Non-Empty Bins with Simple Tabulation Hashing

10/31/2018

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by   Anders Aamand, et al.

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We consider the hashing of a set X⊆ U with |X|=m using a simple tabulation hash function h:U→ [n]={0,...,n-1} and analyse the number of non-empty bins, that is, the size of h(X). We show that the expected size of h(X) matches that with fully random hashing to within low-order terms. We also provide concentration bounds. The number of non-empty bins is a fundamental measure in the balls and bins paradigm, and it is critical in applications such as Bloom filters and Filter hashing. For example, normally Bloom filters are proportioned for a desired low false-positive probability assuming fully random hashing (see <en.wikipedia.org/wiki/Bloom_filter>). Our results imply that if we implement the hashing with simple tabulation, we obtain the same low false-positive probability for any possible input.