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Springer Probabilistic Theory of Mean Field Games Vol I

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Description

Explore the probabilistic approach to mean field game models with this comprehensive text from Springer. Part of the Probability Theory and Stochastic Modelling series, Volume I focuses entirely on the theory of mean field games without a common noise. This self-contained volume provides a clear path from concrete illustrations of games involving a finite number of players to ready-for-use solvability results. Designed for students and researchers in mathematics and optimization, the book includes original material and practical applications. Each concept is supported by explicit examples and numerical solutions to ensure a deep understanding of Mean Field FBSDEs, control, and games. It serves as an essential resource for anyone studying stochastic modelling and complex mathematical game theory.

Key Features

This Springer publication provides a comprehensive treatment of the probabilistic approach to mean field game models.

Volume I is dedicated to the theory of mean field games without a common noise for specialized study.

The text is self-contained and includes original material with explicit examples and numerical solutions throughout.

The content transitions from finite player game illustrations to advanced solvability results for practical use.

This book is part of the Probability Theory and Stochastic Modelling series, volume 83.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
12 March 2018
Listed Since
02 March 2017

Barcode

No barcode data available

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