On the Frobenius norm of the inverse of a non-negative matrix

We prove a new lower bound for the Frobenius norm of the inverse of an non-negative matrix. This bound is only a modest improvement over previous results, but is sufficient for fully resolving a conjecture of Harwitz and Sloane, commonly referred to as the S-matrix conjecture, for all dimensions larger than a small constant.

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Publication Details

Journal
Linear Algebra and its Applications
Published
2024-12-06
DOI
https://doi.org/10.1016/j.laa.2024.11.030
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
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article

On the Frobenius norm of the inverse of a non-negative matrix

Elsa Frankel, John Urschel
Linear Algebra and its Applications
Matrix Theory and Algorithms
article

On the Frobenius norm of the inverse of a non-negative matrix

Elsa Frankel, John Urschel
article en

Abstract

We prove a new lower bound for the Frobenius norm of the inverse of an non-negative matrix. This bound is only a modest improvement over previous results, but is sufficient for fully resolving a conjecture of Harwitz and Sloane, commonly referred to as the S-matrix conjecture, for all dimensions larger than a small constant.

Linear Algebra and its ApplicationsVol. 708
Wellesley College (US), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 73%
Matrix Theory and Algorithms
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On the Frobenius norm of the inverse of a non-negative matrix — Elsa Frankel, John Urschel · Linear Algebra and its Applications (2024) | TGRS Research Map | TGRS