On semi-separability and differentiation matrices

Fuente: arXiv
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Autore principale: Iserles, Arieh
Natura: Preprint
Pubblicazione: 2025
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author Iserles, Arieh
author_facet Iserles, Arieh
contents The theory of spectral methods for partial differential equations leads to infinite-dimensional matrices which represent the derivative operator with respect to an underlying orthonormal basis. Favourable properties of such differentiation matrices are crucial in the design of good spectral methods. It is known that bases using Laguerre and ultraspherical polynomials lead to semi-separable differentiation matrices of rank 1. In this paper we consider orthonormal bases constructed from Jacobi polynomials and prove that the underlying differentiation matrices are semi-separable of rank 2. This requires new results on semi-separable matrices which might be interesting in a wider context.
format Preprint
id arxiv_https___arxiv_org_abs_2512_07365
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On semi-separability and differentiation matrices
Iserles, Arieh
Numerical Analysis
65F99, 65M70, 33C45, 15B99
The theory of spectral methods for partial differential equations leads to infinite-dimensional matrices which represent the derivative operator with respect to an underlying orthonormal basis. Favourable properties of such differentiation matrices are crucial in the design of good spectral methods. It is known that bases using Laguerre and ultraspherical polynomials lead to semi-separable differentiation matrices of rank 1. In this paper we consider orthonormal bases constructed from Jacobi polynomials and prove that the underlying differentiation matrices are semi-separable of rank 2. This requires new results on semi-separable matrices which might be interesting in a wider context.
title On semi-separability and differentiation matrices
topic Numerical Analysis
65F99, 65M70, 33C45, 15B99
url https://arxiv.org/abs/2512.07365