Advances in Difference Equations | |
Analysis of a stochastic predator-prey model with disease in the predator and Beddington-DeAngelis functional response | |
Shuang Li1  Xiaopan Wang2  | |
[1] College of Mathematics and Information Science, Henan Normal University, Xinxiang, P.R. China;Henan Engineering Laboratory for Big Data Statistical Analysis and Optimal Control, School of Mathematics and Information Science, Henan Normal University, Xinxiang, P.R. China | |
关键词: predator-prey; Beddington-DeAngelis functional response; stochastic; stationary distribution; stability; persistence; extinction; 92B05; 34F05; 60H10; | |
DOI : 10.1186/s13662-015-0448-0 | |
学科分类:数学(综合) | |
来源: SpringerOpen | |
【 摘 要 】
A predator-prey model with Beddington-DeAngelis functional response and disease in the predator population is proposed, corresponding to the deterministic system, a stochastic model is investigated with parameter perturbation. In Additional file 1, qualitative analysis of the deterministic system is considered. For the stochastic system, the existence of a global positive solution and an estimate of the solution are derived. Sufficient conditions of persistence in the mean or extinction for all the populations are obtained. In contrast to conditions of permanence for the deterministic system in Additional file 1, it shows that environmental stochastic perturbation can reduce the size of population to a certain extent. When the white noise is small, there is a stationary distribution. In addition, conditions of global stability for the deterministic system are also established from the above result. These results mean that the stochastic system has a similar property to the corresponding deterministic system when the white noise is small. Finally, numerical simulations are carried out to support our findings.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201904024388842ZK.pdf | 1868KB | download |