Estimating the Shannon Entropy: Recurrence Plots versus Symbolic Dynamics

Christophe Letellier
Phys. Rev. Lett. 96, 254102 – Published 29 June 2006

Abstract

Recurrence plots were first introduced to quantify the recurrence properties of chaotic dynamics. A few years later, the recurrence quantification analysis was introduced to transform graphical representations into statistical analysis. Among the different measures introduced, a Shannon entropy was found to be correlated with the inverse of the largest Lyapunov exponent. The discrepancy between this and the usual interpretation of a Shannon entropy is solved here by using a new definition—still based on the recurrence plots—and it is verified that this new definition is correlated with the largest Lyapunov exponent, as expected from the Pesin conjecture. A comparison with a Shannon entropy computed from symbolic dynamics is also provided.

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  • Received 6 January 2006

DOI:https://doi.org/10.1103/PhysRevLett.96.254102

©2006 American Physical Society

Authors & Affiliations

Christophe Letellier

  • CORIA UMR 6614—Université de Rouen, Avenue de l’Université, Boîte Postale 12, F-76801 Saint-Etienne du Rouvray cedex, France

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Issue

Vol. 96, Iss. 25 — 30 June 2006

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