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dc.creatorSouza, Evandro P. de-
dc.creatorFerreira, Eliza M.-
dc.creatorNeves, Armando G. M.-
dc.date.accessioned2019-04-01T12:03:57Z-
dc.date.available2019-04-01T12:03:57Z-
dc.date.issued2019-03-
dc.identifier.citationSOUZA, E. P. de; FERREIRA, E. M.; NEVES, A. G. M. Fixation probabilities for the Moran process in evolutionary games with two strategies: graph shapes and large population asymptotics. Journal of Mathematical Biology, New York, v. 78, n. 4, p. 1033-1065, Mar. 2019.pt_BR
dc.identifier.urihttps://link.springer.com/article/10.1007%2Fs00285-018-1300-4pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/33378-
dc.description.abstractThis paper is based on the complete classification of evolutionary scenarios for the Moran process with two strategies given by Taylor et al. (Bull Math Biol 66(6):1621–1644, 2004. https://doi.org/10.1016/j.bulm.2004.03.004). Their classification is based on whether each strategy is a Nash equilibrium and whether the fixation probability for a single individual of each strategy is larger or smaller than its value for neutral evolution. We improve on this analysis by showing that each evolutionary scenario is characterized by a definite graph shape for the fixation probability function. A second class of results deals with the behavior of the fixation probability when the population size tends to infinity. We develop asymptotic formulae that approximate the fixation probability in this limit and conclude that some of the evolutionary scenarios cannot exist when the population size is large.pt_BR
dc.languageen_USpt_BR
dc.publisherSpringerpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceJournal of Mathematical Biologypt_BR
dc.subjectMarkov chainspt_BR
dc.subjectAsymptotic analysispt_BR
dc.subjectBirth death processespt_BR
dc.subjectCadeias de Markovpt_BR
dc.subjectAnálise assintóticapt_BR
dc.subjectProcessos de morte de nascimentopt_BR
dc.titleFixation probabilities for the Moran process in evolutionary games with two strategies: graph shapes and large population asymptoticspt_BR
dc.typeArtigopt_BR
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