Kingman’s Model with Random Mutation Probabilities: Convergence and Condensation II

Author:

Yuan LinglongORCID

Abstract

AbstractA generalisation of Kingman’s model of selection and mutation has been made in a previous paper which assumes all mutation probabilities to be i.i.d.. The weak convergence of fitness distributions to a globally stable equilibrium was proved. The condensation occurs if almost surely a positive proportion of the population travels to and condensates on the largest fitness value due to the dominance of selection over mutation. A criterion of condensation was given which relies on the equilibrium whose explicit expression is however unknown. This paper tackles these problems based on the discovery of a matrix representation of the random model. An explicit expression of the equilibrium is obtained and the key quantity in the condensation criterion can be estimated. Moreover we examine how the design of randomness in Kingman’s model affects the fitness level of the equilibrium by comparisons between different models. The discovered facts are conjectured to hold in other more sophisticated models.

Funder

Young Scientists Fund

Xi’an Jiaotong-Liverpool University

Publisher

Springer Science and Business Media LLC

Subject

Mathematical Physics,Statistical and Nonlinear Physics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Local resetting in non-conserving zero-range processes with extensive rates;Journal of Physics Communications;2024-04-01

2. Branching with Selection and Mutation I: Mutant Fitness of Fréchet Type;Journal of Statistical Physics;2023-06-28

3. Study the genetic variation using Eta functions;Computational and Applied Mathematics;2023-02-24

4. Kingman’s model with random mutation probabilities: convergence and condensation I;Advances in Applied Probability;2022-02-25

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