Literature DB >> 1940665

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

M Iizuka1, Y Ogura.   

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.

Mesh:

Year:  1991        PMID: 1940665     DOI: 10.1007/bf00163918

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  4 in total

1.  Effect of temporal fluctuation of selection coefficient on gene frequency in a population.

Authors:  N Takahata; K Ishii; H Matsuda
Journal:  Proc Natl Acad Sci U S A       Date:  1975-11       Impact factor: 11.205

2.  Weak convergence of a sequence of stochastic difference equations to a stochastic ordinary differential equation.

Authors:  M Iizuka
Journal:  J Math Biol       Date:  1987       Impact factor: 2.259

3.  A simple stochastic gene substitution model.

Authors:  J H Gillespie
Journal:  Theor Popul Biol       Date:  1983-04       Impact factor: 1.570

4.  A general model to account for enzyme variation in natural populations. V. The SAS--CFF model.

Authors:  J H Gillespie
Journal:  Theor Popul Biol       Date:  1978-08       Impact factor: 1.570

  4 in total
  1 in total

1.  Stochastic elimination of cancer cells.

Authors:  Franziska Michor; Martin A Nowak; Steven A Frank; Yoh Iwasa
Journal:  Proc Biol Sci       Date:  2003-10-07       Impact factor: 5.349

  1 in total

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