Sign non-reversal property for totally non-negative and totally positive matrices, and testing total positivity of their interval hull
Projesh Nath Choudhury, M. Rajesh Kannan, and Apoorva Khare

TL;DR
This paper introduces novel characterizations of totally positive and non-negative matrices using the sign non-reversal property, and applies these to efficiently test total positivity within matrix interval hulls.
Contribution
It provides new criteria based on sign non-reversal for identifying TP_k and TN_k matrices, simplifying the testing process.
Findings
Characterizations of TP_k and TN_k matrices via sign non-reversal property.
A method to test total positivity within matrix interval hulls.
Identification of minimal subsets for total positivity detection.
Abstract
A matrix is totally positive (or non-negative) of order , denoted (or ), if all minors of size are positive (or non-negative). It is well-known that such matrices are characterized by the variation diminishing property together with the sign non-reversal property. We do away with the former, and show that is if and only if every submatrix formed from at most consecutive rows and columns has the sign non-reversal property. In fact this can be strengthened to only consider test vectors in with alternating signs. We also show a similar characterization for all matrices - more strongly, both of these characterizations use a single vector (with alternating signs) for each square submatrix. These characterizations are novel, and similar in spirit to the fundamental results characterizing matrices by Gantmacher-Krein…
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