# Mathematics of Computation

Published by the American Mathematical Society, the Mathematics of Computation (MCOM) is devoted to research articles of the highest quality in all areas of pure and applied mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.98.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

## Anti-Gaussian quadrature formulae of Chebyshev typeHTML articles powered by AMS MathViewer

by Sotirios E. Notaris
Math. Comp. 91 (2022), 2803-2816 Request permission

## Abstract:

We prove that there is no positive measure $d\sigma$ on the interval $[a,b]$ such that the corresponding anti-Gaussian quadrature formula is also a Chebyshev quadrature formula. We also show that the only positive and even measure $d\sigma (t)=d\sigma (-t)$ on the symmetric interval $[-a,a]$, for which the anti-Gaussian formula has the form $\int _{-a}^{a}f(t)d\sigma (t)=\frac {\mu _{0}}{2}[f(a)+f(-a)]+R_{2}^{AG}(f)$ for $n=1$ and $\int _{-a}^{a}f(t)d\sigma (t)=w_{1}f(a)+w\sum _{\mu =2}^{n}f(t_{\mu })+w_{1}f(-a)+R_{n+1}^{AG}(f)$ for all $n\geq 2$, is the measure $d\sigma (t)=(a^{2}-t^{2})^{-1/2}dt$. It turns out that the formula for $n\geq 2$ is the $(n-1)$-point Gauss-Lobatto quadrature formula for the measure $d\sigma (t)=(a^{2}-t^{2})^{-1/2}dt$, which is a generalization of what happens in the case of the Chebyshev measure of the first kind. Moreover, we compute the anti-Gaussian formulae for any one of the four Chebyshev measures.
Similar Articles
• Retrieve articles in Mathematics of Computation with MSC (2020): 41A55, 33C45, 65D32
• Retrieve articles in all journals with MSC (2020): 41A55, 33C45, 65D32