Beating Fredman-Koml\'{o}s for perfect $k$-hashing

TL;DR

This paper improves the classical upper bounds on the rate of $k$-hash codes for all $k \u003e= 5$, advancing understanding in combinatorial coding theory and related hashing problems.

Contribution

It provides the first improvements to the Fredman-Komlós bound for all $k \u003e= 5$, including explicit bounds for small $k$ and a method for general $k$ under a conjecture.

Findings

Improved bounds for $k=5,6$

Potential for bounds on all larger $k$ under a conjecture

Advances in combinatorial coding theory and hashing

Abstract

We say a subset $C \subseteq \{1,2,\dots,k\}^n$ is a $k$-hash code (also called $k$-separated) if for every subset of $k$ codewords from $C$, there exists a coordinate where all these codewords have distinct values. Understanding the largest possible rate (in bits), defined as $(\log_2 |C|)/n$, of a $k$-hash code is a classical problem. It arises in two equivalent contexts: (i) the smallest size possible for a perfect hash family that maps a universe of $N$ elements into $\{1,2,\dots,k\}$, and (ii) the zero-error capacity for decoding with lists of size less than $k$ for a certain combinatorial channel. A general upper bound of $k!/k^{k-1}$ on the rate of a $k$-hash code (in the limit of large $n$) was obtained by Fredman and Koml\'{o}s in 1984 for any $k \geq 4$. While better bounds have been obtained for $k=4$, their original bound has remained the best known for each $k \ge 5$. In this work, we obtain the first improvement to the Fredman-Koml\'{o}s bound for every $k \ge 5$. While we get explicit (numerical) bounds for $k=5,6$, for larger $k$ we only show that the FK bound can be improved by a positive, but unspecified, amount. Under a conjecture on the optimum value of a certain polynomial optimization problem over the simplex, our methods allow an effective bound to be computed for every $k$.