2017
DOI: 10.1155/2017/3742197
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Dynamical Analysis of a Class of Prey-Predator Model with Beddington-DeAngelis Functional Response, Stochastic Perturbation, and Impulsive Toxicant Input

Abstract: A stochastic prey-predator system in a polluted environment with Beddington-DeAngelis functional response is proposed and analyzed. Firstly, for the system with white noise perturbation, by analyzing the limit system, the existence of boundary periodic solutions and positive periodic solutions is proved and the sufficient conditions for the existence of boundary periodic solutions and positive periodic solutions are derived. And then for the stochastic system, by introducing Markov regime switching, the suffic… Show more

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Cited by 49 publications
(26 citation statements)
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“…Let h = 1.5 satisfy the condition 0 < h < x E 1 , we select the orbit starting from (4,4). A directed calculation yields p 1.5 = 0.0096, τ 1.5 = 1.3945 and q 1.5 = 0.6923 which satisfy the condition h < x E 1 < (1 -p h )h + τ h < x E 2 .…”
Section: Numerical Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Let h = 1.5 satisfy the condition 0 < h < x E 1 , we select the orbit starting from (4,4). A directed calculation yields p 1.5 = 0.0096, τ 1.5 = 1.3945 and q 1.5 = 0.6923 which satisfy the condition h < x E 1 < (1 -p h )h + τ h < x E 2 .…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…If fishery resources are used properly, it can adapt to the natural regeneration ability of the resource and maintain the optimum sustainable yield. If people harvest fish unrestricted, it will lead to the extinction of the species [1][2][3][4]. Therefore, looking for a reasonable harvest strategy to ensure the sustainable development of fishery resources has become the focus of research.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a large number of researchers have widely concerned the stochastic models with regime switching (see e.g. [36][37][38][39][40]). In 1978, Slatkin [41] developed and analyzed a population model in a markovian environment.…”
Section: Introductionmentioning
confidence: 99%
“…It is obvious that different seasons can affect the intrinsic growth rates of the species significantly. Recently, the stochastic population models under regime switching have attracted many authors' attention [36][37][38][39][40][41][42][43][44][45][46]. Usually, the regime switching between environmental regimes is memoryless and the waiting time for the next switching follows exponential distribution.…”
Section: Introductionmentioning
confidence: 99%