A Generalisation of Sperner's Theorem Using Weighted Chains
Yaël Dillies, Matthew Johnson, Aleksandra Kowalska
TL;DR
This work generalizes Sperner-type extremal set theory to the cube {0,1,...,d}^n under a width constraint k. It develops a weighted symmetric chain decomposition for the d=1 and d=2 cases, proving that the unique (for d=2) largest family is the layer set {|x| ≡ n (mod 2k+1)}. The method leverages explicit chain weights to ensure a unit induced weight on all points, with positivity proved via recursive binomial-type identities; this yields a constructive optimal set and a new Sperner proof as a byproduct. The authors also outline conjectures and asymptotic results suggesting similar parity-based optimal sets for general d and discuss potential generalizations and future research directions.
Abstract
We find the (unique) largest subset of $\{0, 1, 2\}^n$ such that it contains no two elements, one of which is coordinatewise greater than the other, but strictly greater on at most $k$ coordinates. To do so, we decompose the cube into weighted chains. In Appendix B we present a new proof of Sperner's theorem we found while working on this problem.
