Enumerating Matroids and Linear Spaces
Matthew Kwan, Ashwin Sah, Mehtaab Sawhney

TL;DR
This paper establishes the asymptotic count of linear spaces and rank-3 matroids on n points, advancing the enumeration of fixed-rank matroids with a novel quasirandomness approach for bounding clique decompositions.
Contribution
It introduces a new quasirandomness-based method to bound clique decompositions, completing the enumeration of fixed-rank matroids at this level of accuracy.
Findings
Number of linear spaces on n points is approximately (cn+o(n))^{n^2/6}.
Number of rank-3 matroids on n points is approximately (cn+o(n))^{n^2/6}.
New quasirandomness approach replaces entropy method for bounding clique decompositions.
Abstract
We show that the number of linear spaces on a set of points and the number of rank-3 matroids on a ground set of size are both of the form , where . This is the final piece of the puzzle for enumerating fixed-rank matroids at this level of accuracy: the numbers of rank-1 and rank-2 matroids on a ground set of size have exact representations in terms of well-known combinatorial functions, and it was recently proved by van der Hofstad, Pendavingh, and van der Pol that for constant there are rank- matroids on a ground set of size . In our proof, we introduce a new approach for bounding the number of clique decompositions of a complete graph, using quasirandomness instead of the so-called entropy method that is common in this area.
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Taxonomy
TopicsAdvanced Graph Theory Research · Advanced Numerical Analysis Techniques · Advanced Optimization Algorithms Research
