Optimal Preconditioners for Nonsymmetric Multilevel Toeplitz Systems With Application to Solving Nonlocal Evolutionary Partial Differential Equations

Yuan‐Yuan Huang, Sean Y. Hon*, Lot‐Kei Chou, Siu‐Long Lei

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Preconditioning for multilevel Toeplitz systems has long been a focal point of research in numerical linear algebra. In this work, we develop a novel preconditioning method for a class of nonsymmetric multilevel Toeplitz systems, which includes the all-at-once systems that arise from evolutionary partial differential equations. These systems have recently garnered considerable attention in the literature. To further illustrate our proposed preconditioning strategy, we specifically consider the application of solving a wide range of nonlocal, time-dependent partial differential equations in a parallel-in-time manner. For these equations, we propose a symmetric positive definite multilevel Tau preconditioner that is not only efficient to implement but can also be adapted as an optimal preconditioner. In this context, the proposed preconditioner is optimal in the sense that it enables mesh-independent convergence when using the preconditioned generalized minimal residual method. Numerical examples are provided to critically analyze the results and underscore the effectiveness of our preconditioning strategy.
Original languageEnglish
Article numbere70025
JournalNumerical Linear Algebra with Applications
Volume32
Issue number3
DOIs
Publication statusPublished - Jun 2025

User-Defined Keywords

  • Tau matrices
  • all-at-once systems
  • multilevel Toeplitz systems
  • parallel-in-time
  • preconditioning

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