Abstract
This work investigates continuous time stochastic differential games with a large number of players whose costs and dynamics interact through the empirical distribution of both their states and their controls. The control processes are assumed to be open-loop. We give regularity conditions guaranteeing that if the finite-player game admits a Nash equilibrium, then both the sequence of equilibria and the corresponding state processes satisfy a Sanov-type large deviation principle. The results require existence of a Lipschitz continuous solution of the master equation of the corresponding mean field game, and they carry over to cooperative (i.e. central planner) games. We study a linear-quadratic case of such games in details.
Original language | English (US) |
---|---|
Article number | 104314 |
Journal | Stochastic Processes and their Applications |
Volume | 171 |
DOIs | |
State | Published - May 2024 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Modeling and Simulation
- Applied Mathematics
Keywords
- Concentration of measure
- FBSDE
- Interaction through controls
- Large deviation principle
- Large population games
- McKean–Vlasov equations
- Mean field games
- PDEs on Wasserstein space