Research article

Hopf bifurcation in a delayed reaction diffusion predator-prey model with weak Allee effect on prey and fear effect on predator

  • Received: 17 March 2023 Revised: 15 May 2023 Accepted: 17 May 2023 Published: 24 May 2023
  • MSC : 34K18, 35B32, 34K18, 34D23, 34H05, 35B32, 92D25

  • In this work, a Leslie-Gower model with a weak Allee effect on the prey and a fear effect on the predator is proposed. By using qualitative analyses, the local stability of the coexisting equilibrium and the existence of Turing instable are discussed. By analyzing the distribution of eigenvalues, the existence of a Hopf bifurcation is studied by using the gestation time delay as a bifurcation parameter. By utilizing the normal form method and the center manifold theorem, we calculate the direction of the Hopf bifurcation and the stability of bifurcating periodic solutions. We indicate that both the weak Allee effect on the prey and fear effect on the predator have an important impact on the dynamical behaviour of the new Leslie-Gower model. We also verify the obtained results by some numerical examples.

    Citation: Fatao Wang, Ruizhi Yang, Yining Xie, Jing Zhao. Hopf bifurcation in a delayed reaction diffusion predator-prey model with weak Allee effect on prey and fear effect on predator[J]. AIMS Mathematics, 2023, 8(8): 17719-17743. doi: 10.3934/math.2023905

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  • In this work, a Leslie-Gower model with a weak Allee effect on the prey and a fear effect on the predator is proposed. By using qualitative analyses, the local stability of the coexisting equilibrium and the existence of Turing instable are discussed. By analyzing the distribution of eigenvalues, the existence of a Hopf bifurcation is studied by using the gestation time delay as a bifurcation parameter. By utilizing the normal form method and the center manifold theorem, we calculate the direction of the Hopf bifurcation and the stability of bifurcating periodic solutions. We indicate that both the weak Allee effect on the prey and fear effect on the predator have an important impact on the dynamical behaviour of the new Leslie-Gower model. We also verify the obtained results by some numerical examples.



    The main objective of the paper is to investigate the qualitative behavior of a differential equation

    (b(ϑ)((x(ϑ)+g(ϑ)x(τ(ϑ))))α)+ηi=1ϕi(ϑ)xβ(δi(ϑ))=0, (1.1)

    where ϑϑ0>0 and η is a positive integer.

    Let us define the corresponding function υ for the solution x as follows:

    υ(ϑ)=x(ϑ)+g(ϑ)x(τ(ϑ)). (1.2)

    Furthermore, we make the following supposition:

    (M1) α and β are quotients of odd positive integers;

    (M2) bC([ϑ0,),(0,)), b(ϑ)0 and

    ϑϑ01b1/α(ζ)dζ as ϑ; (1.3)

    (M3) τ,δiC([ϑ0,),R), δi(ϑ)ϑ, τ(ϑ)ϑ, τ(ϑ)>0, and limϑτ(ϑ)=limϑδi(ϑ)=, i=1,2,...η;

    (M4) ϕi,gC([ϑ0,),R), g(ϑ)>0, ϕi0 and ϕi is not identically zero for large ϑ, i=1,2,...η;

    (M5) there exists a constant ε(0,1) such that

    limϑ(ϑτ(ϑ))3/ε1g(ϑ)=0. (1.4)

    By a solution of (1.1), we mean a nontrivial function xC([ϑx,),R), ϑxϑ0, which has the properties υ(ϑ)C3([ϑx,),R), b(ϑ)(υ(ϑ))αC1([ϑx,),R) and x satisfies (1.1) on [ϑx,). We focus in our study on the solutions that satisfy sup{|x(ϑ)|:ϑϑa}>0, for every ϑaϑx, and we assume that (1.1) possesses such solutions. Such a solution of (1.1) is called oscillatory if it is neither eventually positive nor eventually negative; otherwise, it is called nonoscillatory. An equation is called oscillatory if all of its solutions are oscillatory.

    We frequently see repetitive movements used to illustrate different mechanical actions that occur in nature. In other words, oscillations abound in our universe. Examples of oscillatory motions include a ship moving up and down on the waves and a pendulum swing. Finding new necessary conditions for the oscillation or nonoscillation of the solutions of neutral functional differential equations, which is a component of so-called dynamical systems, has become increasingly important in recent years. As far as physicists and engineers are concerned, understanding and managing oscillations in various systems is their primary objective. Oscillation is a phenomenon that is observed in a variety of fields, including biology and economics, in addition to physics and mechanics.

    One of the important differential equation branching problems is the oscillatory behavior of ordinary differential equations. The oscillatory problems to the wings of the plane can be modeled by the oscillatory problems of ordinary differential equations. Delay differential equations with deviating arguments introduce an additional layer of complexity by incorporating time delays into the modeling process. Unlike ordinary differential equations, these equations account for the influence of both current and past values of variables. In fact, differential equations with deviating arguments are widely used in physics, engineering, biology, economics, and more, making them an indispensable tool for understanding and predicting the behavior of complex phenomena, see [8,9,13,15,21,23,26,27]).

    Bills and Schoenberg [12] examined certain oscillatory outcomes for a self-adjoint system of second-order equations. The oscillatory behavior of solutions to various classes of differential equations with a linear neutral term has been extensively studied in recent decades. However, there are few results about the oscillation of differential equations with nonlinear neutral terms; see, for example, Agarwal et al. and Grace and Graef [3,14,16].

    Many researchers have studied the oscillatory properties of even-order differential equations on a larger scale than their odd-order counterparts. Different techniques and methods have been used to study the oscillation of different types of even-order differential equations. Illustrative and additional information can be found in references [4,11,17,18,19,20,25]. Specifically, we provide some detail.

    Bazighifan and Ahmad [10] investigated the qualitative behavior of an even-order advanced differential equation

    (b(ϑ)(x(n1)(ϑ))α)+ηi=1ϕi(ϑ)f(x(δi(ϑ)))=0, (1.5)

    where ϕi(ϑ)0, δi(ϑ)ϑ, and f(x)/xβk>0 for x0. They established sufficient conditions for oscillation of (1.5) by utilizing the theory of comparison with first-order and second-order delay equations, as well as the Riccati substitution technique.

    The oscillatory behavior of the differential equations

    (b(ϑ)((x(ϑ)+g(ϑ)x(τ(ϑ))))α)+ηi=1ϕi(ϑ)xβ(δi(ϑ))=0 (1.6)

    was taken into consideration by Abdelnaser et al. [1]. By introducing a new set of criteria, the researchers were able to prove that all solutions to Eq (1.6) oscillate.

    Muhib et al. [22] considered a class of neutral differential equations

    (b(ϑ)((x(ϑ)+ρ(ϑ)x(σ1(ϑ))+g(ϑ)xγ(τ(ϑ)))(n1))α)+f(ϑ,x(δ(ϑ)))=0. (1.7)

    They used Riccati transformations to present new conditions for the oscillation of (1.7), where ρ(ϑ)0, g(ϑ)0, γ and are ratios of odd positive integers with γ1, 0<<1, and fC([ϑ0,)×R,R) and there exists ϕC([ϑ0,),(0,)) such that |f(ϑ,x)|ϕ(ϑ)|x|β. Below, we present one of the results in [22].

    Theorem 1.1. Assume that

    limϑg(ϑ)(ϑn2ϑϑ01b1/α(ζ)dζ)γ1=limϑρ(ϑ)=0 (1.8)

    holds. If

    liminfϑ1φ(ϑ)ϑαλNδn2(ζ)δ(ζ)b1/α(ζ)φ(α+1)/α(ζ)dζ>α(α+1)(α+1)/α,

    for all λ(0,1) and N>0, then (1.7) is oscillatory, where

    φ(ϑ)=ϵβϑϕ(u)Ω(u)du

    and

    Ω(ϑ)={kβα1if βα,kβα2(ϑn2)βα(ϑϑ11b1/(ζ)dζ)βαif β<α,

    for some ϵ(0,1) and k1,k2>0.

    Agarwal et al. [2] studied the oscillation of a neutral differential equation

    (x(ϑ)+g(ϑ)x(τ(ϑ)))(n)+ϕ(ϑ)x(δ(ϑ))=0, (1.9)

    where n is even and g(ϑ)0. They established some sufficient conditions for oscillation of (1.9) using the Riccati transformation technique. Below, we present one of the results in [2].

    Theorem 1.2. Let n4 be even (M3), (M4), and

    δ(ϑ)τ(ϑ),   1Υn1(ϑ)g(τ1(τ1(ϑ)))0

    hold. If the equation

    ((n2)!λ0ϑn2x(ϑ))+ϕ(ϑ)g(δ(ϑ))(τ1(δ(ϑ)))n1ϑn1x(ϑ)=0

    is oscillatory for some constant λ0(0,1), and the equation

    x(ϑ)+ϑ(sϑ)n3ϕ(s)g(δ(s))τ1(δ(s))sds(n3)!x(ϑ)=0

    is oscillatory, then (1.9) is oscillatory, where

    g(ϑ)=1g(τ1(ϑ))(1Υ(ϑ)g(τ1(τ1(ϑ)))),
    g(ϑ)=1g(τ1(ϑ))(1Υn1(ϑ)g(τ1(τ1(ϑ))))

    and

    Υ(ϑ)=τ1(τ1(ϑ))τ1(ϑ).

    The objective of this paper is to provide new results of oscillation (1.1) in canonical form, which would improve and extend some previous literature. In addition, an example is given that shows the applicability of the results we obtained.

    The following notation will be used in the remaining sections of this work:

    δ(ϑ)=min{δi(ϑ): i=1,2,...,η}.

    For the proof of our main results, we need to give the following lemmas:

    Lemma 2.1. [5] Let fCn([ϑ0,),(0,)), the derivative f(n)(ϑ) is of fixed sign and not identically zero on a subray of [ϑ0,), and there exists a ϑxϑ0 such that f(n1)(ϑ)f(n)(ϑ)0 for all ϑϑ1. If limϑf(ϑ)0, then for every λ(0,1) there exists a ϑλϑ1  such that

    |f(ϑ)|λ(n1)!ϑn1|f(n1)(ϑ)|, (2.1)

    for all ϑϑλ.

    Lemma 2.2. [7, Lemma 1] Let the function f satisfy f(n)(ϑ)>0, n=1,2,...,κ, and f(κ+1)(ϑ)0 eventually. Then, for every ε(0,1),

    f(ϑ)f(ϑ)εϑκ, (2.2)

    eventually.

    Lemma 2.3. [6] Let x be a positive solution of (1.1), and (1.3) holds. Then, (b(ϑ)(υ(ϑ))α)<0, we also find that there exist two potential cases eventually, which are as follows:

    Case (1): υ(ϑ)>0,υ(ϑ)>0,υ(ϑ)>0,υ(ϑ)>0,υ(4)(ϑ)0,Case (2): υ(ϑ)>0,υ(ϑ)>0,υ(ϑ)<0, υ(ϑ)>0,υ(4)(ϑ)0.

    Lemma 2.4. [24] If y is a positive and strictly decreasing solution of the integral inequality

    y(ϑ)ϑ(νϑ)n1(n1)!f(ν,y(g1(ν)),y(g2(ν)),...,y(gm(ν)))dν,

    then there exists a positive solution x(ϑ) of the differential equation

    (1)nx(n)(ϑ)=f(ϑ,x(g1(ϑ)),x(g2(ϑ)),...,x(gm(ϑ))),,ϑϑ0

    being such that x(ϑ)y(ϑ) for all large ϑ and satisfying limϑx(i)(ϑ)=0 monotonically (i=1,2,...,n1), where f is a continuous function defined on [ϑ0,)×[0,)m and gj(ϑ) are continuous functions on the interval [ϑ0,) such that

    limϑgj(ϑ)=(j=1,2,...,m).

    The function f=f(ϑ,u1,u2,...,um) is assumed to be increasing in each of u1,u2,...,um. Moreover, it is supposed that f is positive on [ϑ0,)×[0,)m and that the delays ϑgj(ϑ) are positive for ϑϑ0, i.e., gj(ϑ)<ϑ for every ϑϑ0 and (j=1,2,...,m).

    We now present the main results of this paper.

    Theorem 3.1. Assume that β1 and that there exists a positive function μC1([ϑ0,),R) such that

    μ(ϑ)<τ(ϑ), μ(ϑ)δi(ϑ), μ(ϑ)>0 and limϑμ(ϑ)=. (3.1)

    If

    (b(ϑ)(υ(ϑ))α)+ϵβ1cβ1(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0 (3.2)

    and

    (b(ϑ)(υ(ϑ))α)+ϵβ2cβ1(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0 (3.3)

    have no positive solutions, then every solution of (1.1) is oscillatory, where q(ϑ)=τ1(μ(ϑ)), c>0 and ϵ1,ϵ2(0,1).

    Proof. Assume that Eq (1.1) has a nonoscillatory solution x(ϑ), say x(ϑ)>0, x(δ(ϑ))>0, and x(τ(ϑ))>0 for ϑϑ1ϑ0. From (1.2), we find

    x(ϑ)=υ(τ1(ϑ))x(τ1(ϑ))g(τ1(ϑ))

    and so

    x(ϑ)υ(τ1(ϑ))g(τ1(ϑ))υ(τ1(τ1(ϑ)))g(τ1(ϑ))g(τ1(τ1(ϑ))). (3.4)

    We first consider what Case (1) holds. Since κ=3, in view of (2.2), for every ε(0,1), we get

    υ(ϑ)υ(ϑ)εϑκεϑ3, (3.5)

    now,

    (υ(ϑ)ϑ3/ε)=εϑ3/ευ(ϑ)3υ(ϑ)ϑ(3/ε)1εϑ2(3/ε)=εϑυ(ϑ)3υ(ϑ)εϑ(3/ε)+1, (3.6)

    using (3.5), we find

    (υ(ϑ)ϑ3/ε)=εϑυ(ϑ)3υ(ϑ)εϑ(3/ε)+10. (3.7)

    Since τ(ϑ)ϑ and τ(ϑ)>0, (τ1(ϑ))>0 and furthermore ϑτ1(ϑ). Thus,

    τ1(ϑ)τ1(τ1(ϑ)). (3.8)

    By using (3.7) and (3.8), it follows that

    υ(τ1(ϑ))(τ1(ϑ))3/ευ(τ1(τ1(ϑ)))(τ1(τ1(ϑ)))3/ε

    and so

    (τ1(τ1(ϑ)))3/ευ(τ1(ϑ))(τ1(ϑ))3/ευ(τ1(τ1(ϑ))). (3.9)

    From (3.4) and (3.9), we find

    x(ϑ)υ(τ1(ϑ))g(τ1(ϑ))(τ1(τ1(ϑ))τ1(ϑ))3/ευ(τ1(ϑ))g(τ1(ϑ))g(τ1(τ1(ϑ)))υ(τ1(ϑ))g(τ1(ϑ))(1(τ1(τ1(ϑ))τ1(ϑ))3/ε1g(τ1(τ1(ϑ)))). (3.10)

    From (M5), there exists a ϵ1(0,1) such that

    (τ1(τ1(ϑ))τ1(ϑ))3/ε1g(τ1(τ1(ϑ)))1ϵ1.

    Using the above inequality in (3.10) gives

    x(ϑ)υ(τ1(ϑ))g(τ1(ϑ))ϵ1. (3.11)

    From (1.1) and (3.11), we have

    (b(ϑ)(υ(ϑ))α)+ηi=1ϕi(ϑ)υβ(τ1(δi(ϑ)))gβ(τ1(δi(ϑ)))ϵβ10

    and so

    (b(ϑ)(υ(ϑ))α)+ϵβ1υβ(τ1(δ(ϑ)))ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ)))0. (3.12)

    In view of the fact that μ(ϑ)δ(ϑ) and υ(ϑ)>0, inequality (3.12) becomes

    (b(ϑ)(υ(ϑ))α)+ϵβ1υβ(τ1(μ(ϑ)))ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ)))0. (3.13)

    Since υ(ϑ)>0 and υ(ϑ)>0, there exists a constant c>0 such that

    υ(ϑ)c. (3.14)

    From (3.13), (3.14), and β1, we find the following differential inequality:

    (b(ϑ)(υ(ϑ))α)+ϵβ1cβ1(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0, (3.15)

    has a positive solution υ. This implies that (3.2) also has a positive solution, which contradicts our assumption.

    Now, we consider what Case (2) holds. Since κ=1, in view of (2.2), for every ε(0,1), we get

    υ(ϑ)υ(ϑ)εϑ1, (3.16)

    from which we see that

    (υ(ϑ)ϑ1/ε)=εϑ1/ευ(ϑ)υ(ϑ)ϑ(1/ε)1εϑ2/ε=εϑυ(ϑ)υ(ϑ)εϑ1+(1/ε)0. (3.17)

    By (3.8) and (3.17),

    (τ1(ϑ))1/ευ(τ1(τ1(ϑ)))(τ1(τ1(ϑ)))1/ευ(τ1(ϑ)). (3.18)

    Combining (3.4) and (3.18), we obtain

    x(ϑ)υ(τ1(ϑ))g(τ1(ϑ))(1(τ1(τ1(ϑ))τ1(ϑ))1/ε1g(τ1(τ1(ϑ)))). (3.19)

    From (M5), there exists a ϵ2(0,1) such that

    (τ1(τ1(ϑ))τ1(ϑ))1/ε1g(τ1(τ1(ϑ)))1ϵ2,

    and using this in (3.19) implies

    x(ϑ)ϵ2υ(τ1(ϑ))g(τ1(ϑ)). (3.20)

    Using (3.20) in (1.1) yields

    (b(ϑ)(υ(ϑ))α)+ηi=1ϕi(ϑ)ϵβ2υβ(τ1(δi(ϑ)))gβ(τ1(δi(ϑ)))0

    and so

    (b(ϑ)(υ(ϑ))α)+ϵβ2υβ(τ1(δ(ϑ)))ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ)))0. (3.21)

    Since μ(ϑ)δ(ϑ) and υ(ϑ)>0, then (3.21) becomes

    (b(ϑ)(υ(ϑ))α)+ϵβ2υβ(τ1(μ(ϑ)))ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ)))0. (3.22)

    In view of (3.14) and β1, we find the following differential inequality:

    (b(ϑ)(υ(ϑ))α)+ϵβ2cβ1(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0, (3.23)

    has a positive solution υ. This implies that (3.3) also has a positive solution, which contradicts our assumption. The proof is now complete.

    Theorem 3.2. Assume that β<1 and there exists a positive function μC1([ϑ0,),R) such that (3.1) holds. If

    (b(ϑ)(υ(ϑ))α)+ϵβ1dβ11(q3/ε(ϑ))β1(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0 (3.24)

    and

    (b(ϑ)(υ(ϑ))α)+ϵβ2dβ12(q1/ε(ϑ))β1(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0, (3.25)

    have no positive solutions, then every solution of (1.1) is oscillatory, where q(ϑ)=τ1(μ(ϑ)), d1,d2>0 and ϵ1,ϵ2(0,1).

    Proof. Assume that Eq (1.1) has a nonoscillatory solution x(ϑ), say x(ϑ)>0, x(δ(ϑ))>0, and x(τ(ϑ))>0 for ϑϑ1ϑ0.

    We first consider what Case (1) holds. By performing the same steps as in the proof of Theorem 3.1, we arrive at (3.7) and (3.13). By (3.7), there exists a constant d1>0 such that

    υ(ϑ)ϑ3/εd1

    and so

    υ(ϑ)d1ϑ3/ε. (3.26)

    Using (3.26) in (3.13) and applying the fact that β<1 yields

    (b(ϑ)(υ(ϑ))α)+ϵβ1dβ11(q3/ε(ϑ))β1(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0. (3.27)

    That is, (3.24) has a positive solution, a contradiction.

    Now, we consider what Case (2) holds. By performing the same steps as in the proof of Theorem 3.1, we arrive at (3.17) and (3.22). By (3.17), there exists a constant d2>0 such that

    υ(ϑ)ϑ1/εd2

    and so

    υ(ϑ)d2ϑ1/ε. (3.28)

    Using (3.28) in (3.22) and applying the fact that β<1 yields

    (b(ϑ)(υ(ϑ))α)+ϵβ2dβ12(q1/ε(ϑ))β1(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0. (3.29)

    That is, (3.25) has a positive solution, a contradiction. The proof is now complete.

    Theorem 3.3. Assume that β1 and there exists a positive function μC1([ϑ0,),R) such that (3.1) holds. If

    y(ϑ)+λ3!ϵβ1cβ1q3(ϑ)b1/α(q(ϑ))(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))y1/α(q(ϑ))=0 (3.30)

    and

    ω(ϑ)+ϵβ/α2c(β1)/αε1/αq1/α(ϑ)(ϑ(u(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ)1/αb1/α(u)du)ω1/α(q(ϑ))=0 (3.31)

    are oscillatory, for some constants λ,ε(0,1), then every solution of (1.1) is oscillatory, where q(ϑ)=τ1(μ(ϑ)), c>0 and ϵ1,ϵ2(0,1).

    Proof. Assume that Eq (1.1) has a nonoscillatory solution x(ϑ), say x(ϑ)>0, x(δ(ϑ))>0, and x(τ(ϑ))>0 for ϑϑ1ϑ0.

    We first consider what Case (1) holds. By performing the same steps as in the proof of Theorem 3.1, we arrive at (3.15). Since υ(ϑ)>0 and υ(ϑ)>0, we have limϑ υ(ϑ)0. Thus, by Lemma 2.1, we obtain

    υ(ϑ)λ3!ϑ3υ(ϑ), (3.32)

    from which we see that

    υ(q(ϑ))λ3!q3(ϑ)υ(q(ϑ)). (3.33)

    Using (3.33) in (3.15) yields

    (b(ϑ)(υ(ϑ))α)+λ3!ϵβ1cβ1q3(ϑ)(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0,

    With y(ϑ)=b(ϑ)(υ(ϑ))α, we find y(ϑ) is a positive solution of the differential inequality

    y(ϑ)+λ3!ϵβ1cβ1q3(ϑ)b1/α(q(ϑ))(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))y1/α(q(ϑ))0. (3.34)

    It follows from Lemma 2.4 that the differential equation (3.30) also has a positive solution for all λ(0,1), but this contradicts our assumption on (3.30).

    Now, we consider what Case (2) holds. By performing the same steps as in the proof of Theorem 3.1, we arrive at (3.16) and (3.23). Integrating (3.23) from ϑ to gives

    (υ(ϑ))αϵβ2cβ1υ(q(ϑ))b(ϑ)ϑ(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ

    and so

    υ(ϑ)ϵβ/α2c(β1)/αυ1/α(q(ϑ))b1/α(ϑ)(ϑ(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ)1/α. (3.35)

    Integrating (3.35) from ϑ to , we have

    υ(ϑ)ϵβ/α2c(β1)/α(ϑ(u(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ)1/αb1/α(u)du)υ1/α(q(ϑ))

    and so

    υ(ϑ)+ϵβ/α2c(β1)/α(ϑ(u(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ)1/αb1/α(u)du)υ1/α(q(ϑ))0. (3.36)

    Using (3.16) in (3.36) yields

    υ(ϑ)+ϵβ/α2c(β1)/αε1/αq1/α(ϑ)(ϑ(u(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ)1/αb1/α(u)du)(υ(q(ϑ)))1/α0. (3.37)

    With ω(ϑ)=υ(ϑ), we see that ω(ϑ) is a positive solution of the differential inequality

    ω(ϑ)+ϵβ/α2c(β1)/αε1/αq1/α(ϑ)(ϑ(u(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ)1/αb1/α(u)du)ω1/α(q(ϑ))0, (3.38)

    for every ε(0,1). We finalize the proof using the same method as outlined in Case (1). The proof is now complete.

    Corollary 3.1. Let α=1 and β1 hold. Assume further that there exists a positive function μC1([ϑ0,),R) such that (3.1) holds. If

    limϑϑq(ϑ)q3(ζ)b(q(ζ))(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ= (3.39)

    and

    limϑϑq(ϑ)q(ζ)(ζ(u(ηi=1ϕi(ϱ)gβ(τ1(δi(ϱ))))dϱ)b(u)du)dζ=, (3.40)

    then every solution of (1.1) is oscillatory, where q(ϑ)=τ1(μ(ϑ)).

    Proof. We first consider what Case (1) holds. By performing the same steps as in the proof of Theorem 3.3, we arrive at (3.34). Integrating (3.34) from q(ϑ) to ϑ and then using α=1 and the fact that y is a decreasing function, we see that

    ϑq(ϑ)y(ζ)dζλ3!ϵβ1cβ1y(q(ζ))ϑq(ϑ)q3(ζ)b(q(ζ))(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ

    and so

    y(q(ϑ))λ3!ϵβ1cβ1y(q(ϑ))ϑq(ϑ)q3(ζ)b(q(ζ))(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ,

    this can be expressed as follows:

    3!λϵβ1cβ1ϑq(ϑ)q3(ζ)b(q(ζ))(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ,

    so this contradicts (3.39).

    Now, we consider what Case (2) holds. By performing the same steps as in the proof of Theorem 3.3, we arrive at (3.38). Integrating (3.38) from q(ϑ) to ϑ and then using α=1 and the fact that ω is a decreasing function, we see that

    ϑq(ϑ)ω(ζ)dζεϵβ2c(β1)ω(q(ϑ))ϑq(ϑ)q(ζ)(ζ(u(ηi=1ϕi(ϱ)gβ(τ1(δi(ϱ))))dϱ)b(u)du)dζ

    and so

    ω(q(ϑ))εϵβ2c(β1)ω(q(ϑ))ϑq(ϑ)q(ζ)(ζ(u(ηi=1ϕi(ϱ)gβ(τ1(δi(ϱ))))dϱ)b(u)du)dζ,

    this can be expressed as follows:

    1εϵβ2c(β1)ϑq(ϑ)q(ζ)(ζ(u(ηi=1ϕi(ϱ)gβ(τ1(δi(ϱ))))dϱ)b(u)du)dζ,

    which contradicts (3.40). The proof is now complete.

    Theorem 3.4. Assume that β<1 and there exists a positive function μC1([ϑ0,),R) such that (3.1) holds. If

    y(ϑ)+ϵβ1dβ11λ3!q(3(β1)/ε)+3(ϑ)b1/α(q(ϑ))(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))y1/α(q(ϑ))=0 (3.41)

    and

    ω(ϑ)+ϵβ/α2d(β1)/α2ε1/αq1/α(ϑ)(ϑ(ζ(q1/ε(u))β1(ηi=1ϕi(u)gβ(τ1(δi(u))))dub(ζ))1/αdζ)ω1/α(q(ϑ))=0 (3.42)

    are oscillatory for some constants λ,ε(0,1), then every solution of (1.1) is oscillatory, where q(ϑ)=τ1(μ(ϑ)), d1,d2>0 and ϵ1,ϵ2(0,1).

    Proof. Assume that Eq (1.1) has a nonoscillatory solution x(ϑ), say x(ϑ)>0, x(δ(ϑ))>0, and x(τ(ϑ))>0 for ϑϑ1ϑ0.

    We first consider what Case (1) holds. By performing the same steps as in the proof of Theorem 3.2, we arrive at (3.27). Since υ(ϑ)>0 and υ(ϑ)>0, we have limϑυ(ϑ)0 and so by Lemma 2.1, we find (3.32) holds. Using (3.32) in (3.27) gives

    (b(ϑ)(υ(ϑ))α)+ϵβ1dβ11λ3!q(3(β1)/ε)+3(ϑ)(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))υ(q(ϑ))0.

    With y(ϑ)=b(ϑ)(υ(ϑ))α, we see that y(ϑ) is a positive solution of the differential inequality

    y(ϑ)+ϵβ1dβ11λ3!q(3(β1)/ε)+3(ϑ)b1/α(q(ϑ))(ηi=1ϕi(ϑ)gβ(τ1(δi(ϑ))))y1/α(q(ϑ))0. (3.43)

    It follows from Lemma 2.4 that the differential equation (3.41) also has a positive solution for all λ1(0,1), but this contradicts our assumption on (3.41).

    Now, we consider what Case (2) holds. Then again (3.16) holds for every ε(0,1). By performing the same steps as in the proof of Theorem 3.2, we arrive at (3.29). Integrating (3.29) from ϑ to , we obtain

    b(ϑ)(υ(ϑ))α+ϵβ2dβ12υ(q(ϑ))ϑ(q1/ε(ζ))β1(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ0

    and so

    υ(ϑ)ϵβ/α2d(β1)/α2(1b(ϑ)ϑ(q1/ε(ζ))β1(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ)1/αυ1/α(q(ϑ)). (3.44)

    Integrating (3.44) from ϑ to , we obtain

    υ(ϑ)ϵβ/α2d(β1)/α2υ1/α(q(ϑ))ϑ(ζ(q1/ε(u))β1(ηi=1ϕi(u)gβ(τ1(δi(u))))dub(ζ))1/αdζ

    and so

    υ(ϑ)+ϵβ/α2d(β1)/α2(ϑ(ζ(q1/ε(u))β1(ηi=1ϕi(u)gβ(τ1(δi(u))))dub(ζ))1/αdζ)υ1/α(q(ϑ))0. (3.45)

    With ω(ϑ)=υ(ϑ) and using (3.16) in (3.45), we see that ω(ϑ) is a positive solution of

    ω(ϑ)+ϵβ/α2d(β1)/α2ε1/αq1/α(ϑ)(ϑ(ζ(q1/ε(u))β1(ηi=1ϕi(u)gβ(τ1(δi(u))))dub(ζ))1/αdζ)ω1/α(q(ϑ))0.

    We finalize the proof using the same method as outlined in Case (1). The proof is now complete.

    Corollary 3.2. Let α=1 and β<1 hold. Assume further that there exists a positive function μC1([ϑ0,),R) such that (3.1) holds. If

    limϑϑq(ϑ)q(3(β1)/ε)+3(ζ)b(q(ζ))(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ= (3.46)

    and

    limϑϑq(ϑ)q(ϱ)(ϱ(1b(ζ)ζ(q1/ε(u))β1(ηi=1ϕi(u)gβ(τ1(δi(u))))du)dζ)dϱ=, (3.47)

    then every solution of (1.1) is oscillatory, where q(ϑ)=τ1(μ(ϑ)).

    Proof. The details of the proof are omitted as they are similar to those of Corollary 3.1.

    We provide the following example to demonstrate our results:

    Example 3.1. Consider the neutral differential equation

    (x(ϑ)+ϑx(ϑA1))(4)+ϕ0ϑ2x(ϑA2)+ϕ0ϑ2x(ϑA3)=0, ϑ1, (3.48)

    It is easy to verify that

    ϑ01b1/α(s)ds=.

    Choosing μ(ϑ)=ϑ/A4 and A=max{A2,A3}, where A4>A1, A4A and A1,A2,A3,A4>1, then (3.1) holds. We also find that

    τ1(ϑ)=A1ϑ, q(ϑ)=A1A4ϑ, τ1(δ1(ϑ))=A1A2ϑ andτ1(δ2(ϑ))=A1A3ϑ.

    Let ε=1/4; we see that (1.4) holds.

    Now, it is easy to check that the condition (3.39) is satisfied, where

    limϑϑq(ϑ)q3(ζ)b(q(ζ))(ηi=1ϕi(ζ)gβ(τ1(δi(ζ))))dζ                              =limϑϑA1ϑ/A4(A1A4s)3(ϕ0s2(A1A2s)1+ϕ0s2(A1A3s)1)ds                              =limϑϑA1ϑ/A4ϕ0(A1A4)3((A1A2)1+(A1A3)1)ds=.

    Moreover, we find that condition (3.40) is satisfied, where

    limϑϑq(ϑ)q(ζ)(ζ1b(u)(u(ηi=1ϕi(ϱ)gβ(τ1(δi(ϱ))))dϱ)du)dζ           =limϑϑA1ϑ/A4A1A4ζ(ζ(u(ϕ0ϱ3((A1A2)1+(A1A3)1))dϱ)du)dζ           =limϑϑA1ϑ/A4A1A4ζ(ζ(ϕ02u2((A1A2)1+(A1A3)1))du)dζ           =limϑϑA1ϑ/A4A1A4ζ(ϕ02ζ((A1A2)1+(A1A3)1))dζ=.

    Thus, using Corollary 3.1, every solution of (3.48) is oscillatory.

    Remark 3.1. Consider the neutral differential equation

    (x(ϑ)+ϑx(ϑ3))(4)+ϕ0ϑ2x(ϑ2)=0, ϑ1, (3.49)

    as a special case of Eq (3.48), we see that Theorem 1.1 cannot be applied to (3.49) since

    limϑg(ϑ)(ϑn2ϑϑ01b1/α(ζ)dζ)γ10,

    accordingly, Theorem 1.1 fails to study the oscillation of (3.49).

    Also, we see that Theorem 1.2 cannot be applied to (3.49) since δ(ϑ)=ϑ/2 is greater than τ(ϑ)=ϑ/3 for ϑ1. Accordingly, Theorem 1.2 fails to study the oscillation of (3.49).

    Now, by using Corollary 3.1 and choosing μ(ϑ)=ϑ/4 and ε=1/4, we see that the conditions (3.39) and (3.40) are satisfied and therefore, Eq (3.49) is oscillatory.

    By using comparison principles, we analyze the asymptotic behavior of solutions to a class of fourth-order neutral differential equations. We have obtained some new oscillation results for (1.1) in the case where ϑ1/b1/α(ζ)dζ=. These results ensure that all solutions to the studied equation are oscillatory, and they also improve and extend some results from previous studies. It will be of interest to investigate the higher-order differential equations of the form

    (b(ϑ)((x(ϑ)+g(ϑ)x(τ(ϑ)))(n1))α)+ηi=1ϕi(ϑ)xβ(δi(ϑ))=0,

    where n4 is an even natural number.

    The authors contributed equally to this work. Both of the authors have read and approved the final version of the manuscript for publication.

    The authors declare that they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The authors acknowledge the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia, under project Grant No. 6018.

    The authors declare no conflicts of interest.



    [1] T. Faria, L. T. Magalhaes, Normal forms for retarded functional differential equations with parameters and applications to Hopf bifurcation, J. Differ. Equations, 122 (1995), 181–200. https://doi.org/10.1006/JDEQ.1995.1144 doi: 10.1006/JDEQ.1995.1144
    [2] T. Faria, Normal forms and Hopf bifurcation for partial differential equations with delays, Trans. Amer. Math. Soc., 352 (2000), 2217–2238. https://doi.org/10.1090/S0002-9947-00-02280-7 doi: 10.1090/S0002-9947-00-02280-7
    [3] F. Yi, J. Wei, J. Shi, Bifurcation and spatiotemporal patterns in a homogeneous diffusive predator-prey system, J. Differ. Equations, 246 (2009), 1944–1977. https://doi.org/10.1016/J.JDE.2008.10.024 doi: 10.1016/J.JDE.2008.10.024
    [4] B. Messaoud, M. B. Almatrafi, Bifurcation and stability of two-dimensional activator-inhibitor model with fractional-order derivative, Fractal Fract., 7 (2023), 344. https://doi.org/10.3390/fractalfract7050344 doi: 10.3390/fractalfract7050344
    [5] A. Q. Khan, S. A. H. Bukhari, M. B. Almatrafi, Global dynamics, Neimark-Sacker bifurcation and hybrid control in a Leslie's prey-predator model, Alexandria Eng. J., 61 (2022), 11391–11404. https://doi.org/10.1016/j.aej.2022.04.042 doi: 10.1016/j.aej.2022.04.042
    [6] A. Q. Khan, F. Nazir, M. B. Almatrafi, Bifurcation analysis of a discrete Phytoplankton-Zooplankton model with linear predational response function and toxic substance distribution, Int. J. Biomath., 16 (2022), 2250095. https://doi.org/10.1142/s1793524522500954 doi: 10.1142/s1793524522500954
    [7] A. Q. Khan, M. Tasneem, M. B. Almatrafi, Discrete-time COVID-19 epidemic model with bifurcation and control, Math. Biosci. Eng., 19 (2022), 1944–1969. https://doi.org/10.3934/mbe.2022092 doi: 10.3934/mbe.2022092
    [8] J. Li, Y. Song, Spatially inhomogeneous periodic patterns induced by distributed memory in the memory-based single population model, Appl. Math. Lett., 137 (2023), 108490. https://doi.org/10.1016/j.aml.2022.108490 doi: 10.1016/j.aml.2022.108490
    [9] H. Shen, Y. Song, H. Wang, Bifurcations in a diffusive resource-consumer model with distributed memory, J. Differ. Equations, 347 (2023), 170–211. https://doi.org/10.1016/j.jde.2022.11.044 doi: 10.1016/j.jde.2022.11.044
    [10] S. Pal, S. Majhi, S. Mandal, N. Pal, Role of fear in a predator-prey model with Beddington-DeAngelis functional response, Z. Nat. A, 74 (2019), 581–595. https://doi.org/10.1515/ZNA-2018-0449 doi: 10.1515/ZNA-2018-0449
    [11] E. L. Preisser, D. I. Bolnick, The many faces of fear: comparing the pathways and impacts of nonconsumptive predator effects on prey populations, PLoS ONE, 3 (2008), e2465. https://doi.org/10.1371/journal.pone.0002465 doi: 10.1371/journal.pone.0002465
    [12] S. Creel, D. Christianson, Relationships between direct predation and risk effects, Trends Ecol. Evol., 23 (2008), 194–201. https://doi.org/10.1016/j.tree.2007.12.004 doi: 10.1016/j.tree.2007.12.004
    [13] R. Yang, Q. Song, Y. An, Spatiotemporal dynamics in a predator-prey model with functional response increasing in both predator and prey densities, Mathematics, 10 (2022), 17. https://doi.org/10.3390/math10010017 doi: 10.3390/math10010017
    [14] M. Clinchy, M. J. Sheriff, L. Y. Zanette, Predator-induced stress and the ecology of fear, Funct. Ecol., 27 (2013), 56–65. https://doi.org/10.1111/1365-2435.12007 doi: 10.1111/1365-2435.12007
    [15] Y. Song, Y. Peng, T. Zhang, The spatially inhomogeneous Hopf bifurcation induced by memory delay in a memory-based diffusion system, J. Differ. Equations, 300 (2021), 597–624. https://doi.org/10.1016/J.JDE.2021.08.010 doi: 10.1016/J.JDE.2021.08.010
    [16] X. Wang, L. Y. Zanette, X. Zou, Modelling the fear effect in predator-prey interactions, J. Math. Biol., 73 (2016), 1179–1204. https://doi.org/10.1007/S00285-016-0989-1 doi: 10.1007/S00285-016-0989-1
    [17] R. Pringle, T. Kartzinel, T. Palmer, T. J. Thurman, K. Fox-Dobbs, C. C. Y. Xu, et al., Predator-induced collapse of niche structure and species coexistence, Nature, 570 (2019), 58–64. https://doi.org/10.1038/s41586-019-1264-6 doi: 10.1038/s41586-019-1264-6
    [18] P. Pandy, N. Pal, S. Samanta, J. Chattopadhyay, A three species food chain model with fear induced trophic cascade, Int. J. Appl. Comput. Math., 5 (2019), 100. https://doi.org/10.1007/s40819-019-0688-x doi: 10.1007/s40819-019-0688-x
    [19] J. P. Suraci, M. Clinchy, L. M. Dill, D. Roberts, L. Y. Zanette, Fear of large carnivores causes a trophic cascade, Nat. Commun., 7 (2016), 10698. https://doi.org/10.1038/ncomms10698 doi: 10.1038/ncomms10698
    [20] W. C. Allee, A. Aggregations, A study in general sociology, University of Chicago Press, 1931. https://doi.org/10.2307/2961735
    [21] T. Liu, L. Chen, F. Chen, Z. Li, Dynamics of a Leslie-Gower model with weak Allee effect on prey and fear effect on predator, Int. J. Bifurcation Chaos, 33 (2023), 2350008. https://doi.org/10.1142/s0218127423500086 doi: 10.1142/s0218127423500086
    [22] J. Jiao, C. Chen, Bogdanov-Takens bifurcation analysis of a delayed predator-prey system with double Allee effect, Nonlinear Dyn., 104 (2021), 1697–1707. https://doi.org/10.1007/s11071-021-06338-x doi: 10.1007/s11071-021-06338-x
    [23] P. Aguirre, A general class of predation models with multiplicative Allee effect, Nonlinear Dyn., 78 (2014), 629–648. https://doi.org/10.1007/S11071-014-1465-3 doi: 10.1007/S11071-014-1465-3
    [24] F. Courchamp, T. Clutton-Brock, B. Grenfell, F. Courchamp T. Clutton-Brock, B. Grenfell, et al., Inverse density dependence and the Allee effect, Trends Ecol. Evol., 14 (1999), 405–410. https://doi.org/10.1016/S0169-5347(99)01683-3 doi: 10.1016/S0169-5347(99)01683-3
    [25] P. Feng, Y. Kang, Dynamics of a modified Leslie-Gower model with double Allee effects, Nonlinear Dyn., 80 (2015), 1051–1062. https://doi.org/10.1007/S11071-015-1927-2 doi: 10.1007/S11071-015-1927-2
    [26] N. Iqbal, R. Wu, Turing patterns induced by cross-diffusion in a 2D domain with strong Allee effect, C. R. Math., 357 (2019), 863–877. https://doi.org/10.1016/j.crma.2019.10.011 doi: 10.1016/j.crma.2019.10.011
    [27] D. S. Boukal, L. Berec, Modelling mate-finding Allee effects and populations dynamics, with applications in pest control, Popul. Ecol., 51 (2009), 445–458. https://doi.org/10.1007/s10144-009-0154-4 doi: 10.1007/s10144-009-0154-4
    [28] M. H. Wang, M. Kot, Speeds of invasion in a model with strong or weak Allee effects, Math. Biosci., 171 (2001), 83–97. https://doi.org/10.1016/S0025-5564(01)00048-7 doi: 10.1016/S0025-5564(01)00048-7
    [29] T. Liu, L. Chen, F. Chen, Z. Li, Stability analysis of a Leslie-Gower model with strong Allee effect on prey and fear effect on predator, Int. J. Bifurcation Chaos, 32 (2022), 2250082. https://doi.org/10.1142/S0218127422500821 doi: 10.1142/S0218127422500821
    [30] K. Fang, Z. L. Zhu, F. D. Chen, Z. Li, Qualitative and bifurcation analysis in a Leslie-Gower model with Allee effect, Qual. Theory Dyn. Syst., 21 (2022), 86. https://doi.org/10.1007/s12346-022-00591-0 doi: 10.1007/s12346-022-00591-0
    [31] L. M. Zhang, Y. K. Xu, G. Y. Liao, Codimension-two bifurcations and bifurcation controls in a discrete biological system with weak Allee effect, Int. J. Bifurcation Chaos, 32 (2022), 2250036. https://doi.org/10.1142/s0218127422500365 doi: 10.1142/s0218127422500365
    [32] L. Zhao, J. H. Shen, Relaxation oscillations in a slow-fast predator-prey model with weak Allee effect and Holling-Ⅳ functional response, Commun. Nonlin. Sci. Numer. Simul., 112 (2022), 106517. https://doi.org/10.1016/j.cnsns.2022.106517 doi: 10.1016/j.cnsns.2022.106517
    [33] R. Yang, X. Zhao, Y. An, Dynamical analysis of a delayed diffusive predator-prey model with additional food provided and anti-predator behavior, Mathematics, 10 (2022), 469. https://doi.org/10.3390/math10030469 doi: 10.3390/math10030469
    [34] W. Zuo, J. Wei, Stability and Hopf bifurcation in a diffusive predator-prey system with delay effect, Nonlinear Anal.: Real World Appl., 12 (2011), 1998–2011. https://doi.org/10.1016/J.NONRWA.2010.12.016 doi: 10.1016/J.NONRWA.2010.12.016
    [35] R. Yang, D. Jin, W. Wang, A diffusive predator-prey model with generalist predator and time delay, AIMS Math., 7 (2022), 4574–4591. https://doi.org/10.3934/math.2022255 doi: 10.3934/math.2022255
    [36] J. F. Zhang, X. P. Yan, Effects of delay and diffusion on the dynamics of a Leslie-Gower type predator-prey model, Int. J. Bifurcation Chaos, 24 (2014), 1450043. https://doi.org/10.1142/S0218127414500436 doi: 10.1142/S0218127414500436
    [37] Y. Song, Y. Peng, T. Zhang, Double Hopf bifurcation analysis in the memory-based diffusion system, J. Dyn. Differ. Equ., 2022. https://doi.org/10.1007/s10884-022-10180-z doi: 10.1007/s10884-022-10180-z
    [38] M. U. Akhmet, M. Beklioglu, T. Ergenc, V. I. Tkachenko, An impulsive ratio-dependent predator-prey system with diffusion, Nonlinear Anal.: Real World Appl., 7 (2006), 1255–1267. https://doi.org/10.1016/j.nonrwa.2005.11.007 doi: 10.1016/j.nonrwa.2005.11.007
    [39] Y. Liu, J. Wei, Double Hopf bifurcation of a diffusive predator-prey system with strong Allee effect and two delays, Nonlinear Anal.: Model. Control, 26 (2021), 72–92. https://doi.org/10.15388/namc.2021.26.20561 doi: 10.15388/namc.2021.26.20561
    [40] Y. Liu, D. Duan, B. Niu, Spatiotemporal dynamics in a diffusive predator-prey model with group defense and nonlocal competition, Appl. Math. Lett., 103 (2019), 106175. https://doi.org/10.1016/j.aml.2019.106175 doi: 10.1016/j.aml.2019.106175
    [41] R. Yang, F. Wang, D. Jin, Spatially inhomogeneous bifurcating periodic solutions induced by nonlocal competition in a predator-prey system with additional food, Math. Methods Appl. Sci., 45 (2022), 9967–9978. https://doi.org/10.1002/mma.8349 doi: 10.1002/mma.8349
    [42] S. Chen, J. Yu, Stability and bifurcation on predator-prey systems with nonlocal prey competition, Discrete Contin. Dyn. Syst., 38 (2018), 43–62. https://doi.org/10.3934/DCDS.2018002 doi: 10.3934/DCDS.2018002
    [43] R. Yang, C. Nie, D. Jin, Spatiotemporal dynamics induced by nonlocal competition in a diffusive predator-prey system with habitat complexity, Nonlinear Dyn., 110 (2022), 879–900. https://doi.org/10.1007/s11071-022-07625-x doi: 10.1007/s11071-022-07625-x
    [44] D. Geng, W. Jiang, Y. Lou, H. Wang, Spatiotemporal patterns in a diffusive predator-prey system with nonlocal intraspecific prey competition, Stud. Appl. Math., 148 (2021), 396–432. https://doi.org/10.1111/sapm.12444 doi: 10.1111/sapm.12444
    [45] M. G. Clerc, D. Escaff, V. M. Kenkre, Analytical studies of fronts, colonies, and patterns: combination of the Allee effect and nonlocal competition interactions, Phys. Rev. E, 82 (2010), 036210. https://doi.org/10.1103/PHYSREVE.82.036210 doi: 10.1103/PHYSREVE.82.036210
    [46] Y. E. Maruvka, T. Kalisky, N. M. Shnerb, Nonlocal competition and the speciation transition on random networks, Phys. Rev. E, 78 (2008), 031920. https://doi.org/10.1103/PHYSREVE.78.031920 doi: 10.1103/PHYSREVE.78.031920
    [47] N. F. Britton, Aggregation and the competitive exclusion principle, J. Theor. Biol., 136 (1989), 57–66. https://doi.org/10.1016/S0022-5193(89)80189-4 doi: 10.1016/S0022-5193(89)80189-4
    [48] J. Furter, M. Grinfeld, Local vs. non-local interactions in population dynamics, J. Math. Biol., 27 (1989), 65–80. https://doi.org/10.1007/BF00276081 doi: 10.1007/BF00276081
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