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Pré-Publication, Document De Travail Année : 2024

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

Résumé

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.
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Dates et versions

hal-04609025 , version 1 (12-06-2024)

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  • HAL Id : hal-04609025 , version 1

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Ziad Kobeissi, Idriss Mazari, Domènec Ruiz-Balet. Mean-field games for harvesting problems: Uniqueness, long-time behaviour and weak KAM theory. 2024. ⟨hal-04609025⟩
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