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Stationary probability distributions of some lotka-volterra types of stochastic predation systems 

Authors: David W. K. Yeung a; Sally E. A. Stewart b
Affiliations:   a School of Economics & Finance and Centre of Urban Planning & Environmental Management, The University of Hong Kong, Hong Kong, Hong Kong
b Department of Management Studies, The University of Hong Kong, Hong Kong, Hong Kong
DOI: 10.1080/07362999508809412
Publication Frequency: 6 issues per year
Published in: journal Stochastic Analysis and Applications, Volume 13, Issue 4 1995 , pages 503 - 516
Formats available: PDF (English)
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Abstract

This paper provides exact solutions to the stationary probability distributions in some stochastic predation systems. These are derived by solving the Fokker-Planck equations for:

(i) a generalized stochastic Lotka-Volterra predator-prey system, and

(ii) a generalised stochastic Lotka-Volterra food chain.



In all these systems the growth dynamics of all levels of species are subject to stochastic shocks. Since stationary probability distributions provide the most comprehensive characterization of a stochastic system in a steady state, system stability can be analysed accordingly
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