Equilibrium regained: From nonequilibrium chaos to statistical mechanics
Equilibrium regained: From nonequilibrium chaos to statistical mechanics
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DOI：
10.1126/science.287.5450.101
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发表时间：
2000-01-07
期刊：
影响因子：
56.9
通讯作者：
Egolf, DA
中科院分区：
文献类型：
--
作者：
Egolf, DA
远离平衡，空间扩展的混沌系统通常无法解析解，导致研究人员考虑基于统计而不是微观长度尺度的详细知识的理论。基于最近发现的宏观行为和微观混沌之间的长度尺度的分离，一个简单的远离平衡的空间扩展混沌系统已被研究计算在中间，粗粒度尺度。平衡性质，如吉布斯分布和详细的平衡恢复在这些尺度上，这表明，一些远离平衡系统的宏观行为可以理解的平衡统计力学。
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.