More can be better: An analysis of single-mutant fixation probability functions under $2\times2$ games
Diogo L. Pires, Mark Broom

TL;DR
This paper analyzes how the probability of a single mutant fixing in a population varies with size in 2x2 evolutionary games, revealing that larger populations can sometimes favor mutant strategies, contrary to common assumptions.
Contribution
It provides a detailed analysis of fixation probability functions in finite populations, identifying conditions under which these functions increase with population size across various game types.
Findings
9 out of 24 games have decreasing fixation functions
12 games exhibit increasing fixation regions
Fixation functions often benefit from larger populations
Abstract
Evolutionary game theory has proved to be a powerful tool to probe the self-organisation of collective behaviour by considering frequency-dependent fitness in evolutionary processes. It has shown that the stability of a strategy depends not only on the payoffs received after each encounter but also on the population's size. Here, we study games in well-mixed finite populations by analysing the fixation probabilities of single mutants as functions of population size. We proved that 9 out of the 24 possible games always lead to monotonically decreasing functions, similarly to fixed fitness scenarios. However, fixation functions showed increasing regions under 12 distinct anti-coordination, coordination, and dominance games. Perhaps counter-intuitively, this establishes that single-mutant strategies often benefit from being in larger populations. Fixation functions that increase…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Game Theory and Applications
