曲面上近奇异积分的外推正则化

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
J. Thomas Beale, Svetlana Tlupova
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引用次数: 0

摘要

我们提出了一种计算近奇异积分的方法,当谐波势或斯托克斯流的单层或双层表面积分在附近点求值时,就会出现近奇异积分。当一个表面靠近另一个表面时,在求解积分方程或获取网格点的数值时可能需要这些值。为了控制离散化误差,我们用具有长度参数 \(\delta \)的正则化版本替换奇异核。通过对奇异点附近的分析,我们可以得到正则化误差的表达式,其中有未知系数乘以已知量的项。通过计算三种 \(\delta \)选择的积分,我们可以求解一个外推值,它的正则化误差减小到 \(O(\delta ^5)\),均匀地用于曲面上或曲面附近的目标点。在 \(\delta /h\) 恒定和中等分辨率的例子中,我们观察到接近表面的总误差约为\(O(h^5)\)。为了收敛,我们可以选择与(h^q)成正比的(\(q < 1\) 来确保离散化误差被正则化误差所控制。当 \(q = 4/5\) 时,我们发现误差约为\(O(h^4)\)。对于谐波势,我们将该方法扩展到了\(O(\delta ^7)\)正则化的版本;它的误差通常较小,但准确度的阶次较难预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extrapolated regularization of nearly singular integrals on surfaces

We present a method for computing nearly singular integrals that occur when single or double layer surface integrals, for harmonic potentials or Stokes flow, are evaluated at points nearby. Such values could be needed in solving an integral equation when one surface is close to another or to obtain values at grid points. We replace the singular kernel with a regularized version having a length parameter \(\delta \) in order to control discretization error. Analysis near the singularity leads to an expression for the error due to regularization which has terms with unknown coefficients multiplying known quantities. By computing the integral with three choices of \(\delta \), we can solve for an extrapolated value that has regularization error reduced to \(O(\delta ^5)\), uniformly for target points on or near the surface. In examples with \(\delta /h\) constant and moderate resolution, we observe total error about \(O(h^5)\) close to the surface. For convergence as \(h \rightarrow 0\), we can choose \(\delta \) proportional to \(h^q\) with \(q < 1\) to ensure the discretization error is dominated by the regularization error. With \(q = 4/5\), we find errors about \(O(h^4)\). For harmonic potentials, we extend the approach to a version with \(O(\delta ^7)\) regularization; it typically has smaller errors, but the order of accuracy is less predictable.

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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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