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Multiplicative processes as a source of fat-tail distributions

Many works in the literature are in favour of the universality of power-laws. However, more recently, a significant amount of research has exposed more subtle details about this subject. In this paper we present two generalisations that aim to solve these possible antagonistic conceptions in a mathe...

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Detalles Bibliográficos
Autores principales: Guerrero, Fabio G., Garcia-Baños, Angel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350158/
https://www.ncbi.nlm.nih.gov/pubmed/32671241
http://dx.doi.org/10.1016/j.heliyon.2020.e04266
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author Guerrero, Fabio G.
Garcia-Baños, Angel
author_facet Guerrero, Fabio G.
Garcia-Baños, Angel
author_sort Guerrero, Fabio G.
collection PubMed
description Many works in the literature are in favour of the universality of power-laws. However, more recently, a significant amount of research has exposed more subtle details about this subject. In this paper we present two generalisations that aim to solve these possible antagonistic conceptions in a mathematical framework. The first generalisation allows us to show that a vast range of power-laws can be produced through multiplicative process (for example through a single positive feedback mechanism). The second generalisation shows, by solving Lambert's transcendental equations, that the space of solutions where the Pareto distribution is equal to the distribution produced by the power multiplicative transformation (for a number of input distributions) is infinite.
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spelling pubmed-73501582020-07-14 Multiplicative processes as a source of fat-tail distributions Guerrero, Fabio G. Garcia-Baños, Angel Heliyon Article Many works in the literature are in favour of the universality of power-laws. However, more recently, a significant amount of research has exposed more subtle details about this subject. In this paper we present two generalisations that aim to solve these possible antagonistic conceptions in a mathematical framework. The first generalisation allows us to show that a vast range of power-laws can be produced through multiplicative process (for example through a single positive feedback mechanism). The second generalisation shows, by solving Lambert's transcendental equations, that the space of solutions where the Pareto distribution is equal to the distribution produced by the power multiplicative transformation (for a number of input distributions) is infinite. Elsevier 2020-07-08 /pmc/articles/PMC7350158/ /pubmed/32671241 http://dx.doi.org/10.1016/j.heliyon.2020.e04266 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Guerrero, Fabio G.
Garcia-Baños, Angel
Multiplicative processes as a source of fat-tail distributions
title Multiplicative processes as a source of fat-tail distributions
title_full Multiplicative processes as a source of fat-tail distributions
title_fullStr Multiplicative processes as a source of fat-tail distributions
title_full_unstemmed Multiplicative processes as a source of fat-tail distributions
title_short Multiplicative processes as a source of fat-tail distributions
title_sort multiplicative processes as a source of fat-tail distributions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350158/
https://www.ncbi.nlm.nih.gov/pubmed/32671241
http://dx.doi.org/10.1016/j.heliyon.2020.e04266
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