2006
DOI: 10.1090/s0025-5718-06-01859-x
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Integral formulas for Chebyshev polynomials and the error term of interpolatory quadrature formulae for analytic functions

Abstract: Abstract. We evaluate explicitly the integrals 1 −1 π n (t)/(r ∓ t)dt, |r| = 1, with the π n being any one of the four Chebyshev polynomials of degree n. These integrals are subsequently used in order to obtain error bounds for interpolatory quadrature formulae with Chebyshev abscissae, when the function to be integrated is analytic in a domain containing [−1, 1] in its interior.

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Cited by 15 publications
(7 citation statements)
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“…these estimates are poor if is near 1." Notaris makes a similar comment in the last paragraph of [12].…”
Section: Formulas For S N (Z)mentioning
confidence: 64%
See 1 more Smart Citation
“…these estimates are poor if is near 1." Notaris makes a similar comment in the last paragraph of [12].…”
Section: Formulas For S N (Z)mentioning
confidence: 64%
“…Chelo Ferreira and José Lopez, authors of [8], generously shared their knowledge of the Lerch Φ function. Milton Maritz helped with Mathematica and Walter Gautschi brought reference [12] to our attention.…”
mentioning
confidence: 99%
“…Here, we consider error estimation of quadrature formula (1) (special cases ( 2) and ( 3)) with multiple end nodes for analytic function. The error bounds, for integrands f having an analytic extension in a domain containing [−1, 1], can be obtained by a contour integration method, well established and described in ( [3], [4], [5], [6], [8], [9], [10], [12], [13], [14]). These papers considered integrands f having an analytic extension into a domain Γ, which encompasses the interval [−1, 1], where Γ is a simple closed curve in the complex plain.…”
Section: The Error Bounds Of Gauss-kronrod Quadrature Formulaementioning
confidence: 99%
“…Finally, and for the sake of completeness, similar computations for the kernels corresponding to the other modified Chebyshev measures dσ [i] n , i = 2, 3, 4, are gathered in the final appendix. To end this introduction, let us say that the problem of estimating the quadrature error for Gauss-type rules has been thoroughly studied in the literature; see the references [12,18,19,22,23], and [26][27][28][29][30], to only cite a few. See also [5] for a very recent survey of the error estimates of Gaussian type quadrature formulae for analytic functions on ellipses.…”
Section: Secondary 41a55 1 Introductionmentioning
confidence: 99%