High Relative Accuracy With Collocation Matrices of q$$ q $$‐Jacobi Polynomials

ABSTRACT Little ‐Jacobi polynomials belong to the field of quantum calculus. This article obtains the bidiagonal decomposition of the collocation matrices of these polynomials, showing that, in many cases, it can be constructed to high relative accuracy (HRA). Then, it can be used to compute with HRA the inverses, eigenvalues, and singular values of these matrices. Numerical experiments are provided and illustrate the excellent results obtained when applying the presented methods.

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Publication Details

Journal
Numerical Linear Algebra with Applications
Published
2024-11-19
DOI
https://doi.org/10.1002/nla.2602
Citations
1
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.36

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article

High Relative Accuracy With Collocation Matrices of q$$ q $$‐Jacobi Polynomials

Héctor Orera, Jorge Delgado, J.M. Peña
1 citations
Numerical Linear Algebra with Applications
Matrix Theory and Algorithms
0.36
article

High Relative Accuracy With Collocation Matrices of q$$ q $$‐Jacobi Polynomials

Héctor Orera, Jorge Delgado, J.M. Peña
article en
1 citations

Abstract

ABSTRACT Little ‐Jacobi polynomials belong to the field of quantum calculus. This article obtains the bidiagonal decomposition of the collocation matrices of these polynomials, showing that, in many cases, it can be constructed to high relative accuracy (HRA). Then, it can be used to compute with HRA the inverses, eigenvalues, and singular values of these matrices. Numerical experiments are provided and illustrate the excellent results obtained when applying the presented methods.

Numerical Linear Algebra with ApplicationsVol. 32(1)
Universidad de Zaragoza (ES)
Ministerio de Ciencia, Innovación y Universidades, Gobierno de Aragón, Agencia Estatal de Investigación
Openalex Percentile: Top 34%
Matrix Theory and Algorithms
0.36
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High Relative Accuracy With Collocation Matrices of q$ q $‐Jacobi Polynomials — Héctor Orera, Jorge Delgado, et al. · Numerical Linear Algebra with Applications (2024) | TGRS Research Map | TGRS