Spectral packing decomposition of CMV matrices through power-law subordinacy

This note gives a classification for the spectral measures of CMV matrices, which are special unitary five-diagonal matrices related to orthogonal polynomials on the unit circle, with respect to packing measures.

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Publication Details

Journal
Journal of Mathematical Physics
Published
2024-09-01
DOI
https://doi.org/10.1063/5.0223814
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Spectral packing decomposition of CMV matrices through power-law subordinacy

Shuzheng Guo, Yaxin Peng
Journal of Mathematical Physics
Matrix Theory and Algorithms
article

Spectral packing decomposition of CMV matrices through power-law subordinacy

Shuzheng Guo, Yaxin Peng
article en

Abstract

This note gives a classification for the spectral measures of CMV matrices, which are special unitary five-diagonal matrices related to orthogonal polynomials on the unit circle, with respect to packing measures.

Journal of Mathematical PhysicsVol. 65(9)
Ocean University of China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 81%
Matrix Theory and Algorithms
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Spectral packing decomposition of CMV matrices through power-law subordinacy — Shuzheng Guo, Yaxin Peng · Journal of Mathematical Physics (2024) | TGRS Research Map | TGRS