Spectral properties of flipped Toeplitz matrices and computational applications

Giovanni Barbarino, Sven‐Erik EkstrΓΆm, Carlo Garoni, David Meadon, Stefano Serra‐Capizzano, Paris Vassalos Β· Applied Mathematics and Computation Β· 2025

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).

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