Xu, Kuan, Loureiro, Ana F. (2018) Spectral approximation of convolution operator. SIAM Journal on Scientific Computing, 40 (4). A2336-A2355. ISSN 1064-8275. E-ISSN 1095-7197. (doi:10.1137/17M1149249) (KAR id:64340)
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Official URL: https://epubs.siam.org/doi/abs/10.1137/17M1149249 |
Abstract
We develop a unified framework for constructing matrix approximations for the convolution operator of Volterra type defined by functions that are approximated using classical orthogonal polynomials on [?1, 1]. The numerically stable algorithms we propose exploit recurrence relations and symmetric properties satisfied by the entries of these convolution matrices. Laguerrebased convolution matrices that approximate Volterra convolution operator defined by functions on [0, ?] are also discussed for the sake of completeness.
Item Type: | Article |
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DOI/Identification number: | 10.1137/17M1149249 |
Uncontrolled keywords: | convolution, Volterra convolution integral, operator approximation, orthogonal polynomials, Chebyshev polynomials, Legendre polynomials, Gegenbauer polynomials, ultraspherical polynomials, Jacobi polynomials, Laguerre polynomials, spectral methods |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Ana F. Loureiro |
Date Deposited: | 10 Nov 2017 11:37 UTC |
Last Modified: | 05 Nov 2024 11:00 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/64340 (The current URI for this page, for reference purposes) |
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