Flattening rank and its combinatorial applications
David Munh\'a Correia, Benny Sudakov, Istv\'an Tomon

TL;DR
This paper establishes a lower bound on the max-flattening rank of semi-diagonal tensors, generalizes a key combinatorial theorem, and improves bounds on rainbow matchings in hypergraphs.
Contribution
It proves the optimal lower bound on max-flattening rank for semi-diagonal tensors and applies this to extend the Frankl-Wilson theorem and improve hypergraph rainbow matching bounds.
Findings
Max-flattening rank of semi-diagonal tensors is at least |A|/(d-1).
Generalization of the Frankl-Wilson theorem on forbidden intersections.
Enhanced bounds for rainbow matchings in hypergraphs.
Abstract
Given a -dimensional tensor (where is a field), the -flattening rank of is the rank of the matrix whose rows are indexed by , columns are indexed by and whose entries are given by the corresponding values of . The max-flattening rank of is defined as . A tensor is called semi-diagonal, if for every , and for every that are all distinct. In this paper we prove that if is semi-diagonal, then , and this bound is the best possible. We give several applications of this result, including a generalization…
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