Eigenvalue asymptotic expansion of large tetradiagonal Toeplitz matrices: cusp case

Abstract In a paper from 2021, Albrecht Böttcher, Juanita Gasca, Sergei M. Grudsky, and Anatoli V. Kozak gave a precise and complete description of all types of the limit Schmidt–Spitzer sets for tetradiagonal Toeplitz matrices. In this paper, we consider one of these possible cases, when the limit set consists of two analytic arcs that join at one point forming a cusp. For this family of Toeplitz matrices, we provide asymptotic formulas for every eigenvalue as the order of the matrix tends to infinity. Our analysis provides a theoretical understanding of the structural behavior of the eigenvalues, while the obtained formulas enable high-precision calculation of the eigenvalues.

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Publication Details

Journal
Boletín de la Sociedad Matemática Mexicana
Published
2025-12-02
DOI
https://doi.org/10.1007/s40590-025-00835-4
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Eigenvalue asymptotic expansion of large tetradiagonal Toeplitz matrices: cusp case

Alejandro Soto-González, Sergei M. Grudsky, A. V. Kozak
Boletín de la Sociedad Matemática Mexicana
Matrix Theory and Algorithms
article

Eigenvalue asymptotic expansion of large tetradiagonal Toeplitz matrices: cusp case

Alejandro Soto-González, Sergei M. Grudsky, A. V. Kozak
article en

Abstract

Abstract In a paper from 2021, Albrecht Böttcher, Juanita Gasca, Sergei M. Grudsky, and Anatoli V. Kozak gave a precise and complete description of all types of the limit Schmidt–Spitzer sets for tetradiagonal Toeplitz matrices. In this paper, we consider one of these possible cases, when the limit set consists of two analytic arcs that join at one point forming a cusp. For this family of Toeplitz matrices, we provide asymptotic formulas for every eigenvalue as the order of the matrix tends to infinity. Our analysis provides a theoretical understanding of the structural behavior of the eigenvalues, while the obtained formulas enable high-precision calculation of the eigenvalues.

Boletín de la Sociedad Matemática MexicanaVol. 32(1)
Southern Federal University (RU), Instituto Politécnico Nacional (MX)
Southern Federal University
Openalex Percentile: Top 62%
Matrix Theory and Algorithms
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