Literature DB >> 30357453

Fixation probabilities for the Moran process in evolutionary games with two strategies: graph shapes and large population asymptotics.

Evandro P de Souza1, Eliza M Ferreira2, Armando G M Neves3.   

Abstract

This 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.

Keywords:  Asymptotic analysis; Birth death processes; Markov chains

Mesh:

Year:  2018        PMID: 30357453     DOI: 10.1007/s00285-018-1300-4

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  11 in total

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6.  Fixation in large populations: a continuous view of a discrete problem.

Authors:  Fabio A C C Chalub; Max O Souza
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7.  The limits of weak selection and large population size in evolutionary game theory.

Authors:  Christine Sample; Benjamin Allen
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8.  Evolution of cooperation in a particular case of the infinitely repeated prisoner's dilemma with three strategies.

Authors:  Irene Núñez Rodríguez; Armando G M Neves
Journal:  J Math Biol       Date:  2016-04-19       Impact factor: 2.259

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Authors:  David Healey; Kevin Axelrod; Jeff Gore
Journal:  Mol Syst Biol       Date:  2016-08-03       Impact factor: 11.429

10.  Fixation in finite populations evolving in fluctuating environments.

Authors:  Peter Ashcroft; Philipp M Altrock; Tobias Galla
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

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