Dimension-independent stability of the Böttcher–Wenzel inequality

For complex matrices A and B of unit Frobenius norm in every dimension n >= 2, define the Böttcher-Wenzel deficit by D(A,B) = 2 - ||AB-BA||_F^2. We prove that the squared distance to the full set of normalized equality pairs is at most C D(A,B), where C is finite and independent of the matrix size. Both matrices therefore concentrate, with total squared error O(D), on one two-dimensional subspace supporting a trace-free equality pair. The proof compresses both matrices to a common space of dimension at most eight while preserving the order of the deficit and gives a uniform lower bound for the normal quadratic form at every equality pair. The optimal near-equality constant for the squared distance is 1 uniformly over all dimensions; it is also 1 in each fixed dimension at least three and is 1/2 in dimension two. Explicit families attain these limits and prove sharpness of the square-root distance exponent. The exact optimal global constant remains open.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23918509
Primary Topic
Matrix Theory and Algorithms
Type
preprint
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preprint

Dimension-independent stability of the Böttcher–Wenzel inequality

Zihuan Xu
Zenodo (CERN European Organization for Nuclear Research)
Matrix Theory and Algorithms
preprint

Dimension-independent stability of the Böttcher–Wenzel inequality

Zihuan Xu
preprint en

Abstract

For complex matrices A and B of unit Frobenius norm in every dimension n >= 2, define the Böttcher-Wenzel deficit by D(A,B) = 2 - ||AB-BA||_F^2. We prove that the squared distance to the full set of normalized equality pairs is at most C D(A,B), where C is finite and independent of the matrix size. Both matrices therefore concentrate, with total squared error O(D), on one two-dimensional subspace supporting a trace-free equality pair. The proof compresses both matrices to a common space of dimension at most eight while preserving the order of the deficit and gives a uniform lower bound for the normal quadratic form at every equality pair. The optimal near-equality constant for the squared distance is 1 uniformly over all dimensions; it is also 1 in each fixed dimension at least three and is 1/2 in dimension two. Explicit families attain these limits and prove sharpness of the square-root distance exponent. The exact optimal global constant remains open.

Zenodo (CERN European Organization for Nuclear Research)
Capital Normal University (CN)
Matrix Theory and Algorithms
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