Dynamical estimates of chaotic systems from Poincare recurrences.

Autor: Baptista MS; Institute for Complex Systems and Mathematical Biology, King's College, University of Aberdeen, AB24 3UE Aberdeen, United Kingdom., Maranhão DM, Sartorelli JC
Jazyk: angličtina
Zdroj: Chaos (Woodbury, N.Y.) [Chaos] 2009 Dec; Vol. 19 (4), pp. 043115.
DOI: 10.1063/1.3263943
Abstrakt: We show a function that fits well the probability density of return times between two consecutive visits of a chaotic trajectory to finite size regions in phase space. It deviates from the exponential statistics by a small power-law term, a term that represents the deterministic manifestation of the dynamics. We also show how one can quickly and easily estimate the Kolmogorov-Sinai entropy and the short-term correlation function by realizing observations of high probable returns. Our analyses are performed numerically in the Henon map and experimentally in a Chua's circuit. Finally, we discuss how our approach can be used to treat the data coming from experimental complex systems and for technological applications.
Databáze: MEDLINE