Hypergraph Removal Lemmas via Robust Sharp Threshold Theorems
Noam Lifshitz

TL;DR
This paper extends the sharp threshold theorem to nearly monotone functions with weaker symmetry, and applies this to prove a hypergraph removal lemma valid for larger hypergraphs than previously possible.
Contribution
It introduces robust versions of the sharp threshold theorem using regularity lemmas and invariance principles, enabling hypergraph removal results for larger hypergraphs.
Findings
Robust sharp threshold theorems for almost monotone functions.
Hypergraph removal lemma valid for hypergraphs with linear size edges.
Applicable to hypergraphs with bounded edge intersections.
Abstract
The classical sharp threshold theorem of Friedgut and Kalai (1996) asserts that any symmetric monotone function exhibits a sharp threshold phenomenon. This means that the expectation of with respect to the biased measure increases rapidly from 0 to 1 as increases. In this paper we present `robust' versions of the theorem, which assert that it holds also if the function is `almost' monotone, and admits a much weaker notion of symmetry. Unlike the original proof of the theorem which relies on hypercontractivity, our proof relies on a `regularity' lemma (of the class of Szemer\'edi's regularity lemma and its generalizations) and on the `invariance principle' of Mossel, O'Donnell, and Oleszkiewicz which allows (under certain conditions) replacing functions on the cube with functions on Gaussian random variables. The hypergraph…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLimits and Structures in Graph Theory · Complexity and Algorithms in Graphs · Markov Chains and Monte Carlo Methods
