The error norm of nonsymmetric product integration rules for Chebyshev weight functions with Chebyshev abscissae

Abstract We consider four product integration rules, two for the Chebyshev weight of the first-kind based on the Chebyshev abscissae of the third or fourth-kind, and another two for the Chebyshev weight of the second-kind based again on the Chebyshev abscissae of the third or fourth-kind. The new rules have positive weights given by explicit formulae, while the rules for the Chebyshev weight of the second-kind have the best possible degree of exactness for an interpolatory formula not of Gauss type. On certain spaces of analytic functions the error term of these rules is a continuous linear functional. By means of a new approach, we compute explicitly the norm of the error functional, which leads to efficient error bounds.

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Publication Details

Journal
BIT Numerical Mathematics
Published
2026-03-13
DOI
https://doi.org/10.1007/s10543-026-01110-2
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
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article

The error norm of nonsymmetric product integration rules for Chebyshev weight functions with Chebyshev abscissae

Sotirios E. Notaris, Nikolaos J. Theodorakopoulos
BIT Numerical Mathematics
Mathematical functions and polynomials
article

The error norm of nonsymmetric product integration rules for Chebyshev weight functions with Chebyshev abscissae

Sotirios E. Notaris, Nikolaos J. Theodorakopoulos
article en

Abstract

Abstract We consider four product integration rules, two for the Chebyshev weight of the first-kind based on the Chebyshev abscissae of the third or fourth-kind, and another two for the Chebyshev weight of the second-kind based again on the Chebyshev abscissae of the third or fourth-kind. The new rules have positive weights given by explicit formulae, while the rules for the Chebyshev weight of the second-kind have the best possible degree of exactness for an interpolatory formula not of Gauss type. On certain spaces of analytic functions the error term of these rules is a continuous linear functional. By means of a new approach, we compute explicitly the norm of the error functional, which leads to efficient error bounds.

BIT Numerical MathematicsVol. 66(2)
National and Kapodistrian University of Athens (GR)
Decent work and economic growth
Openalex Percentile: Top 19%
Mathematical functions and polynomials
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