Journal of Combinatorial Theory Series A ( IF 1.1 ) Pub Date : 2022-01-17 , DOI: 10.1016/j.jcta.2021.105580 Venkatesan Guruswami , Andrii Riazanov
We say a subset 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 , 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 , 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 on the rate of a k-hash code (in the limit of large n) was obtained by Fredman and Komlós in 1984 for any . While better bounds have been obtained for , their original bound has remained the best known for each . In this work, we present a method to obtain the first improvement to the Fredman-Komlós bound for every .
中文翻译:
击败 Fredman-Komlós 以获得完美的 k 哈希
我们说一个子集 如果对于来自C的k个码字的每个子集,都存在一个坐标,其中所有这些码字具有不同的值,则它是一个k哈希码(也称为k分隔)。了解最大可能速率(以位为单位),定义为, k哈希码是一个经典问题。它出现在两个等效的上下文中:(i) 将包含N个元素的全域映射到的完美散列族的最小尺寸,以及(ii)对于某个组合通道,使用大小小于k的列表进行解码的零错误容量。
的一般上限 Fredman和Komlós在1984年针对任何. 虽然已经获得了更好的界限,他们原来的界限仍然是最知名的 . 在这项工作中,我们提出了一种方法来获得对每个 Fredman-Komlós 界的第一次改进.