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Discrete Approximation Of Stationary Mean Field Games

Analysis of PDEs 2021-09-28 v1

Abstract

In this paper, we focus on stationary (ergodic) mean-field games (MFGs). These games arise in the study of the long-time behavior of finite-horizon MFGs. Motivated by a prior scheme for Hamilton-Jacobi equations introduced in Aubry-Mather's theory, we introduce a discrete approximation to stationary MFGs. Relying on Kakutani's fixed-point theorem, we prove the existence and uniqueness (up to additive constant) of solutions to the discrete problem. Moreover, we show that the solutions to the discrete problem converge, uniformly in the nonlocal case and weakly in the local case, to the classical solutions of the stationary problem.

Keywords

Cite

@article{arxiv.2109.12611,
  title  = {Discrete Approximation Of Stationary Mean Field Games},
  author = {Tigran Bakaryan and Diogo Gomes and Héctor Sánchez Morgado},
  journal= {arXiv preprint arXiv:2109.12611},
  year   = {2021}
}

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30 pages