Study on Dynamic Behavior of a Stochastic Predator–Prey System with Beddington–DeAngelis Functional Response and Regime Switching

Author:

Wang Quan1,Zu Li123,Jiang Daqing45,O’Regan Donal6ORCID

Affiliation:

1. College of Mathematics and Statistics, Hainan Normal University, Haikou 571158, China

2. Key Laboratory of Ministry of Education for Data Science and Intelligence Education, Hainan Normal University, Haikou 571158, China

3. Ministry of Education and Key Laboratory of Computational Science and Application of Hainan Province, Hainan Normal University, Haikou 571158, China

4. School of Science, China University of Petroleum (East China), Qingdao 266580, China

5. Nonlinear Analysis and Applied Mathematics(NAAM)-Research Group, King Abdulaziz University, Jeddah 121589, Saudi Arabia

6. School of Mathematics, Statistics and Applied Mathematics, National University of Ireland, H91 TK33 Galway, Ireland

Abstract

In this paper, by introducing environmental white noise and telegraph noise, we proposed a stochastic predator–prey model with the Beddington–DeAngelis type functional response and investigated its dynamical behavior. Persistence and extinction are two core contents of population model research, so we analyzed these two properties. The sufficient conditions of the strong persistence in the mean and extinction were established and the threshold between them was obtained. Moreover, we took stability into account and, by means of structuring a suitable Lyapunov function with regime switching, we proved that the stochastic system has a unique stationary distribution. Finally, numerical simulations were used to illustrate our theoretical results.

Funder

National Natural Science Foundation of PR China

specific research fund of The Innovation Platform for Academicians of Hainan Province

Higher Education Project of Hainan Provincial Department of Education

Research Funds for Department of Science and Technology of Jilin Province

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

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