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arXiv 2109.03260cond-mat.stat-mech
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稳态热机中工作、热量和熵产的生存与极值统计

Survival and extreme statistics of work, heat, and entropy production in steady-state heat engines

Institute for Cross-Disciplinary Physics and Complex Systems IFISC (UIB-CSIC)(跨学科物理与复杂系统研究所);Institute for Quantum Optics and Quantum Information IQOQI, Austrian Academy of Sciences(奥地利科学院量子光学与量子信息研究所);ICTP - The Abdus Salam International Centre for Theoretical Physics(阿卜杜斯·萨拉姆国际理论物理中心)

Gonzalo Manzano, Édgar Roldán

AI总结:

研究推导了稳态热机中随机工作提取和环境热量耗散的有限时间生存概率的通用界限,并确定了时间依赖阈值的估计,这些阈值在给定概率下不被超越。长期情况下,最紧的阈值与随机熵产的大偏差函数成正比,扩展了熵产的martingale理论,并通过随机光电装置的数值模拟验证了主要结果。

摘要:

我们推导了稳态热机中随机工作提取和环境热量耗散的有限时间生存概率的通用界限,并确定了这些量不超越的时间依赖阈值估计。在长时间尺度下,最紧的阈值与随机熵产的大偏差函数成正比。我们的结果扩展了熵产的martingale理论,推导了适用于非平衡稳态泛函的通用不等式,涉及熵产的最大和最小统计量。我们通过随机光电装置的数值模拟验证了主要结果。

英文摘要:

We derive universal bounds for the finite-time survival probability of the stochastic work extracted in steady-state heat engines and the stochastic heat dissipated to the environment. We also find estimates for the time-dependent thresholds that these quantities does not surpass with a prescribed probability. At long times, the tightest thresholds are proportional to the large deviation functions of stochastic entropy production. Our results entail an extension of martingale theory for entropy production, for which we derive universal inequalities involving its maximum and minimum statistics that are valid for generic Markovian dynamics in non-equilibrium stationary states. We test our main results with numerical simulations of a stochastic photoelectric device.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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