Singularity Swapping Method for Nearly Singular Integrals Based on Trapezoidal Rule

IF 2.8 2区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Numerical Analysis Pub Date : 2024-04-08 DOI:10.1137/23m1571666
Gang Bao, Wenmao Hua, Jun Lai, Jinrui Zhang
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Abstract

SIAM Journal on Numerical Analysis, Volume 62, Issue 2, Page 974-997, April 2024.
Abstract. Accurate evaluation of nearly singular integrals plays an important role in many boundary integral equation based numerical methods. In this paper, we propose a variant of singularity swapping method to accurately evaluate the layer potentials for arbitrarily close targets. Our method is based on the global trapezoidal rule and trigonometric interpolation, resulting in an explicit quadrature formula. The method achieves spectral accuracy for nearly singular integrals on closed analytic curves. In order to extract the singularity from the complexified distance function, an efficient root finding method is proposed based on contour integration. Through the change of variables, we also extend the quadrature method to integrals on the piecewise analytic curves. Numerical examples for Laplace and Helmholtz equations show that high-order accuracy can be achieved for arbitrarily close field evaluation.
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基于梯形法则的近奇异积分奇异性交换法
SIAM 数值分析期刊》第 62 卷第 2 期第 974-997 页,2024 年 4 月。 摘要。近奇异积分的精确求值在许多基于边界积分方程的数值方法中起着重要作用。在本文中,我们提出了一种奇点交换法的变体,用于精确评估任意接近目标的层势。我们的方法基于全局梯形法则和三角插值法,从而产生了一个显式正交公式。对于闭合解析曲线上的近奇异积分,该方法可实现光谱精度。为了从复杂化的距离函数中提取奇异性,我们提出了一种基于轮廓积分的高效寻根方法。通过变量变化,我们还将正交方法扩展到了片断解析曲线上的积分。拉普拉斯方程和亥姆霍兹方程的数值示例表明,对于任意接近的场评估,可以实现高阶精度。
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来源期刊
CiteScore
4.80
自引率
6.90%
发文量
110
审稿时长
4-8 weeks
期刊介绍: SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms, their accuracy, their stability, and their computational complexity. Also included are results in mathematical analysis that contribute to algorithm analysis, and computational results that demonstrate algorithm behavior and applicability.
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