On Extremal Properties of k-CNF: Capturing Threshold Functions
Mohit Gurumukhani, Marvin Künnemann, Ramamohan Paturi
TL;DR
This work analyzes how well $k$-CNF formulas can represent threshold functions by studying the extremal quantity $S(n,t,k)$, the maximum number of weight-$t$ assignments a $t$-admissible $k$-CNF can accept. It reveals deep connections to classical combinatorial problems: for $t=n-k$ the problem is equivalent to Turán-type questions, while in the large-width regime it aligns with Steiner systems, and for the linear-threshold regime it admits an adaptive block construction with a proven optimality for $k=2$. The results yield exact bounds in several regimes and imply circuit lower bounds via $F(n,t,k)$, highlighting a rich interface between CNF representations of threshold functions and extremal combinatorics. The findings advance understanding of the combinatorial structure of $k$-CNF solution spaces and their implications for depth-$3$ circuit complexity.
Abstract
We consider a basic question on the expressiveness of $k$-CNF formulas: How well can $k$-CNF formulas capture threshold functions? Specifically, what is the largest number of assignments (of Hamming weight $t$) accepted by a $k$-CNF formula that only accepts assignments of weight at least $t$? Among others, we provide the following results: - While an optimal solution is known for $t \leq n/k$, the problem remains open for $t > n/k$. We formulate a (monotone) version of the problem as an extremal hypergraph problem and show that for $t = n-k$, the problem is exactly the Turán problem. - For $t = αn$ with constant $α$, we provide a construction and show its optimality for $2$-CNF. Optimality of the construction for $k>2$ would give improved lower bounds for depth-$3$ circuits.
