Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (4): 1242-1263.doi: 10.1007/s42967-023-00300-x

• ORIGINAL PAPERS • 上一篇    下一篇

A Note on Chebyshev Accelerated PMHSS Iteration Method for Block Two-by-Two Linear Systems

Zhao-Zheng Liang, Jun-Lin Tian, Hong-Yi Wan   

  1. School of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000, Gansu, China
  • 收稿日期:2022-12-30 修回日期:2023-06-05 接受日期:2023-07-18 出版日期:2023-09-20 发布日期:2023-09-20
  • 通讯作者: Zhao-Zheng Liang,E-mail:liangzz@lzu.edu.cn E-mail:liangzz@lzu.edu.cn
  • 作者简介:Jun-Lin Tian, E-mail:tianjl2019@lzu.edu.cn;Hong-Yi Wan, E-mail:wanhy19@lzu.edu.cn
  • 基金资助:
    This work is supported by the National Natural Science Foundation of China (Nos. 11801242, 11771193, and 11901267), the Fundamental Research Funds for the Central Universities (No. lzujbky-2022-05), and the Natural Science Foundation of Gansu Province of China (Grant No. 23JRRA1104).

A Note on Chebyshev Accelerated PMHSS Iteration Method for Block Two-by-Two Linear Systems

Zhao-Zheng Liang, Jun-Lin Tian, Hong-Yi Wan   

  1. School of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000, Gansu, China
  • Received:2022-12-30 Revised:2023-06-05 Accepted:2023-07-18 Online:2023-09-20 Published:2023-09-20
  • Supported by:
    This work is supported by the National Natural Science Foundation of China (Nos. 11801242, 11771193, and 11901267), the Fundamental Research Funds for the Central Universities (No. lzujbky-2022-05), and the Natural Science Foundation of Gansu Province of China (Grant No. 23JRRA1104).

摘要: In this paper, the efficient preconditioned modified Hermitian and skew-Hermitian splitting (PMHSS) iteration method is further explored and it is extended to solve more general block two-by-two linear systems with different and nonsymmetric off-diagonal blocks. With the aid of the singular value decomposition technique, the detailed analysis of the algebraic and convergence properties of the PMHSS iteration method demonstrates that it is still convergent unconditionally as when it is used to solve the well-studied case of block two-by-two linear systems with same and symmetric off-diagonal blocks. Moreover, the PMHSS preconditioned matrix is almost unitary diagonalizable with clustered eigenvalue distributions for this more general case. On account of the favorable spectral properties of the PMHSS preconditioned matrix, a parameter free Chebyshev accelerated PMHSS (CAPMHSS) method is established to further improve its convergence rate. Numerical experiments about Kroncker structured block two-by-two linear systems arising from a time-dependent PDE-constrained optimal control problem demonstrate quite satisfactory and competitive performance of the CAPMHSS method compared with some existing preconditioned Krylov subspace methods.

关键词: Splitting iteration, Chebyshev acceleration, Convergence analysis, Block two-by-two linear system, PDE-constrained optimization

Abstract: In this paper, the efficient preconditioned modified Hermitian and skew-Hermitian splitting (PMHSS) iteration method is further explored and it is extended to solve more general block two-by-two linear systems with different and nonsymmetric off-diagonal blocks. With the aid of the singular value decomposition technique, the detailed analysis of the algebraic and convergence properties of the PMHSS iteration method demonstrates that it is still convergent unconditionally as when it is used to solve the well-studied case of block two-by-two linear systems with same and symmetric off-diagonal blocks. Moreover, the PMHSS preconditioned matrix is almost unitary diagonalizable with clustered eigenvalue distributions for this more general case. On account of the favorable spectral properties of the PMHSS preconditioned matrix, a parameter free Chebyshev accelerated PMHSS (CAPMHSS) method is established to further improve its convergence rate. Numerical experiments about Kroncker structured block two-by-two linear systems arising from a time-dependent PDE-constrained optimal control problem demonstrate quite satisfactory and competitive performance of the CAPMHSS method compared with some existing preconditioned Krylov subspace methods.

Key words: Splitting iteration, Chebyshev acceleration, Convergence analysis, Block two-by-two linear system, PDE-constrained optimization

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