On the asymptotic behavior of the solutions to the replicator equation
Georgy P Karev, Artem S Novozhilov, and Faina S Berezovskaya

TL;DR
This paper introduces novel analytical methods for studying the asymptotic behavior of solutions to the replicator equation, reducing complex high-dimensional problems to simpler escort systems and analyzing their stability properties.
Contribution
It applies singular value decomposition and Newton diagram methods to analyze replicator equations with low-rank interaction matrices, providing new insights into their asymptotic states.
Findings
Full analysis of rank 1 interaction matrices and conditions for polymorphic equilibrium.
Demonstration of a stable equilibrium on the 1-skeleton for rank 2 systems.
Reduction of high-dimensional problems to lower-dimensional escort systems.
Abstract
Selection systems and the corresponding replicator equations model the evolution of replicators with a high level of abstraction. In this paper we apply novel methods of analysis of selection systems to the replicator equations. To be suitable for the suggested algorithm the interaction matrix of the replicator equation should be transformed; in particular the standard singular value decomposition allows us to rewrite the replicator equation in a convenient form. The original -dimensional problem is reduced to the analysis of asymptotic behavior of the solutions to the so-called escort system, which in some important cases can be of significantly smaller dimension than the original system. The Newton diagram methods are applied to study the asymptotic behavior of the solutions to the escort system, when interaction matrix has rank 1 or 2. A general replicator equation with the…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models
