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 journalArticle

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 languageEnglish
Pages (from-to)156-162
Number of pages7
JournalEurophysics Letters
Volume74
Issue number1
DOIs
Publication statusPublished - 2006 Apr 1
Externally publishedYes

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'Computation of the Kolmogorov-Sinai entropy using statistitical mechanics: Application of an exchange Monte Carlo method'. Together they form a unique fingerprint.

  • Cite this