Theoretical results for eigenvalues, singular values, and eigenvectors of (flipped) Toeplitz matrices and related computational proposals
Giovanni Barbarino, Sven-Erik Ekstr\"om, Stefano Serra-Capizzano, and Paris Vassalos

TL;DR
This paper provides new theoretical insights into the eigenvalues, singular values, and eigenvectors of (flipped) Toeplitz matrices, addressing both asymptotic and fixed-size cases, with implications for efficient spectral computation and linear system solutions.
Contribution
It introduces novel theoretical results for the spectral properties of (flipped) Toeplitz matrices, including non-monotone generating functions, and proposes matrix-less algorithms for spectral computation.
Findings
Spectral behavior characterized for large and fixed matrices.
Effective matrix-less algorithms for spectrum computation.
Numerical experiments validate theoretical results.
Abstract
In a series of recent papers the spectral behavior of the matrix sequence is studied in the sense of the spectral distribution, where is the main antidiagonal (or flip matrix) and is the Toeplitz matrix generated by the function , with being Lebesgue integrable and with real Fourier coefficients. This kind of study is also motivated by computational purposes for the solution of the related large linear systems using the (preconditioned) MINRES algorithm. Here we complement the spectral study with more results holding both asymptotically and for a fixed dimension , and with regard to eigenvalues, singular values, and eigenvectors of and to several relationships among them: beside fast linear solvers, a further target is the design of ad hoc procedures for the computation of the related spectra via matrix-less algorithms, with a…
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Taxonomy
TopicsMatrix Theory and Algorithms · Mathematical functions and polynomials · Advanced Topics in Algebra
