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arXiv · 2510.00768

A semi-Lagrangian method for solving state constraint Mean Field Games in Macroeconomics

Fabio Camilli·Qing Tang·Yong-shen Zhou
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Abstract

We study continuous-time heterogeneous agent models cast as Mean Field Games, in the Aiyagari-Bewley-Huggett framework. The model couples a Hamilton-Jacobi-Bellman equation for individual optimization with a Fokker-Planck-Kolmogorov equation for the wealth distribution. We establish a comparison principle for constrained viscosity solutions of the HJB equation and propose a semi-Lagrangian (SL) scheme for its numerical solution, proving convergence via the Barles-Souganidis method. A policy iteration algorithm handles state constraints, and a dual SL scheme is used for the FPK equation. Numerical methods are presented in a fully discrete, implementable form.

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Fabio Camilli, Qing Tang, Yong-shen Zhou. 2025-10-01. A semi-Lagrangian method for solving state constraint Mean Field Games in Macroeconomics. https://arxiv.org/abs/2510.00768

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