Norm-Attainable Operators in Hilbert Spaces: Probabilistic and Finite-Rank Perspectives

On this note, we investigate norm-attainable operators in Hilbert spaces, focusing on probabilistic and finite-rank perspectives. We present key results concerning the existence and properties of norm-attaining vectors, particularly for compact and finite-rank operators. Using spectral theory and concentration of measure, we show that norm-attaining vectors form compact subspaces in the unit sphere. Additionally, we explore how unitary transformations affect these vectors and discuss the implications for operator theory and functional analysis.

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Publication Details

Journal
Asian Journal of Probability and Statistics
Published
2025-06-11
DOI
https://doi.org/10.9734/ajpas/2025/v27i6765
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.00
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article

Norm-Attainable Operators in Hilbert Spaces: Probabilistic and Finite-Rank Perspectives

Samuel B. Apima, Mogoi N. Evans
Asian Journal of Probability and Statistics
Numerical methods in inverse problems
article

Norm-Attainable Operators in Hilbert Spaces: Probabilistic and Finite-Rank Perspectives

Samuel B. Apima, Mogoi N. Evans
article en

Abstract

On this note, we investigate norm-attainable operators in Hilbert spaces, focusing on probabilistic and finite-rank perspectives. We present key results concerning the existence and properties of norm-attaining vectors, particularly for compact and finite-rank operators. Using spectral theory and concentration of measure, we show that norm-attaining vectors form compact subspaces in the unit sphere. Additionally, we explore how unitary transformations affect these vectors and discuss the implications for operator theory and functional analysis.

Asian Journal of Probability and StatisticsVol. 27(6)
Jaramogi Oginga Odinga University of Science and Technology (KE)
Openalex Percentile: Top 81%
Numerical methods in inverse problems
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