A second-order Mean Field Games model with controlled diffusion
Analysis of PDEs
2024-07-31 v1
Abstract
Mean Field Games (MFG) theory describes strategic interactions in differential games with a large number of small and indistinguishable players. Traditionally, the players' control impacts only the drift term in the system's dynamics, leaving the diffusion term uncontrolled. This paper explores a novel scenario where agents control both drift and diffusion. This leads to a fully non-linear MFG system with a fully non-linear Hamilton-Jacobi-Bellman equation. We use viscosity arguments to prove existence of solutions for the HJB equation, and then we adapt and extend a result from Krylov to prove a regularity for in the space variable. This allows us to prove a well-posedness result for the MFG system.
Cite
@article{arxiv.2407.20826,
title = {A second-order Mean Field Games model with controlled diffusion},
author = {Vincenzo Ignazio and Michele Ricciardi},
journal= {arXiv preprint arXiv:2407.20826},
year = {2024}
}
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34 pages