A rigorous formalism of information transfer between dynamical system components. II. Continuous flow

DOI10.1016/J.PHYSD.2006.12.012zbMath1152.94367OpenAlexW2118628822MaRDI QIDQ878969

Richard Kleeman, X. San Liang

Publication date: 4 May 2007

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physd.2006.12.012

zbMATH Keywords

causalityinformation transfercontinuous dynamical systementropy evolutiontruncated Burgers--Hopf system

Mathematics Subject Classification ID

Applications of dynamical systems (37N99) Measures of information, entropy (94A17)

Related Items (6)

A general theory to estimate information transfer in nonlinear systems ⋮ Local predictability and information flow in complex dynamical systems ⋮ Information theory and dynamical system predictability ⋮ Causation and information flow with respect to relative entropy ⋮ A rigorous formalism of information transfer between dynamical system components. I. Discrete mapping ⋮ The Liang-Kleeman information flow: theory and applications

Cites Work

• A rigorous formalism of information transfer between dynamical system components. I. Discrete mapping
• Chaos, fractals, and noise: Stochastic aspects of dynamics.
• Statistical mechanics for truncations of the Burgers-Hopf equation: a model for intrinsic stochastic behavior with scaling
• Remarkable statistical behavior for truncated Burgers–Hopf dynamics
• Hamiltonian structure and statistically relevant conserved quantities for the truncated Burgers‐Hopf equation

This page was built for publication: A rigorous formalism of information transfer between dynamical system components. II. Continuous flow