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Linear Algebra and its Applications
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Linear Algebra and its Applications
Article . 1992
License: Elsevier Non-Commercial
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Linear Algebra and its Applications
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Eigenvalues and pseudo-eigenvalues of Toeplitz matrices

Authors: Lloyd N. Trefethen; Lothar Reichel;

Eigenvalues and pseudo-eigenvalues of Toeplitz matrices

Abstract

The \(\varepsilon\)-pseudo-eigenvalues of an \(N\times N\) matrix \(A\) are those complex numbers \(z\) for which \(\|(zI-A)^{-1}\|_ 2\geq 1/\varepsilon>0\). The authors' results, which are partly empirical, show that, for small \(\varepsilon\) and large \(N\), the \(\varepsilon\)- pseudospectrum of a Toeplitz matrix is roughly the same as the spectrum of the associated Toeplitz operator. The corresponding pseudo- eigenvectors are also investigated. The authors argue that the existing very different results on the exact spectra of nonnormal Toeplitz matrices are of dubious practical significance.

Keywords

pseudo-eigenvalues, Numerical Analysis, Eigenvalues, singular values, and eigenvectors, Algebra and Number Theory, pseudo-eigenvectors, Discrete Mathematics and Combinatorics, Hermitian, skew-Hermitian, and related matrices, pseudospectrum, Geometry and Topology, Toeplitz matrix, Inequalities involving eigenvalues and eigenvectors

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    popularity
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    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
119
Top 10%
Top 1%
Top 10%
hybrid