Stability and bifurcation of mutual system with time delay

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Abstract

In this paper, we study the stability and bifurcation in a mutual model with a delay τ, where τ is regarded as a parameter. It is found that there are stability switches, and Hopf bifurcation occur when the delay τ passes through a sequence of critical values. A formula for determining the direction of the Hopf bifurcation and the stability of bifurcating periodic solutions in the first bifurcation value is given using the normal form method and center manifold theorem.

Introduction

Two species cohabit a common habitat and each species enhances the average growth rate of the other, this type of ecological interaction is known as facultative mutualism. Mutual phenomenon can increase viability and make species persistently multiply. As far as we know, the research on mutual system is less than prey-predator system [1] and competitive system [2]. Moreover, the known results of mutual system mainly focus on stability and persistence [3], [4]. Research on the ecologic system stability of positive equilibrium and existence of periodic solutions is very critical, which can help us to realize the law for species quantity and predict the trend for species quantity. In this paper we study the stability of positive equilibrium and existence of periodic solutions of mutual system with a delayẋ(t)=r1x(t)1−x(t−τ)k1+ax(t)y(t),ẏ(t)=r2y(t)1−y(t−τ)k2+bx(t)y(t),where r, k, a, b, (ℓ=1,2) are positive, τ⩾0. x(t) and y(t) are respectively densities of two species at time t, r is the intrinsic growth rate of two species, k is the ecosystem support or environmental carrying capacity for two species, a and b are the rates of transmission between two species. For Eq. (1.1), He and Gopalsamy recently study the stability and persistence by Liapunov’s second method in [5]. It is well-known that the delay is the key to give rise to difference of between the delay differential equations and ordinary differential equations. A natural question is how the delay affects the dynamics of Eq. (1.1). The purpose of this paper is to answer this question partially.

When the delay is zero, Theorem 3.1 in [4] indicates that the positive equilibrium of system (1.1) is global asymptotically stable. The theorem shows that system (1.1) has no non-trivial positive periodic solutions when the delay is zero. Applying Hopf bifurcation theory, we find that the system has positive periodic solutions for some τ. In addition, formulae for determining the direction and stability of bifurcating periodic solutions are presented by the center manifold theorem and normal form method. Finally, a numerical simulation example is performed for supporting the analysis results. The remainder of the paper is organized as follows: employing the method introduced by Cooke and Grossman [6] and regarding the delay τ as a parameter, we investigate the characteristic equation and get the existence of the stability switches and Hopf bifurcation in Section 2; the formulae for determining bifurcation direction and stability of the bifurcating periodic solutions are presented in Section 3; in Section 4, numerical simulation is carried out.

Section snippets

Stability of trivial solutions and existence of Hopf bifurcation

Consider the delayed differential equationẋ(t)=r1x(t)1−x(t−τ)k1+ax(t)y(t),ẏ(t)=r2y(t)1−y(t−τ)k2+bx(t)y(t),where r1, r2, a, b, k1 and k2 are positive, and τ⩾0. Clearly, the points (00), (0k2), (k10) and (x,y) are all the equilibria of (2.1), wherex=r2k1(ak2+r1)r1r2−abk1k2,y=r1k2(bk1+r2)r1r2−abk1k2.

Suppose(P1)r1r2−abk1k2>0holds. Then (x,y) is a positive equilibrium of (2.1). Noting that x(t) and y(t) are species densities at time t, only the case of positive equilibrium is studied. Let

The properties of Hopf bifurcation

In this section, formulae for determining the direction of Hopf bifurcation and the stability of bifurcating periodic solutions of system (2.3) at τ0 shall be presented by employing the normal form method and center manifold theorem introduced by Hassard et al. [9] under the conditions of (P1) and (P2). Denote τ01 and ω01 by τ0 and ω0 respectively.

For convenience, let t=, X()=X1(s), Y()=X2(s) and τ=τ0+μ, μR. τ0 is defined by (2.5). Denote t=s, then system (2.3) is equivalent to the system

Numerical simulation example

In this section, some numerical results of simulating system (2.1) are presented at different data of r1, r2, k1, k2, a, b. Consider the system.ẋ(t)=0.4463x(t)1−x(t−τ)0.9227+0.1603x(t)y(t),ẏ(t)=0.1476y(t)1−y(t−τ)0.6655+0.1066x(t)y(t).

From the formulae in Section 3 and direct computation, we obtain:C1(0)=−0.0019−0.0164i.

Due to α(τ0)>0, it implies that μ2>0 and β2<0, so the direction of Hopf bifurcation is μ>0, that is, (3.1) has non-constant periodic solutions and bifurcating periodic

Acknowledgements

The research was supported by the National Natural Sciences Foundation of PR China (no. 19831030). The authors wish to express their thanks to the anonymous referee for many valuable remarks which improve the manuscript greatly.

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