title: Extreme Selection Unifies Evolutionary Game Dynamics in Finite and Infinite Populations.
abstract: We show that when selection is extreme-the fittest strategy always reproduces or is imitated-the unequivalence between the possible evolutionary game scenarios in finite and infinite populations resolves, in the sense that the three generic outcomes-dominance, coexistence, and mutual exclusion-emerge in well-mixed populations of any size. We consider the simplest setting of a 2-player-2-strategy symmetric game and the two most common microscopic definitions of strategy spreading-the frequency-dependent Moran process and the imitation process by pairwise comparison-both in the case allowing any intensity of selection. We show that of the seven different invasion and fixation scenarios that are generically possible in finite populations-fixation being more or less likely to occur and rapid compared to the neutral game-the three that are possible in large populations are the same three that occur for sufficiently strong selection: (1) invasion and fast fixation of one strategy; (2) mutual invasion and slow fixation of one strategy; (3) no invasion and no fixation. Moreover (and interestingly), in the limit of extreme selection 2 becomes mutual invasion and no fixation, a case not possible for finite intensity of selection that better corresponds to the deterministic case of coexistence. In the extreme selection limit, we also derive the large population deterministic limit of the two considered stochastic processes.
authors.affiliation: Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Via Ponzio 34/5, 20133, Milano, Italy.
authors.forename: Fabio
authors.initials: F
authors.lastname: Della Rossa
authors.affiliation: Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Via Ponzio 34/5, 20133, Milano, Italy. fabio.dercole@polimi.it.
authors.forename: Fabio
authors.identifier: 0000-0001-9256-0651
authors.initials: F
authors.lastname: Dercole
authors.affiliation: Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Via Ponzio 34/5, 20133, Milano, Italy.
authors.forename: Cristina
authors.initials: C
authors.lastname: Vicini
mesh_terms: D005075:Biological Evolution; D005716:Game Theory; D055641:Mathematical Concepts; D008954:Models, Biological; D011157:Population Dynamics; D012641:Selection, Genetic
keywords: Evolutionary game; Fixation; Imitation; Invasion; Moran process; Pairwise comparison; Random walk; Strong selection