Total negativity: Characterizations and single-vector tests
Projesh Nath Choudhury

TL;DR
This paper introduces new characterizations of totally negative and non-positive matrices using single-vector tests, with applications to interval hulls and connections to classical matrix theory results.
Contribution
It provides novel characterizations of total negativity via sign non-reversal, variation diminishing, and LCP properties, each using a single test vector, extending classical matrix theory.
Findings
Characterizations of total negativity using single test vectors.
Identification of matrices testing total negativity in interval hulls.
Limitations on test vectors for detecting total negativity/non-positivity.
Abstract
A matrix is called totally negative (totally non-positive) of order , if all its minors of size at most are negative (non-positive). The objective of this article is to provide several novel characterizations of total negativity via the (a) sign non-reversal property, (b) variation diminishing property, and (c) Linear Complementarity Problem. More strongly, each of these three characterizations uses a single test vector. As an application of the sign non-reversal property, we study the interval hull of two rectangular matrices. In particular, we identify two matrices in the interval hull of matrices and that test total negativity of order , simultaneously for the entire interval hull. We also show analogous characterizations for totally non-positive matrices. These novel characterizations may be considered similar in spirit to fundamental results…
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Taxonomy
Topicsgraph theory and CDMA systems · Mathematical Inequalities and Applications · Advanced Algebra and Logic
