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Regularization of Stationary Second-Order Mean Field Game Partial Differential Inclusions

Osborne, Yohance AP; Smears, Iain; (2025) Regularization of Stationary Second-Order Mean Field Game Partial Differential Inclusions. SIAM Journal on Mathematical Analysis , 57 (5) pp. 5189-5215. 10.1137/24M1686401. Green open access

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Abstract

Mean field Game (MFG) Partial Differential Inclusions (PDI) are generalizations of the system of Partial Differential Equations (PDE) of Lasry and Lions to situations where players in the game may have possibly nonunique optimal controls, and the resulting Hamiltonian is not required to be differentiable. We study second-order MFG PDI with convex, Lipschitz continuous, but possibly nondifferentiable, Hamiltonians, and their approximation by systems of classical MFG PDE with regularized Hamiltonians. Under very broad conditions on the problem data, we show that, up to subsequences, the solutions of the regularized problems converge to solutions of the MFG PDI. In particular, we show the convergence of the value functions in the

Type: Article
Title: Regularization of Stationary Second-Order Mean Field Game Partial Differential Inclusions
Open access status: An open access version is available from UCL Discovery
DOI: 10.1137/24M1686401
Publisher version: https://doi.org/10.1137/24M1686401
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: mean field games, Hamilton–Jacobi–Bellman equations, nondifferentiable Hamiltonians, partial differential inclusions, regularization, convergence analysis
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics
URI: https://discovery.ucl.ac.uk/id/eprint/10209995
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