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Definition of fractal topography to essential understanding of scale-invariance

Fractal behavior is scale-invariant and widely characterized by fractal dimension. However, the cor-respondence between them is that fractal behavior uniquely determines a fractal dimension while a fractal dimension can be related to many possible fractal behaviors. Therefore, fractal behavior is in...

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Autores principales: Jin, Yi, Wu, Ying, Li, Hui, Zhao, Mengyu, Pan, Jienan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5402397/
https://www.ncbi.nlm.nih.gov/pubmed/28436450
http://dx.doi.org/10.1038/srep46672
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author Jin, Yi
Wu, Ying
Li, Hui
Zhao, Mengyu
Pan, Jienan
author_facet Jin, Yi
Wu, Ying
Li, Hui
Zhao, Mengyu
Pan, Jienan
author_sort Jin, Yi
collection PubMed
description Fractal behavior is scale-invariant and widely characterized by fractal dimension. However, the cor-respondence between them is that fractal behavior uniquely determines a fractal dimension while a fractal dimension can be related to many possible fractal behaviors. Therefore, fractal behavior is independent of the fractal generator and its geometries, spatial pattern, and statistical properties in addition to scale. To mathematically describe fractal behavior, we propose a novel concept of fractal topography defined by two scale-invariant parameters, scaling lacunarity (P) and scaling coverage (F). The scaling lacunarity is defined as the scale ratio between two successive fractal generators, whereas the scaling coverage is defined as the number ratio between them. Consequently, a strictly scale-invariant definition for self-similar fractals can be derived as D = log F /log P. To reflect the direction-dependence of fractal behaviors, we introduce another parameter H(xy), a general Hurst exponent, which is analytically expressed by H(xy) = log P(x)/log P(y) where P(x) and P(y) are the scaling lacunarities in the x and y directions, respectively. Thus, a unified definition of fractal dimension is proposed for arbitrary self-similar and self-affine fractals by averaging the fractal dimensions of all directions in a d-dimensional space, which [Image: see text]. Our definitions provide a theoretical, mechanistic basis for understanding the essentials of the scale-invariant property that reduces the complexity of modeling fractals.
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spelling pubmed-54023972017-04-26 Definition of fractal topography to essential understanding of scale-invariance Jin, Yi Wu, Ying Li, Hui Zhao, Mengyu Pan, Jienan Sci Rep Article Fractal behavior is scale-invariant and widely characterized by fractal dimension. However, the cor-respondence between them is that fractal behavior uniquely determines a fractal dimension while a fractal dimension can be related to many possible fractal behaviors. Therefore, fractal behavior is independent of the fractal generator and its geometries, spatial pattern, and statistical properties in addition to scale. To mathematically describe fractal behavior, we propose a novel concept of fractal topography defined by two scale-invariant parameters, scaling lacunarity (P) and scaling coverage (F). The scaling lacunarity is defined as the scale ratio between two successive fractal generators, whereas the scaling coverage is defined as the number ratio between them. Consequently, a strictly scale-invariant definition for self-similar fractals can be derived as D = log F /log P. To reflect the direction-dependence of fractal behaviors, we introduce another parameter H(xy), a general Hurst exponent, which is analytically expressed by H(xy) = log P(x)/log P(y) where P(x) and P(y) are the scaling lacunarities in the x and y directions, respectively. Thus, a unified definition of fractal dimension is proposed for arbitrary self-similar and self-affine fractals by averaging the fractal dimensions of all directions in a d-dimensional space, which [Image: see text]. Our definitions provide a theoretical, mechanistic basis for understanding the essentials of the scale-invariant property that reduces the complexity of modeling fractals. Nature Publishing Group 2017-04-24 /pmc/articles/PMC5402397/ /pubmed/28436450 http://dx.doi.org/10.1038/srep46672 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Jin, Yi
Wu, Ying
Li, Hui
Zhao, Mengyu
Pan, Jienan
Definition of fractal topography to essential understanding of scale-invariance
title Definition of fractal topography to essential understanding of scale-invariance
title_full Definition of fractal topography to essential understanding of scale-invariance
title_fullStr Definition of fractal topography to essential understanding of scale-invariance
title_full_unstemmed Definition of fractal topography to essential understanding of scale-invariance
title_short Definition of fractal topography to essential understanding of scale-invariance
title_sort definition of fractal topography to essential understanding of scale-invariance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5402397/
https://www.ncbi.nlm.nih.gov/pubmed/28436450
http://dx.doi.org/10.1038/srep46672
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