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恢复平衡:从非平衡混沌到统计力学

Equilibrium regained: from nonequilibrium chaos to statistical mechanics.

作者信息

Egolf D A

机构信息

Center for Nonlinear Studies (MS B258), Theoretical Division and Condensed Matter and Thermal Physics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.

出版信息

Science. 2000 Jan 7;287(5450):101-4. doi: 10.1126/science.287.5450.101.

Abstract

Far-from-equilibrium, spatially extended chaotic systems have generally eluded analytical solution, leading researchers to consider theories based on a statistical rather than a detailed knowledge of the microscopic length scales. Building on the recent discovery of a separation of length scales between macroscopic behavior and microscopic chaos, a simple far-from-equilibrium spatially extended chaotic system has been studied computationally at intermediate, coarse-grained scales. Equilibrium properties such as Gibbs distributions and detailed balance are recovered at these scales, which suggests that the macroscopic behavior of some far-from-equilibrium systems might be understood in terms of equilibrium statistical mechanics.

摘要

远离平衡态的空间扩展混沌系统通常难以得到解析解,这使得研究人员不得不考虑基于统计而非微观长度尺度详细知识的理论。基于最近发现的宏观行为与微观混沌之间的长度尺度分离,一个简单的远离平衡态的空间扩展混沌系统已在中间的粗粒度尺度上进行了计算研究。在这些尺度上恢复了诸如吉布斯分布和细致平衡等平衡性质,这表明一些远离平衡态系统的宏观行为或许可以用平衡统计力学来理解。

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