Research Article | Open Access
Changjin Xu, Yuanfu Shao, Peiluan Li, "Uniformly Strong Persistence for a Delayed Predator-Prey Model", Journal of Applied Mathematics, vol. 2012, Article ID 358918, 7 pages, 2012. https://doi.org/10.1155/2012/358918
Uniformly Strong Persistence for a Delayed Predator-Prey Model
An asymptotically periodic predator-prey model with time delay is investigated. Some sufficient conditions for the uniformly strong persistence of the system are obtained. Our result is an important complementarity to the earlier results.
The dynamical behavior including boundedness, stability, permanence, and existence of periodic solutions of predator-prey systems has attracted a great deal of attention and many excellent results have already been derived. For example, Gyllenberg et al.  studied limit cycles of a competitor-competitor-mutualist Lotka-Volterra model. Mukherjee  made a discussion on the uniform persistence in a generalized prey-predator system with parasitic infection. Aggelis et al.  considered the coexistence of both prey and predator populations of a prey-predator model. Agiza et al.  investigated the chaotic phenomena of a discrete prey-predator model with Holling type II. Sen et al.  analyzed the bifurcation behavior of a ratio-dependent prey-predator model with the Allee effect. Zhang and Luo  gave a theoretical study on the existence of multiple positive periodic solutions for a delayed predator-prey system with stage structure for the predator. Nindjin and Aziz-Alaoui  focused on the persistence and global stability in a delayed Leslie-Gower-type three species food chain. Ko and Ryu  discussed the coexistence states of a nonlinear Lotka-Volterra-type predator-prey model with cross-diffusion. Fazly and Hesaaraki  dealt with periodic solutions of a predator-prey system with monotone functional responses. One can see [10–19] and so forth for more related studies. However, the research work on asymptotically periodic predator-prey model is very few at present.
The so-called asymptotically periodic function is that a function can be expressed by the form , where is a periodic function and satisfies .
In 2006, Kar and Batabyal  investigated the stability and bifurcation of the following predator-prey model with time delay with initial conditions , where denotes the densities of prey; and denote the densities of two predators, respectively, at time ; and denote the intraspecific competition coefficients of the predators; and denote the conversion of biomass constant; and are the death rate of first and second predator species, respectively; is the maximum values of per capita reduction rate of due to and is the maximum values of per capita reduction rate of due to ; and are half saturation constants. is time delay in the prey species. All the parameters are positive constants. For details, one can see .
It will be pointed out that all biological and environment parameters in model (1.1) are constants in time. However, any biological or environmental parameters are naturally subject to fluctuation in time. Thus the effects of a periodically varying environment are important for evolutionary theory as the selective forces on systems in a fluctuating environment differ from those in a stable environment. Therefore, the assumptions of periodicity of the parameters are a way of incorporating the periodicity the environment (such as seasonal effects of weather, food supplies, and mating habits). Inspired by above considerations and considering the asymptotically periodic function, in this paper, we will modify system (1.1) as follows: with initial conditions .
In order to obtain our results, we always assume that system (1.2) satisfies , , , ,, , , are continuous, nonnegative periodic functions; , , , , , , , are continuous, nonnegative asymptotically items of asymptotically periodic functions.
2. Uniformly Strong Persistence
In this section, we will present some result about the uniformly strong persistence of system (1.2). For convenience and simplicity in the following discussion, we introduce the notations, definition, and Lemmas. Let In view of the definitions of lower limit and upper limit, it follows that for any , there exists such that
Lemma 2.2. Both the positive and nonnegative cones of are invariant with respect to system (1.2).
Lemma 2.3 (see ). If , and , where is a positive constant, when and , we have
In the following, we will be ready to state our result.
Proof. It follows from (2.2) that for any , there exists such that for , Substitute (2.5) into the first equation of system (1.2), then we have By Lemma 2.3, we get Then for any , there exists such that Similarly, from (2.2) and the second equation of system (1.2), we obtain that for any , there exists such that In view of Lemma 2.3, we derive Then for any , there exists such that From (2.2) and the third equation of system (1.2), we obtain that for any , there exists such that In view of Lemma 2.3, we derive Then for any , there exists such that According (2.8), (2.11), (2.14) and the first equation of system (1.2), we obtain that for any , there exists such that Using Lemma 2.3 again, we have Thus for any , there exists such that According (2.8), (2.11), (2.14) and the second equation of system (1.2), we obtain that for any , there exists such that Using Lemma 2.3 again, we have Thus for any , there exists such that According (2.8), (2.11), (2.14) and the third equation of system (1.2), we obtain that for any , there exists such that Using Lemma 2.3 again, we have Thus the proof of Theorem 2.4 is complete.
This work is supported by National Natural Science Foundation of China (no. 11261010 and no. 11161015), Soft Science and Technology Program of Guizhou Province (no. 2011LKC2030), Natural Science and Technology Foundation of Guizhou Province (J2100), Governor Foundation of Guizhou Province (53), and Doctoral Foundation of Guizhou University of Finance and Economics (2010).
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