Stationary Mean Field Games systems defined on networks
Fabio Camilli, Claudio Marchi

TL;DR
This paper studies stationary Mean Field Games systems on networks, focusing on vertex transition conditions derived from optimal control, and establishes well-posedness, existence, and uniqueness of solutions.
Contribution
It introduces a novel framework for MFG systems on networks with control-based vertex conditions and proves key mathematical properties.
Findings
Well-posedness of the individual equations
Existence of solutions for the MFG system
Uniqueness of the solution
Abstract
We consider a stationary Mean Field Games system defined on a network. In this framework, the transition conditions at the vertices play a crucial role: the ones here considered are based on the optimal control interpretation of the problem. We prove separately the well-posedness for each of the two equations composing the system. Finally, we prove existence and uniqueness of the solution of the Mean Field Games system.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
