{"title":"曲面上近奇异积分的外推正则化","authors":"J. Thomas Beale, Svetlana Tlupova","doi":"10.1007/s10444-024-10161-4","DOIUrl":null,"url":null,"abstract":"<div><p>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 <span>\\(\\delta \\)</span> 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 <span>\\(\\delta \\)</span>, we can solve for an extrapolated value that has regularization error reduced to <span>\\(O(\\delta ^5)\\)</span>, uniformly for target points on or near the surface. In examples with <span>\\(\\delta /h\\)</span> constant and moderate resolution, we observe total error about <span>\\(O(h^5)\\)</span> close to the surface. For convergence as <span>\\(h \\rightarrow 0\\)</span>, we can choose <span>\\(\\delta \\)</span> proportional to <span>\\(h^q\\)</span> with <span>\\(q < 1\\)</span> to ensure the discretization error is dominated by the regularization error. With <span>\\(q = 4/5\\)</span>, we find errors about <span>\\(O(h^4)\\)</span>. For harmonic potentials, we extend the approach to a version with <span>\\(O(\\delta ^7)\\)</span> regularization; it typically has smaller errors, but the order of accuracy is less predictable.</p></div>","PeriodicalId":50869,"journal":{"name":"Advances in Computational Mathematics","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extrapolated regularization of nearly singular integrals on surfaces\",\"authors\":\"J. Thomas Beale, Svetlana Tlupova\",\"doi\":\"10.1007/s10444-024-10161-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 <span>\\\\(\\\\delta \\\\)</span> 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 <span>\\\\(\\\\delta \\\\)</span>, we can solve for an extrapolated value that has regularization error reduced to <span>\\\\(O(\\\\delta ^5)\\\\)</span>, uniformly for target points on or near the surface. In examples with <span>\\\\(\\\\delta /h\\\\)</span> constant and moderate resolution, we observe total error about <span>\\\\(O(h^5)\\\\)</span> close to the surface. For convergence as <span>\\\\(h \\\\rightarrow 0\\\\)</span>, we can choose <span>\\\\(\\\\delta \\\\)</span> proportional to <span>\\\\(h^q\\\\)</span> with <span>\\\\(q < 1\\\\)</span> to ensure the discretization error is dominated by the regularization error. With <span>\\\\(q = 4/5\\\\)</span>, we find errors about <span>\\\\(O(h^4)\\\\)</span>. For harmonic potentials, we extend the approach to a version with <span>\\\\(O(\\\\delta ^7)\\\\)</span> regularization; it typically has smaller errors, but the order of accuracy is less predictable.</p></div>\",\"PeriodicalId\":50869,\"journal\":{\"name\":\"Advances in Computational Mathematics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Computational Mathematics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10444-024-10161-4\",\"RegionNum\":3,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Mathematics","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10444-024-10161-4","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
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.
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.