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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 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

Tsallis' q-Fourier transform is not generally one-to-one. It is shown here that, if we eliminate the requirement that $q$ be fixed, and let it instead "float", a simple extension of the $F_q-$definition, this procedure restores the…

Mathematical Physics · Physics 2013-10-16 A. Plastino , M. C. Rocca

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

It is a consensus in signal processing that the Gaussian kernel and its partial derivatives enable the development of robust algorithms for feature detection. Fourier analysis and convolution theory have central role in such development. In…

Computer Vision and Pattern Recognition · Computer Science 2016-05-03 Paulo Sérgio Silva Rodrigues , Gilson Antonio Giraldi

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

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

In the present article the author extends the Fourier transform to a more general class of functions; First to power-law functions with integer and half-integer exponents then to the widely used quantum statistics function (Fermi-Dirac and…

General Mathematics · Mathematics 2019-12-30 Cyril Belardinelli

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

In a recent paper Hilhorst \cite{Hilhorst2010} illustrated that the $q$-Fourier transform for $q>1$ is not invertible in the space of density functions. Using an invariance principle he constructed a family of densities with the same…

Statistical Mechanics · Physics 2010-12-09 Sabir Umarov , Constantino Tsallis

We discuss a generalized representation of the Dirac delta function in $d$ dimensions in terms of $q$-exponential functions. We apply this new representation to the study of the so-called $q$-Fourier transform, proving its invertibility for…

Mathematical Physics · Physics 2017-07-25 Gabriele Sicuro , Constantino Tsallis

In this work, we explore both the ordinary $q$-Gaussian distribution and a new one defined here, determining both their mean and variance, and we use them to construct solutions of the $q$-deformed diffusion differential equation. This…

Statistical Mechanics · Physics 2025-09-17 Won Sang Chung , L. M. Nieto , Soroush Zare , Hassan Hassanabadi

We discuss some of the mathematical properties of the fractional derivative defined by means of Fourier transforms. We first consider its action on the set of test functions $\Sc(\mathbb R)$, and then we extend it to its dual set,…

Mathematical Physics · Physics 2019-12-05 FAbio Bagarello

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 Fourier transform of a bounded measurable function, $f$, on the real line is shown to be the second distributional derivative of a H\"older continuous function. The Fourier transform is written as the difference of $\int_{-1}^1…

Classical Analysis and ODEs · Mathematics 2026-01-26 Erik Talvila

The functions on a lattice generated by the integer degrees of $q^2$ are considered, 0<q<1. The $q^2$-translation operator is defined. The multiplicators and the $q^2$-convolutors are defined in the functional spaces which are dual with…

Quantum Algebra · Mathematics 2009-10-31 V. -B. K. Rogov

A q-version of the Fourier transformation and some of its properties are discussed.

Classical Analysis and ODEs · Mathematics 2009-09-25 Richard A. Askey , Natig M. Atakishiyev , Serge\uı K. Suslov

There are several approaches to the fractional differential operator. Generalized q-fractional difference operator was defined in the aid of q-iterated Cauchy integral and q-calculus techniques. We introduce Caputo type derivative related…

General Mathematics · Mathematics 2020-01-30 M. Momenzadeh , S. Norouzpoor

Let F be a finite extension of Q_p. We show that every Schwartz function on F, with values in an algebraic closure of Q_p, is the uniform limit of a sequence of Schwartz functions, whose Fourier transforms tend uniformly to 0. The proof…

Number Theory · Mathematics 2016-07-14 Amit Ophir , Ehud de Shalit

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
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