Construction of σ-orthogonal polynomials and gaussian quadrature formulas

被引:0
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作者
Ying Guang Shi
Guoliang Xu
机构
[1] Chinese Academy of Sciences,Institute of Computational Mathematics and Scientific/Engineering Computing
[2] Hunan Normal University,Department of Mathematics
[3] Chinese Academy of Sciences,LSEC, Institute of Computational Mathematics, Academy of Mathematics and System Sciences
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关键词
-orthogonal polynomials; Existence; Uniqueness; Characterizations; Continuity; Gaussian quadrature formulas; Algorithm; Primary 41A55; Secondary 65D32;
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摘要
Let dα be a measure on R and let σ = (m1, m2,...,mn), where mk ≥ 1, k = 1,2,...,n, are arbitrary real numbers. A polynomial ωn(x) := (x − x1)(x − x2)...(x − xn) with x1 ≤ x2 ≤ ... ≤ xn is said to be the nth σ-orthogonal polynomial with respect to dα if the vector of zeros (x1, x2, ..., xn)T is a solution of the extremal problem \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\int_R {{\prod\limits_{k = 1}^n {{\left| {x - x_{k} } \right|}^{{m_{k} }} d\alpha {\left( x \right)} = {\mathop {\min }\limits_{y_{1} \leqslant y_{2} \leqslant ... \leqslant y_{n} } }} }} }\;{\int_R {{\prod\limits_{k = 1}^n {{\left| {x - y_{k} } \right|}^{{m_{k} }} d\alpha {\left( x \right)}.} }} }$$\end{document} In this paper the existence, uniqueness, characterizations, and continuity with respect to σ of a σ-orthogonal polynomial under a more mild assumption are established. An efficient iterative method based on solving the system of normal equations for constructing a σ-orthogonal polynomial is presented when all the mk are arbitrary real numbers no less than 2. A simple method to calculate the Cotes numbers of the corresponding generalized Gaussian quadrature formula when all the mk are positive integers no less than 2 is provided. Finally, some numerical examples are also given.
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页码:79 / 94
页数:15
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