Alessio Porretta
University of Rome Tor Vergata
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Publication
Featured researches published by Alessio Porretta.
Networks and Heterogeneous Media | 2012
Pierre Cardaliaguet; Jean-Michel Lasry; Pierre-Louis Lions; Alessio Porretta
We consider a model of mean field games system defined on a time interval
Transactions of the American Mathematical Society | 2010
I. Capuzzo Dolcetta; Fabiana Leoni; Alessio Porretta
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Siam Journal on Control and Optimization | 2013
Pierre Cardaliaguet; Jean-Michel Lasry; Pierre-Louis Lions; Alessio Porretta
and investigate its asymptotic behavior as the horizon
Dynamic Games and Applications | 2014
Alessio Porretta
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Siam Journal on Control and Optimization | 2013
Alessio Porretta; Enrique Zuazua
tends to infinity. We show that the system, rescaled in a suitable way, converges to a stationary ergodic mean field game. The convergence holds with exponential rate and relies on energy estimates and the Hamiltonian structure of the system.
Journal of Functional Analysis | 2006
Alessio Porretta; Laurent Veron
We prove a priori estimates and regularity results for some quasi-linear degenerate elliptic equations arising in optimal stochastic control problems. Our main results show that strong coerciveness of gradient terms forces bounded viscosity subsolutions to be globally Holder continuous, and solutions to be locally Lipschitz continuous. We also give an existence result for the associated Dirichlet problem.
Journal D Analyse Mathematique | 2006
Louis Dupaigne; Augusto C. Ponce; Alessio Porretta
We study the long time average, as the time horizon tends to infinity, of the solution of a mean field game system with a nonlocal coupling. We show an exponential convergence to the solution of the associated stationary ergodic mean field game. Proofs rely on semiconcavity estimates and smoothing properties of the linearized system.
Siam Journal on Mathematical Analysis | 2008
Tommaso Leonori; Alessio Porretta
We consider the planning problem for a class of mean field games, consisting in a coupled system of a Hamilton–Jacobi–Bellman equation for the value function u and a Fokker–Planck equation for the density m of the players, whereas one wishes to drive the density of players from the given initial configuration to a target one at time T through the optimal decisions of the agents. Assuming that the coupling F(x,m) in the cost criterion is monotone with respect to m, and that the Hamiltonian has some growth bounded below and above by quadratic functions, we prove the existence of a weak solution to the system with prescribed initial and terminal conditions m0, m1 (positive and smooth) for the density m. This is also a special case of an exact controllability result for the Fokker–Planck equation through some optimal transport field.
Journal of the European Mathematical Society | 2009
Alessio Porretta; Laurent Veron
This paper analyzes the convergence of optimal control problems for an evolution equation in a finite time-horizon
Archive | 2016
Alessio Porretta; Enrique Zuazua
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