English

Self-similar intermediate asymptotics for first-order mean field games

Analysis of PDEs 2024-04-04 v1 Optimization and Control

Abstract

We study the intermediate asymptotic behavior of solutions to the first-order mean field games system with a local coupling, when the initial density is a compactly supported function on the real line, and the coupling is of power type. Addressing a question that was left open in arXiv:2308.00314, we prove that the solutions converge to the self-similar profile. We proceed by analyzing a continuous rescaling of the solution, and identifying an appropriate Lyapunov functional. We identify a critical value for the parameter of the coupling, which determines the qualitative behavior of the functional, and the well-posedness of the infinite horizon system. Accordingly, we also establish, in the subcritical and critical cases, a second convergence result which characterizes the behavior of the full solution as the time horizon approaches infinity. We also prove the corresponding results for the mean field planning problem. A large part of our analysis and methodology apply just as well to arbitrary dimensions. As such, this work is a major step towards settling these questions in the higher-dimensional setting.

Keywords

Cite

@article{arxiv.2404.02623,
  title  = {Self-similar intermediate asymptotics for first-order mean field games},
  author = {Sebastian Munoz},
  journal= {arXiv preprint arXiv:2404.02623},
  year   = {2024}
}
R2 v1 2026-06-28T15:42:51.446Z