Probabilistic theory of mean field games with applications, II, mean field games with common noise and master equations / René Carmona, François Delarue

Auteur principal : Carmona, René A., 1947-, AuteurCo-auteur : Delarue, François, 1976-, AuteurType de document : MonographieCollection : Probability theory and stochastic modelling, 84Langue : anglais.Pays: Swisse.Éditeur : Cham : Springer , 2018Description : 1 vol. (XXIV-697 p.) : fig. ; 25 cmISBN: 9783319564357.ISSN: 2199-3130.Bibliographie : Bibliogr. p. 665-679. Index.Sujet MSC : 60H10, Probability theory and stochastic processes - Stochastic analysis, Stochastic ordinary differential equations
60H30, Probability theory and stochastic processes - Stochastic analysis, Applications of stochastic analysis (to PDEs, etc.)
91A15, Game theory, Stochastic games, stochastic differential games
91A80, Game theory, Applications of game theory
93E03, Stochastic systems in control theory (general)
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 Monographie Monographie CMI
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60 CAR (Browse shelf(Opens below)) Available 12611-01

Publisher’s description: Volume II tackles the analysis of mean field games in which the players are affected by a common source of noise. The first part of the volume introduces and studies the concepts of weak and strong equilibria, and establishes general solvability results. The second part is devoted to the study of the master equation, a partial differential equation satisfied by the value function of the game over the space of probability measures. Existence of viscosity and classical solutions are proven and used to study asymptotics of games with finitely many players.

Together, both Volume I and Volume II will greatly benefit mathematical graduate students and researchers interested in mean field games. The authors provide a detailed road map through the book allowing different access points for different readers and building up the level of technical detail. The accessible approach and overview will allow interested researchers in the applied sciences to obtain a clear overview of the state of the art in mean field games.

Bibliogr. p. 665-679. Index

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