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Some recent developments in non-equilibrium statistical physics

机译:非平衡统计物理学的一些最新进展

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We first recall the laws of classical thermodynamics and the fundamental principles of statistical mechanics and emphasize the fact that the fluctuations of a system in macroscopic equilibrium, such as Brownian motion, can be explained by statistical mechanics and not by thermodynamics. In the vicinity of equilibrium, the susceptibility of a system to an infinitesimal external perturbation is related to the amplitude of the fluctuations at equilibrium (Einstein's relation) and exhibits a symmetry discovered by Onsager. We shall then focus on the mathematical description of systems out of equilibrium using Markovian dynamics. This will allow us to present some remarkable relations derived during the last decade and valid arbitrarily far from equilibrium: the Gallavotti-Cohen fluctuation theorem and Jarzynski's non-equilibrium work identities. These recent results will be illustrated by applying them to simple systems such as the Brownian ratchet model for molecular motors and the asymmetric exclusion process which is a basic example of a driven lattice gas.
机译:我们首先回顾经典热力学定律和统计力学的基本原理,并强调一个事实,即宏观平衡中的系统波动(例如布朗运动)可以由统计力学而非热力学来解释。在平衡附近,系统对无限小外部扰动的敏感性与平衡时的波动幅度有关(爱因斯坦关系),并表现出Onsager发现的对称性。然后,我们将集中在使用马尔可夫动力学的非平衡系统的数学描述上。这将使我们能够呈现出过去十年中衍生出的,且远非均衡的任意显着关系:加拉沃蒂-科恩涨落定理和贾尔钦斯基的非均衡工作恒等式。这些最新结果将通过将其应用到简单的系统中进行说明,例如用于分子电动机的布朗棘轮模型和非对称排除过程,这是驱动晶格气体的基本示例。

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