Upper Bounds on the Boolean Rank of Kronecker Products
Ishay Haviv, Michal Parnas

TL;DR
This paper develops a new general method to establish upper bounds on the Boolean rank of Kronecker products of 0-1 matrices, settling a longstanding open question for all sufficiently large matrices and providing near-optimal explicit constructions.
Contribution
It introduces a novel approach for bounding Boolean ranks of Kronecker products and applies it to resolve an open problem for all n ≥ 7, with explicit near-optimal constructions.
Findings
Confirmed the Boolean rank inequality for all n ≥ 7.
Provided explicit near-optimal covers for C_n ⊗ C_n.
Extended the method to the framework of spanoids.
Abstract
The Boolean rank of a -matrix , denoted , is the smallest number of monochromatic combinatorial rectangles needed to cover the -entries of . In 1988, de Caen, Gregory, and Pullman asked if the Boolean rank of the Kronecker product is strictly smaller than the square of , where is the matrix with zeros on the diagonal and ones everywhere else (Carib. Conf. Comb. & Comp., 1988). A positive answer was given by Watts for (Linear Alg. and its Appl., 2001). A result of Karchmer, Kushilevitz, and Nisan, motivated by direct-sum questions in non-deterministic communication complexity, implies that the Boolean rank of grows linearly in that of (SIAM J. Disc. Math., 1995), and thus for every sufficiently large . Their proof…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · graph theory and CDMA systems · Advanced Graph Theory Research
