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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-7512525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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