Error bounds for Gauss–Lobatto quadrature of analytic functions on an ellipse

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2024-10-10 DOI:10.1016/j.cam.2024.116326
Hiroshi Sugiura , Takemitsu Hasegawa
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Abstract

For the (n+2)-point Gauss–Jacobi–Lobatto quadrature to integrals with the Jacobi weight function (1t)α(1+t)β (α>1, β>1) over the interval [1,1], we estimate the location where the kernel of the error functional for functions analytic on an ellipse and its interior in the complex plane attains its maximum modulus. As in our previous work on the Gauss–Jacobi rule, when αβ, the location is the intersection point of the ellipse with the real axis in the complex plane. When α=β (the Gegenbauer weight), it is the intersection points with the real axis for 1<α0 or for 0<α52 and 1nn+(α), and with the imaginary axis for 0<α52 and n>n+(α) or for α>52. Here, n+(α) (>0) is a monotonously decreasing function for α>0 with n+(52)=1 and limα+0n+(α)=. Some numerical results are given to confirm the locations.
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椭圆上解析函数的高斯-洛巴托正交误差边界
对于区间 [-1,1] 上的 (n+2) 点高斯-雅各比-洛巴托正交积分与雅各比权重函数 (1-t)α(1+t)β (α>-1, β>-1),我们估计了复平面上椭圆及其内部解析函数误差函数核达到最大模的位置。与我们之前关于高斯-雅可比法则的研究一样,当 α≠β 时,该位置是椭圆与复平面实轴的交点。当 α=β 时(格根鲍尔权重),它是 -1<α≤0 或 0<α≤52 和 1≤n≤n+(α) 与实轴的交点,以及 0<α≤52 和 n>n+(α) 或 α>52 与虚轴的交点。这里,n+(α) (>0) 是α>0 时的单调递减函数,n+(52)=1,limα→+0n+(α)=∞。给出了一些数值结果来证实这些位置。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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