A central question in additive combinatorics is to understand how large arithmetic progression-free sets can be. In this talk, I will focus on this question for high-dimensional generalization of arithmetic progressions (AP) known as corners. A (2-dimensional) corner is a triple of the form (x,y),(x+d,y),(x,y+d) for some d>0 in [N] × [N]. Extending this definition to higher dimensions, a k-dimensional corner in [N]k is a (k+1)-tuple defined similarly for some d. While it is known that corner-free sets have a vanishingly small density, the precise bounds on their size remain unknown. Until recently, the best-known corner-free sets were derived from constructions of AP-free sets: a construction of a 3-term AP-free set by Behrend from 1946, and a generalization by Rankin for k-term APs in 1961. New results by Linial and Shraibman (CCC 2021) and Green (New Zealand Journal of Mathematics 2021) changed this picture; they improved the upper bound for k=2 by adopting a communication complexity point of view.
I will discuss our recent work where we employ the same perspective of communication complexity and obtain the first improvement on the upper bound of the size of high-dimensional (k>2) corner-free sets since the original construction of Rankin.

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