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Information-geometric indicators of Chaos in Gaussian models on statistical manifolds of negative ricci curvature

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18 Scopus citations

Abstract

A new information-geometric approach to chaotic dynamics on curved statistical manifolds based on Entropic Dynamics (ED) is proposed. It is shown that the hyperbolicity of a non-maximally symmetric 6N-dimensional statistical manifold s underlying an ED Gaussian model describing an arbitrary system of 3N degrees of freedom leads to linear information-geometric entropy growth and to exponential divergence of the Jacobi vector field intensity, quantum and classical features of chaos respectively.

Original languageEnglish
Pages (from-to)2924-2933
Number of pages10
JournalInternational Journal of Theoretical Physics
Volume47
Issue number11
DOIs
StatePublished - Nov 2008

Keywords

  • Chaos
  • Entropy
  • Inductive inference
  • Information geometry
  • Nonlinear dynamics
  • Statistical manifolds

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