Convergence of Potential Mean-Field Games via Lyapunov Methods
Analysis of PDEs
2026-04-21 v1 Optimization and Control
Abstract
We consider discounted infinite-horizon potential mean-field games (MFGs) on the -dimensional torus. Without imposing monotonicity assumptions, we prove that every weak limit point of a time-dependent equilibrium, as time tends to infinity, is a stationary equilibrium. As a consequence, equilibria converge whenever the stationary solution is unique. The short proof is based on a novel Lyapunov functional for the time-dependent MFG system. We also provide a new uniqueness criterion for stationary equilibria. Finally, we apply our results to the subcritical Kuramoto MFG studied by Carmona, Cormier, and Soner, showing that every equilibrium converges to the incoherent solution.
Cite
@article{arxiv.2604.17639,
title = {Convergence of Potential Mean-Field Games via Lyapunov Methods},
author = {Felix Höfer},
journal= {arXiv preprint arXiv:2604.17639},
year = {2026}
}