A Total Variation Flow Scheme for Ergodic Mean Field Games

Fuente: arXiv
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Hauptverfasser: Kalise, Dante, Oliviero, Alessio, Ruiz-Balet, Domènec
Format: Preprint
Veröffentlicht: 2024
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author Kalise, Dante
Oliviero, Alessio
Ruiz-Balet, Domènec
author_facet Kalise, Dante
Oliviero, Alessio
Ruiz-Balet, Domènec
contents Motivated by recent developments in mean-field games in ecology, in this paper we introduce a connection between the best response dynamics in evolutionary game theory, the minimization of the highest income of a game, and minimizing movement schemes. The aim of this work is to develop a variational approach to compute solutions of first order ergodic mean-field games that may not possess a priori a variational structure. The study is complemented by a discussion and successful implementation of the algorithms, and comparisons between them in a variety of cases
format Preprint
id arxiv_https___arxiv_org_abs_2411_07331
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Total Variation Flow Scheme for Ergodic Mean Field Games
Kalise, Dante
Oliviero, Alessio
Ruiz-Balet, Domènec
Optimization and Control
Motivated by recent developments in mean-field games in ecology, in this paper we introduce a connection between the best response dynamics in evolutionary game theory, the minimization of the highest income of a game, and minimizing movement schemes. The aim of this work is to develop a variational approach to compute solutions of first order ergodic mean-field games that may not possess a priori a variational structure. The study is complemented by a discussion and successful implementation of the algorithms, and comparisons between them in a variety of cases
title A Total Variation Flow Scheme for Ergodic Mean Field Games
topic Optimization and Control
url https://arxiv.org/abs/2411.07331