# Generalised asymptotic equivalence for extensive and non-extensive entropies

## TL;DR

This paper extends asymptotic analysis to classify extensive and non-extensive entropies, establishing connections between different entropy measures and their behavior in the thermodynamic limit.

## Contribution

It generalizes the asymptotic classification framework to include a broad class of entropies, linking Markovian and non-Markovian systems through fundamental entropy sets.

## Key findings

- Classified various entropy measures into equivalence classes
- Analyzed the thermodynamic limit behavior of Tsallis, Sharma-Mittal, and Rényi entropies
- Established connections between additive and non-additive entropies

## Abstract

We extend the Hanel and Thurner asymptotic analysis to both extensive and non-extensive entropies on the basis of a wide class of entropic forms. The procedure is known to be capable to classify multiple entropy measures in terms of their defining equivalence classes. Those are determined by a pair of scaling exponents taking into account a large number of microstates as for the thermodynamical limit. Yet, a generalisation to this formulation makes it possible to establish an entropic connection between Markovian and non-Markovian statistical systems through a set of fundamental entropies $S_{\pm}$, which have been studied in other contexts and exhibit, among their attributes, two interesting aspects: They behave as additive for a large number of degrees of freedom while they are substantially non-additive for a small number of them. Furthermore, an ample amount of special entropy measures, either additive or non-additive, are contained in such asymptotic classification. Under this scheme we analyse the equivalence classes of Tsallis, Sharma-Mittal and R\'enyi entropies and study their features in the thermodynamic limit as well as the correspondences among them.