The Strong Singular Value Property for Matrices
Caleb Cheung, Bryan Shader

TL;DR
This paper introduces the strong singular value property, a new concept to analyze which lists of nonnegative real numbers can be singular values of matrices with specific zero-nonzero patterns.
Contribution
The paper develops the strong singular value property and applies it to characterize possible singular value lists for matrices with prescribed zero-nonzero patterns.
Findings
Introduces the strong singular value property.
Provides criteria for singular value realizability with pattern constraints.
Advances understanding of matrix spectral properties with zero patterns.
Abstract
A new property, the strong singular value property, is introduced, developed, and utilized to study the problem of which lists of nonnegative real numbers occur as the singular values of a matrix with a prescribed zero-nonzero pattern.
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