Mean-field games for harvesting problems: Uniqueness, long-time behaviour and weak KAM theory

Fuente: arXiv
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Main Authors: Kobeissi, Ziad, Mazari-Fouquer, Idriss, Ruiz-Balet, Domènec
Format: Preprint
Published: 2024
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_version_ 1866914830591459328
author Kobeissi, Ziad
Mazari-Fouquer, Idriss
Ruiz-Balet, Domènec
author_facet Kobeissi, Ziad
Mazari-Fouquer, Idriss
Ruiz-Balet, Domènec
contents The goal of this paper is to study a Mean Field Game (MFG) system stemming from the harvesting of resources. Modelling the latter through a reaction-diffusion equation and the harvesters as competing rational agents, we are led to a non-local (in time and space) MFG system that consists of three equations, the study of which is quite delicate. The main focus of this paper is on the derivation of analytical results (e.g existence, uniqueness) and of long time behaviour (here, convergence to the ergodic system). We provide some explicit solutions to this ergodic system.
format Preprint
id arxiv_https___arxiv_org_abs_2406_06057
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mean-field games for harvesting problems: Uniqueness, long-time behaviour and weak KAM theory
Kobeissi, Ziad
Mazari-Fouquer, Idriss
Ruiz-Balet, Domènec
Analysis of PDEs
Optimization and Control
The goal of this paper is to study a Mean Field Game (MFG) system stemming from the harvesting of resources. Modelling the latter through a reaction-diffusion equation and the harvesters as competing rational agents, we are led to a non-local (in time and space) MFG system that consists of three equations, the study of which is quite delicate. The main focus of this paper is on the derivation of analytical results (e.g existence, uniqueness) and of long time behaviour (here, convergence to the ergodic system). We provide some explicit solutions to this ergodic system.
title Mean-field games for harvesting problems: Uniqueness, long-time behaviour and weak KAM theory
topic Analysis of PDEs
Optimization and Control
url https://arxiv.org/abs/2406.06057