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
Formats available:
PDF
(English)
View Article:
View Article (PDF)
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 |
| view references (11) : view citations |

Download Citation

CiteULike
Del.icio.us
BibSonomy
Connotea