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Hauptverfasser: Gutiérrez, Manuel Santos, Chekroun, Mickaël D.
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2407.02545
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author Gutiérrez, Manuel Santos
Chekroun, Mickaël D.
author_facet Gutiérrez, Manuel Santos
Chekroun, Mickaël D.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2407_02545
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Optimal Growth Mode in the Relaxation to Statistical Equilibrium
Gutiérrez, Manuel Santos
Chekroun, Mickaël D.
Statistical Mechanics
Chaotic Dynamics
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.
title The Optimal Growth Mode in the Relaxation to Statistical Equilibrium
topic Statistical Mechanics
Chaotic Dynamics
url https://arxiv.org/abs/2407.02545