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Main Authors: Siri-Jégousse, Arno, Wences, Alejandro Hernández
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2405.10193
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author Siri-Jégousse, Arno
Wences, Alejandro Hernández
author_facet Siri-Jégousse, Arno
Wences, Alejandro Hernández
contents We propose a change in focus from the prevalent paradigm based on the branching property as a tool to analyze the structure of population models, to one based on the self-similarity property, which we also introduce for the first time in the setting of measure-valued processes. By extending the well-known Lamperti transformation into the infinite dimensional setting, we were able to embed and extend known results in population genetics within the self-similarity framework: we describe the frequency process of a larger class of measure-valued SS populations in terms of general Lambda Fleming-Viot processes. Our results demonstrate the potential power of the self-similar perspective for the study of populations whose total size varies stochastically over time, and in which the reproduction dynamics of the individuals are not independent from one another but are modulated by the total size of the population, allowing for more complex and realistic models. We also uncover a new duality relation between measure-valued processes and Lambda-coalescents which extends the well-known duality relation between Lambda Fleming-Viot processes and Lambda coalescents.
format Preprint
id arxiv_https___arxiv_org_abs_2405_10193
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Lamperti transformation in the infinite-dimensional setting, self-similar populations, and coalescents
Siri-Jégousse, Arno
Wences, Alejandro Hernández
Probability
92D25, 60G18, 60J68
We propose a change in focus from the prevalent paradigm based on the branching property as a tool to analyze the structure of population models, to one based on the self-similarity property, which we also introduce for the first time in the setting of measure-valued processes. By extending the well-known Lamperti transformation into the infinite dimensional setting, we were able to embed and extend known results in population genetics within the self-similarity framework: we describe the frequency process of a larger class of measure-valued SS populations in terms of general Lambda Fleming-Viot processes. Our results demonstrate the potential power of the self-similar perspective for the study of populations whose total size varies stochastically over time, and in which the reproduction dynamics of the individuals are not independent from one another but are modulated by the total size of the population, allowing for more complex and realistic models. We also uncover a new duality relation between measure-valued processes and Lambda-coalescents which extends the well-known duality relation between Lambda Fleming-Viot processes and Lambda coalescents.
title The Lamperti transformation in the infinite-dimensional setting, self-similar populations, and coalescents
topic Probability
92D25, 60G18, 60J68
url https://arxiv.org/abs/2405.10193