Geodesic
Mild and weak solutions of mean field game problems for linear control systems
Minimax theory and its applications, Tome 5 (2020) no. 2
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The aim of this paper is to study first order Mean field games subject to a linear controlled dynamics on R d . For this kind of problems, we define Nash equilibria (called Mean Field Games equilibria), as Borel probability measures on the space of admissible trajectories, and mild solutions as solutions associated with such equilibria. Moreover, we prove the existence and uniqueness of mild solutions and we study their regularity: we prove Hölder regularity of Mean Field Games equilibria and fractional semiconcavity for the value function of the underlying optimal control problem. Finally, we address the PDEs system associated with the Mean Field Games problem and we prove that the class of mild solutions coincides with a suitable class of weak solutions.
Mots-clés : Mean field games, mean field games equilibrium, semiconcave estimates, control systems 
@article{MTA_2020_5_2_a3,
     author = {Piermarco Cannarsa and Cristian Mendico},
     title = {Mild and weak solutions of mean field game problems for linear control systems},
     journal = {Minimax theory and its applications},
     year = {2020},
     volume = {5},
     number = {2},
     zbl = {1454.35389},
     url = {http://geodesic.mathdoc.fr/item/MTA_2020_5_2_a3/}
}
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%U http://geodesic.mathdoc.fr/item/MTA_2020_5_2_a3/
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Piermarco Cannarsa; Cristian Mendico. Mild and weak solutions of mean field game problems for linear control systems. Minimax theory and its applications, Tome 5 (2020) no. 2. http://geodesic.mathdoc.fr/item/MTA_2020_5_2_a3/