Dynamics of a Stochastic Delayed Predator-Prey System with Beddington-DeAngelis Functional Response

Mengwei Li, Yuanfu Shao, Yafei Yang
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Abstract

This paper is concerned with a stochastic predator-prey system with Beddington-DeAngelis functional response and time delay. Firstly, we show that this system has a unique positive solution as this is essential in any population dynamics model. Secondly, the validity of the stochastic system is guaranteed by stochastic ultimate boundedness of the analyzed solution. Finally, by constructing suitable Lyapunov functions, the asymptotic moment estimation of the solution was given. These properties of the solution can provide theoretical support for biological resource management.
具有Beddington-DeAngelis功能响应的随机延迟捕食-食饵系统动力学
研究了一类具有Beddington-DeAngelis函数响应和时滞的随机捕食系统。首先,我们证明了这个系统有一个唯一的正解,这在任何种群动力学模型中都是必不可少的。其次,通过分析解的随机极限有界性来保证随机系统的有效性。最后,通过构造合适的Lyapunov函数,给出了解的渐近矩估计。该溶液的这些特性可为生物资源管理提供理论支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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