Strategic geometric graphs through mean field games

Fuente: arXiv
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Hauptverfasser: Bertucci, Charles, Rakotomalala, Matthias
Format: Preprint
Veröffentlicht: 2024
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_version_ 1866918010053197824
author Bertucci, Charles
Rakotomalala, Matthias
author_facet Bertucci, Charles
Rakotomalala, Matthias
contents We exploit the structure of geometric graphs on Riemannian manifolds to analyze strategic dynamic graphs at the limit, when the number of nodes tends to infinity. This framework allows to preserve intrinsic geometrical information about the limiting graph structure, such as the Ollivier curvature. After introducing the setting, we derive a mean field game system, which models a strategic equilibrium between the nodes. It has the usual structure with the distinction of being set on a manifold. Finally, we establish existence and uniqueness of solutions to the system when the Hamiltonian is quadratic for a class of non-necessarily compact Riemannian manifolds, referred to as manifolds of bounded geometry.
format Preprint
id arxiv_https___arxiv_org_abs_2404_13975
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Strategic geometric graphs through mean field games
Bertucci, Charles
Rakotomalala, Matthias
Analysis of PDEs
Probability
We exploit the structure of geometric graphs on Riemannian manifolds to analyze strategic dynamic graphs at the limit, when the number of nodes tends to infinity. This framework allows to preserve intrinsic geometrical information about the limiting graph structure, such as the Ollivier curvature. After introducing the setting, we derive a mean field game system, which models a strategic equilibrium between the nodes. It has the usual structure with the distinction of being set on a manifold. Finally, we establish existence and uniqueness of solutions to the system when the Hamiltonian is quadratic for a class of non-necessarily compact Riemannian manifolds, referred to as manifolds of bounded geometry.
title Strategic geometric graphs through mean field games
topic Analysis of PDEs
Probability
url https://arxiv.org/abs/2404.13975