Multigrid for two-sided fractional differential equations discretized by finite volume elements on graded meshes

Marco Donatelli, Rolf Krause, Mariarosa Mazza, Ken Trotti*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

It is known that the solution of a conservative steady-state two-sided fractional diffusion problem can exhibit singularities near the boundaries. As a consequence of this, and due to the conservative nature of the problem, we adopt a finite volume elements discretization approach over a generic non-uniform mesh. We focus on grids mapped by a smooth function which consists in a combination of a graded mesh near the singularity and a uniform mesh where the solution is smooth. Such a choice gives rise to Toeplitz-like discretization matrices and thus allows a low computational cost of the matrix–vector product and detailed spectral analysis. The obtained spectral information is used to develop an ad-hoc parameter-free multigrid preconditioner for GMRES, which is numerically shown to yield good convergence results in presence of graded meshes mapped by power functions that accumulate points near the singularity. The approximation order of the considered graded meshes is numerically compared with the one of a certain composite mesh given in literature that still leads to Toeplitz-like linear systems and is then still well-suited for our multigrid method. Several numerical tests confirm that power-graded meshes result in lower approximation errors than composite ones and that our solver has a wide range of applicability.

Original languageEnglish (US)
Article number115787
JournalJournal of Computational and Applied Mathematics
Volume444
DOIs
StatePublished - Jul 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

Keywords

  • Finite volume elements methods
  • Multigrid methods
  • Spectral distribution
  • Toeplitz matrices
  • Two-sided fractional problems

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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