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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7350158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT guerrerofabiog multiplicativeprocessesasasourceoffattaildistributions AT garciabanosangel multiplicativeprocessesasasourceoffattaildistributions |