Stirring does not make populations well mixed

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física de Partículasgl
dc.contributor.authorHerrerías Azcué, Francisco
dc.contributor.authorPérez Muñuzuri, Vicente
dc.contributor.authorGalla, Tobias
dc.date.accessioned2020-06-05T19:18:00Z
dc.date.available2020-06-05T19:18:00Z
dc.date.issued2018
dc.description.abstractIn evolutionary dynamics, the notion of a ‘well-mixed’ population is usually associated with all-to-all interactions at all times. This assumption simplifies the mathematics of evolutionary processes, and makes analytical solutions possible. At the same time the term ‘well-mixed’ suggests that this situation can be achieved by physically stirring the population. Using simulations of populations in chaotic flows, we show that in most cases this is not true: conventional well-mixed theories do not predict fixation probabilities correctly, regardless of how fast or thorough the stirring is. We propose a new analytical description in the fast-flow limit. This approach is valid for processes with global and local selection, and accurately predicts the suppression of selection as competition becomes more local. It provides a modelling tool for biological or social systems with individuals in motion.gl
dc.description.peerreviewedSIgl
dc.description.sponsorshipFHA thanks Consejo Nacional de Ciencia y Tecnología (CONACyT, Mexico) for support. VPM acknowledges support by Ministerio de Economía y Competitividad and Xunta de Galicia (MAT2015-71119-R, GPC2015/014), contributions by COST Action MP1305 and CRETUS Strategic Partnership (AGRUP2015/02)gl
dc.identifier.citationHerrerías-Azcué, F., Pérez-Muñuzuri, V. & Galla, T. Stirring does not make populations well mixed. Sci Rep 8, 4068 (2018). https://doi.org/10.1038/s41598-018-22062-wgl
dc.identifier.doi10.1038/s41598-018-22062-w
dc.identifier.essn2045-2322
dc.identifier.urihttp://hdl.handle.net/10347/22807
dc.language.isoenggl
dc.publisherNature Publishing Groupgl
dc.relation.publisherversionhttps://doi.org/10.1038/s41598-018-22062-wgl
dc.rights© The Author(s) 2018. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/gl
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPopulation dynamicsgl
dc.subjectStatistical physicsgl
dc.titleStirring does not make populations well mixedgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication693d8d1b-e7ed-40c4-a1ce-ff786d98b9f4
relation.isAuthorOfPublication.latestForDiscovery693d8d1b-e7ed-40c4-a1ce-ff786d98b9f4

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