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Quasi-Static Variation of Power-Law and Log-Normal Distributions of Urban Population
We analytically derived and confirmed by empirical data the following three relations from the quasi-time-reversal symmetry, Gibrat’s law, and the non-Gibrat’s property observed in the urban population data of France. The first is the relation between the time variation of the power law and the quas...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303628/ https://www.ncbi.nlm.nih.gov/pubmed/34356449 http://dx.doi.org/10.3390/e23070908 |
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author | Ishikawa, Atushi Fujimoto, Shouji Ramos, Arturo Mizuno, Takayuki |
author_facet | Ishikawa, Atushi Fujimoto, Shouji Ramos, Arturo Mizuno, Takayuki |
author_sort | Ishikawa, Atushi |
collection | PubMed |
description | We analytically derived and confirmed by empirical data the following three relations from the quasi-time-reversal symmetry, Gibrat’s law, and the non-Gibrat’s property observed in the urban population data of France. The first is the relation between the time variation of the power law and the quasi-time-reversal symmetry in the large-scale range of a system that changes quasi-statically. The second is the relation between the time variation of the log-normal distribution and the quasi-time-reversal symmetry in the mid-scale range. The third is the relation among the parameters of log-normal distribution, non-Gibrat’s property, and quasi-time-reversal symmetry. |
format | Online Article Text |
id | pubmed-8303628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83036282021-07-25 Quasi-Static Variation of Power-Law and Log-Normal Distributions of Urban Population Ishikawa, Atushi Fujimoto, Shouji Ramos, Arturo Mizuno, Takayuki Entropy (Basel) Article We analytically derived and confirmed by empirical data the following three relations from the quasi-time-reversal symmetry, Gibrat’s law, and the non-Gibrat’s property observed in the urban population data of France. The first is the relation between the time variation of the power law and the quasi-time-reversal symmetry in the large-scale range of a system that changes quasi-statically. The second is the relation between the time variation of the log-normal distribution and the quasi-time-reversal symmetry in the mid-scale range. The third is the relation among the parameters of log-normal distribution, non-Gibrat’s property, and quasi-time-reversal symmetry. MDPI 2021-07-17 /pmc/articles/PMC8303628/ /pubmed/34356449 http://dx.doi.org/10.3390/e23070908 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ishikawa, Atushi Fujimoto, Shouji Ramos, Arturo Mizuno, Takayuki Quasi-Static Variation of Power-Law and Log-Normal Distributions of Urban Population |
title | Quasi-Static Variation of Power-Law and Log-Normal Distributions of Urban Population |
title_full | Quasi-Static Variation of Power-Law and Log-Normal Distributions of Urban Population |
title_fullStr | Quasi-Static Variation of Power-Law and Log-Normal Distributions of Urban Population |
title_full_unstemmed | Quasi-Static Variation of Power-Law and Log-Normal Distributions of Urban Population |
title_short | Quasi-Static Variation of Power-Law and Log-Normal Distributions of Urban Population |
title_sort | quasi-static variation of power-law and log-normal distributions of urban population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303628/ https://www.ncbi.nlm.nih.gov/pubmed/34356449 http://dx.doi.org/10.3390/e23070908 |
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