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Configurational Information Measures, Phase Transitions, and an Upper Bound on Complexity

2025/03/04 by Sowinski, Damian R, Kelty, Sean, Ghoshal, Gourab
#Adaptation and Self-Organizing Systems (nlin.AO) #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Mathematical Physics (math-ph) #Pattern Formation and Solitons (nlin.PS) #Statistical Mechanics (cond-mat.stat-mech)

paper · doi:10.48550/arxiv.2503.02980

Abstract

Configurational entropy (CE) and configurational complexity (CC) are recently popularized information theoretic measures used to study the stability of solitons. This paper examines their behavior for 2D and 3D lattice Ising Models, where the quasi-stability of fluctuating domains is controlled by proximity to the critical temperature. Scaling analysis lends support to an unproven conjecture that these configurational information measures (CIMs) can detect (in)stability in field theories. The primary results herein are the derivation of a model dependent CC-CE relationship, as well as a model independent upper bound on CC. CIM phenomenology in the Ising universality class reveals multiple avenues for future research.

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