English

Symmetric $(q,\alpha)$-Stable Distributions. Part I: First Representation

Statistical Mechanics 2008-05-04 v2 Probability

Abstract

The classic central limit theorem and α\alpha-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 qq (q=1q=1 recovers the BG theory), introduces special (long range) correlations between the random variables, and recovers independence for q=1q=1. Recently, a qq-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 (q,α)(q,\alpha)-stable distributions. The case q=1q=1 recovers the L\'evy α\alpha-stable distributions.

Keywords

Cite

@article{arxiv.cond-mat/0606038,
  title  = {Symmetric $(q,\alpha)$-Stable Distributions. Part I: First Representation},
  author = {Sabir Umarov and Constantino Tsallis and Murray Gell-Mann and Stanly Steinberg},
  journal= {arXiv preprint arXiv:cond-mat/0606038},
  year   = {2008}
}

Comments

17 pages including 3 figures

R2 v1 2026-07-22T11:32:56.834Z