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不可逆热力学的随机方法。

Stochastic approach to irreversible thermodynamics.

作者信息

Nicolis Grégoire, De Decker Yannick

机构信息

Center for Nonlinear Phenomena and Complex Systems (CENOLI), Université libre de Bruxelles (ULB), Campus Plaine, C.P. 231, B-1050 Brussels, Belgium.

出版信息

Chaos. 2017 Oct;27(10):104615. doi: 10.1063/1.5001303.

Abstract

An extension of classical irreversible thermodynamics pioneered by Ilya Prigogine is developed, in which fluctuations of macroscopic observables accounting for microscopic-scale processes are incorporated. The contribution of the fluctuations to the entropy production is derived from a generalized entropy balance equation and expressed in terms of the fluctuating variables, via an extended local equilibrium Ansatz and in terms of the probability distributions of these variables. The approach is illustrated on reactive systems involving linear and nonlinear steps, and the role of the distance from equilibrium and of the nonlinearities is assessed.

摘要

由伊利亚·普里戈金开创的经典不可逆热力学的一个扩展被开发出来,其中纳入了考虑微观尺度过程的宏观可观测量的涨落。涨落对熵产生的贡献从广义熵平衡方程导出,并通过扩展的局部平衡假设,用涨落变量以及这些变量的概率分布来表示。该方法在涉及线性和非线性步骤的反应系统中得到说明,并评估了远离平衡的程度和非线性的作用。

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