Self-interlacing polynomials II: Matrices with self-interlacing spectrum

Fuente: arXiv
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Autor principal: Tyaglov, Mikhail
Formato: Preprint
Publicado: 2016
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author Tyaglov, Mikhail
author_facet Tyaglov, Mikhail
contents An $n\times n$ matrix is said to have a self-interlacing spectrum if its eigenvalues $λ_k$, $k=1,\ldots,n$, are distributed as follows $$ λ_1>-λ_2>λ_3>\cdots>(-1)^{n-1}λ_n>0. $$ A method for constructing sign definite matrices with self-interlacing spectra from totally nonnegative ones is presented. We apply this method to bidiagonal and tridiagonal matrices. In particular, we generalize a result by O. Holtz on the spectrum of real symmetric anti-bidiagonal matrices with positive nonzero entries.
format Preprint
id arxiv_https___arxiv_org_abs_1612_05102
institution arXiv
publishDate 2016
record_format arxiv
spellingShingle Self-interlacing polynomials II: Matrices with self-interlacing spectrum
Tyaglov, Mikhail
Classical Analysis and ODEs
Spectral Theory
15A18, 15B05, 12D10, 15B35, 15B48
An $n\times n$ matrix is said to have a self-interlacing spectrum if its eigenvalues $λ_k$, $k=1,\ldots,n$, are distributed as follows $$ λ_1>-λ_2>λ_3>\cdots>(-1)^{n-1}λ_n>0. $$ A method for constructing sign definite matrices with self-interlacing spectra from totally nonnegative ones is presented. We apply this method to bidiagonal and tridiagonal matrices. In particular, we generalize a result by O. Holtz on the spectrum of real symmetric anti-bidiagonal matrices with positive nonzero entries.
title Self-interlacing polynomials II: Matrices with self-interlacing spectrum
topic Classical Analysis and ODEs
Spectral Theory
15A18, 15B05, 12D10, 15B35, 15B48
url https://arxiv.org/abs/1612.05102