Universality Classes and Information-Theoretic Measures of Complexity via Group Entropies
Statistical Mechanics
2019-10-21 v2
Abstract
We introduce a class of information measures based on group entropies, allowing us to describe the information-theoretical properties of complex systems. These entropic measures are nonadditive, and are mathematically deduced from a series of natural requirements. In particular, we introduce an extensivity postulate as a natural requirement for an information measure to be meaningful. The information measures proposed are suitably defined for describing universality classes of complex systems, each characterized by a specific phase space growth rate function.
Keywords
Cite
@article{arxiv.1903.07698,
title = {Universality Classes and Information-Theoretic Measures of Complexity via Group Entropies},
author = {Piergiulio Tempesta and Henrik Jeldtoft Jensen},
journal= {arXiv preprint arXiv:1903.07698},
year = {2019}
}
Comments
14 pages. No figures