A relative Szemer\'edi theorem
David Conlon, Jacob Fox, Yufei Zhao

TL;DR
This paper presents a simplified and strengthened proof of the relative Szemerédi theorem, requiring weaker pseudorandomness conditions, and extends the regularity method to sparse hypergraphs to find long arithmetic progressions in pseudorandom sets.
Contribution
The authors provide a simplified proof of a stronger relative Szemerédi theorem, applicable to sparser pseudorandom subsets, and extend the regularity method to sparse hypergraphs.
Findings
Proved a strengthened relative Szemerédi theorem under weaker pseudorandomness conditions.
Extended the regularity method to sparse pseudorandom hypergraphs.
Derived a relative hypergraph removal lemma applicable to sparse sets.
Abstract
The celebrated Green-Tao theorem states that there are arbitrarily long arithmetic progressions in the primes. One of the main ingredients in their proof is a relative Szemer\'edi theorem which says that any subset of a pseudorandom set of integers of positive relative density contains long arithmetic progressions. In this paper, we give a simple proof of a strengthening of the relative Szemer\'edi theorem, showing that a much weaker pseudorandomness condition is sufficient. Our strengthened version can be applied to give the first relative Szemer\'edi theorem for -term arithmetic progressions in pseudorandom subsets of of density . The key component in our proof is an extension of the regularity method to sparse pseudorandom hypergraphs, which we believe to be interesting in its own right. From this we derive a relative extension of 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 · Computability, Logic, AI Algorithms · Advanced Topology and Set Theory
