Typicality, entropy and the generalization of statistical mechanics
Bernat Corominas-Murtra, Rudolf Hanel, Petr Jizba

TL;DR
This paper explores how the concept of typicality and entropy, fundamental in statistical mechanics, can be extended to complex systems beyond traditional assumptions, using toy models and entropy generalizations.
Contribution
It introduces a framework connecting typicality, entropy measures, and thermodynamic quantities, proposing ways to generalize statistical mechanics to complex systems.
Findings
Typicality relates to Shannon, Renyi, and Tsallis entropies.
Connections between typical sets, free energy, and partition functions.
Potential generalizations of typicality to non-traditional systems.
Abstract
When at equilibrium, large-scale systems obey conventional thermodynamics because they belong to microscopic configurations (or states) that are typical. Crucially, the typical states usually represent only a small fraction of the total number of possible states, and yet the characterization of the set of typical states -- the typical set -- alone is sufficient to describe the macroscopic behavior of a given system. Consequently, the concept of typicality, and the associated Asymptotic Equipartition Property allow for a drastic reduction of the degrees of freedom needed for system's statistical description. The mathematical rationale for such a simplification in the description is due to the phenomenon of concentration of measure. The later emerges for equilibrium configurations thanks to very strict constraints on the underlying dynamics, such as weekly interacting and (almost)…
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