二维封闭曲线上近奇异线积分的奇异交换正交

IF 1.6 3区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Ludvig af Klinteberg
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引用次数: 0

摘要

本文提出了一种正交方法,用于评估使用梯形法则离散的周期性边界附近的二维层势。它是奇点交换正交方法的扩展,最近针对使用复合高斯-勒格正交进行离散的边界引入了这种方法。原始方法建立在将目标奇点与其在曲线参数化的复数空间中的前像互换的基础上,其中源面板是平的。这样,就可以使用具有单项式基础的内插法正交对积分进行高效评估。在这一扩展中,我们使用目标前像将奇点换成接近单位圆的点。这样,我们就可以使用具有复指数基函数的内插正交来求得积分。这是有条件的,可以使用快速傅立叶变换进行有效求值。由此产生的方法具有指数收敛性,可用于精确评估靠近源几何形状的层电势。我们报告了一个简单测试几何体的实验结果,并提供了可用于进一步实验的基线 Julia 实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Singularity swap quadrature for nearly singular line integrals on closed curves in two dimensions

Singularity swap quadrature for nearly singular line integrals on closed curves in two dimensions

This paper presents a quadrature method for evaluating layer potentials in two dimensions close to periodic boundaries, discretized using the trapezoidal rule. It is an extension of the method of singularity swap quadrature, which recently was introduced for boundaries discretized using composite Gauss–Legendre quadrature. The original method builds on swapping the target singularity for its preimage in the complexified space of the curve parametrization, where the source panel is flat. This allows the integral to be efficiently evaluated using an interpolatory quadrature with a monomial basis. In this extension, we use the target preimage to swap the singularity to a point close to the unit circle. This allows us to evaluate the integral using an interpolatory quadrature with complex exponential basis functions. This is well-conditioned, and can be efficiently evaluated using the fast Fourier transform. The resulting method has exponential convergence, and can be used to accurately evaluate layer potentials close to the source geometry. We report experimental results on a simple test geometry, and provide a baseline Julia implementation that can be used for further experimentation.

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来源期刊
BIT Numerical Mathematics
BIT Numerical Mathematics 数学-计算机:软件工程
CiteScore
2.90
自引率
0.00%
发文量
38
审稿时长
6 months
期刊介绍: The journal BIT has been published since 1961. BIT publishes original research papers in the rapidly developing field of numerical analysis. The essential areas covered by BIT are development and analysis of numerical methods as well as the design and use of algorithms for scientific computing. Topics emphasized by BIT include numerical methods in approximation, linear algebra, and ordinary and partial differential equations.
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