Journal of Statistical Physics

, Volume 167, Issue 5, pp 1221–1232 | Cite as

Information Dynamics at a Phase Transition

Article

Abstract

We propose a new way of investigating phase transitions in the context of information theory. We use an information-entropic measure of spatial complexity known as configurational entropy (CE) to quantify both the storage and exchange of information in a lattice simulation of a Ginzburg–Landau model with a scalar order parameter coupled to a heat bath. The CE is built from the Fourier spectrum of fluctuations around the mean-field and reaches a minimum at criticality. In particular, we investigate the behavior of CE near and at criticality, exploring the relation between information and the emergence of ordered domains. We show that as the temperature is increased from below, the CE displays three essential scaling regimes at different spatial scales: scale free, turbulent, and critical. Together, they offer an information-entropic characterization of critical behavior where the storage and fidelity of information processing is maximized at criticality.

Keywords

Information theory Complexity Phase transitions Critical phenomena Configurational entropy 

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Center for Sleep and ConsciousnessUniversity of WisconsinMadisonUSA
  2. 2.Department of Physics and AstronomyDartmouth CollegeHanoverUSA

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