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Analysis of a stochastic predator–prey system with modified Leslie–Gower and Holling-type IV schemes

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  • Xu, Dongsheng
  • Liu, Ming
  • Xu, Xiaofeng

Abstract

In this paper, we investigate the dynamics of a stochastic predator–prey system with modified Leslie–Gower and Holling-type IV schemes. We first show the existence and uniqueness of the global positive solution to the system with positive initial values. In some case, the stochastic boundedness and stochastic permanence are obtained. Then, under some conditions, we prove the persistence in mean and extinction of the stochastic system. Moreover, under certain parametric restrictions, we obtain that the system has a stationary distribution which is ergodic. Finally, some numerical simulations are carried out to support our results.

Suggested Citation

  • Xu, Dongsheng & Liu, Ming & Xu, Xiaofeng, 2020. "Analysis of a stochastic predator–prey system with modified Leslie–Gower and Holling-type IV schemes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    • Handle: RePEc:eee:phsmap:v:537:y:2020:i:c:s0378437119315699
    DOI: 10.1016/j.physa.2019.122761
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    References listed on IDEAS

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    1. Liu, Qun & Jiang, Daqing & Shi, Ningzhong & Hayat, Tasawar, 2018. "Dynamics of a stochastic delayed SIR epidemic model with vaccination and double diseases driven by Lévy jumps," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2010-2018.
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    4. Mandal, Partha Sarathi & Banerjee, Malay, 2012. "Stochastic persistence and stationary distribution in a Holling–Tanner type prey–predator model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1216-1233.
    5. Liu, Qun & Jiang, Daqing & Hayat, Tasawar & Alsaedi, Ahmed, 2018. "Stationary distribution of a stochastic delayed SVEIR epidemic model with vaccination and saturation incidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 849-863.
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    Cited by:

    1. Yuanfu Shao & Weili Kong, 2022. "A Predator–Prey Model with Beddington–DeAngelis Functional Response and Multiple Delays in Deterministic and Stochastic Environments," Mathematics, MDPI, vol. 10(18), pages 1-25, September.
    2. Chen, Xingzhi & Tian, Baodan & Xu, Xin & Zhang, Hailan & Li, Dong, 2023. "A stochastic predator–prey system with modified LG-Holling type II functional response," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 449-485.

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