Mean field games of controls with Dirichlet boundary conditions

¹ Advanced Analytics Business Line, CRIF S.p.A., Via M. Fantin 3, IT-40131 Bologna, Italy
² Léonard de Vinci Pôle Universitaire, Research Center, 92916 Paris La Défense, France & Dipartimento di Matematica F. “Casorati”, Università degli Studi di Pavia, Via Ferrata 1, 27100 Pavia, Italy

^* Corresponding author: francesco.salvarani@unipv.it

Received: 19 June 2023
Accepted: 11 March 2024

Abstract

In this paper, we study a mean-field games system with Dirichlet boundary conditions in a closed domain and in a mean-field game of controls setting, that is in which the dynamics of each agent is affected not only by the average position of the rest of the agents but also by their average optimal choice. This setting allows the modeling of more realistic real-life scenarios in which agents not only will leave the domain at a certain point in time (like during the evacuation of pedestrians or in debt refinancing dynamics) but also act competitively to anticipate the strategies of the other agents. We shall establish the existence of Nash Equilibria for such class of mean-field game of controls systems under certain regularity assumptions on the dynamics and the Lagrangian cost. Much of the paper is devoted to establishing several a priori estimates which are needed to circumvent the fact that the mass is not conserved (as we are in a Dirichlet boundary condition setting). In the conclusive sections, we provide examples of systems falling into our framework as well as numerical implementations.