| 书目名称 | Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics |
| 副标题 | A method to control |
| 编辑 | Takahiro Nemoto |
| 视频video | |
| 概述 | Nominated as an outstanding contribution by Kyoto University‘s Physics Department in 2015.Proposes a general rare-event sampling method that can be applied to non-equilibrium systems without relying o |
| 丛书名称 | Springer Theses |
| 图书封面 |  |
| 描述 | .This thesis describes a method to control rare events in non-equilibrium systems by applying physical forces to those systems but without relying on numerical simulation techniques, such as copying rare events. In order to study this method, the book draws on the mathematical structure of equilibrium statistical mechanics, which connects large deviation functions with experimentally measureable thermodynamic functions. Referring to this specific structure as the “phenomenological structure for the large deviation principle”, the author subsequently extends it to time-series statistics that can be used to describe non-equilibrium physics..The book features pedagogical explanations and also shows many open problems to which the proposed method can be applied only to a limited extent. Beyond highlighting these challenging problems as a point of departure, it especially offers an effective means of description for rare events, which could become the next paradigm of non-equilibrium statistical mechanics.. |
| 出版日期 | Book 2016 |
| 关键词 | Asymmetric-Simple-Exclusion-Process; Fluctuation theorem; Kinetically constrained model; Large deviatio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-287-811-3 |
| isbn_softcover | 978-981-10-1318-8 |
| isbn_ebook | 978-981-287-811-3Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | Springer Science+Business Media Singapore 2016 |
发表于 2025-3-21 18:35:53
