English

Optimal Monotone Depth-Three Circuit Lower Bounds for Majority

Computational Complexity 2026-02-05 v2

Abstract

Gurumuhkani et al. (CCC'24) introduced the local enumeration problem Enum(k,t)Enum(k, t) as follows: for a natural number kk and a parameter tt, given an nn-variate kk-CNF with no satisfying assignment with Hamming weight less than t(n)t(n), enumerate all satisfying assignments of Hamming weight exactly t(n)t(n). They showed that efficient algorithms for local enumeration yield new kk-SAT algorithms and depth-3 lower bounds for Majority function. As the first non-trivial case, they gave an algorithm for k=3k = 3 which in particular gave a new lower bound on the size of depth-3 circuits with bottom fan-in at most 3 computing Majority. In this paper, we give an optimal algorithm that solves local enumeration on monotone formulas for k=3k = 3 and all tn/2t \le n/2. In particular, we obtain an optimal lower bound on the size of monotone depth-3 circuits with bottom fan-in at most 3 computing Majority.

Keywords

Cite

@article{arxiv.2601.04072,
  title  = {Optimal Monotone Depth-Three Circuit Lower Bounds for Majority},
  author = {Mohit Gurumukhani and Daniel Kleber and Ramamohan Paturi and Christopher Rosin and Michael Saks and Navid Talebanfard},
  journal= {arXiv preprint arXiv:2601.04072},
  year   = {2026}
}
R2 v1 2026-07-01T08:54:39.766Z