On the linear complexity of subsets of $\mathbb{F}_p^n$ bounded $\textrm{VC}_2$-dimension
Hannah Sheats, Caroline Terry

TL;DR
This paper improves bounds on the linear complexity of subsets of finite vector spaces with bounded VC2-dimension, using advanced regularity lemmas and inverse theorems to achieve exponential bounds.
Contribution
It establishes new upper bounds on the linear complexity for such sets, reducing previous tower-type bounds to triple and quadruple exponential bounds depending on the rank functions.
Findings
Linear complexity bounds improved to triple and quadruple exponential.
Established equivalence of local U^3 norms in different contexts.
Applied regularity lemmas and inverse theorems to finite field subsets.
Abstract
Previous work of the second author and Wolf showed that given a set of bounded -dimension, there is a high rank quadratic factor of bounded complexity such that is approximately equal to a union of atoms of . That proof yielded bounds of tower type on the linear and quadratic complexities. It was later shown by the same authors that the quadratic complexity can be improved to logarithmic, however that proof provided no improvement on the linear component. In this paper we prove that the bound on the linear complexity can be improved to a triple exponential in the case of linear rank functions, and a quadruple exponential for polynomial rank functions of higher degree. Our strategy is based on the one developed by Gishboliner, Wigderson, and Shapira to prove the analogous result in the hypergraph setting. Step 1…
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Taxonomy
TopicsLimits and Structures in Graph Theory · Complexity and Algorithms in Graphs · Advanced Graph Theory Research
