Optimal Monotone Depth-Three Circuit Lower Bounds for Majority
Abstract
Gurumuhkani et al. (CCC'24) introduced the local enumeration problem as follows: for a natural number and a parameter , given an -variate -CNF with no satisfying assignment with Hamming weight less than , enumerate all satisfying assignments of Hamming weight exactly . They showed that efficient algorithms for local enumeration yield new -SAT algorithms and depth-3 lower bounds for Majority function. As the first non-trivial case, they gave an algorithm for 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 and all . 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}
}