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经典随机过程的限速。

Speed Limit for Classical Stochastic Processes.

机构信息

Department of Physics, Keio University, Hiyoshi 3-14-1, Kohoku-ku, Yokohama 2288521, Japan.

School of Physics, Peking University, Beijing 100871, China.

出版信息

Phys Rev Lett. 2018 Aug 17;121(7):070601. doi: 10.1103/PhysRevLett.121.070601.

Abstract

We consider the speed limit for classical stochastic Markov processes with and without the local detailed balance condition. We find that, for both cases, a trade-off inequality exists between the speed of the state transformation and the entropy production. The dynamical activity is related to a time scale and plays a crucial role in the inequality. For the dynamics without the local detailed balance condition, we use the Hatano-Sasa entropy production instead of the standard entropy production. Our inequalities consist of the quantities that are commonly used in stochastic thermodynamics and explicitly show underlying physical mechanisms.

摘要

我们考虑了具有和不具有局部细致平衡条件的经典随机 Markov 过程的速度限制。我们发现,对于这两种情况,状态变换的速度和熵产生之间存在一种权衡不等式。动力学活动与时间尺度有关,在不等式中起着关键作用。对于不具有局部细致平衡条件的动力学,我们使用 Hatano-Sasa 熵产生而不是标准熵产生。我们的不等式包含了在随机热力学中常用的量,并明确地显示了潜在的物理机制。

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