May 2022 A Matrix-Eigenvalue Method to Compute Sturm-Liouville Polynomials
Fred M. Leibsle, Noah Rhee, Majid Bani-Yaghoub
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Missouri J. Math. Sci. 34(1): 19-29 (May 2022). DOI: 10.35834/2022/3401019

Abstract

Recently the Legendre and other Sturm-Liouville (SL) polynomials were found as eigenvectors of certain matrices [2, 3, 4, 5]. However, the proposed algorithms are computationally incomplete and do not lead to general formulas to calculate the coefficients of SL polynomials of any order. In this paper, we complete the algorithms based on a matrix-eigenvector method, which can be used to compute SL polynomials of any order. This includes Legendre, Hermite, Laguerre, and Chebyshev polynomials.

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Fred M. Leibsle. Noah Rhee. Majid Bani-Yaghoub. "A Matrix-Eigenvalue Method to Compute Sturm-Liouville Polynomials." Missouri J. Math. Sci. 34 (1) 19 - 29, May 2022. https://doi.org/10.35834/2022/3401019

Information

Published: May 2022
First available in Project Euclid: 9 May 2022

MathSciNet: MR4419461
zbMATH: 1487.65043
Digital Object Identifier: 10.35834/2022/3401019

Subjects:
Primary: 34B24
Secondary: 65F15

Keywords: Back-Substitution , Eigenvalues , eigenvectors , self-adjoint operators , Sturm-Liouville equations , Upper Triangular Matrices

Rights: Copyright © 2022 University of Central Missouri, School of Computer Science and Mathematics

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Vol.34 • No. 1 • May 2022
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