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类结构种群中频率依赖的增长:弱选择极限下的连续动力学

Frequency-dependent growth in class-structured populations: continuous dynamics in the limit of weak selection.

作者信息

Lessard Sabin, Soares Cíntia Dalila

机构信息

Département de mathématiques et de statistique, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, QC, H3C 3J7, Canada.

出版信息

J Math Biol. 2018 Jul;77(1):229-259. doi: 10.1007/s00285-017-1195-5. Epub 2017 Dec 13.

Abstract

In this paper we consider class-structured populations in discrete time in the limit of weak selection and with the inverse of the intensity of selection as unit of time. The aim is to establish a continuous model that approximates the discrete model. More precisely, we study frequency-dependent growth in an infinite haploid population structured into a finite number of classes such that individuals in each class contribute to a given subset of classes from one time step to the next. These contributions take the form of generalized fecundity parameters with perturbations of order 1 / N that depends on the class frequencies of each type and the type frequencies. Moreover, they satisfy some mild conditions that ensure mixing in the long run. The dynamics in the limit as [Formula: see text] with N time steps as unit of time is considered first in the case of a single type, and second in the case of multiple types. The main result is that the type frequencies as [Formula: see text] obey the replicator equation with instantaneous growth rates for the different types that depend only on instantaneous equilibrium class frequencies and reproductive values. An application to evolutionary game theory complemented by simulation results is presented.

摘要

在本文中,我们考虑离散时间下的类结构种群,处于弱选择极限且以选择强度的倒数作为时间单位。目的是建立一个近似离散模型的连续模型。更确切地说,我们研究一个无限单倍体种群中的频率依赖增长,该种群被结构化为有限数量的类,使得每个类中的个体从一个时间步到下一个时间步对给定的类子集有贡献。这些贡献采取广义繁殖力参数的形式,其具有依赖于每种类型的类频率和类型频率的(1 / N)阶扰动。此外,它们满足一些温和条件,以确保从长远来看的混合。首先在单一类型的情况下,然后在多种类型的情况下,考虑以(N)个时间步作为时间单位,当([公式:见正文])时极限情况下的动态。主要结果是,当([公式:见正文])时,类型频率遵循复制者方程,不同类型的瞬时增长率仅取决于瞬时平衡类频率和繁殖值。本文还给出了在进化博弈论中的一个应用,并辅以模拟结果。

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