Cover of Eduardo Garibaldi: Ergodic Optimization in the Expanding Case

Eduardo Garibaldi Ergodic Optimization in the Expanding Case

Concepts, Tools and Applications

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Springer International Publishing

2017

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978-3-319-66643-3

3-319-66643-6

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This book focuses on the interpretation of ergodic optimal problems as questions of variational dynamics, employing a comparable approach to that of the Aubry-Mather theory for Lagrangian systems. Ergodic optimization is primarily concerned with the study of optimizing probability measures. This work presents and discusses the fundamental concepts of the theory, including the use and relevance of Sub-actions as analogues to subsolutions of the Hamilton-Jacobi equation. Further, it provides evidence for the impressively broad applicability of the tools inspired by the weak KAM theory.

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