Entropy and the arrow of time in population dynamics

Detalhes bibliográficos
Autor(a) principal: Costa-Cabanas, Diogo
Data de Publicação: 2023
Outros Autores: Chalub, Fábio A. C. C., Souza, Max O.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/155248
Resumo: E-26/210.440/2019 ). We also thank an anonymous referee and the managing editor for many valuable comments that helped us to improve the paper. Publisher Copyright: © 2022 The Author(s)
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spelling Entropy and the arrow of time in population dynamicsEntropyEpistasisFundamental symmetriesMoran processTime-irreversible processesStatistics and ProbabilityModelling and SimulationBiochemistry, Genetics and Molecular Biology(all)Applied MathematicsE-26/210.440/2019 ). We also thank an anonymous referee and the managing editor for many valuable comments that helped us to improve the paper. Publisher Copyright: © 2022 The Author(s)The concept of entropy in statistical physics is related to the existence of irreversible macroscopic processes. In this work, we explore a recently introduced entropy formula for a class of stochastic processes with more than one absorbing state that is extensively used in population genetics models. We will consider the Moran process as a paradigm for this class, and will extend our discussion to other models outside this class. We will also discuss the relation between non-extensive entropies in physics and epistasis (i.e., when the effects of different alleles are not independent) and the role of symmetries in population genetic models.DM - Departamento de MatemáticaCMA - Centro de Matemática e AplicaçõesRUNCosta-Cabanas, DiogoChalub, Fábio A. C. C.Souza, Max O.2023-07-13T22:18:16Z2023-012023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8application/pdfhttp://hdl.handle.net/10362/155248eng0303-2647PURE: 66129453https://doi.org/10.1016/j.biosystems.2022.104817info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:37:47Zoai:run.unl.pt:10362/155248Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:55:59.702194Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Entropy and the arrow of time in population dynamics
title Entropy and the arrow of time in population dynamics
spellingShingle Entropy and the arrow of time in population dynamics
Costa-Cabanas, Diogo
Entropy
Epistasis
Fundamental symmetries
Moran process
Time-irreversible processes
Statistics and Probability
Modelling and Simulation
Biochemistry, Genetics and Molecular Biology(all)
Applied Mathematics
title_short Entropy and the arrow of time in population dynamics
title_full Entropy and the arrow of time in population dynamics
title_fullStr Entropy and the arrow of time in population dynamics
title_full_unstemmed Entropy and the arrow of time in population dynamics
title_sort Entropy and the arrow of time in population dynamics
author Costa-Cabanas, Diogo
author_facet Costa-Cabanas, Diogo
Chalub, Fábio A. C. C.
Souza, Max O.
author_role author
author2 Chalub, Fábio A. C. C.
Souza, Max O.
author2_role author
author
dc.contributor.none.fl_str_mv DM - Departamento de Matemática
CMA - Centro de Matemática e Aplicações
RUN
dc.contributor.author.fl_str_mv Costa-Cabanas, Diogo
Chalub, Fábio A. C. C.
Souza, Max O.
dc.subject.por.fl_str_mv Entropy
Epistasis
Fundamental symmetries
Moran process
Time-irreversible processes
Statistics and Probability
Modelling and Simulation
Biochemistry, Genetics and Molecular Biology(all)
Applied Mathematics
topic Entropy
Epistasis
Fundamental symmetries
Moran process
Time-irreversible processes
Statistics and Probability
Modelling and Simulation
Biochemistry, Genetics and Molecular Biology(all)
Applied Mathematics
description E-26/210.440/2019 ). We also thank an anonymous referee and the managing editor for many valuable comments that helped us to improve the paper. Publisher Copyright: © 2022 The Author(s)
publishDate 2023
dc.date.none.fl_str_mv 2023-07-13T22:18:16Z
2023-01
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/155248
url http://hdl.handle.net/10362/155248
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0303-2647
PURE: 66129453
https://doi.org/10.1016/j.biosystems.2022.104817
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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