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Thermodynamic aspects of information transfer in complex dynamical systems
Carlo Cafaro1, Sean Alan Ali2, Adom Giffin3
1SUNY Polytechnic Institute, 12203 Albany, New York, USA.
Physical Review. E
|March 18, 2016
Summary
This study links Horowitz-Esposito
Area of Science:
- Thermodynamics
- Information Theory
- Dynamical Systems
Background:
- The Horowitz-Esposito analysis describes information flow in dynamical systems, noting subsystem entropic balance depends on mutual information exchange.
- The Liang-Kleeman work addresses information transfer between components of dynamical systems.
Purpose of the Study:
- To quantitatively discuss the conceptual link between Horowitz-Esposito and Liang-Kleeman information transfer analyses.
- To compare the entropic balance arguments used in both formalisms.
Main Methods:
- Comparative analysis of entropic balance arguments from two distinct theoretical frameworks.
- Quantitative discussion linking stochastic thermodynamics and information transfer concepts.
Main Results:
- The study reveals a formal analogy between the entropic balance arguments of Horowitz-Esposito and Liang-Kleeman.
- The Horowitz-Esposito framework provides a thermodynamic basis for the Liang-Kleeman heuristic.
Conclusions:
- The research strengthens the Liang-Kleeman heuristic reasoning by demonstrating its formal analogy with Horowitz-Esposito thermodynamic arguments.
- This work bridges stochastic thermodynamics and information transfer theories in dynamical systems.
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