Optimal Monotone Depth-Three Circuit Lower Bounds for Majority

Abstract

Gurumuhkani et al. (CCC'24) introduced the local enumeration problem Enum(k, t) as follows: for a natural number k and a parameter t, given an n-variate k-CNF with no satisfying assignment with Hamming weight less than t(n), enumerate all satisfying assignments of Hamming weight exactly t(n). They showed that efficient algorithms for local enumeration yield new k-SAT algorithms and depth-3 lower bounds for Majority function. As the first non-trivial case, they gave an algorithm for k = 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 = 3 and all t 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.

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