Min-Rank Conjecture for Log-Depth Circuits

S. Jukna and G. Schnitger

Abstract

A completion of an $m$-by-$n$ matrix $A$ with entries in $\{0,1,\ast\}$ is obtained by setting all $\ast$-entries to constants $0$ or $1$. A system of semi-linear equations over GF(2) has the form $Mx=f(x)$, where $M$ is a completion of $A$ and $f:\{0,1\}^n \to \{0,1\}^m$ is an operator, the $i$-th coordinate of which can only depend on variables corresponding to $\ast$-entries in the $i$-th row of $A$. We conjecture that no such system can have more than $2^{n-c\cdot mr(A)}$ solutions, where $c>0$ is an absolute constant and $mr(A)$ is the smallest rank over GF(2) of a completion of $A$. The conjecture is related to an old problem of proving super-linear lower bounds on the size of log-depth boolean circuits computing linear operators $x\to Mx$. The conjecture is also a generalization of a classical question about how much larger can non-linear codes be than linear ones. We prove some special cases of the conjecture and establish some structural properties of solution sets.