Bounds for c-Ideal Hashing
Abstract
In this paper, we analyze hashing from a worst-case perspective. To this end, we study a new property of hash families that is strongly related to d-perfect hashing, namely c-ideality. On the one hand, this notion generalizes the definition of perfect hashing, which has been studied extensively; on the other hand, it provides a direct link to the notion of c-approximativity. We focus on the usually neglected case where the average load \alpha is at least 1 and prove upper and lower parametrized bounds on the minimal size of c-ideal hash families. As an aside, we show how c-ideality helps to analyze the advice complexity of hashing. The concept of advice, introduced a decade ago, lets us measure the information content of an online problem. We prove hashing's advice complexity to be linear in the hash table size.
Keywords
Cite
@article{arxiv.2301.13832,
title = {Bounds for c-Ideal Hashing},
author = {Fabian Frei and David Wehner},
journal= {arXiv preprint arXiv:2301.13832},
year = {2023}
}