Computation of Laplacian eigenvalues of two-dimensional shapes with dihedral symmetry

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED Advances in Computational Mathematics Pub Date : 2024-05-02 DOI:10.1007/s10444-024-10138-3
David Berghaus, Robert Stephen Jones, Hartmut Monien, Danylo Radchenko
{"title":"Computation of Laplacian eigenvalues of two-dimensional shapes with dihedral symmetry","authors":"David Berghaus,&nbsp;Robert Stephen Jones,&nbsp;Hartmut Monien,&nbsp;Danylo Radchenko","doi":"10.1007/s10444-024-10138-3","DOIUrl":null,"url":null,"abstract":"<div><p>We numerically compute the lowest Laplacian eigenvalues of several two-dimensional shapes with dihedral symmetry at arbitrary precision arithmetic. Our approach is based on the method of particular solutions with domain decomposition. We are particularly interested in asymptotic expansions of the eigenvalues <span>\\(\\lambda (n)\\)</span> of shapes with <i>n</i> edges that are of the form <span>\\(\\lambda (n) \\sim x\\sum _{k=0}^{\\infty } \\frac{C_k(x)}{n^k}\\)</span> where <i>x</i> is the limiting eigenvalue for <span>\\(n\\rightarrow \\infty \\)</span>. Expansions of this form have previously only been known for regular polygons with Dirichlet boundary conditions and (quite surprisingly) involve Riemann zeta values and single-valued multiple zeta values, which makes them interesting to study. We provide numerical evidence for closed-form expressions of higher order <span>\\(C_k(x)\\)</span> and give more examples of shapes for which such expansions are possible (including regular polygons with Neumann boundary condition, regular star polygons, and star shapes with sinusoidal boundary).</p></div>","PeriodicalId":50869,"journal":{"name":"Advances in Computational Mathematics","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10444-024-10138-3.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Mathematics","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10444-024-10138-3","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

We numerically compute the lowest Laplacian eigenvalues of several two-dimensional shapes with dihedral symmetry at arbitrary precision arithmetic. Our approach is based on the method of particular solutions with domain decomposition. We are particularly interested in asymptotic expansions of the eigenvalues \(\lambda (n)\) of shapes with n edges that are of the form \(\lambda (n) \sim x\sum _{k=0}^{\infty } \frac{C_k(x)}{n^k}\) where x is the limiting eigenvalue for \(n\rightarrow \infty \). Expansions of this form have previously only been known for regular polygons with Dirichlet boundary conditions and (quite surprisingly) involve Riemann zeta values and single-valued multiple zeta values, which makes them interesting to study. We provide numerical evidence for closed-form expressions of higher order \(C_k(x)\) and give more examples of shapes for which such expansions are possible (including regular polygons with Neumann boundary condition, regular star polygons, and star shapes with sinusoidal boundary).

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有二面对称性的二维图形的拉普拉卡特征值计算
我们以任意精度算术数值计算了几种具有二面对称性的二维图形的最低拉普拉奇特征值。我们的方法基于域分解的特定解法。我们对具有 n 条边的形状的特征值 \(\lambda (n)\) 的渐近展开特别感兴趣,其形式为 \(\lambda (n) \sim x\sum _{k=0}^\{infty }.\其中 x 是 \(n\rightarrow\infty \)的极限特征值。以前只知道这种形式的展开适用于具有 Dirichlet 边界条件的正多边形,而且(令人惊讶的是)涉及黎曼zeta 值和单值多重zeta 值,这使它们成为有趣的研究对象。我们提供了高阶 \(C_k(x)\) 的闭式表达式的数值证据,并给出了更多可能有这种展开的形状的例子(包括具有诺伊曼边界条件的正多边形、正星形多边形和具有正弦边界的星形)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Higher-order iterative decoupling for poroelasticity Adaptive quarklet tree approximation Efficient computation of the sinc matrix function for the integration of second-order differential equations Sobolev regularity of bivariate isogeometric finite element spaces in case of a geometry map with degenerate corner An optimal ansatz space for moving least squares approximation on spheres
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1