Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2009-06-03
Phys. Rev. E 80, 036210 (2009)
Nonlinear Sciences
Chaotic Dynamics
5 pages, 5 figures
Scientific paper
10.1103/PhysRevE.80.036210
We claim that looking at probability distributions of \emph{finite time} largest Lyapunov exponents, and more precisely studying their large deviation properties, yields an extremely powerful technique to get quantitative estimates of polynomial decay rates of time correlations and Poincar\'e recurrences in the -quite delicate- case of dynamical systems with weak chaotic properties.
Artuso Roberto
Manchein Cesar
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