Conditions for Permanence and Ergodicity of Certain Stochastic Predator-Prey Models
Probability
2016-04-04 v2
Abstract
This work derives sufficient conditions for the permanence and ergodicity of a stochastic predator-prey model with Beddington-DeAngelis functional response. The conditions obtained in fact are very close to the necessary conditions. Both non-degenerate and degenerate diffusions are considered. One of the distinctive features of our results is that our results enables characterization of the support of a unique invariant probability measure. It proves the convergence in total variation norm of the transition probability to the invariant measure. Comparisons to existing literature and related matters to other stochastic predator-prey models are also given.
Keywords
Cite
@article{arxiv.1506.02774,
title = {Conditions for Permanence and Ergodicity of Certain Stochastic Predator-Prey Models},
author = {Nguyen Huu Du and Hai Dang Nguyen and George Yin},
journal= {arXiv preprint arXiv:1506.02774},
year = {2016}
}
Comments
Journal of Applied Probability