Large values of the Gowers-Host-Kra seminorms
Tanja Eisner, Terence Tao

TL;DR
This paper characterizes functions with near-maximal Gowers-Host-Kra seminorms, showing they resemble polynomial phases or nilsequences, and identifies thresholds for their structure, advancing understanding of additive pattern counting.
Contribution
It provides a higher-order property testing characterization of functions with large Gowers-Host-Kra seminorms, linking near-extremal norms to polynomial phases and nilsequences.
Findings
Functions with near-maximal Gowers-Host-Kra seminorms resemble polynomial phases.
Threshold behavior for 2-step nilsequences emerges at a specific $U^3$ norm level.
Characterization extends classical results to higher-order seminorms and structures.
Abstract
The \emph{Gowers uniformity norms} of a function on a finite additive group , together with the slight variant defined for functions on a discrete interval , are of importance in the modern theory of counting additive patterns (such as arithmetic progressions) inside large sets. Closely related to these norms are the \emph{Gowers-Host-Kra seminorms} of a measurable function on a measure-preserving system . Much recent effort has been devoted to the question of obtaining necessary and sufficient conditions for these Gowers norms to have non-trivial size (e.g. at least for some small ), leading in particular to the inverse conjecture for the Gowers norms, and to the Host-Kra classification of characteristic factors for the Gowers-Host-Kra…
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 · Analytic Number Theory Research · Graph theory and applications
