NDLI: A stochastic competing-species model and ergodicity

Content Provider	Scilit
Author	Chen, Zengjing Kulperger, Reg
Copyright Year	2005
Description	We consider a classic competing-species model with the rates changed to include Gaussian white noise. We show that if the noise is not too large, then the stochastic version is ergodic. An explicit relation between the noise and the original competing-species parameters gives a sufficient condition for ergodicity.
Related Links	https://www.cambridge.org/core/services/aop-cambridge-core/content/view/0905C5C1BDA589C68C79E72025AF89FF/S0021900200000747a.pdf/div-class-title-a-stochastic-competing-species-model-and-ergodicity-div.pdf
Ending Page	753
Page Count	16
Starting Page	738
ISSN	00219002
e-ISSN	14756072
DOI	10.1017/s0021900200000747
Journal	Journal of applied probability
Issue Number	03
Volume Number	42
Language	English
Publisher	Cambridge University Press (CUP)
Publisher Date	2005-09-01
Access Restriction	Open
Subject Keyword	Journal of applied probability Particles and Fields Physics Competing Species Itô Process Brownian Motion
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty

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