paper

Symmetric -Stable Distributions. Part I: First Representation

arXiv:cond-mat/0606038

Abstract

The classic central limit theorem and -stable distributions play a key role in probability theory, and also in Boltzmann-Gibbs (BG) statistical mechanics. They both concern the paradigmatic case of probabilistic independence of the random variables that are being summed. A generalization of the BG theory, usually referred to as nonextensive statistical mechanics and characterized by the index ( recovers the BG theory), introduces special (long range) correlations between the random variables, and recovers independence for . Recently, a -central limit theorem consistent with nonextensive statistical mechanics was established \cite{UmarovTsallisSteinberg} which generalizes the classic Central Limit Theorem. In the present paper we introduce and study symmetric -stable distributions. The case recovers the Lévy -stable distributions.

17 pages including 3 figures

Symmetric $(q,α)$-Stable Distributions. Part I: First Representation · wovepaper