Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2008-11-13
Journal of Theoretical Biology 258, 614 (2009)
Biology
Quantitative Biology
Populations and Evolution
version 2 is the final published version
Scientific paper
10.1016/j.jtbi.2009.02.010
In evolutionary games the fitness of individuals is not constant but depends on the relative abundance of the various strategies in the population. Here we study general games among n strategies in populations of large but finite size. We explore stochastic evolutionary dynamics under weak selection, but for any mutation rate. We analyze the frequency dependent Moran process in well-mixed populations, but almost identical results are found for the Wright-Fisher and Pairwise Comparison processes. Surprisingly simple conditions specify whether a strategy is more abundant on average than 1/n, or than another strategy, in the mutation-selection equilibrium. We find one condition that holds for low mutation rate and another condition that holds for high mutation rate. A linear combination of these two conditions holds for any mutation rate. Our results allow a complete characterization of n*n games in the limit of weak selection.
Antal Tibor
Nowak Martin A.
Ohtsuki Hisashi
Tarnita Corina E.
Traulsen Arne
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