Time dependent mean-field games in the superquadratic case

TL;DR

This paper develops new mathematical techniques to analyze time-dependent mean-field games with superquadratic Hamiltonians, establishing well-posedness and regularity results that extend current understanding.

Contribution

It introduces novel methods for Lipschitz estimates in superquadratic cases and proves existence of classical solutions under broad conditions.

Findings

Established Lipschitz regularity for superquadratic Hamilton-Jacobi equations

Proved well-posedness of mean-field games with superquadratic Hamiltonians

Extended the theoretical framework for superquadratic Hamilton-Jacobi equations

Abstract

We investigate time-dependent mean-field games with superquadratic Hamiltonians and a power dependence on the measure. Such problems pose substantial mathematical challenges as the key techniques used in the subquadratic case do not extend to the superquadratic setting. Because of the superquadratic structure of the Hamiltonian, Lipschitz estimates for the solutions of the Hamilton-Jacobi equation are obtained through a novel set of techniques. These explore the parabolic nature of the problem through the non-linear adjoint method. Well-posedness is proved by combining Lipschitz regularity for the Hamilton-Jacobi equation with polynomial estimates for solutions of the Fokker-Planck equation. Existence of classical solutions can then be proved under conditions depending only on the growth of the Hamiltonian and the dimension. Our results also add to the current understanding of superquadratic Hamilton-Jacobi equations.