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商品詳細
Ergodic Optimization in the Expanding Case : Concepts, Tools and Applications. 1st ed. 2017.
・ISBN 978-3-319-66642-6 paper EUR 49.99
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お気に入り
★★★
| 著者・編者 | Garibaldi, Eduardo, |
|---|---|
| シリーズ | SpringerBriefs in Mathematics |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2017 |
| ページ数 | 73 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-3721＞ |
解説
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.