On the recurrence and robust properties of Lorenz'63 model
Michele Gianfelice, Filippo Maimone, Vinicio Pelino, Sandro Vaienti

TL;DR
This paper investigates the Lorenz'63 model's recurrence properties and statistical stability, providing insights into its invariant measures and the predictability of extreme events through a Lorenz-like map.
Contribution
It introduces a Lorenz-like map to analyze the model's recurrence and stability, advancing understanding of its invariant and SRB measures.
Findings
Invariant density and recurrence features characterized
Statistical stability of the invariant measure proved
Insights into predictability of extreme values obtained
Abstract
Lie-Poisson structure of the Lorenz'63 system gives a physical insight on its dynamical and statistical behavior considering the evolution of the associated Casimir functions. We study the invariant density and other recurrence features of a Markov expanding Lorenz-like map of the interval arising in the analysis of the predictability of the extreme values reached by particular physical observables evolving in time under the Lorenz'63 dynamics with the classical set of parameters. Moreover, we prove the statistical stability of such an invariant measure. This will allow us to further characterize the SRB measure of the system.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Chaos control and synchronization · Image and Signal Denoising Methods
