Stability versions of Erd\H{o}s-Ko-Rado type theorems, via isoperimetry
David Ellis, Nathan Keller, Noam Lifshitz

TL;DR
This paper introduces a general isoperimetric approach to derive stability versions of Erdős-Ko-Rado type theorems, showing that near-maximal families are structurally close to maximum families across various intersection conditions.
Contribution
The paper presents a novel, broad method using isoperimetric inequalities to obtain stability results for EKR-type theorems without re-proving original results.
Findings
Established tight stability versions of the EKR theorem.
Extended stability results to the Ahlswede-Khachatrian theorem.
Demonstrated stability under weaker intersection conditions.
Abstract
Erd\H{o}s-Ko-Rado (EKR) type theorems yield upper bounds on the sizes of families of sets, subject to various intersection requirements on the sets in the family. Stability versions of such theorems assert that if the size of a family is close to the maximum possible size, then the family itself must be close (in some appropriate sense) to a maximum-sized family. In this paper, we present an approach to obtaining stability versions of EKR-type theorems, via isoperimetric inequalities for subsets of the hypercube. Our approach is rather general, and allows the leveraging of a wide variety of exact EKR-type results into strong stability versions of these results, without going into the proofs of the original results. We use this approach to obtain tight stability versions of the EKR theorem itself and of the Ahlswede-Khachatrian theorem on -intersecting families of -element…
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 · Mathematical Approximation and Integration · Complexity and Algorithms in Graphs
