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Probabilistic Theory of Mean Field Games with Applications I: Mean Field Fbsdes, Control, and Games

Probabilistic Theory of Mean Field Games with Applications I: Mean Field Fbsdes, Control, and Games

Paperback

Series: Probability Theory and Stochastic Modelling, Book 83

CalculusGeneral MathematicsProbability & Statistics

ISBN10: 3030132609
ISBN13: 9783030132606
Publisher: Springer Nature
Published: Nov 1 2019
Pages: 714
Weight: 2.24
Height: 1.48 Width: 6.14 Depth: 9.21
Language: English

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications. The book is self-contained in nature and includes original material and applications with explicit examples throughout, including numerical solutions.

Volume I of the book is entirely devoted to the theory of mean field games without a common noise. The first half of the volume provides a self-contained introduction to mean field games, starting from concrete illustrations of games with a finite number of players, and ending with ready-for-use solvability results. Readers are provided with the tools necessary for the solution of forward-backward stochastic differential equations of the McKean-Vlasov type at the core of the probabilistic approach. The second half of this volume focuses on the main principles of analysis on the Wasserstein space. It includes Lions' approach to the Wasserstein differential calculus, and the applications of its results to the analysis of stochastic mean field control problems.

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Probability & Statistics