Replicator dynamics as the large population limit of a discrete moran process in the weak selection regime: A proof <i>via</i> eulerian specification

We study the large population limit of a multi-strategy discrete-time Moran process in the weak selection regime. We show that the replicator dynamics is interpreted as the large-population limit of the Moran process. This result is obtained by interpreting the discrete process in its Eulerian specification, proving a compactness result in the Wasserstein space of probability measures for the law of the proportions of strategies, and passing to the limit in the continuity equation that describes the evolution of the proportions.

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Publication Details

Journal
ESAIM Control Optimisation and Calculus of Variations
Published
2025-01-01
DOI
https://doi.org/10.1051/cocv/2025058
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
0.00

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article

Replicator dynamics as the large population limit of a discrete moran process in the weak selection regime: A proof via eulerian specification

Gianluca Orlando, Marco Morandotti
ESAIM Control Optimisation and Calculus of Variations
Evolutionary Game Theory and Cooperation
article

Replicator dynamics as the large population limit of a discrete moran process in the weak selection regime: A proof via eulerian specification

Gianluca Orlando, Marco Morandotti
article en

Abstract

We study the large population limit of a multi-strategy discrete-time Moran process in the weak selection regime. We show that the replicator dynamics is interpreted as the large-population limit of the Moran process. This result is obtained by interpreting the discrete process in its Eulerian specification, proving a compactness result in the Wasserstein space of probability measures for the law of the proportions of strategies, and passing to the limit in the continuity equation that describes the evolution of the proportions.

ESAIM Control Optimisation and Calculus of VariationsVol. 31
Politecnico di Torino (IT), Polytechnic University of Bari (IT)
Dipartimenti di Eccellenza, Ministero dell'Università e della Ricerca, Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni
Openalex Percentile: Top 80%
Evolutionary Game Theory and Cooperation
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