Convergence of some Mean Field Games systems to aggregation and flocking models

Martino Bardi (1) , Pierre Cardaliaguet (2)

1 Dipartimento di Matematica Pura e Applicata [Padova]
2 CEREMADE - CEntre de REcherches en MAthématiques de la DEcision

For two classes of Mean Field Game systems we study the convergence of solutions as the interest rate in the cost functional becomes very large, modeling agents caring only about a very short time-horizon, and the cost of the control becomes very cheap. The limit in both cases is a single first order integro-partial differential equation for the evolution of the mass density. The first model is a 2nd order MFG system with vanishing viscosity, and the limit is an aggregation equation. The result has an interpretation for models of collective animal behaviour and of crowd dynamics. The second class of problems are 1st order MFGs of acceleration and the limit is the kinetic equation associated to the Cucker-Smale model. The first problem is analyzed by PDE methods, whereas the second is studied by variational methods in the space of probability measures on trajectories.

Domaines: Optimisation et contrôle [math.OC]

Martino Bardi, Pierre Cardaliaguet. Convergence of some Mean Field Games systems to aggregation and flocking models. Nonlinear Analysis, 2021, 204, pp.112199. ⟨hal-02536846⟩