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October 1999 The concept of duality and applications to Markov processes arising in neutral population genetics models
Martin Möhle
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Bernoulli 5(5): 761-777 (October 1999).

Abstract

One possible and widely used definition of the duality of Markov processes employs functions H relating one process to another in a certain way. For given processes X and Y the space U of all such functions H, called the duality space of X and Y, is studied in this paper. The algebraic structure of U is closely related to the eigenvalues and eigenvectors of the transition matrices of X and Y. Often as for example in physics (interacting particle systems) and in biology (population genetics models) dual processes arise naturally by looking forwards and backwards in time. In particular, time-reversible Markov processes are self-dual. In this paper, results on the duality space are presented for classes of haploid and two-sex population models. For example dim U = N+ 3 for the classical haploid Wright-Fisher model with fixed population size N.

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Martin Möhle. "The concept of duality and applications to Markov processes arising in neutral population genetics models." Bernoulli 5 (5) 761 - 777, October 1999.

Information

Published: October 1999
First available in Project Euclid: 12 February 2007

zbMATH: 0942.92020
MathSciNet: MR1715438

Keywords: ‎centralizer‎ , duality space , generalized Jordan matrix , haploid population models , Interacting random processes , Markov chains with discrete parameter , Moran model , Population dynamics , spectral form , two-sex population models , Wright-Fisher model

Rights: Copyright © 1999 Bernoulli Society for Mathematical Statistics and Probability

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Vol.5 • No. 5 • October 1999
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