Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices

Fuente: arXiv
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Main Authors: Bergamaschi, L., Martinez, A., Pearson, J. W., Potschka, A.
Format: Preprint
Published: 2025
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author Bergamaschi, L.
Martinez, A.
Pearson, J. W.
Potschka, A.
author_facet Bergamaschi, L.
Martinez, A.
Pearson, J. W.
Potschka, A.
contents We develop eigenvalue bounds for symmetric, block tridiagonal multiple saddle-point linear systems, preconditioned with block diagonal matrices. We extend known results for $3 \times 3$ block systems [Bradley and Greif, IMA J.\ Numer. Anal. 43 (2023)] and for $4 \times 4$ systems [Pearson and Potschka, IMA J. Numer. Anal. 44 (2024)] to an arbitrary number of blocks. Moreover, our results generalize the bounds in [Sogn and Zulehner, IMA J. Numer. Anal. 39 (2018)], developed for an arbitrary number of blocks with null diagonal blocks. Extension to the bounds when the Schur complements are approximated is also provided, using perturbation arguments. Practical bounds are also obtained for the double saddle-point linear system. Numerical experiments validate our findings.
format Preprint
id arxiv_https___arxiv_org_abs_2506_02816
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices
Bergamaschi, L.
Martinez, A.
Pearson, J. W.
Potschka, A.
Numerical Analysis
Optimization and Control
We develop eigenvalue bounds for symmetric, block tridiagonal multiple saddle-point linear systems, preconditioned with block diagonal matrices. We extend known results for $3 \times 3$ block systems [Bradley and Greif, IMA J.\ Numer. Anal. 43 (2023)] and for $4 \times 4$ systems [Pearson and Potschka, IMA J. Numer. Anal. 44 (2024)] to an arbitrary number of blocks. Moreover, our results generalize the bounds in [Sogn and Zulehner, IMA J. Numer. Anal. 39 (2018)], developed for an arbitrary number of blocks with null diagonal blocks. Extension to the bounds when the Schur complements are approximated is also provided, using perturbation arguments. Practical bounds are also obtained for the double saddle-point linear system. Numerical experiments validate our findings.
title Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices
topic Numerical Analysis
Optimization and Control
url https://arxiv.org/abs/2506.02816