A Refinement of the Hilbert–Schmidt Norm Inequality for 2 ×2 Block Hermitian Matrices

We establish a parametric refinement of the classical Kittaneh Frobenius (Hilbert Schmidt) norm inequality for 2×2 block Hermitian matrices X = A B B∗ C ∈M2n(C).By analyzing the convex combination αA + (1 − α)C for α ∈ (0,1), we derive a tight upper bound incorporating both the off-diagonal block B and the variance term ∥A−C∥2 F. Our approach yields a concise, self-contained proof that eliminates the need for complex operator-theoretic machinery, recovering the standard symmetric bounds as a special case when α = 1/2.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-17
DOI
https://doi.org/10.5281/zenodo.21984737
Primary Topic
Mathematical Inequalities and Applications
Type
preprint
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preprint

A Refinement of the Hilbert–Schmidt Norm Inequality for 2 ×2 Block Hermitian Matrices

Francisco Petitti
Zenodo (CERN European Organization for Nuclear Research)
Mathematical Inequalities and Applications
preprint

A Refinement of the Hilbert–Schmidt Norm Inequality for 2 ×2 Block Hermitian Matrices

Francisco Petitti
preprint en

Abstract

We establish a parametric refinement of the classical Kittaneh Frobenius (Hilbert Schmidt) norm inequality for 2×2 block Hermitian matrices X = A B B∗ C ∈M2n(C).By analyzing the convex combination αA + (1 − α)C for α ∈ (0,1), we derive a tight upper bound incorporating both the off-diagonal block B and the variance term ∥A−C∥2 F. Our approach yields a concise, self-contained proof that eliminates the need for complex operator-theoretic machinery, recovering the standard symmetric bounds as a special case when α = 1/2.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Mathematical Inequalities and Applications
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A Refinement of the Hilbert–Schmidt Norm Inequality for 2 ×2 Block Hermitian Matrices — Francisco Petitti · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS