A study on fractional centered difference scheme for high-dimensional integral fractional Laplacian operator with {ω}-circulant preconditioner

  • Lot Kei Chou
  • , Wei Qu
  • , Yuan Yuan Huang
  • , Siu Long Lei*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

1 Citation (Scopus)

Abstract

Fundamental properties for the coefficients of a second-order finite difference approximation of the fractional Laplacian in d≥2 dimensions are derived in this paper. The obtained decay rate of the coefficients implies that the coefficients (with no closed-form expression) can be approximated via d-dimensional inverse fast Fourier transform of size K per dimension with accuracy O(K−d−α), where α∈(0,2) is the order of the fractional Laplacian. For solving fractional partial differential equations on regular grids, the coefficient matrix is a d-level Toeplitz matrix that can be preconditioned by the d-level {ω}-circulant matrix. Here, a spectral analysis of the difference matrix is derived. The purpose of this work is also to justify some observations presented by Hao et al. (2021). Numerical experiments in two-dimension and three-dimension illustrate that {ω}-circulant preconditioner has better performance over T. Chan's circulant preconditioner.

Original languageEnglish
Pages (from-to)128-143
Number of pages16
JournalMathematics and Computers in Simulation
Volume231
DOIs
Publication statusPublished - May 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

  • High-dimensional integral fractional Laplacian operator
  • Fractional centered difference
  • Krylov subspace methods
  • Generating function
  • d-level {ω}-circulant preconditioner

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