Journal of Applied Mathematics and Physics

Volume 8, Issue 11 (November 2020)

ISSN Print: 2327-4352   ISSN Online: 2327-4379

Google-based Impact Factor: 1.00  Citations  

Analysis of a Stochastic Ratio-Dependent Predator-Prey System with Markovian Switching and Lévy Jumps

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DOI: 10.4236/jamp.2020.811195    504 Downloads   1,362 Views  

ABSTRACT

In this paper, the dynamics of a stochastic ratio-dependent predator-prey system with markovian switching and Lévy noise is studied. Firstly, we show the existence condition of global positive solution under the given positive initial value. Secondly, sufficient conditions for system extinction and persistence are obtained through some assumptions. Then, the sufficient conditions of stochastically persistence are obtained by combining stochastic analysis technique and M-matrix analysis. In addition, under appropriate conditions, we demonstrate the existence of a unique stationary distribution for a system without Lévy jumps. Finally, the empirical and Mlistein methods are used to verify the theoretical results through numerical simulation.

Share and Cite:

Zhang, X. , Shao, Y. and Zhang, T. (2020) Analysis of a Stochastic Ratio-Dependent Predator-Prey System with Markovian Switching and Lévy Jumps. Journal of Applied Mathematics and Physics, 8, 2632-2657. doi: 10.4236/jamp.2020.811195.

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