Hierarchical Markovian modeling of multi-time scale systems

Details Hierarchical Markovian modeling of multi-time scale systems Hierarchical Markovian modeling of multi-time scale systems

2002-01-15

arxiv.org/abs/nlin/0201027v2

Nonlinear Sciences

Chaotic Dynamics

17 pages, 10 figures, submitted to Physica D

Scientific paper

We present a systematic way to analyze and model systems having many characteristic time-scales. The method we propose is employed for a test-case of a meandering jet model manifesting chaotic tracer dispersion with long time-correlations. We first choose a suitable state space partition and analyze the symbolic dynamics associated to the fluid particle position. In a second step we construct a stochastic process in terms of a multi-time Markovian model. This corresponds to a hierarchy of random travelers on a graph where each traveler moves at his own time scale. The results are compared on the basis of statistical measures such as entropies and correlation functions.

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