Spectral packing decomposition of CMV matrices through power-law subordinacy
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Publication:6619664
DOI10.1063/5.0223814zbMATH Open1548.47002MaRDI QIDQ6619664
Publication date: 16 October 2024
Published in: Journal of Mathematical Physics (Search for Journal in Brave)
Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) (33C45) Random matrices (algebraic aspects) (15B52) Random linear operators (47B80) Local spectral properties of linear operators (47A11)
Cites Work
- Title not available (Why is that?)
- On subordinacy and analysis of the spectrum of one-dimensional Schrödinger operators
- Power law subordinacy and singular spectra. II: Line operators.
- Power-law subordinacy and singular spectra. I: Half-line operators
- Spectral packing dimensions through power-law subordinacy
- Subordinacy theory for extended CMV matrices
- Packing Measure, and its Evaluation for a Brownian Path
- On subordinacy and analysis of the spectrum of Schrödinger operators with two singular endpoints
- Two definitions of fractional dimension
- PACKING SUBORDINACY WITH APPLICATION TO SPECTRAL CONTINUITY
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