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

S. I. Sasa; K. Hayashi

doi:10.1209/epl/i2005-10515-2

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

S. I. Sasa, K. Hayashi

Research output: Contribution to journal › Article

11 Citations (Scopus)

Abstract

We 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.

Original language	English
Pages (from-to)	156-162
Number of pages	7
Journal	Europhysics Letters
Volume	74
Issue number	1
DOIs	https://doi.org/10.1209/epl/i2005-10515-2
Publication status	Published - 2006 Apr 1
Externally published	Yes

ASJC Scopus subject areas

Physics and Astronomy(all)

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Sasa, S. I., & Hayashi, K. (2006). Computation of the Kolmogorov-Sinai entropy using statistitical mechanics: Application of an exchange Monte Carlo method. Europhysics Letters, 74(1), 156-162. https://doi.org/10.1209/epl/i2005-10515-2

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