A Semi-Lagrangian Method for Solving State Constraint Mean Field Games in Macroeconomics

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Authors: Fabio Camilli, Qing Tang, Y. Zhou
Cited by: 0
References: 33

Abstract

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.

Fields of Study & Subjects

Economic theories and models

Publication details

Journal / source
SIAM Journal on Control and Optimization
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Volume
64
Issue
5
Pages
3443–3469
Publication date
4 September 2026
Language
EN