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非平衡统计力学中的电流

Currents in nonequilibrium statistical mechanics.

作者信息

Gaveau B, Schulman L S

机构信息

Laboratoire Analyse et Physique Mathématique, 14 Avenue Félix Faure, 75015 Paris, France.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Feb;79(2 Pt 1):021112. doi: 10.1103/PhysRevE.79.021112. Epub 2009 Feb 11.

Abstract

Nonzero currents characterize the nonequilibrium state in stochastic dynamics (or master equation) models of natural systems. In such models there is a matrix R of transition probabilities connecting the states of the system. We show that if the strength of a transition increases, so does the current along the corresponding bond. We also address the inverse problem: given a set of observed currents, we show the extent to which the original " R " can be recovered. These considerations lead to a general discussion of time scales and substance flows.

摘要

非零电流是自然系统随机动力学(或主方程)模型中非平衡态的特征。在这类模型中,存在一个连接系统状态的转移概率矩阵R。我们表明,如果一个转移的强度增加,沿相应键的电流也会增加。我们还解决了逆问题:给定一组观测到的电流,我们展示了原始“R”能够被恢复的程度。这些考量引发了对时间尺度和物质流的一般性讨论。

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