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Related papers: Limit distribution in the $q$-CLT for $q \ge 1$ ca…

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In a paper by Umarov, Tsallis and Steinberg (2008), a generalization of the Fourier transform, called the $q$-Fourier transform, was introduced and applied for the proof of a $q$-generalized central limit theorem ($q$-CLT). Subsequently,…

Statistical Mechanics · Physics 2016-10-12 Sabir Umarov , Constantino Tsallis

A q-modified version of the central limit theorem due to Umarov et al. affirms that q-Gaussians are attractors under addition and rescaling of certain classes of strongly correlated random variables. The proof of this theorem rests on a…

Statistical Mechanics · Physics 2015-05-19 H. J. Hilhorst

A wide class of physical distributions appears to follow the q-Gaussian form, which plays the role of attractor according to a Central Limit Theorem generalized in the presence of specific correlations between the relevant random variables.…

Mathematical Physics · Physics 2015-03-17 M. Jauregui , C. Tsallis

We appeal to a complex q-Fourier transform as a generalization of the (real) one analyzed in [Milan J. Math. {\bf 76} (2008) 307]. By recourse to tempered ultra-distributions we are able to show that the q-Gaussian distribution can be…

Mathematical Physics · Physics 2015-06-12 A. Plastino , M. C. Rocca

By recourse to tempered ultradistributions, we show here that the effect of a q-Fourier transform (qFT) is to map {\it equivalence classes} of functions into other classes in a one-to-one fashion. This suggests that Tsallis' q-statistics…

Mathematical Physics · Physics 2015-07-22 A. Plastino , M. C. Rocca

It was recently proven [Hilhorst, JSTAT, P10023 (2010)] that the q-generalization of the Fourier transform is not invertible in the full space of probability density functions for q > 1. It has also been recently shown that this…

Mathematical Physics · Physics 2011-10-18 M. Jauregui , C. Tsallis , E. M. F. Curado

The q-Gaussian function emerges naturally in various applications of statistical mechanics of non-ergodic and complex systems. In particular it was shown that in the theory of binary processes with correlations, the q-Gaussian can appear as…

Mathematical Physics · Physics 2013-01-17 Angel Akio Tateishi , Rudolf Hanel , Stefan Thurner

We consider probabilistic models of N identical distinguishable, binary random variables. If these variables are strictly or asymptotically independent, then, for N>>1, (i) the attractor in distribution space is, according to the standard…

Statistical Mechanics · Physics 2009-11-11 John A. Marsh , Miguel A. Fuentes , Luis G. Moyano , Constantino Tsallis

In this article we review recent generalisations of the central limit theorem for the sum of specially correlated (or q-independent) variables, focusing on q greater or equal than 1. Specifically, this kind of correlation turns the…

Statistical Mechanics · Physics 2007-12-16 Silvio M. Duarte Queiros , Constantino Tsallis

In the paper the question - Is the q-Fourier transform of a q-Gaussian a q'-Gaussian (with some q') up to a constant factor? - is studied for the whole range of $q\in (-\infty, 3)$. This question is connected with applicability of the…

Statistical Mechanics · Physics 2010-02-24 Sabir Umarov , Silvio M. Duarte Queiros

The sum of $N$ sufficiently strongly correlated random variables will not in general be Gaussian distributed in the limit N\to\infty. We revisit examples of sums x that have recently been put forward as instances of variables obeying a…

Statistical Mechanics · Physics 2009-11-13 H. J. Hilhorst , G. Schehr

A recent generalization of the Central Limit Theorem consistent with nonextensive statistical mechanics has been recently achieved through a generalized Fourier transform, noted $q$-Fourier transform. A representation formula for the…

Statistical Mechanics · Physics 2009-11-13 Sabir Umarov , Constantino Tsallis

We show that there exists a very natural, superstatistics-linked extension of the central limit theorem (CLT) to deformed exponentials (also called q-Gaussians): This generalization favorably compares with the one provided by S. Umarov and…

Statistical Mechanics · Physics 2007-06-04 C. Vignat , A. Plastino

The q-Gaussians are discussed from the point of view of variance mixtures of normals and exchangeability. For each q< 3, there is a q-Gaussian distribution that maximizes the Tsallis entropy under suitable constraints. This paper shows that…

Probability · Mathematics 2015-05-14 Marjorie G. Hahn , Xinxin Jiang , Sabir Umarov

This paper is a continuation of papers \cite{UmarovTsallisSteinberg,UmarovTsallisGellmannSteinberg}. In Part I \cite{UmarovTsallisGellmannSteinberg} a description (representation) of $(q,\alpha)$-stable distributions based on a…

Statistical Mechanics · Physics 2008-05-05 Sabir Umarov , Constantino Tsallis , Murray Gell-Mann , Stanly Steinberg

We find the limit distributions for a spectrum of a system of n particles governed by a k-body interaction. The hamiltonian of this system is modelled by a Gaussian random matrix. We show that the limit distribution is a q-deformed Gaussian…

Nuclear Theory · Physics 2012-10-29 Piotr Sniady

We introduce a class of probability measures whose densities near infinity are mixtures of Pareto distributions. This class can be characterized by the Fourier transform which has a power series expansion including real powers, not only…

Probability · Mathematics 2013-12-04 Takahiro Hasebe

We study the "Fourier symmetry" of measures and distributions on the circle, in relation with the size of their supports. The main results of this paper are: (1) A one-side extension of Frostman's theorem, which connects the rate of decay…

Classical Analysis and ODEs · Mathematics 2015-03-14 Gady Kozma , Alexander Olevskii

Let $d$ be a probability distribution. Under certain mild conditions we show that $$ \lim_{x\to\infty}x\sum_{n=1}^\infty \frac{d^{*n}(x)}{n}=1,\qquad\text{where}\quad d^{*n}:=\underbrace{\,d*d*\cdots*d\,}_{n\text{ times}}. $$ For a…

Number Theory · Mathematics 2015-05-14 William D. Banks , Konstantin A. Makarov

q-Gaussian distribution appear in many science areas where we can find systems that could be described within a nonextensive framework. Usually, a way to assert that these systems belongs to nonextensive framework is by means of numerical…

Data Analysis, Statistics and Probability · Physics 2017-03-21 Wagner S. de Lima , Emerson L. de Santa Helena
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