通过无限维带状矩阵因式分解对正交多项式进行多项式和有理测度修正

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Timon S. Gutleb, Sheehan Olver, Richard Mikaël Slevinsky
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引用次数: 0

摘要

我们描述了近似正交多项式族与另一个具有多项式或合理修正度量的族之间的连接系数的快速算法。连接系数通过无穷维带状矩阵因式分解计算,并可用于计算修正雅可比矩阵,其复杂度与截断度呈线性关系。我们构建了一个具有修正经典权重的正交多项式族,它支持带状微分矩阵,从而实现了使用修正经典正交多项式的稀疏谱方法。我们介绍了直接利用这些结果的几个应用和使用开源实现的数值实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Polynomial and Rational Measure Modifications of Orthogonal Polynomials via Infinite-Dimensional Banded Matrix Factorizations

Polynomial and Rational Measure Modifications of Orthogonal Polynomials via Infinite-Dimensional Banded Matrix Factorizations

We describe fast algorithms for approximating the connection coefficients between a family of orthogonal polynomials and another family with a polynomially or rationally modified measure. The connection coefficients are computed via infinite-dimensional banded matrix factorizations and may be used to compute the modified Jacobi matrices all in linear complexity with respect to the truncation degree. A family of orthogonal polynomials with modified classical weights is constructed that support banded differentiation matrices, enabling sparse spectral methods with modified classical orthogonal polynomials. We present several applications and numerical experiments using an open source implementation which make direct use of these results.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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