Matroid adjoints and the minimum rank of zero-nonzero matrix patterns
Louis Deaett, Kevin Grace

TL;DR
This paper explores the relationship between matroid adjoints and the minimum rank of zero-nonzero matrix patterns, revealing how matroid properties influence matrix rank bounds and their dependence on field representability.
Contribution
It establishes a connection between matroid adjoints and the gap between triangle number and minimum rank, and characterizes when this gap can occur based on matroid properties.
Findings
Matroid adjoints correspond to the transpose of the fundamental pattern.
The minimum rank of the fundamental pattern is unique and depends on matroid representability.
A pattern's matroid minimum rank is smaller than matrix minimum rank over all fields in specific cases.
Abstract
The problem of finding the minimum rank of a matrix with a given zero-nonzero pattern has been generalized to a class of matroids associated to the pattern. The fundamental lower bound known as the triangle number still holds in this generalized setting. But the matroid minimum rank of a pattern need not match that of its transpose. We associate to each pattern a lattice . We define the fundamental pattern of a matroid to be the complement of its hyperplane-point incidence pattern and note that when is the fundamental pattern of , the lattice of flats of is . We then prove that, for every pattern , the dual lattice of is isomorphic to . We show that a matroid of the same rank as is an adjoint of if and only if is associated with the transpose of the fundamental pattern of . Our main result ties together the notion…
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Taxonomy
TopicsMatrix Theory and Algorithms · Tensor decomposition and applications · Advanced Topics in Algebra
