Spectral approximation and error analysis for the transmission eigenvalue problem with an isotropic inhomogeneous medium

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2024-07-23 DOI:10.1016/j.cam.2024.116163
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Abstract

In this paper, we propose an effective Legendre-Fourier spectral method for the transmission eigenvalue problem in polar geometry with an isotropic inhomogeneous medium. The basic idea of this methodology is to rewrite the initial problem into its equivalent form by using polar coordinates and some specially designed polar conditions. A variational method and its discrete version (i.e., Legendre-Fourier spectral method) are then presented within a class of weighted Sobolev spaces. With the help of the spectral theory of compact operators and the approximation properties of some specially designed projections in non-uniformly weighted Sobolev spaces, error estimates with spectral accuracy of the Legendre-Fourier spectral method for both the eigenvalue and eigenfunction approximations are established. Numerical experiments are presented to confirm the theoretical findings and the efficiency of our algorithm.

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各向同性非均质介质传输特征值问题的频谱近似和误差分析
在本文中,我们提出了一种有效的 Legendre-Fourier 光谱法,用于解决各向同性非均质介质极坐标中的透射特征值问题。该方法的基本思想是利用极坐标和一些专门设计的极坐标条件将初始问题重写为等效形式。然后在一类加权 Sobolev 空间中提出了一种变分法及其离散版本(即 Legendre-Fourier 光谱法)。借助紧凑算子的谱理论和非均匀加权索博廖夫空间中一些特别设计的投影的近似特性,建立了 Legendre-Fourier 谱方法对特征值和特征函数近似的具有谱精度的误差估计。通过数值实验证实了我们算法的理论发现和效率。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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