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

机译:通过单次分析即可真正实现类似于工作的工作提取

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摘要

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.
机译:经常根据潜在随机工作变量的期望值来分析与热浴有关的非平衡系统的工作内容。但是,当优化提取工作的期望值时,最终的提取过程会受到固有波动的影响,这是由哈密顿量和系统的初始分布唯一确定的。这些波动可以与预期的工作内容本身处于相同的数量级,在这种情况下,所提取的能量是不可预测的,因此从直觉上讲,类似于工作的热量更像热量。这就提出了一个问题,即可以提取出“真正”的类似工作的能量。在这里,我们考虑一种替代方案,它对应于基本上无波动的提取。我们表明,该量可以用信息论中引入的单次相对熵测度来表示。这表明,信息理论与统计力学之间的关系(如麦克斯韦的恶魔,希尔兹引擎和兰道尔的原理所阐明的那样)扩展到了单发制。

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