Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions

We present the main features of the mathematical theory generated by the √ κ-deformed exponential function expκ(x) = ( 1 + κ2x2 + κx)1/κ, with 0 ≤ κ < 1, developed in the last twelve years, which turns out to be a continuous one parameter deformation of the ordinary mathematics generated by the E...

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Main Author: Giorgio Kaniadakis
Format: Article
Language:English
Published: MDPI AG 2013-09-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/15/10/3983
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spelling doaj-f05a6b0ebed4413babab0ae4c5a1430d2020-11-24T20:57:10ZengMDPI AGEntropy1099-43002013-09-0115103983401010.3390/e15103983Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical DistributionsGiorgio KaniadakisWe present the main features of the mathematical theory generated by the √ κ-deformed exponential function expκ(x) = ( 1 + κ2x2 + κx)1/κ, with 0 ≤ κ < 1, developed in the last twelve years, which turns out to be a continuous one parameter deformation of the ordinary mathematics generated by the Euler exponential function. The κ-mathematics has its roots in special relativity and furnishes the theoretical foundations of the κ-statistical mechanics predicting power law tailed statistical distributions, which have been observed experimentally in many physical, natural and artificial systems. After introducing the κ-algebra, we present the associated κ-differential and κ-integral calculus. Then, we obtain the corresponding κ-exponential and κ-logarithm functions and give the κ-version of the main functions of the ordinary mathematics.http://www.mdpi.com/1099-4300/15/10/3983κ-statistical mechanicsκ-mathematicsκ-exponentialκ-logarithmpower-law tailed statistical distributions
collection DOAJ
language English
format Article
sources DOAJ
author Giorgio Kaniadakis
spellingShingle Giorgio Kaniadakis
Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions
Entropy
κ-statistical mechanics
κ-mathematics
κ-exponential
κ-logarithm
power-law tailed statistical distributions
author_facet Giorgio Kaniadakis
author_sort Giorgio Kaniadakis
title Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions
title_short Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions
title_full Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions
title_fullStr Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions
title_full_unstemmed Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions
title_sort theoretical foundations and mathematical formalism of the power-law tailed statistical distributions
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2013-09-01
description We present the main features of the mathematical theory generated by the √ κ-deformed exponential function expκ(x) = ( 1 + κ2x2 + κx)1/κ, with 0 ≤ κ < 1, developed in the last twelve years, which turns out to be a continuous one parameter deformation of the ordinary mathematics generated by the Euler exponential function. The κ-mathematics has its roots in special relativity and furnishes the theoretical foundations of the κ-statistical mechanics predicting power law tailed statistical distributions, which have been observed experimentally in many physical, natural and artificial systems. After introducing the κ-algebra, we present the associated κ-differential and κ-integral calculus. Then, we obtain the corresponding κ-exponential and κ-logarithm functions and give the κ-version of the main functions of the ordinary mathematics.
topic κ-statistical mechanics
κ-mathematics
κ-exponential
κ-logarithm
power-law tailed statistical distributions
url http://www.mdpi.com/1099-4300/15/10/3983
work_keys_str_mv AT giorgiokaniadakis theoreticalfoundationsandmathematicalformalismofthepowerlawtailedstatisticaldistributions
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