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Published on: May 8, 2021
Information transfer between dynamical system components
1Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, USA. sanliang@cims.nyu.edu
Abstract:
We present a rigorous formalism of information transfer for systems with dynamics fully known. This follows from an accurate classification of the mechanisms for the entropy change of one component into a self-evolution plus a transfer from the other component. The formalism applies to both continuous flows and discrete maps. The resulting transfer measure possesses a property of asymmetry and is qualitatively consistent with the classical measures. It is further validated with the baker transformation and the Hénon map.
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