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Symmetry, Integrability and Geometry: Methods and Applications, 2012, Volume 8, 067, 29 pp.
DOI: https://doi.org/10.3842/SIGMA.2012.067
(Mi sigma744)
 

This article is cited in 10 scientific papers (total in 10 papers)

Discrete Fourier analysis and Chebyshev polynomials with $G_2$ group

Huiyuan Lia, Jiachang Suna, Yuan Xub

a Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
b Department of Mathematics, University of Oregon, Eugene, Oregon 97403-1222, USA
References:
Abstract: The discrete Fourier analysis on the $30^{\circ}$$60^{\circ}$$90^{\circ}$ triangle is deduced from the corresponding results on the regular hexagon by considering functions invariant under the group $G_2$, which leads to the definition of four families generalized Chebyshev polynomials. The study of these polynomials leads to a Sturm–Liouville eigenvalue problem that contains two parameters, whose solutions are analogues of the Jacobi polynomials. Under a concept of $m$-degree and by introducing a new ordering among monomials, these polynomials are shown to share properties of the ordinary orthogonal polynomials. In particular, their common zeros generate cubature rules of Gauss type.
Keywords: discrete Fourier series; trigonometric; group $G_2$; PDE; orthogonal polynomials.
Received: May 4, 2012; in final form September 6, 2012; Published online October 3, 2012
Bibliographic databases:
Document Type: Article
MSC: 41A05; 41A10
Language: English
Citation: Huiyuan Li, Jiachang Sun, Yuan Xu, “Discrete Fourier analysis and Chebyshev polynomials with $G_2$ group”, SIGMA, 8 (2012), 067, 29 pp.
Citation in format AMSBIB
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\by Huiyuan Li, Jiachang Sun, Yuan Xu
\paper Discrete Fourier analysis and Chebyshev polynomials with $G_2$ group
\jour SIGMA
\yr 2012
\vol 8
\papernumber 067
\totalpages 29
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  • This publication is cited in the following 10 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Symmetry, Integrability and Geometry: Methods and Applications
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