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The influence of statistical properties of Fourier coefficients on random Gaussian surfaces

Many examples of natural systems can be described by random Gaussian surfaces. Much can be learned by analyzing the Fourier expansion of the surfaces, from which it is possible to determine the corresponding Hurst exponent and consequently establish the presence of scale invariance. We show that thi...

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Autores principales: de Castro, C. P., Luković, M., Andrade, R. F. S., Herrmann, H. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434017/
https://www.ncbi.nlm.nih.gov/pubmed/28512343
http://dx.doi.org/10.1038/s41598-017-02135-y
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author de Castro, C. P.
Luković, M.
Andrade, R. F. S.
Herrmann, H. J.
author_facet de Castro, C. P.
Luković, M.
Andrade, R. F. S.
Herrmann, H. J.
author_sort de Castro, C. P.
collection PubMed
description Many examples of natural systems can be described by random Gaussian surfaces. Much can be learned by analyzing the Fourier expansion of the surfaces, from which it is possible to determine the corresponding Hurst exponent and consequently establish the presence of scale invariance. We show that this symmetry is not affected by the distribution of the modulus of the Fourier coefficients. Furthermore, we investigate the role of the Fourier phases of random surfaces. In particular, we show how the surface is affected by a non-uniform distribution of phases.
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spelling pubmed-54340172017-05-17 The influence of statistical properties of Fourier coefficients on random Gaussian surfaces de Castro, C. P. Luković, M. Andrade, R. F. S. Herrmann, H. J. Sci Rep Article Many examples of natural systems can be described by random Gaussian surfaces. Much can be learned by analyzing the Fourier expansion of the surfaces, from which it is possible to determine the corresponding Hurst exponent and consequently establish the presence of scale invariance. We show that this symmetry is not affected by the distribution of the modulus of the Fourier coefficients. Furthermore, we investigate the role of the Fourier phases of random surfaces. In particular, we show how the surface is affected by a non-uniform distribution of phases. Nature Publishing Group UK 2017-05-16 /pmc/articles/PMC5434017/ /pubmed/28512343 http://dx.doi.org/10.1038/s41598-017-02135-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
de Castro, C. P.
Luković, M.
Andrade, R. F. S.
Herrmann, H. J.
The influence of statistical properties of Fourier coefficients on random Gaussian surfaces
title The influence of statistical properties of Fourier coefficients on random Gaussian surfaces
title_full The influence of statistical properties of Fourier coefficients on random Gaussian surfaces
title_fullStr The influence of statistical properties of Fourier coefficients on random Gaussian surfaces
title_full_unstemmed The influence of statistical properties of Fourier coefficients on random Gaussian surfaces
title_short The influence of statistical properties of Fourier coefficients on random Gaussian surfaces
title_sort influence of statistical properties of fourier coefficients on random gaussian surfaces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434017/
https://www.ncbi.nlm.nih.gov/pubmed/28512343
http://dx.doi.org/10.1038/s41598-017-02135-y
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