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Journal of Scientific Computing

, Volume 77, Issue 1, pp 657–688 | Cite as

Efficient Spectral Methods for Some Singular Eigenvalue Problems

  • Suna Ma
  • Huiyuan Li
  • Zhimin Zhang
Article
  • 106 Downloads

Abstract

We propose and analyze some efficient spectral/spectral element methods to solve singular eigenvalue problems related to the Schrödinger operator with an inverse-power potential. For the Schrödinger eigenvalue problem \(-\Delta u +V(x)u=\lambda u\) with a regular potential \(V(x)=c_1|x|^{-1}\), we first design an efficient spectral method on a ball of any dimension by adopting the Sobloev-orthogonal basis functions with respect to the Laplacian operator to overwhelm the homogeneous inverse potential and to eliminate the singularity of the eigenfunctions. Then we extend this spectral method to arbitrary polygonal domains by the mortar element method with each corner covered by a circular sector and origin covered by a circular disc. Furthermore, for the Schrödinger eigenvalue problem with a singular potential \(V(x)=c_3|x|^{-3}\), we devise a novel spectral method by modifying the former Sobloev-orthogonal bases to fit the stronger singularity. As in the case of \(|x|^{-1}\) potential, this approach can be extended to arbitrary polygonal domains by the mortar element method as well. Finally, for the singular elliptic eigenvalue problem \(-\frac{\partial ^2}{\partial x^2}u-\frac{1}{x^2}\frac{\partial ^2}{\partial y^2}u =\lambda u\) on rectangles, we propose a novel spectral method by using tensorial bases composed of the \(L^2\)- and \(H^1\)-simultaneously orthogonal functions in the y-direction and the Sobolev-orthogonal functions with respect to the Schrödinger operator with an inverse-square potential in the x-direction. Numerical experiments indicate that all our methods possess exponential orders of convergence, and are superior to the existing polynomial based spectral/spectral element methods and hp-adaptive methods.

Keywords

Singular equation Inverse-power potential Eigenvalues Spectral/spectral element method Exponential order 

Mathematics Subject Classification

Primary 65N35 65N25 35Q40 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Beijing Computational Science Research CenterBeijingChina
  2. 2.State Key Laboratory of Computer Science/Laboratory of Parallel Computing, Institute of SoftwareChinese Academy of SciencesBeijingChina
  3. 3.Department of MathematicsWayne State UniversityDetroitUSA

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