球和球壳四曲面特征值问题的高效解耦和降维方案

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2024-10-15 DOI:10.1016/j.camwa.2024.10.010
Jiantao Jiang , Zhimin Zhang
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引用次数: 0

摘要

在本文中,我们提出了球面几何中四卷线特征值问题的谱-加勒金近似方法。利用矢量球面谐波和拉普拉斯-贝尔特拉米算子,我们将四曲面特征值问题分解为两类不同的四阶方程:对应于横向电(TE)和横向磁(TM)模式。我们对 TE 模式进行了深入分析。然而,TM 模式的特征是一个耦合的四阶方程系统,该系统受制于无发散条件。我们开发了两套独立的矢量基函数,分别适用于实心球和球壳的耦合系统。此外,我们还设计了一种参数化技术,旨在消除虚假特征对。我们列举了一些数值示例,以证明所提出的方法能达到很高的精度。我们还通过图表说明了特征函数的定位。此外,我们还利用贝塞尔函数分析了四曲面问题,揭示了特征值与贝塞尔函数组合零点之间的内在联系。
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An efficient decoupled and dimension reduction scheme for quad-curl eigenvalue problem in balls and spherical shells
In this paper, we propose a spectral-Galerkin approximation for the quad-curl eigenvalue problem within spherical geometries. Utilizing vector spherical harmonics in conjunction with the Laplace-Beltrami operator, we decompose the quad-curl eigenvalue problem into two distinct categories of fourth-order equations: corresponding to the transverse electric (TE) and transverse magnetic (TM) modes. A thorough analysis is provided for the TE mode. The TM mode, however, is characterized by a system of coupled fourth-order equations that are subject to a divergence-free condition. We develop two separate sets of vector basis functions tailored for the coupled system in both solid spheres and spherical shells. Moreover, we design a parameterized technique aimed at eliminating spurious eigenpairs. Numerical examples are presented to demonstrate the high precision achieved by the proposed method. We also include graphs to illustrate the localization of the eigenfunctions. Furthermore, we employ Bessel functions to analyze the quad-curl problem, revealing the intrinsic connection between the eigenvalues and the zeros of combinations of Bessel functions.
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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