Spectral properties of flipped Toeplitz matrices and computational applications

We study the spectral properties of flipped Toeplitz matrices of the form 𝐻𝑛 (𝑓 ) = π‘Œπ‘› 𝑇𝑛 (𝑓), where 𝑇𝑛 (𝑓) is the 𝑛 Γ— 𝑛 Toeplitz generated by the function 𝑓 and π‘Œπ‘› is the 𝑛 Γ— 𝑛 exchange (or flip) matrix having 1 on the main anti-diagonal and 0 elsewhere. In particular, under suitable assumptions on 𝑓, we establish an alternating sign relationship between the eigenvalues of 𝐻𝑛(𝑓), the eigenvalues of 𝑇𝑛(𝑓), and the quasi-uniform samples of 𝑓. Moreover, after fine-tuning a few known theorems on Toeplitz matrices, we use them to provide localization results for the eigenvalues of 𝐻𝑛(𝑓). Our study is motivated by the convergence analysis of the minimal residual (MINRES) method for the solution of real non-symmetric Toeplitz linear systems of the form 𝑇𝑛 (𝑓)𝐱 = 𝐛 after pre-multiplication of both sides by π‘Œπ‘›, as suggested by Pestana and Wathen [26]. A selection of numerical experiments is provided to illustrate the theoretical results and to show how to use the spectral localizations for predicting the MINRES performance on linear systems with coefficient matrix 𝐻𝑛(𝑓).

Authors

Publication Details

Journal
Applied Mathematics and Computation
Published
2025-03-25
DOI
https://doi.org/10.1016/j.amc.2025.129408
Citations
1
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
1.50

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Spectral properties of flipped Toeplitz matrices and computational applications

Sven‐Erik EkstrΓΆm, Giovanni Barbarino, Stefano Serra‐Capizzano, Carlo Garoni et al.
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article

Spectral properties of flipped Toeplitz matrices and computational applications

Sven‐Erik EkstrΓΆm, Giovanni Barbarino, Stefano Serra‐Capizzano, Carlo Garoni, Paris Vassalos, David Meadon
article en
1 citations

Abstract

We study the spectral properties of flipped Toeplitz matrices of the form 𝐻𝑛 (𝑓 ) = π‘Œπ‘› 𝑇𝑛 (𝑓), where 𝑇𝑛 (𝑓) is the 𝑛 Γ— 𝑛 Toeplitz generated by the function 𝑓 and π‘Œπ‘› is the 𝑛 Γ— 𝑛 exchange (or flip) matrix having 1 on the main anti-diagonal and 0 elsewhere. In particular, under suitable assumptions on 𝑓, we establish an alternating sign relationship between the eigenvalues of 𝐻𝑛(𝑓), the eigenvalues of 𝑇𝑛(𝑓), and the quasi-uniform samples of 𝑓. Moreover, after fine-tuning a few known theorems on Toeplitz matrices, we use them to provide localization results for the eigenvalues of 𝐻𝑛(𝑓). Our study is motivated by the convergence analysis of the minimal residual (MINRES) method for the solution of real non-symmetric Toeplitz linear systems of the form 𝑇𝑛 (𝑓)𝐱 = 𝐛 after pre-multiplication of both sides by π‘Œπ‘›, as suggested by Pestana and Wathen [26]. A selection of numerical experiments is provided to illustrate the theoretical results and to show how to use the spectral localizations for predicting the MINRES performance on linear systems with coefficient matrix 𝐻𝑛(𝑓).

Applied Mathematics and ComputationVol. 499
Athens University of Economics and Business, Istituto Nazionale di Alta Matematica "Francesco Severi", European Commission, Uppsala Universitet, UniversitΓ  degli Studi di Roma Tor Vergata, Gruppo Nazionale per il Calcolo Scientifico
Openalex Percentile: Top 18%
Matrix Theory and Algorithms
1.50
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