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Chaos-induced escape over a potential barrier
Author(s) -
Lock Yue Chew,
Christopher Ting,
ChihHuang Lai
Publication year - 2004
Publication title -
physical review e
Language(s) - English
Resource type - Journals
eISSN - 1550-2376
pISSN - 1539-3755
DOI - 10.1103/physreve.70.045203
Subject(s) - statistical physics , skew , chaotic , physics , asymmetry , parity (physics) , quantum mechanics , astronomy , artificial intelligence , computer science
We investigate the statistical parity of a class of chaos-generated noises on the escape of strongly damped particles out of a potential well. We show that statistical asymmetry in the chaotic ßuctuations can lead to a skewed Maxwell-Boltzmann distribution in the well. Depending on the direction of skew, the Kramers escape rate is enhanced or suppressed accordingly. Based on the Perron-Frobenious equation, we determine an analytical expression for the escape rate's prefactor that accounts for this eect. Furthermore, our perturbative analysis proves that in the zeroth-order limit, the rate of particle escape converges to the Kramers rate.

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