Effective growth rates in a periodically changing environment: From mutation to invasion

IF 1.2 2区 数学 Q3 STATISTICS & PROBABILITY Stochastic Processes and their Applications Pub Date : 2025-06-01 Epub Date: 2025-02-08 DOI:10.1016/j.spa.2025.104598
Manuel Esser , Anna Kraut
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Abstract

We consider a stochastic individual-based model of adaptive dynamics for an asexually reproducing population with mutation, with linear birth and death rates, as well as a density-dependent competition. To depict repeating changes of the environment, all of these parameters vary over time as piecewise constant and periodic functions, on an intermediate time-scale between those of stabilisation of the resident population (fast) and exponential growth of mutants (slow). Studying the growth of emergent mutants and their invasion of the resident population in the limit of small mutation rates for a simultaneously diverging population size, we are able to determine their effective growth rates. We describe this growth as a mesoscopic scaling-limit of the orders of population sizes, where we observe an averaging effect of the invasion fitness. Moreover, we prove a limit result for the sequence of consecutive macroscopic resident traits that is similar to the so-called trait-substitution-sequence.
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周期性变化环境中的有效增长率:从突变到入侵
我们考虑了一个随机的基于个体的适应动力学模型,该模型适用于具有突变的无性繁殖种群,具有线性的出生率和死亡率,以及密度依赖的竞争。为了描述环境的重复变化,所有这些参数随着时间的推移作为分段常数和周期函数而变化,在常住种群稳定(快)和突变体指数增长(慢)之间的中间时间尺度上。研究突发性突变体在种群规模同时分散的情况下,在小突变率限制下的生长及其对常住种群的入侵,可以确定突发性突变体的有效生长速率。我们将这种增长描述为种群大小数量级的介观尺度限制,在那里我们观察到入侵适应度的平均效应。此外,我们还证明了连续宏观居住性状序列的一个极限结果,这个极限结果类似于所谓的性状替换序列。
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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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