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Discrete Transforms and Orthogonal Polynomials of (Anti)symmetric Multivariate Sine Functions

Sixteen types of the discrete multivariate transforms, induced by the multivariate antisymmetric and symmetric sine functions, are explicitly developed. Provided by the discrete transforms, inherent interpolation methods are formulated. The four generated classes of the corresponding orthogonal poly...

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Detalles Bibliográficos
Autores principales: Brus, Adam, Hrivnák, Jiří, Motlochová, Lenka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512525/
https://www.ncbi.nlm.nih.gov/pubmed/33266662
http://dx.doi.org/10.3390/e20120938
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author Brus, Adam
Hrivnák, Jiří
Motlochová, Lenka
author_facet Brus, Adam
Hrivnák, Jiří
Motlochová, Lenka
author_sort Brus, Adam
collection PubMed
description Sixteen types of the discrete multivariate transforms, induced by the multivariate antisymmetric and symmetric sine functions, are explicitly developed. Provided by the discrete transforms, inherent interpolation methods are formulated. The four generated classes of the corresponding orthogonal polynomials generalize the formation of the Chebyshev polynomials of the second and fourth kinds. Continuous orthogonality relations of the polynomials together with the inherent weight functions are deduced. Sixteen cubature rules, including the four Gaussian, are produced by the related discrete transforms. For the three-dimensional case, interpolation tests, unitary transform matrices and recursive algorithms for calculation of the polynomials are presented.
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spelling pubmed-75125252020-11-09 Discrete Transforms and Orthogonal Polynomials of (Anti)symmetric Multivariate Sine Functions Brus, Adam Hrivnák, Jiří Motlochová, Lenka Entropy (Basel) Article Sixteen types of the discrete multivariate transforms, induced by the multivariate antisymmetric and symmetric sine functions, are explicitly developed. Provided by the discrete transforms, inherent interpolation methods are formulated. The four generated classes of the corresponding orthogonal polynomials generalize the formation of the Chebyshev polynomials of the second and fourth kinds. Continuous orthogonality relations of the polynomials together with the inherent weight functions are deduced. Sixteen cubature rules, including the four Gaussian, are produced by the related discrete transforms. For the three-dimensional case, interpolation tests, unitary transform matrices and recursive algorithms for calculation of the polynomials are presented. MDPI 2018-12-06 /pmc/articles/PMC7512525/ /pubmed/33266662 http://dx.doi.org/10.3390/e20120938 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Brus, Adam
Hrivnák, Jiří
Motlochová, Lenka
Discrete Transforms and Orthogonal Polynomials of (Anti)symmetric Multivariate Sine Functions
title Discrete Transforms and Orthogonal Polynomials of (Anti)symmetric Multivariate Sine Functions
title_full Discrete Transforms and Orthogonal Polynomials of (Anti)symmetric Multivariate Sine Functions
title_fullStr Discrete Transforms and Orthogonal Polynomials of (Anti)symmetric Multivariate Sine Functions
title_full_unstemmed Discrete Transforms and Orthogonal Polynomials of (Anti)symmetric Multivariate Sine Functions
title_short Discrete Transforms and Orthogonal Polynomials of (Anti)symmetric Multivariate Sine Functions
title_sort discrete transforms and orthogonal polynomials of (anti)symmetric multivariate sine functions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512525/
https://www.ncbi.nlm.nih.gov/pubmed/33266662
http://dx.doi.org/10.3390/e20120938
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