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Fluctuations of Apparent Entropy Production in Networks with Hidden Slow Degrees of Freedom

机译:隐式慢速网络中表观熵产生的波动   自由程度

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摘要

The fluctuation theorem for entropy production is a remarkable symmetry ofthe distribution of produced entropy that holds universally in non-equilibriumsteady states with Markovian dynamics. However, in systems with slow degrees offreedom that are hidden from the observer, it is not possible to infer theamount of produced entropy exactly. Previous work suggested that a relationsimilar to the fluctuation theorem may hold at least approximately for suchsystems if one considers an apparent entropy production. By extending thenotion of apparent entropy production to discrete bipartite systems weinvestigate which criteria have to be met for such a modified fluctuationtheorem to hold in the large deviation limit. We use asymptotic approximationsof the large deviation function to show that the probabilities of extremeevents of apparent entropy production always obey a modified fluctuationtheorem and, moreover, that it is possible to infer otherwise hiddenproperties. For the paradigmatic case of two coupled colloidal particles onrings the rate function of the apparent entropy production is calculated toillustrate this asymptotic behavior and to show that the modified fluctuationtheorem observed experimentally for short observation times does not persist inthe long time limit.
机译:熵产生的波动定理是所产生的熵分布的显着对称性,它在具有马尔可夫动力学的非平衡稳态中普遍存在。但是,在观察者隐藏的自由度较低的系统中,无法准确推断出产生的熵的量。先前的工作表明,如果人们认为表观熵产生,那么与波动定理相似的关系至少可以成立。通过将表观熵产生的概念扩展到离散的二分系统,我们研究了为了使这种修正的波动定理保持在大偏差范围内,必须满足哪些标准。我们使用大偏差函数的渐近逼近来表明,视在熵产生的极端事件的概率始终服从修正的涨落定理,此外,还可以推断出其他隐藏属性。对于两个偶合的胶体颗粒环的典型情况,计算了表观熵产生的速率函数,以说明这种渐近行为,并表明在较短的观察时间内实验观察到的改进的涨落定理在长时间内不会持久。

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