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

Fuente: arXiv
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Main Authors: Camilli, Fabio, Tang, Qing, Zhou, Yong-shen
Format: Preprint
Published: 2025
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author Camilli, Fabio
Tang, Qing
Zhou, Yong-shen
author_facet Camilli, Fabio
Tang, Qing
Zhou, Yong-shen
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2510_00768
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A semi-Lagrangian method for solving state constraint Mean Field Games in Macroeconomics
Camilli, Fabio
Tang, Qing
Zhou, Yong-shen
Optimization and Control
Numerical Analysis
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.
title A semi-Lagrangian method for solving state constraint Mean Field Games in Macroeconomics
topic Optimization and Control
Numerical Analysis
url https://arxiv.org/abs/2510.00768