A thermodynamic geometric study of R\'{e}nyi and Tsallis entropies

TL;DR

This paper explores the thermodynamic geometry of various entropies, including Rényi and Tsallis, revealing their association with interacting complex systems through Riemannian geometric analysis.

Contribution

It provides a geometric framework for analyzing complex systems using Rényi, Tsallis, Abe, and structural entropies, extending the understanding of their intrinsic geometry and interactions.

Findings

Riemannian manifolds are non-degenerate for all considered entropies.

Rényi, Tsallis, Abe, and structural entropies indicate interacting systems.

Gibbs-Shannon entropy describes non-interacting systems.

Abstract

A general investigation is made into the intrinsic Riemannian geometry for complex systems, from the perspective of statistical mechanics. The entropic formulation of statistical mechanics is the ingredient which enables a connection between statistical mechanics and the corresponding Riemannian geometry. The form of the entropy used commonly is the Shannon entropy. However, for modelling complex systems, it is often useful to make use of entropies such as the R\'{e}nyi and Tsallis entropies. We consider, here, Shannon, R\'{e}nyi, Tsallis, Abe and structural entropies, for our analysis. We focus on one, two and three particle thermally excited configurations. We find that statistical pair correlation functions, determined by the components of the covariant metric tensor of the underlying thermodynamic geometry, associated with the various entropies have well defined, definite expressions, which may be extended for arbitrary finite particle systems. In all cases, we find a non-degenerate intrinsic Riemannian manifold. In particular, any finite particle system described in terms of R\'{e}nyi, Tsallis, Abe and structural entropies, always corresponds to an interacting statistical system, thereby highlighting their importance in the study of complex systems. On the other hand, a statistical description by the Gibbs-Shannon entropy corresponds to a non-interacting system.