A uniqueness result for finite-state mean field games with non-separable Hamiltonian
Optimization and Control
2026-04-20 v1 Probability
Abstract
We study a class of continuous-time mean field games on a finite state space with transition rates depending on the population distribution, leading to a non-separable Hamiltonian. In this setting, classical Lasry--Lions monotonicity arguments do not apply directly. We establish a new uniqueness result on arbitrary time horizons under a combination of strong monotonicity assumptions on the costs and quantitative bounds on the interaction term in the dynamics.
Keywords
Cite
@article{arxiv.2607.22537,
title = {A uniqueness result for finite-state mean field games with non-separable Hamiltonian},
author = {Alekos Cecchin and Luca Di Persio and Nicola Fraccarolo},
journal= {arXiv preprint arXiv:2607.22537},
year = {2026}
}