Mathematical Foundations of Game Theory

• Main Authors: Laraki, Rida (Author, http://id.loc.gov/vocabulary/relators/aut), Renault, Jérôme (http://id.loc.gov/vocabulary/relators/aut), Sorin, Sylvain (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Universitext,
• Subjects: Game theory.; Mathematical optimization.; Mathematics.; Social sciences.; Game Theory, Economics, Social and Behav. Sciences.; Game Theory.; Optimization.; Mathematics in the Humanities and Social Sciences.

 This book gives a concise presentation of the mathematical foundations of Game Theory, with an emphasis on strategic analysis linked to information and dynamics. It is largely self-contained, with all of the key tools and concepts defined in the text. Combining the basics of Game Theory, such as value existence theorems in zero-sum games and equilibrium existence theorems for non-zero-sum games, with a selection of important and more recent topics such as the equilibrium manifold and learning dynamics, the book quickly takes the reader close to the state of the art. Applications to economics, biology, and learning are included, and the exercises, which often contain noteworthy results, provide an important complement to the text. Based on lectures given in Paris over several years, this textbook will be useful for rigorous, up-to-date courses on the subject. Apart from an interest in strategic thinking and a taste for mathematical formalism, the only prerequisite for reading the book is a solid knowledge of mathematics at the undergraduate level, including basic analysis, linear algebra, and probability. . 

 1 Introduction -- 2 Zero-Sum Games: the Finite Case -- 3 Zero-Sum Games: the General Case -- 4 N-Player games: Rationality and Equilibria -- 5 Equilibrium Manifolds and Dynamics -- 6 Games in Extensive Form -- 7 Correlated Equilibria, Learning, Bayesian Equilibria -- 8 Introduction to Repeated Games -- 9 Solutions to the Exercises -- References. .