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How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching

Using a stochastic model, we investigate the probability of fixation, and the average time taken to achieve fixation, of a mutant in a population of wild-types. We do this in a context where the environment in which the competition takes place is subject to stochastic change. Our model takes into ac...

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Detalles Bibliográficos
Autores principales: Baron, Joseph W., Galla, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882734/
https://www.ncbi.nlm.nih.gov/pubmed/29657810
http://dx.doi.org/10.1098/rsos.172176
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author Baron, Joseph W.
Galla, Tobias
author_facet Baron, Joseph W.
Galla, Tobias
author_sort Baron, Joseph W.
collection PubMed
description Using a stochastic model, we investigate the probability of fixation, and the average time taken to achieve fixation, of a mutant in a population of wild-types. We do this in a context where the environment in which the competition takes place is subject to stochastic change. Our model takes into account interactions which can involve multiple participants. That is, the participants take part in multiplayer games. We find that under certain circumstances, there are environmental switching dynamics which minimize the time that it takes for the mutants to fixate. To analyse the dynamics more closely, we develop a method by which to calculate the sojourn times for general birth–death processes in fluctuating environments.
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spelling pubmed-58827342018-04-13 How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching Baron, Joseph W. Galla, Tobias R Soc Open Sci Mathematics Using a stochastic model, we investigate the probability of fixation, and the average time taken to achieve fixation, of a mutant in a population of wild-types. We do this in a context where the environment in which the competition takes place is subject to stochastic change. Our model takes into account interactions which can involve multiple participants. That is, the participants take part in multiplayer games. We find that under certain circumstances, there are environmental switching dynamics which minimize the time that it takes for the mutants to fixate. To analyse the dynamics more closely, we develop a method by which to calculate the sojourn times for general birth–death processes in fluctuating environments. The Royal Society Publishing 2018-03-21 /pmc/articles/PMC5882734/ /pubmed/29657810 http://dx.doi.org/10.1098/rsos.172176 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Baron, Joseph W.
Galla, Tobias
How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching
title How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching
title_full How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching
title_fullStr How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching
title_full_unstemmed How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching
title_short How successful are mutants in multiplayer games with fluctuating environments? Sojourn times, fixation and optimal switching
title_sort how successful are mutants in multiplayer games with fluctuating environments? sojourn times, fixation and optimal switching
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882734/
https://www.ncbi.nlm.nih.gov/pubmed/29657810
http://dx.doi.org/10.1098/rsos.172176
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