Overview
- First comprehensive presentation of state of the art theory of mean field games with special emphasis on the probabilistic approach
- Numerous applications with explicit examples including numerical solutions
- Self-contained treatment of related topics such as analysis on Wasserstein space and mean field control problems
Part of the book series: Probability Theory and Stochastic Modelling (PTSM, volume 83-84)
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About this book
Volume I of the set is entirely devoted to the theory of mean field games without a common noise, whereas Volume II analyzes mean field games in which the players are subject to games with a common noise.
Together, both Volume I and Volume II will benefit researchers in the field as well as PhD and graduate students working on the subject due to the self-contained nature and applications with explicit examples throughout.
Keywords
- Mean Field Games
- Mean Field Control
- Master Equations
- Forward Backward Stochastic Differential Equations
- Analysis on Wasserstein Space
- Game Theory
- Optimal Stochastic Control
- Applications in Economics and Social Science
- partial differential equations
Authors and Affiliations
Bibliographic Information
Book Title: Probabilistic Theory of Mean Field Games with Applications I-II
Authors: René Carmona, François Delarue
Series Title: Probability Theory and Stochastic Modelling
Publisher: Springer Cham
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Series ISSN: 2199-3130
Series E-ISSN: 2199-3149
Edition Number: 1
Number of Pages: LIII, 1371