Advances in Applied Probability

Asymptotic behavior of a Feller evolution family involved in the Fisher-Wright model

Adam Bobrowski
Source: Adv. in Appl. Probab. Volume 40, Number 3 (2008), 734-758.

Abstract

We study the evolution in time of the joint distribution of a pair of Feller processes, related by the fact that some random time ago they were identical, evolving as a single Feller process; from that time on, they began to evolve independently, conditional on a state at the time of split, according to the same Feller transition probabilities. Such processes are involved in the Fisher-Wright model: the distribution of the time counted backwards from the present to the time of split in the past is a function of deterministic but time-varying effective size 2N of the population from which the two processes are sampled. In terms of a corresponding family of Feller operators, assuming asymptotic stability or ergodicity of the process of mutation, we find the limit form of the distribution of such pairs of processes sampled from decaying, asymptotically constant, and growing populations. In the case where mutation is not asymptotically stable or ergodic, limit distributions are found for the distribution of relative differences.

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Primary Subjects: 92D25
Secondary Subjects: 47N60
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Permanent link to this document: http://projecteuclid.org/euclid.aap/1222868184
Digital Object Identifier: doi:10.1239/aap/1222868184
Mathematical Reviews number (MathSciNet): MR2454031
Zentralblatt MATH identifier: 1147.92028

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Advances in Applied Probability

Advances in Applied Probability