(d1,d2)CnCm:mn}} by Bd1.

    Since the non-constant positive solution of system (2.1) is bounded as shown in part 1, by the Rabinowitz's standard global bifurcation theorem, to prove the desired results, it sufficient to rule out the possibility that Cd(n)2 contains a finite subset P={d(n)2:(d(n)2,λ,vλ)Cd(n)2} of Bd1. Suppose otherwise. Following [13], define

    ¯q=max

    and denote the value of d_2^{(q)}\in P which attains \overline q by d_2^{(\overline q)} . Under the assumptions of Theorem 2.1, d_2^{(n)}\neq d_2^{(m)} for any integers m\neq n . Thus, the bifurcation point (d_1, d_2^{(\overline q)})\in C_{\overline q} is simple. By Remark 1.2 of [13], it follows that if (d_1, d_2^{(\overline q)})\in C_{\overline q} , then \bigg(\overline q^2d_1, \overline q^2d_2^{(\overline q)}\bigg)\in C_1 . This implies that \bigg(\overline q^2d_1, \overline q^2d_2^{(\overline q)}\bigg)\in C_1 is simple. In particular, by (2.3) of [13], we have

    \begin{equation} T^{\overline q}\bigg(\mathcal C_{{(\overline q^2d_2^{(\overline q)})}^{(1)}}\bigg)\subset \mathcal C_{d_2^{(n)}}, \end{equation} (2.6)

    where T^{\overline q} (with \overline q any of the positive integer) is defined in the following way (See also (2.2) of [13]):

    \begin{equation} T^{\overline q}\bigg(U_0(x)\bigg) = \begin{cases} U_0\bigg(\overline q\bigg(x-\dfrac{i}{\overline q}\bigg)\bigg),\;\text{if}\; i \;\text{is even},\\ U_0\bigg(\overline q\bigg(\dfrac{1}{\overline q}-x+\dfrac{i}{\overline q}\bigg)\bigg),\;\text{if}\; i \;\text{is odd},\\ \end{cases} \end{equation} (2.7)

    where U_0(x) is any smooth solution of (2.1) with (d_1, d_2) = (d_1, d_2^{(n)}) .

    Suppose that \mathcal C_{{(\overline q^2d_2^{(\overline q)})}^{(1)}} exists globally (does not contain a bifurcation point different from (d_2^{(n)}, \lambda, v_ \lambda) ), then T^{\overline q}\bigg(\mathcal C_{(\overline q^2d_2^{(\overline q))^{(1)}}}\bigg) also exists globally (does not contain a bifurcation point different from (d_1, d_2^{(n)}) , which is impossible since by (2.6), \mathcal C_{d_2^{(n)}} contains a finite subset P = \{d_2^{(n)}: (d_2^{(n)}, \lambda, v_ \lambda)\in \mathcal C_{d_2^{(n)}}\} of \mathcal B_{d_1} . A contradiction!

    Suppose that \mathcal C_{{(\overline q^2d_2^{(\overline q)})}^{(1)}} does not exist globally, then it must contain a bifurcation point (d_1, \overline q^2d_2^{(s)}) for some interger s\geq2 . However, this is also impossible since it contradicts the fact that \overline q is the maximum value of q , since by T^{\overline q}\bigg(\mathcal C_{{(\overline q^2d_2^{(\overline q)})}^{(1)}}\bigg) , we can obtain that \mathcal C_{d_2^{(n)}} must contain (d_2^{(\overline q)s}, \lambda, v_ \lambda) . Again, the contradiction occurs. Thus, the proof is completed.

    In this section, we shall consider the existence of non-constant positive steady state solution of the shadow system of the original system, say letting d_2\rightarrow \infty .

    Rewrite the second equation of system (2.1) in the following way:

    \begin{equation} v_{xx}+d_2^{-1}\left( \frac{mu}{1+u}(1- \frac{\gamma u}{1+u})-\theta\right)v = 0. \end{equation} (3.1)

    Since 0 < u(x) < k and 0 < v(x) < k(d_2 +\theta d_1)/(\theta d_2) , then for fixed d_1 > 0 , as d_2\rightarrow \infty , we have 0\leq u(x)\leq k, 0\leq v(x)\leq k/\theta . Then, as d_2\rightarrow \infty , we have, \Delta v\rightarrow0 . Therefore, v\rightarrow \xi , where \xi is a constant satisfying 0\leq\xi\leq k/\theta .

    Thus, as d_2\rightarrow \infty , system (2.1) is reduced to the following limit system:

    \begin{equation} \begin{cases} d_1\Delta u+u\big(1- \frac{u}{k}\big)- \frac{mu}{1+u}(1- \frac{\gamma u}{1+u})\xi = 0,\;\; &x\in(0,\ell),\\ \partial_\nu u = 0, &x = 0,\ell,\\ \int_0^\ell\big( \frac{mu}{1+u}(1- \frac{\gamma u}{1+u})-\theta\big)dx = 0,& \end{cases} \end{equation} (3.2)

    with 0\leq u(x)\leq k, 0\leq \xi\leq k/\theta , \gamma\in(1/4, 1) . System (3.2) is called shadow system of (2.1).

    As in Theorem 2.1, we assume that 1/4 < \gamma\leq1/2 and \frac{\theta}{m}\in\bigg(0, \frac{k}{1+k}\big(1- \frac{\gamma k}{1+k}\big)\bigg) hold so that system (3.2) has a unique positive constant solution, denoted by (\lambda, v_ \lambda) .

    We claim that the set of increasing solutions will be able to characterizes all the solutions of (3.2). In fact,

    1) The set of increasing solutions can describe all the decreasing solutions of (3.2). Indeed, suppose that system (3.2) has an increasing solution u = u(x) in (0, \ell) , then we can check that u_-(x): = u(\ell-x) must be a decreasing solution of system (3.2); Thus, by using increasing solutions, we can construct decreasing solutions;

    2) The set of increasing solutions can describe all the solutions of (3.2) (not necessarily limited to the decreasing solutions). Indeed, suppose that system (3.2) has an increasing solution u = u(x) in (0, \ell) . Following Lemma 2.1 of [13], we define

    \begin{equation*} u_n(x) = \begin{cases} u(n(x-\frac{i\ell}{n})),\;\text{if}\;i\;\text{is even},\\ u(n(\frac{\ell}{n}-(x-\frac{i\ell}{n}))),\;\text{if}\;i\;\text{is odd},\\ \end{cases} \end{equation*}

    for i\ell/n\leq x\leq (i+1)\ell/n and 0\leq i\leq n-1 , with n > 2 ; In fact, u_n(x) is constructed by means of successive (n-1) -times reflections of u(nx)\; (0\leq x\leq\ell/n) at i\ell/n\; (i = 1, 2, \cdots, n-1) . Since (3.2) is an autonomous system and u_n(x) is matched at i\ell/n\; (i = 1, 2, \cdots, n-1) . Thus, one can check that u_n(x) is the solution of d_1/n^2\Delta u+u\big(1-\frac{u}{k}\big)-\frac{mu}{1+u}(1-\frac{\gamma u}{1+u})\xi = 0 . Since the purpose of the paper is to find the non-constant solution of d_1/\Delta u+u\big(1-\frac{u}{k}\big)-\frac{mu}{1+u}(1-\frac{\gamma u}{1+u})\xi = 0 for small d_1 (See the conditions f'(\lambda) > \frac{d_1\pi^2}{\ell^2} in Theorem 3.3). Thus, if we are able to prove the existence of the increasing solution of (3.2) in (0, \ell) , we can construct other non-monotone solutions u_n(x) by using d_1/n^2 to replace d_1 ;

    In the following, we shall only concentrate on the increasing solutions of system (3.2).

    We define

    \begin{equation} f(u): = u\big(1- \frac{u}{k}\big)- \frac{mu}{1+u}(1- \frac{\gamma u}{1+u})\xi,\;\text{and}\;F(u): = \int_0^uf(s)ds, \end{equation} (3.3)

    and introduce the energy functional I(x): = \frac{d_1}{2}(u_x(x))^2+F(u(x)) . Then, I'(x) = d_1u''(x)+f(u) in (0, \ell) . If u = u(x) is a non-constant increasing solution of (3.2), then I'(x)\equiv0 in (0, \ell) and F(u(x)) < F(u(0)) = F(u(\ell)) , since u'(0) = u'(\ell) = 0 . In particular, F(u) must attain its local minimal value at a point in (u(0), u(\ell)) .

    We rewrite f(u) as

    \begin{equation} f(u) = \frac{mu}{1+u}(1- \frac{\gamma u}{1+u})(p(u)-\xi), \;\text{where},\; p(u): = \frac{(k-u)(u+1)^2}{mk(1+(1-\gamma)u)}. \end{equation} (3.4)

    Clearly, p(0) = 1/m , p(+\infty) = -\infty . We have the following results on the function p(u) :

    Lemma 3.1. 1) Suppose that k\leq1/(1+\gamma) holds. Then, p(u) is strictly decreasing in (0, \infty) and there exists a unique u^*\in(0, \infty) , such that for any u\in(0, u^*) , p(u) > 0 for any u\in(0, u_*) , while p(u) < 0 for any u\in(u^*, \infty) . In particular, p(u) attains its local maximal value at u = 0 .

    2) Suppose that k > 1/(1+\gamma) holds. Then, there exists u_*, u^*\in(0, \infty) , with u_* < u^* , such that for any u\in(0, u_*) , p'(u) > 0 for any u\in(0, u_*) , while p'(u) < 0 for any u\in(u_*, \infty) . In particular, p(u) attains its maximal value at u = u_* . Moreover, for any u\in(0, u^*) , p(u) > 0 for any u\in(0, u_*) , while p(u) < 0 for any u\in(u^*, \infty) .

    Proof. Note that

    \begin{equation*} p'(u) = \frac{u+1}{km(1+(1-\gamma)u)^2}\big(-2(1-\gamma)u^2+(k(1-\gamma)-3)u+k(1+\gamma)-1\big). \end{equation*}

    Analyzing the properties of p'(u) , we can obtain the desired results.

    From (3.4) and Lemma 3.1, it follows that: if either k\leq1/(1+\gamma) or k > 1/(1+\gamma) but \xi\geq p(u_*) holds, F(u) will never its minimal value point in (0, \infty) . Therefore, system (3.2) will never have positive non-constant solutions. Thus, to expect non-constant positive solutions, we need to assume that k > 1/(1+\gamma) and \xi\in\big(1/m, p(u_*)\big) . In this case, by (3.4), f(u) = 0 have two roots in (0, \infty) , denoted by u_{1, 2}(\xi) , satisfying 0 < u_1(\xi) < u_* < u_2(\xi) < u^* ; And f(u) < 0 for 0 < u < u_1(\xi) and u_2(\xi) < u < +\infty , while f(u) > 0 for u_1(\xi) < u < u_2(\xi) . Therefore, F(u) is decreasing in (0, u_1(\xi))\cup(u_2(\xi), \infty) , and increasing in (u_1(\xi), u_2(\xi)) . In particular, F(u) takes its local minimum value at u = u_1(\xi) . Define

    \begin{equation*} \kappa_0(\xi): = \begin{cases} \;\;\;0,\;\;\;\;\text{if}\;F(0)\le F(u_2(\xi)),\\ \kappa(\xi),\;\text{if}\;F(0) > F(u_2(\xi)), \end{cases} \end{equation*}

    where \kappa(\xi)\in(0, u_1(\xi)) , such that F(\kappa(\xi)) = F(u_2(\xi)) . Then, for any u(0)\in(\kappa_0(\xi), u_1(\xi)) , there exists a unique u^0(\xi)\in(u_1(\xi), u_2(\xi)) , such that F(u(0)) = F(u^0(\xi)) .

    Since I'(x)\equiv0 , we have I(x)\equiv F(\alpha) , where we write u(0) = \alpha and u(\ell) = \beta . Since u'(x) is assumed to be positive, we have

    \begin{equation} u'(x) = \frac{1}{\sqrt{d_1}}\sqrt{2(F( \alpha)-F(u))},\;x\in(0,\ell). \end{equation} (3.5)

    Integrating (3.5) from 0 to \ell , by u(0) = \alpha and u(\ell) = \beta , we have,

    \begin{equation*} \label{ell} \ell = \sqrt{d_1}\int_ \alpha^\beta \frac{du}{\sqrt{2(F( \alpha)-F(u))}}. \end{equation*}

    Regarding \ell in (3) as a function of \alpha , we have the following results:

    Lemma 3.2. Suppose that \dfrac{1}{4} < \gamma\leq\dfrac{1}{2} , \xi\in(1/m, p(u_*)) and k > \dfrac{1}{1+\gamma} hold. Then, for any \alpha\in(\kappa_0(\xi), u_1(\xi)) , \dfrac{d\ell}{d \alpha} < 0 .

    Proof. Step 1: Following [10], for a given number u\in(\alpha, \beta) , define u = \rho(s) by the relation

    \begin{equation} F(\rho(s))-F(u_1(\xi)) = \frac{s^2}{2},\;{\rm sign}\; s = {\rm sign}(u-u_1(\xi)) = {\rm sign}(f(u)). \end{equation} (3.6)

    Differentiating the first equation of (3.6) with respect to s , we have f(\rho(s))\rho'(s) = s . By the second equation of (3.6), we have \rho(s) > u_1(\xi) for s > 0 , \rho(0) = 0 and \rho(s) < u_1(\xi) for s < 0 . This together with f(\rho(s))\rho'(s) = s , implies that \rho'(s) > 0 for all s\neq0 , where we use the facts that f(u) > 0 for u\in(u_1(\xi), u_2(\xi)) and f(u) < 0 for u\in(\kappa_0(\xi), u_1(\xi)) . Then, s = \rho^{-1}(u) is well defined and is strictly increasing in (\alpha, \beta) . By [10] (pages of 314–315), we have

    \begin{equation} \begin{split} \rho'(s)& = \frac{\sqrt{2(F(u)-F(u_1(\xi)))}}{|f(u)|},\rho''(s) = \frac{-f^2(u)+2f'(u)(F(u)-F(u_1(\xi)))}{f^3(u)}, \end{split} \end{equation} (3.7)

    and \rho'''(s) = - \frac{\rho'(s)}{f^4(u)}z(u) , where

    \begin{equation} z(u): = 2f(u)f''(u)(F(u)-F(u_1(\xi)))+3f'(u)\big(f^2(u)-2f'(u)(F(u)-F(u_1(\xi)))\big). \end{equation} (3.8)

    In particular, \rho'(0) = \frac{1}{\sqrt{f'(u_1(\xi))}} and

    \begin{equation} \begin{split} \rho''(0) = - \frac{f''(u_1(\xi))}{3(f'(u_1(\xi)))^2},\;\rho'''(0) = \frac{\big(5(f''(u_1(\xi)))^2-3f'(u_1(\xi))f'''(u_1(\xi))\big)}{12\sqrt{(f'(u_1(\xi)))^{7}}}. \end{split} \end{equation} (3.9)

    Step 2: Let \omega > 0 be given by

    \begin{equation} \frac{1}{2}\omega^2 = F( \alpha)-F(u_1(\xi)) > 0, \alpha\in(\kappa_0(\xi), u_1(\xi)), \end{equation} (3.10)

    which implies from (3.6) that 2(F(\alpha)-F(u)) = \omega^2-s^2 and

    \begin{equation} \ell = \sqrt{d_1}\int_{-\omega}^\omega \frac{\rho'(s)ds}{\sqrt{\omega^2-s^2}} = \sqrt{d_1} \int_0^\pi \rho'(-\omega\cos t)dt, \end{equation} (3.11)

    where the last equality was obtained by making the change of variable s = -\omega\cos t , 0\leq t\leq\pi . Regarding \omega in (3.10) as a function of \alpha in (\kappa_0(\xi), u_1(\xi)) , by f(\alpha) < 0 and \omega(\alpha) > 0 , we have \omega'(\alpha) = f(\alpha)/\omega(\alpha) < 0 . Thus, the sign of \frac{d\ell}{d \alpha} is opposite to the sign of \frac{d\ell}{d\omega} . By (3.11), we have

    \begin{equation} \begin{split} \frac{d\ell}{d\omega}& = -\sqrt{d_1} \int_0^\pi \cos t\rho''(-\omega\cos t)dt,\; \frac{d^2\ell}{d\omega^2} = \sqrt{d_1} \int_0^\pi \cos^2 t\rho'''(-\omega\cos t)dt,\\ \frac{d\ell}{d\omega}(0)& = -\rho''(0)\sqrt{d_1} \int_0^\pi \cos t dt = 0, \; \frac{d^2\ell}{d\omega^2}(0) = \rho'''(0)\sqrt{d_1} \int_0^\pi \cos^2 t dt = \frac{\rho'''(0)\sqrt{d_1}\pi}{2}. \end{split} \end{equation} (3.12)

    After elementary calculations, we have

    \begin{equation*} \begin{split} f'(u):& = \frac{2mk\gamma\xi u-mk\xi(1+u)-2u(1+u)^3+k(1+u)^3}{k(1+u)^3};\\ f''(u):& = \frac{2km\xi\big(\gamma+1+(1-2\gamma)u\big)-2(1+u)^4}{k(1+u)^4},\; f'''(u): = \frac{6m\xi\big((2\gamma-1)u-(1+2\gamma))}{(1+u)^5}. \end{split} \end{equation*}

    Since m\xi > 1 and k > 1/(1+\gamma) , we have f''(0) = 2m\xi(\gamma+1)- \frac{2}{k} > 0 . Note that \gamma\leq1/2 holds. Then, f'''(u) < 0 for all u > 0 . Thus, f''(u) is decreasing in (0, \infty) . Since f''(0) > 0 , by f''(\infty) = -2/k and the properties of f'''(u) , f''(u) = 0 has a unique root \mu_* in (0, \infty) , such that f''(u) > 0 in (0, \mu_*) and f''(u) < 0 in (\mu_*, \infty) . We argue that f'(\mu_*) > 0 . Otherwise, since f'(u) attains its maximum value at u = \mu_* , we have f'(u)\leq0 for all u > 0 . Since f'(0) = 1-m\xi < 0 , we have f'(u) < 0 . Since f(0) = 0 , thus f(u) < 0 , which is again impossible. Thus, f'(\mu_*) > 0 . By f'(0) < 0 and f'(\infty) = -\infty , f'(u) = 0 has two roots \mu_{1} and \mu_2 in (0, \infty) with \mu_1 < \mu_* < \mu_2 . In particular, 0 < \mu_1 < u_1(\xi) < \mu_2 < u_2(\xi) .

    Step 3: Since f(u_1(\xi)) = 0 , we have z(u_1(\xi)) = 0 . For u\in(0, \mu_1] , we have f(u) < 0, \; f'(u)\leq0, f''(u) > 0, F(u)-F(u_1(\xi)) > 0 . Then, for u\in(0, \mu_1] , we have z(u) < 0 . For u\in[\mu_2, u_2(\xi)) , we have f(u) > 0, \; f'(u)\leq0, f''(u) < 0, F(u)-F(u_1(\xi)) > 0 . Then, for u\in[\mu_1, u_2(\xi)) , we have z(u) < 0 . Next, we show that for u\in(\mu_1, \mu_2) , z(u) < 0 . A straightforward calculation shows that,

    \begin{equation} \begin{split} z'(u)& = 2f(u)f'''(u)(F(u)-F(u_1(\xi)))+5f''(u)\big(f^2(u)-2f'(u)(F(u)-F(u_1(\xi)))\big),\\ 5f''(u)&z(u)-3f'(u)z'(u) = 2f(u)(F(u)-F(u_1(\xi)))z_1(u), \end{split} \end{equation} (3.13)

    where z_1(u): = 5(f''(u))^2-3f'(u)f'''(u) . For u\in(\mu_1, \mu_2) , we have f'(u) > 0 . By f'''(u) < 0 , we have z_1(u) > 0 . On the other hand, by (3.9) and (3.13), we have \rho'''(0) = z_1(u_1(\xi))/(12\sqrt{f'(u_1(\xi))^7}) > 0 . This implies that for s close to zero, \rho'''(s) > 0 . Hence, by \rho'''(s) = -\rho'(s)z(u)/f^4(u) , for u close to u_1(\xi) , but not equal to u_1(\xi) , we have z(u) < 0 . As in [10], suppose for contradiction that there exists a \widehat{u}\in(u_1(\xi), \mu_2) such that z(\widehat{u}) = 0 and z(u) < 0 for u\in(u_1(\xi), \widehat{u}) , then z'(\widehat{u})\geq0 and f'(\widehat{u}) > 0 and z_1(\widehat{u}) > 0 , which contradicts (3.13). Thus, z(u) < 0 for all u\in(u_1(\xi), u_2(\xi)) . Similarly, we can show that z(u) < 0 for all u\in(0, u_1(\xi)) . Finally, by \rho'''(s) = -\rho'(s)z(u)/f^4(u) and (3.12), for \alpha\in(\kappa_0(\xi), u_1(\xi)) , d\ell/d \alpha < 0 .

    So far, we are in the position to state our results on the existence of positive non-constant solutions of the shadow system:

    Theorem 3.3. Suppose that \dfrac{1}{4} < \gamma\leq\dfrac{1}{2} , f'(\lambda) > \frac{d_1\pi^2}{\ell^2} and k > \dfrac{1}{1+\gamma} hold, where \lambda is the first component of (\lambda, v_ \lambda) . Then, the shadow system (3.2) admits at least one strictly increasing solution, and the same number of strictly decreasing solutions. The corresponding \xi satisfies \xi\in(\xi_-, \xi_+) , for some \xi_-, \xi_+\in(0, p(u_*)) .

    Proof. For \xi\in\big(1/m, p(u_*)\big) , since \rho'(0) = \sqrt{d_1}\pi/f'(u_1(\xi)) , we have \lim_{ \alpha\rightarrow u_1(\xi)}\ell(\alpha) = \rho'(0) = \sqrt{d_1}\pi/\sqrt{f'(u_1(\xi))} = :\ell_0 . Then, for \ell < \ell_0 , d_1\Delta u+f(u) = 0 has no non-constant solutions, while for \ell > \ell_0 it does have. On the other hand, from the argument in the proof of Theorem 5 in [10], it follows that \lim_{ \alpha\rightarrow \kappa_0(\xi)}\ell(\alpha) = +\infty and u is non-degenerate.

    As in the Step 3 of the proof of Lemma 3.2, we have shown that f'(u_1(\xi)) attains its unique maximal value (positive) at u_1(\xi) = \mu_* for some \mu_*\in(\mu_1, \mu_2) . Define \ell_* = \sqrt{d_1}\pi/\sqrt{f'(\mu_*)} . Then, f'(\mu_*) = d_1\pi^2/\ell_*^2 and for any \ell > \ell_* , there have two numbers u_{\ell_-} < u_{\ell_+} , such that \delta_*\in(u_{\ell_-}, u_{\ell_+})\subset\big(0, u_*\big) and f'(u_{\ell_-}) = f'(u_{\ell_+}) = d_1\pi^2/\ell^2 . Let \xi_-: = p(u_{\ell_-}) and \xi_+: = p(u_{\ell_+}) . Then, for \xi\in(\xi_-, \xi_+) , we have f'(u_1(\xi)) > d_1\pi^2/\ell^2 ; Thus, there must be a unique, increasing and non-degenerate solution u = u_\ell(x) to d_1\Delta u+f(u) = 0 subject to Neumann boundary conditions. Recall that under our assumptions, u_1(\xi) = \lambda if and only if \xi = v_ \lambda . Then, if f'(\lambda) > d_1\pi^2/\ell^2 , we have f'(\mu_*)\geq f'(\lambda) > d_1\pi^2/\ell^2 , which implies that \ell > \ell_* and \xi\in(\xi_-, \xi_+) . In particular, \lambda\in(u_{\ell_-}, u_{\ell_+}) . As \ell\rightarrow \ell_* , the set (\xi_-, \xi_+) shrinks to an empty set, and as \ell\rightarrow \infty , (\xi_-, \xi_+) expands to (1/m, p(u_*)) . For fixed \ell > \ell_* and a given \xi\in(\xi_-, \xi_+) , we write

    \begin{equation} \alpha_\ell(\xi) = u_\ell(0),\;\mathcal M(\xi): = \dfrac{1}{\ell} \int_0^\ell \frac{mu}{1+u}(1- \frac{\gamma u}{1+u})dx. \end{equation} (3.14)

    It follows from the non-degeneracy of u_\ell that both \alpha_\ell(\xi) and \mathcal M(\xi) are continuous functions of \xi . If \xi\in(\xi_-, \xi_+) is close to \xi_- , then u_1(\xi) is close to u_{\ell_-} . Since \ell = \sqrt{d_1}\pi/\sqrt{f'(u_{\ell_-})} , we know that \alpha_\ell is close to u_1(\xi) and then close to u_{\ell_-} too. Furthermore, the solution u_\ell(x) is nearly a constant. Then, by u_{\ell_-} < \lambda , \mathcal M(\xi) is close to u_{\ell_-} and then we have \mathcal M(\xi) < \mathcal M(\lambda) = \theta/m , where the integrant function in \mathcal M(\xi) is increasing with respect to u when \gamma\leq1/2 . Similarly, for those \xi close to u_{\ell_+} , by u_{\ell_+} > \lambda , we have \mathcal M(\xi) > \mathcal M(\lambda) = \theta/m . Then, by the continuity of \mathcal M(\xi) , there must have some \xi\in(\xi_-, \xi_+) such that \mathcal M(\xi) = \theta/m .

    In this paper, we are mainly concerned with the existence of the spatial patterns of the diffusive system with plant-herbivore interactions with toxin-determined functional responses. By using the standard steady state bifurcation theorem, we are able to show that, for any fixed d_1 > 0 , if the diffusion rate d_2 is larger than certain critical value, then the original non-degenerate system (both d_1 and d_2 are positive and finite) will have non-constant positive steady state solutions. Then, we continue to consider the limiting case when d_2 tends to infinity. The corresponding limiting system is called the shadow system of the original system. By using the time-mapping methods, we have showed that the shadow system has non-constant positive steady state solutions under certain conditions. In the future, we shall concentrate ourselves on the dynamics of the predator-prey system with discontinuous reaction terms, which tends to be much more interesting than the current counterpart (see for example, [14,15]).

    The author would like to thank the reviewers for their kind suggestions and comments which significantly help improve the quality of the paper.

    The authors declare there is no conflicts of interest.



    [1] O. Ladyzhenskaja, New equation for the description of incompressible fluids and solvability in the large boundary value of them, P. Steklov I. Math., 102 (19677), 95-118.
    [2] L. Martinson, K. Pavlov, Magnetohydrodynamics of non-Newtonian fluids, Magnetohydrodynamics, 11 (1975), 47-53.
    [3] C. Jin, J. Yin, Traveling wavefronts for a time delayed non-Newtonian filtration equation, Physica D, 241 (2012), 1789-1803. doi: 10.1016/j.physd.2012.08.007
    [4] Z. Fang, X. Xu, Extinction behavior of solutions for the p-Laplacian equations with nonlocal source, Nonlinear Anal. Real, 13 (2012), 1780-1789. doi: 10.1016/j.nonrwa.2011.12.008
    [5] T. Zhou, B. Du, H. Du, Positive periodic solution for indefinite singular Lienard equation with p-Laplacian, Adv. Differ. Equ., 158 (2019), 1-12.
    [6] S. Ji, J. Yin, R. Huang, Evolutionary p-Laplacian with convection and reaction under dynamic boundary condition, Bound. Value Probl., 194 (2015), 1-12.
    [7] F. Sanchez-Garduno, P. Maini, Existence and uniqueness of a sharp front travelling wave in degenerate nonlinear diffusion Fisher-KPP equations, J. Math. Biol., 33 (1994), 163-192. doi: 10.1007/BF00160178
    [8] Z. Liang, J. Chu, S. Lu, Solitary wave and periodic wave solutions for a non-Newtonian filtration equation, Math. Phys. Anal. Geom., 17 (2014), 213-222. doi: 10.1007/s11040-014-9150-9
    [9] F. Kong, Z. Luo, Solitary wave and periodic wave solutions for the non-Newtonian filtration equations with non- linear sources and a time-varying delay, Acta Math. Sci., 37 (2017), 1803-1816. doi: 10.1016/S0252-9602(17)30108-X
    [10] Z. Liang, F. Kong, Positive periodic wave solutions of singular non-Newtonian filtration equations, Anal. Math. Phys., 7 (2017), 509-524. doi: 10.1007/s13324-016-0153-5
    [11] H. Yin, B. Du, Stochastic patch structure Nicholson's blowfies system with mixed delays, Adv. Differ. Equ., 386 (2020), 1-11.
    [12] H. Yin, B. Du, Q. Yang, F. Duan, Existence of homoclinic orbits for a singular differential equation involving p-Laplacian, J. Funct. Space., 2020 (2020), 1-7.
    [13] S. Lu, Periodic solutions to a second order p-Laplacian neutral functional differential system, Nonlinear Anal., 69 (2008), 4215-4229. doi: 10.1016/j.na.2007.10.049
    [14] W. Ge, J. Ren, An extension of Mawhin's continuation theorem and its application to boundary value problems with a p-Laplacain, Nonlinear Anal., 58 (2004), 477-488. doi: 10.1016/j.na.2004.01.007
    [15] R. Hakl, M. Zamora, Periodic solutions to second-order indefinite singular equations, J. Differ. Equations, 263 (2017), 451-469. doi: 10.1016/j.jde.2017.02.044
    [16] A. Fonda, A. Sfeccib, On a singular periodic Ambrosetti-Prodi problem, Nonlinear Anal., 19 (2017), 146-155.
    [17] S. Kumar, D. Kumar, Solitary wave solutions of (3+1)-dimensional extended Zakharov-Kuznetsov equation by Lie symmetry approach, Comput. Math. Appl., 77 (2019), 2096-2113. doi: 10.1016/j.camwa.2018.12.009
    [18] D. Kumar, S. Kumar, Some new periodic solitary wave solutions of (3+1)-dimensional generalized shallow water wave equation by Lie symmetry approach, Comput. Math. Appl., 78 (2019), 857-877. doi: 10.1016/j.camwa.2019.03.007
    [19] S. Kumar, D. Kumar, Lie symmetry analysis and dynamical structures of soliton solutions for the (2+1)-dimensional modified CBS equation, Int. J. Mod. Phys. B, 34 (2020), 2050221. doi: 10.1142/S0217979220502215
    [20] S. Kumar, D. Kumar, Lie symmetry reductions and group Invariant Solutions of (2+1)-dimensional modified Veronese web equation, Nonlinear Dynam., 98 (2019), 1891-1903. doi: 10.1007/s11071-019-05294-x
    [21] D. Kumar, S. Kumar, Solitary wave solutions of pZK equation using Lie point symmetries, Eur. Phys. J. Plus, 135 (2020), 162. doi: 10.1140/epjp/s13360-020-00218-w
    [22] S. Kumar, M. Niwas, Lie symmetry analysis, exact analytical solutions and dynamics of solitons for (2+1)-dimensional NNV equations, Phys. Scripta, 95 (2020), 095204.
    [23] S. Rani, Lie symmetry reductions and dynamics of soliton solutions of (2+1)-dimensional Pavlov equation, Pramana, 19 (2020), 116.
    [24] S. Kumar, A. Kumar, H. Kharbanda, Lie symmetry analysis and generalized invariant solutions of (2+1)-dimensional dispersive long wave (DLW) equations, Phys. Scripta, 95 (2020), 065207. doi: 10.1088/1402-4896/ab7f48
    [25] S. Lu, X. Yu, Periodic solutions for second order differential equations with indefinite singularities, Adv. Nonlinear Anal., 9 (2020), 994-1007.
    [26] S. Lu, R. Xue, Periodic solutions for a Liénard equation with indefinite weights, Topol. Method. Nonlinear Anal., 54 (2019), 203-218.
    [27] S. Lu, Y. Guo, L. Chen, Periodic solutions for Liénard equation with an indefinite singularity, Nonlinear Anal. Real, 45 (2019), 542-556. doi: 10.1016/j.nonrwa.2018.07.024
    [28] B. Du, S. Lu, On the existence of periodic solutions to a p-Laplacian equation, Indian J. Pure Appl. Math., 40 (2009), 253-266.
    [29] Y. Xin, Z. Chen, Positive periodic solution for prescribed mean curvature generalized Lienard equation with a singularity, Bound. Value Probl., 89 (2020), 1-15.
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3481) PDF downloads(107) Cited by(1)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog