Summary

Proceedings of the 2013 International Symposium on Nonlinear Theory and its Applications

2013

Session Number:A2L-B

Session:

Number:41

Forgetting and Remembering in Chaotic Dynamical Systems

Ryan G. James,  James P. Crutchfield,  

pp.41-41

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.2.41

PDF download (270.4KB)

Summary:
Chaotic systems generate information. The amount is quantified by the Kolmogorov-Sinai entropy or the Lyapunov exponents. When positive, a system is unpredictable and appears random. But what is the quality of this information? We answer this by showing that it consists of two components: randomness that a system forgets (ephemeral information) and randomness that a system remembers (bound information). We show how to calculate these informations in the logistic, tent, and Lozi maps, demonstrating that this new decomposition identifies hitherto unseen structural features in their dynamics.

References:

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[3] S. A. Abdallah, M. D. Plumbley, “A measure of statistical complexity based on predictive information with application to finite spin systems,” Physics Letters A, 376:4, p275-281, (2012).

[4] R. G. James, C. J. Ellison, J. P. Crutchfield, “Anatomy of a Bit: Information in a Time Series Observation,” Chaos, 21:3 (2011).