弛豫统计平衡中的最佳增长模式

Manuel Santos Gutiérrez, Mickaël D. Chekroun
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引用次数: 0

摘要

由于 "反混合"(anti-mixing)的特点,远离平衡的系统会缓慢地接近稳定。"反混合 "的特点是,相空间的一些区域在长期的流动作用后仍然是断开的。我们引入了最优增长模式(OGM)来捕捉这种缓慢的初始松弛。OGM 是通过近似福克-普朗克算子作用于相空间的马尔可夫矩阵计算得出的。它是衰变前能量增长最大的模式。以洛伦兹 63 模型为例,详细说明了 OGM 与更传统的最慢衰变模式之间的重要细微差别。讨论了这对理解复杂系统如何响应外力的影响。
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The Optimal Growth Mode in the Relaxation to Statistical Equilibrium
Systems far from equilibrium approach stability slowly due to "anti-mixing" characterized by regions of the phase-space that remain disconnected after prolonged action of the flow. We introduce the Optimal Growth Mode (OGM) to capture this slow initial relaxation. The OGM is calculated from Markov matrices approximating the action of the Fokker-Planck operator onto the phase space. It is obtained as the mode having the largest growth in energy before decay. Important nuances between the OGM and the more traditional slowest decaying mode are detailed in the case of the Lorenz 63 model. The implications for understanding how complex systems respond to external forces, are discussed.
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