Concentration in selection-mutation models: error estimates and asymptotic expansions

Fuente: arXiv
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Auteurs principaux: Guinet, Caroline, Mirrahimi, Sepideh, Roquejoffre, Jean-Michel
Format: Preprint
Publié: 2025
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author Guinet, Caroline
Mirrahimi, Sepideh
Roquejoffre, Jean-Michel
author_facet Guinet, Caroline
Mirrahimi, Sepideh
Roquejoffre, Jean-Michel
contents In this paper, we study an integro-differential equation which describes the evolutionary dynamics of a population structured by a phenotypic trait. This population undergoes asexual reproduction, competition, selection, and mutation. We provide an asymptotic analysis of the model, assuming that the mutations have small effects. A standard approach for the analysis of the qualitative properties of the solutions of such an equation is to apply a logarithmic transformation, which yields a Hamilton-Jacobi equation with constraint. When the reproduction term is a concave function of the trait, it has been established that the solution is classical. We rigorously derive a first-order asymptotic expansion of the solution. This expansion allows us to approximate the moments of the phenotypic density. This result establishes a connection between the approximations of the phenotypic density obtained via the Hamilton-Jacobi approach and relevant biological quantities, which are more suitable from a modeling perspective.
format Preprint
id arxiv_https___arxiv_org_abs_2511_12141
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Concentration in selection-mutation models: error estimates and asymptotic expansions
Guinet, Caroline
Mirrahimi, Sepideh
Roquejoffre, Jean-Michel
Analysis of PDEs
35B25, 35C20, 35F21, 35Q92, 92D15
In this paper, we study an integro-differential equation which describes the evolutionary dynamics of a population structured by a phenotypic trait. This population undergoes asexual reproduction, competition, selection, and mutation. We provide an asymptotic analysis of the model, assuming that the mutations have small effects. A standard approach for the analysis of the qualitative properties of the solutions of such an equation is to apply a logarithmic transformation, which yields a Hamilton-Jacobi equation with constraint. When the reproduction term is a concave function of the trait, it has been established that the solution is classical. We rigorously derive a first-order asymptotic expansion of the solution. This expansion allows us to approximate the moments of the phenotypic density. This result establishes a connection between the approximations of the phenotypic density obtained via the Hamilton-Jacobi approach and relevant biological quantities, which are more suitable from a modeling perspective.
title Concentration in selection-mutation models: error estimates and asymptotic expansions
topic Analysis of PDEs
35B25, 35C20, 35F21, 35Q92, 92D15
url https://arxiv.org/abs/2511.12141