Computation of the Kolmogorov-Sinai entropy using statistitical mechanics: Application of an exchange Monte Carlo method

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dc.creatorSasa, Shin-ichi
dc.creatorHayashi, Kumiko
dc.date2005-09-02
dc.date2006-02-14
dc.date.accessioned2026-07-07T06:41:42Z
dc.date.available2026-07-07T06:41:42Z
dc.descriptionWe propose a method for computing the Kolmogorov-Sinai (KS) entropy of chaotic systems. In this method, the KS entropy is expressed as a statistical average over the canonical ensemble for a Hamiltonian with many ground states. This Hamiltonian is constructed directly from an evolution equation that exhibits chaotic dynamics. As an example, we compute the KS entropy for a chaotic repeller by evaluating the thermodynamic entropy of a system with many ground states.
dc.description7 pages
dc.identifierhttps://arxiv.org/abs/cond-mat/0509049
dc.identifierhttp://arxiv.org/abs/cond-mat/0509049
dc.identifierEurophys. Lett. 74, 156-162 (2006)
dc.identifierdoi:10.1209/epl/i2005-10515-2
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/101762
dc.subjectStatistical Mechanics
dc.subjectChaotic Dynamics
dc.titleComputation of the Kolmogorov-Sinai entropy using statistitical mechanics: Application of an exchange Monte Carlo method
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