Convergence of One-Dimensional Diffusion Processes to a Jump Process Related to Population Genetics

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.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1990
Accession Number
ADA232121

Entities

People

  • Masaru Iizuka
  • Yukio Ogura

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Biology
  • Convergence
  • Differential Equations
  • Diffusion
  • Equations
  • Genetics
  • Markov Chains
  • Markov Processes
  • Mutations
  • New York
  • North Carolina
  • Numerical Analysis
  • Population Genetics
  • Probability
  • Statistical Sampling
  • Statistics
  • Stochastic Processes

Fields of Study

  • Biology
  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Molecular Genetics

Technology Areas

  • Biotechnology