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First-Order Mean Field Games with Time-Measurable and $C ^{1,1}$ Hamiltonians: Analysis and Approximation

Elisabetta Carlini, Valentina Coscetti, Francisco J. Silva · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.28335 · cited by 0 works (OpenAlex) · open-access PDF

Russian

Мы вводим и анализируем численную структуру для класса первого порядка, нелокальных систем Mean Field Game (MFG) с двумя источниками низкой регулярности: данные, зависящие от времени, являются просто измеримыми, а Hamiltonian является только класса $C^{1,1}$ по отношению к переменным темпа. Предложенный метод сочетает в себе полу-Lagrangian приближение точного уравнения Хамильтона-Якоби-Беллмана с аргументами от системы Lagrange-Galerkin discretization уравнения непрерывности. Временная измеримость обрабатывается путем среднего измерения данных по интервалам временной сети и с использованием теории стабильности $L^1$-вискозитета решений. Ограниченная регуляр

Machine translation (Meta M2M100); the English original follows.

Abstract

We introduce and analyze a numerical framework for a class of first-order, non-local Mean Field Game (MFG) systems with two sources of low regularity: the time-dependent data are merely measurable, and the Hamiltonian is only of class $C^{1,1}$ with respect to the momentum variable. The proposed method combines a semi-Lagrangian approximation of the Hamilton--Jacobi--Bellman equation with a Lagrange--Galerkin discretization of the continuity equation. Temporal measurability is handled by averaging the data over the time-grid intervals and using the stability theory of $L^1$-viscosity solutions. The limited regularity of the Hamiltonian is addressed through arguments from nonsmooth analysis, based in particular on Clarke's generalized differential calculus. We prove that the discrete solutions converge, up to some subsequence, to a solution of the MFG system. As a consequence, the numerical approximation also provides a constructive existence result. Under a monotonicity assumption on the coupling terms, we show that the solution to the MFG system is unique, implying the convergence of the whole sequence of discrete solutions. Finally, numerical experiments in one and two spatial dimensions illustrate the robustness of the method, including a linear--quadratic example with a running cost that is discontinuous in time and for which we compute an exact solution.

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Topics: Discretization, Mathematics, Applied mathematics, Monotonic function, Mean field theory, Constructive

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