2000
DOI: 10.1007/bf03167371
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Multiple travelling waves in evolutionary game dynamics

Abstract: Spatial models for the spread of favourable alleles have a distinguished place in the history of mathematical genetics. The realisation that reaction-diffusion equations often have travelling-wave solutions has been influential in the analysis of many practical problems as well as posing interesting theoretical problems. More recently, these same ideas have been successfully applied to evolutionary game dynamics, both in biological and economic contexts. Classically, if there are two alleles (or strategies) th… Show more

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Cited by 3 publications
(4 citation statements)
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“…• Evolutionary game theory: In this field, one seeks to understand how players change their strategies depending on those of the other players [54,91,56,118,22]. When considering the possible spatial diffusion of the players, reaction-diffusion equations arise naturally, [53,55]. • Neuroscience: traveling wave phenomena also arise when modeling nerve impulses [28].…”
Section: A Model Problemmentioning
confidence: 99%
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“…• Evolutionary game theory: In this field, one seeks to understand how players change their strategies depending on those of the other players [54,91,56,118,22]. When considering the possible spatial diffusion of the players, reaction-diffusion equations arise naturally, [53,55]. • Neuroscience: traveling wave phenomena also arise when modeling nerve impulses [28].…”
Section: A Model Problemmentioning
confidence: 99%
“…More precisely, we will minimize various functionals J, depending on the controls objetive and we will also consider different classes of admissible controls A. All the experiments will take the abstract form of min a∈A J(u a ; u 0 ) (55) where u a solves:…”
Section: 2mentioning
confidence: 99%
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“…For example, in evolutionary game theory, a two-strategy game (see [16,17,18]) , here u stands for the proportion of players using one strategy. The replicator dynamics (see [19]) with spatial diffusion of coordination game leads to bistable nonlinearities [4,5]:…”
Section: Motivationmentioning
confidence: 99%