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精确粗粒化保留了非平衡态下的熵产生。

Exact Coarse Graining Preserves Entropy Production out of Equilibrium.

机构信息

Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 7610001, Israel and Department of Physics and Astronomy, University of Padova, Via Marzolo 8, I-35131 Padova, Italy.

Department of Physics and Astronomy, University of Padova, Via Marzolo 8, I-35131 Padova, Italy and INFN, Sezione di Padova, Via Marzolo 8, I-35131 Padova, Italy.

出版信息

Phys Rev Lett. 2020 Sep 11;125(11):110601. doi: 10.1103/PhysRevLett.125.110601.

Abstract

The entropy production rate associated with broken time-reversal symmetry provides an essential characterization of nanosystems out of equilibrium, from driven colloidal particles to molecular motors. Limited access to the dynamical states is generally expected to hinder the correct estimation of this observable. Here we show how memoryless jump processes can be coarse grained, exactly preserving its average and fluctuations at stationarity. This supports univocal applicability of fluctuation theorems for entropy and allows inference of the genuine thermodynamics together with inaccessible process details.

摘要

与时间反演对称性破缺相关的熵产生率为我们提供了一种基本的方法来刻画非平衡状态下的纳米系统,从驱动胶体粒子到分子马达。通常情况下,由于对动力学状态的访问有限,人们预计这将阻碍对这一可观测量的正确估计。在这里,我们展示了如何对无记忆跳跃过程进行粗粒化,而在稳态时完全保留其平均值和涨落。这支持了涨落定理在熵方面的明确适用性,并允许推断出真实的热力学以及不可访问的过程细节。

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