학술논문

Two-parameter family of infinite-dimensional diffusions on the Kingman simplex
Document Type
Report
Author
Source
Functional Analysis and Its Applications. Dec, 2009, Vol. 43 Issue 4, p279, 18 p.
Subject
Population genetics
Markov processes
Language
English
ISSN
0016-2663
Abstract
We construct a two-parameter family of diffusion processes X .sub.[alpha],I, on the Kingman simplex, which consists of all nonincreasing infinite sequences of nonnegative numbers with sum less than or equal to one. The processes on this simplex arise as limits of finite Markov chains on partitions of positive integers. For [alpha] = 0, our process coincides with the infinitely-many-neutral-alleles diffusion model constructed by Ethier and Kurtz (1981) in population genetics. The general two-parameter case apparently lacks population-genetic interpretation. In the present paper, we extend Ethier and Kurtz's main results to the two-parameter case. Namely, we show that the (two-parameter) Poisson-Dirichlet distribution PD([alpha],I,) is the unique stationary distribution for the process X .sub.[alpha],I, and that the process is ergodic and reversible with respect to PD([alpha], I,). We also compute the spectrum of the generator of X .sub.[alpha],I,. The Wright-Fisher diffusions on finite-dimensional simplices turn out to be special cases of X .sub.[alpha],I, for certain degenerate parameter values.