Introduction to Nonextensive Statistical Mechanics and Thermodynamics

TL;DR

This paper reviews nonextensive statistical mechanics based on the generalized entropy $S_q$, highlighting its properties, applications, and the importance of calculating the parameter $q$ for describing non-ergodic systems.

Contribution

It introduces the framework of nonextensive thermodynamics using $S_q$, emphasizing its distinct properties and applicability to non-ergodic systems, and discusses methods to determine the parameter $q$.

Findings

$S_q$ generalizes Boltzmann-Gibbs entropy for non-ergodic systems.

The framework describes a wide range of natural and artificial systems.

Methods to compute $q$ are presented with example models.

Abstract

In this lecture we briefly review the definition, consequences and applications of an entropy, $S_q$, which generalizes the usual Boltzmann-Gibbs entropy $S_{BG}$ ($S_1=S_{BG}$), basis of the usual statistical mechanics, well known to be applicable whenever ergodicity is satisfied at the microscopic dynamical level. Such entropy $S_q$ is based on the notion of $q$-exponential and presents properties not shared by other available alternative generalizations of $S_{BG}$. The thermodynamics proposed in this way is generically {\it nonextensive} in a sense that will be qualified. The present framework seems to describe quite well a vast class of natural and artificial systems which are not ergodic nor close to it. The a priori calculation of $q$ is necessary to complete the theory and we present some models where this has already been achieved.