Dr Yohance Osborne yohance.a.osborne@durham.ac.uk
Royal Society Career Development Fellow
Dr Yohance Osborne yohance.a.osborne@durham.ac.uk
Royal Society Career Development Fellow
Iain Smears
The standard formulation of the PDE system of Mean Field Games (MFG) requires the differentiability of the Hamiltonian. However in many cases, the structure of the underlying optimal problem leads to a convex but nondifferentiable Hamiltonian. For time-dependent MFG systems, we introduce a generalization of the problem as a Partial Differential Inclusion (PDI) by interpreting the derivative of the Hamiltonian in terms of the subdifferential set. In particular, we prove the existence and uniqueness of weak solutions to the resulting MFG PDI system under standard assumptions in the literature. We propose a monotone stabilized finite element discretization of the problem, using conforming affine elements in space and an implicit Euler discretization in time with mass-lumping. We prove the strong convergence in L2(H1) of the value function approximations, and strong convergence in Lp(L2) of the density function approximations, together with strong L2-convergence of the value function approximations at the initial time.
Osborne, Y. A. P., & Smears, I. (2025). Finite element approximation of time-dependent mean field games with nondifferentiable Hamiltonians. Numerische Mathematik, 157(1), 165-211. https://doi.org/10.1007/s00211-024-01447-2
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 27, 2024 |
Online Publication Date | Dec 11, 2024 |
Publication Date | Feb 1, 2025 |
Deposit Date | Jan 8, 2025 |
Publicly Available Date | Jan 8, 2025 |
Journal | Numerische Mathematik |
Print ISSN | 0029-599X |
Electronic ISSN | 0945-3245 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 157 |
Issue | 1 |
Pages | 165-211 |
DOI | https://doi.org/10.1007/s00211-024-01447-2 |
Keywords | 65M60, 65M12 |
Public URL | https://durham-repository.worktribe.com/output/3327341 |
Published Journal Article (Advance Online Version)
(859 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Published Journal Article
(848 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search