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The accuracy of the diffusion approximation to the expected time to extinction for some discrete stochastic processes

Published online by Cambridge University Press:  14 July 2016

J. Grasman*
Affiliation:
Mathematisch Centrum, Amsterdam
D. Ludwig*
Affiliation:
University of British Columbia
*
Postal address: Mathematisch Centrum, Kruislaan 413, 1098 SJ Amsterdam, The Netherlands.
∗∗ Postal address: Department of Mathematics, University of British Columbia, Vancouver, B.C., Canada V6T 1W5.

Abstract

Asymptotic approximations and numerical computations are used to estimate the accuracy of the diffusion approximation for the expected time to extinction for some stochastic processes. The results differ for processes with a continuant transition matrix (e.g. a birth and death process), and those with a noncontinuant transition matrix (e.g. a non-linear branching process). In the latter case, the diffusion equation does not hold near the point of exit. Consequently, high-order corrections do not result in substantial improvement over the diffusion approximation.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1983 

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Footnotes

Research supported in part by NSERC, Canada, under Grant No. A-9239 and performed in the academic year 1981/82 when the first author was visiting the Department of Mathematics, University of British Columbia.

References

Ewens, W. J. (1964) The pseudo-transient distribution and its uses in genetics. J. Appl. Prob. 1, 141156.CrossRefGoogle Scholar
Ewens, W. J. (1979) Mathematical Population Genetics. Springer-Verlag, Berlin.Google Scholar
Fisher, R. A. (1958) The Genetic Theory of Natural Selection. Dover, New York.Google Scholar
Goel, N. S. and Richter-Dyn, N. (1974) Stochastic Models in Biology. Academic Press, New York.Google Scholar
Ludwig, D. (1975) Persistence of dynamical systems under random perturbation. SIAM Rev. 17, 605640.CrossRefGoogle Scholar
Matkowsky, B. J. and Schuss, Z. (1977) The exit problem for randomly perturbed dynamical systems. SIAM J. Appl. Math. 33, 365382.CrossRefGoogle Scholar
Moran, P. A. P. (1962) The Statistical Processes of Evolutionary Theory. Clarendon Press, Oxford.Google Scholar
Ricciardi, L. M. (1977) Diffusion Processes and Related Topics in Biology. Lecture Notes in Biomathematics 14, Springer-Verlag, Berlin.CrossRefGoogle Scholar