title: Dynamical estimates of chaotic systems from Poincare recurrences.
abstract: 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.
authors.affiliation: Institute for Complex Systems and Mathematical Biology, King's College, University of Aberdeen, AB24 3UE Aberdeen, United Kingdom.
authors.forename: M S
authors.initials: MS
authors.lastname: Baptista
authors.forename: Dariel M
authors.initials: DM
authors.lastname: Maranhão
authors.forename: J C
authors.initials: JC
authors.lastname: Sartorelli
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D015233:Models, Statistical; D017711:Nonlinear Dynamics