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arXiv 1809.02084cond-mat.stat-mech
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在没有可观测海流的情况下推断破坏的细致平衡

Inferring broken detailed balance in the absence of observable currents

Ignacio A. Martínez, Gili Bisker, Jordan M. Horowitz, Juan M. R. Parrondo

摘要:

识别耗散对于理解非平衡过程的物理机制是必不可少的。{In例如,在生命系统中,耗散与燃料分子如三磷酸腺苷(ATP)的水解直接相关。然而,检测破缺的时间反演对称性,这是耗散过程的标志,仍然是一个挑战,在可观察到的定向运动,流动,或通量的情况下。此外,量化复杂系统中的熵产生需要关于其动力学和内部自由度的详细信息。在这里,我们介绍了一种新的方法来检测时间的不可逆性和估计的熵产生的时间序列测量,即使在没有可观测的电流。我们将我们的技术应用于两个不同的物理系统,即部分隐藏网络和分子马达。我们的方法不需要系统动力学的完整信息,从而为研究非平衡现象提供了一种新的工具。

英文摘要:

Identifying dissipation is essential for understanding the physical mechanisms underlying nonequilibrium processes. {In living systems, for example, the dissipation is directly related to the hydrolysis of fuel molecules such as adenosine triphosphate (ATP)}. Nevertheless, detecting broken time-reversal symmetry, which is the hallmark of dissipative processes, remains a challenge in the absence of observable directed motion, flows, or fluxes. Furthermore, quantifying the entropy production in a complex system requires detailed information about its dynamics and internal degrees of freedom. Here we introduce a novel approach to detect time irreversibility and estimate the entropy production from time-series measurements, even in the absence of observable currents. We apply our technique to two different physical systems, namely, a partially hidden network and a molecular motor. Our method does not require complete information about the system dynamics and thus provides a new tool for studying nonequilibrium phenomena.

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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