Spectral Analysis for Preconditioning of MultiDimensional Riesz Fractional Diffusion Equations

Xin Huang, Xue Lei Lin, Michael K. Ng, Hai Wei Sun*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

30 Citations (Scopus)

Abstract

In this paper, we analyze the spectra of the preconditioned matrices arising from discretized multi-dimensional Riesz spatial fractional diffusion equations. The finite difference method is employed to approximate the multi-dimensional Riesz fractional derivatives, which generates symmetric positive definite ill-conditioned multi-level Toeplitz matrices. The preconditioned conjugate gradient method with a preconditioner based on the sine transform is employed to solve the resulting linear system. Theoretically, we prove that the spectra of the preconditioned matrices are uniformly bounded in the open interval (1/2, 3/2) and thus the preconditioned conjugate gradient method converges linearly within an iteration number independent of the discretization step-size. Moreover, the proposed method can be extended to handle ill-conditioned multi-level Toeplitz matrices whose blocks are generated by functions with zeros of fractional order. Our theoretical results fill in a vacancy in the literature. Numerical examples are presented to show the convergence performance of the proposed preconditioner that is better than other preconditioners
Original languageEnglish
Pages (from-to)565-591
Number of pages27
JournalNumerical Mathematics
Volume15
Issue number3
DOIs
Publication statusPublished - Aug 2022

User-Defined Keywords

  • Multi-dimensional Riesz fractional derivative
  • multi-level Toeplitz matrix
  • preconditioned conjugate gradient method
  • sine transform based preconditioner

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