书目名称 | Stochastic Systems with Time Delay | 副标题 | Probabilistic and Th | 编辑 | Sarah A.M. Loos | 视频video | | 概述 | Nominated as an outstanding Ph.D. thesis by the Technische Universität Berlin, Berlin, Germany.Addresses and advances the challenging problem of strongly fluctuating systems that include time delay.Pr | 丛书名称 | Springer Theses | 图书封面 |  | 描述 | The nonequilibrium behavior of nanoscopic and biological systems, which are typically strongly fluctuating, is a major focus of current research. Lately, much progress has been made in understanding such systems from a thermodynamic perspective. However, new theoretical challenges emerge when the fluctuating system is additionally subject to time delay, e.g. due to the presence of feedback loops. This thesis advances this young and vibrant research field in several directions. The first main contribution concerns the probabilistic description of time-delayed systems; e.g. by introducing a versatile approximation scheme for nonlinear delay systems. Second, it reveals that delay can induce intriguing thermodynamic properties such as anomalous (reversed) heat flow. More generally, the thesis shows how to treat the thermodynamics of non-Markovian systems by introducing auxiliary variables. It turns out that delayed feedback is inextricably linked to nonreciprocal coupling, information flow, and to net energy input on the fluctuating level. | 出版日期 | Book 2021 | 关键词 | Non-Markovian Processes; Time-Delayed Feedback; Stochastic Delay Differential Equations; Fokker-Planck | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-80771-9 | isbn_softcover | 978-3-030-80773-3 | isbn_ebook | 978-3-030-80771-9Series ISSN 2190-5053 Series E-ISSN 2190-5061 | issn_series | 2190-5053 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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