Permanence and asymptotic behaviors of stochastic predator-prey system with Markovian switching and Levy noise

被引:2
|
作者
Wang, Sheng [1 ]
Wang, Linshan [2 ]
Wei, Tengda [3 ]
机构
[1] Henan Polytech Univ, Sch Math & Informat Sci, Jiaozuo 454003, Peoples R China
[2] Ocean Univ China, Sch Math, Qingdao 266071, Peoples R China
[3] Ocean Univ China, Coll Ocean & Atmospher Sci, Qingdao 266071, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic permanence; Markov chain; Levy noise; Predator-prey; Beddington-DeAngelis; LOTKA-VOLTERRA MODEL; POPULATION-DYNAMICS; RANDOM PERTURBATION; LESLIE-GOWER; JUMPS; EXTINCTION; DIFFUSION; EQUATIONS;
D O I
10.1016/j.physa.2017.12.088
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
paper concerns the dynamics of a stochastic predator prey system with Markovian switching and Levy noise. First, the existence and uniqueness of global positive solution to the system is proved. Then, by combining stochastic analytical techniques with M matrix analysis, sufficient conditions of stochastic permanence and extinction are obtained. Furthermore, for the stochastic permanence case, by means of four constants related to the stationary probability distribution of the Markov chain and the parameters of the subsystems, both the superior limit and the inferior limit of the average in time of the sample path of the solution are estimated. Finally, our conclusions are illustrated through an example. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:294 / 311
页数:18
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