Persistence and Stochastic Extinction in a Lotka-Volterra Predator-Prey Stochastically Perturbed Model

被引:1
|
作者
Shaikhet, Leonid [1 ]
Korobeinikov, Andrei [2 ]
机构
[1] Ariel Univ, Dept Math, IL-40700 Ariel, Israel
[2] Shaanxi Normal Univ, Sch Math & Informat Sci, Xian 710062, Peoples R China
关键词
stochastic perturbations; white noise; Ito's stochastic differential equation; the Lyapunov functions method; stability in probability; stabilization by noise; stochastic extinction; persistence; BEHAVIOR;
D O I
10.3390/math12101588
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The classical Lotka-Volterra predator-prey model is globally stable and uniformly persistent. However, in real-life biosystems, the extinction of species due to stochastic effects is possible and may occur if the magnitudes of the stochastic effects are large enough. In this paper, we consider the classical Lotka-Volterra predator-prey model under stochastic perturbations. For this model, using an analytical technique based on the direct Lyapunov method and a development of the ideas of R.Z. Khasminskii, we find the precise sufficient conditions for the stochastic extinction of one and both species and, thus, the precise necessary conditions for the stochastic system's persistence. The stochastic extinction occurs via a process known as the stabilization by noise of the Khasminskii type. Therefore, in order to establish the sufficient conditions for extinction, we found the conditions for this stabilization. The analytical results are illustrated by numerical simulations.
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页数:8
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