Newton Methods for Mean Field Games: A Numerical Study

Elisabetta Carlini; Ahmad Zorkot

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arXiv · 2512.12752

Newton Methods for Mean Field Games: A Numerical Study

Elisabetta Carlini·Ahmad Zorkot

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Abstract

We address the numerical solution of second-order Mean Field Game problems through Newton iterations in infinite dimensions, introduced in [14], where quadratic convergence of the method was rigorously established. Building upon this theoretical framework, we develop new numerical discretization techniques, including both a finite difference and a semi-Lagrangian scheme, that enable an effective computational implementation of the infinite-dimensional iterations. The proposed methods are tested on several benchmark problems, and the resulting numerical experiments demonstrate their robustness, accuracy, and efficiency. A comparative analysis between the two schemes and existing approaches from the literature is also presented, highlighting the potential of Newton-based solvers for MFG systems.

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Elisabetta Carlini, Ahmad Zorkot. 2025-12-14. Newton Methods for Mean Field Games: A Numerical Study. https://arxiv.org/abs/2512.12752

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