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通过单次分析实现真正类似工作的工作提取。

Truly work-like work extraction via a single-shot analysis.

机构信息

Institute for Physics, University of Freiburg, Hermann-Herder-Strasse 3, Freiburg D-79104, Germany.

出版信息

Nat Commun. 2013;4:1925. doi: 10.1038/ncomms2712.

Abstract

The work content of non-equilibrium systems in relation to a heat bath is often analysed in terms of expectation values of an underlying random work variable. However, when optimizing the expectation value of the extracted work, the resulting extraction process is subject to intrinsic fluctuations, uniquely determined by the Hamiltonian and the initial distribution of the system. These fluctuations can be of the same order as the expected work content per se, in which case the extracted energy is unpredictable, thus intuitively more heat-like than work-like. This raises the question of the 'truly' work-like energy that can be extracted. Here we consider an alternative that corresponds to an essentially fluctuation-free extraction. We show that this quantity can be expressed in terms of a one-shot relative entropy measure introduced in information theory. This suggests that the relations between information theory and statistical mechanics, as illustrated by concepts like Maxwell's demon, Szilard engines and Landauer's principle, extends to the single-shot regime.

摘要

非平衡系统与热浴相关的工作内容通常通过基础随机工作变量的期望值来分析。然而,当优化提取工作的期望值时,所得到的提取过程会受到内在波动的影响,这些波动是由哈密顿量和系统的初始分布唯一决定的。这些波动可能与每个过程的预期工作内容本身处于同一数量级,在这种情况下,提取的能量是不可预测的,因此在直观上更具有热的特性而不是功的特性。这就提出了“真正的”可以提取的功的特性的问题。在这里,我们考虑了一种替代方案,它对应于一种本质上无波动的提取。我们表明,这个量可以用信息论中引入的一个单次相对熵测度来表示。这表明,信息论和统计力学之间的关系,如麦克斯韦妖、希拉德引擎和兰道尔原理所说明的,扩展到单次提取的情况。

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