Sign regular matrices and variation diminution: single-vector tests and characterizations, following Schoenberg, Gantmacher-Krein, and Motzkin
Projesh Nath Choudhury, Shivangi Yadav

TL;DR
This paper advances the theory of sign regular matrices by providing new characterizations using variation diminution, especially through single-vector tests in the alternating bi-orthant, extending classical results in total positivity.
Contribution
It strengthens existing characterizations of sign regular matrices by using single test vectors in the alternating bi-orthant and refines Motzkin's criteria without rank conditions.
Findings
Characterization of all SSR matrices using variation diminution.
Single test vectors in the alternating bi-orthant are effective for characterization.
Test vectors from other orthants are ineffective for these characterizations.
Abstract
Variation diminution (VD) is a fundamental property in total positivity theory, first studied in 1912 by Fekete-P\'olya for one-sided P\'olya frequency sequences, followed by Schoenberg, and by Motzkin who characterized sign regular (SR) matrices using VD and some rank hypotheses. A classical theorem by Gantmacher-Krein characterized the strictly sign regular (SSR) matrices for using this property. In this article we strengthen these results by characterizing all SSR matrices using VD. We further characterize strict sign regularity of a given sign pattern in terms of VD together with a natural condition motivated by total positivity. We then refine Motzkin's characterization of SR matrices by omitting the rank condition and specifying the sign pattern. This concludes a line of investigation on VD started by Fekete-P\'olya [Rend. Circ. Mat. Palermo 1912]…
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Taxonomy
TopicsMatrix Theory and Algorithms · Blind Source Separation Techniques · Approximation Theory and Sequence Spaces
