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Convergence of one-dimensional diffusion processes to a jump process related to population genetics.

作者信息

Iizuka M, Ogura Y

机构信息

General Education Course, Chikushi Jogakuen Junior College, Fukuoka-ken, Japan.

出版信息

J Math Biol. 1991;29(7):671-87. doi: 10.1007/BF00163918.

DOI:10.1007/BF00163918
PMID:1940665
Abstract

A conjecture on the convergence of diffusion models in population genetics to a simple Markov chain model is proved. The notion of bi-generalized diffusion processes and their limit theorems are used systematically to prove the conjecture. Three limits; strong selection-weak mutation limit, moderate selection-weak mutation limit, weak selection-weak mutation limit are considered for typical diffusion models in population genetics.

摘要

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本文引用的文献

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Weak convergence of a sequence of stochastic difference equations to a stochastic ordinary differential equation.一列随机差分方程到一个随机常微分方程的弱收敛。
J Math Biol. 1987;25(6):643-52. doi: 10.1007/BF00275500.
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