Evidence map›Paper›PMID 30357453›Full record

ArticleJournal of mathematical biology2019

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

Evandro P de Souza, Eliza M Ferreira, Armando G M Neves

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Article in Journal of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Evandro P de SouzaDepartamento de Matemática, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Eliza M FerreiraDepartamento de Ciências Exatas, Universidade Federal de Lavras, Lavras, Brazil.
Armando G M NevesDepartamento de Matemática, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. aneves@mat.ufmg.br.

Funding

Fundação de Apoio à Pesquisa de Minas Gerais CEX - APQ-02909-14
6 · The paper itself

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.

Indexed as

Biological EvolutionGame TheoryComputational BiologyGenetic FitnessMarkov ChainsMathematical ConceptsModels, GeneticPopulation DensityProbabilitySelection, GeneticStochastic ProcessesAsymptotic analysisBirth death processesMarkov chains

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.