Evidence map›Paper›PMID 30056505›Full record

ArticleJournal of mathematical biology2019

Extrapolating weak selection in evolutionary games.

Zhuoqun Wang, Rick Durrett

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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. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Zhuoqun WangNanjing University, Nanjing, China.
Rick DurrettDuke University, Durham, NC, USA. rtd@math.duke.edu.

Funding

National Science Foundation DMS 1614838
6 · The paper itself

Abstract

This work is inspired by a 2013 paper from Arne Traulsen's lab at the Max Plank Institute for Evolutionary Biology (Wu et al. in PLoS Comput Biol 9:e1003381, 2013). They studied evolutionary games when the mutation rate is so small that each mutation goes to fixation before the next one occurs. It has been shown that for [Formula: see text] games the ranking of the strategies does not change as strength of selection is increased (Wu et al. in Phys Rev 82:046106, 2010). The point of the 2013 paper is that when there are three or more strategies the ordering can change as selection is increased. Wu et al. (2013) did numerical computations for a fixed population size N. Here, we will instead let the strength of selection [Formula: see text] where c is fixed and let [Formula: see text] to obtain formulas for the invadability probabilities [Formula: see text] that determine the rankings. These formulas, which are integrals on [0, 1], are intractable calculus problems, but can be easily evaluated numerically. Here, we use them to derive simple formulas for the ranking order when c is small or c is large.

Indexed as

Biological EvolutionModels, GeneticComputational BiologyComputer SimulationGame TheoryGenetics, PopulationMarkov ChainsMathematical ConceptsMutationProbabilitySelection, Genetic91A2292D25

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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.