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An optimal lower bound on the communication complexity of gap-hamming-distance

Amit Chakrabarti 1 Oded Regev 2
2 CASCADE - Construction and Analysis of Systems for Confidentiality and Authenticity of Data and Entities
DI-ENS - Département d'informatique de l'École normale supérieure, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR 8548
Abstract : We prove an optimal Ω(n) lower bound on the randomized communication complexity of the much-studied Gap-Hamming-Distance problem. As a consequence, we obtain essentially optimal multi-pass space lower bounds in the data stream model for a number of fundamental problems, including the estimation of frequency moments. The Gap-Hamming-Distance problem is a communication problem, wherein Alice and Bob receive n-bit strings x and y, respectively. They are promised that the Hamming distance between x and y is either at least n/2+√n or at most n/2-√n, and their goal is to decide which of these is the case. Since the formal presentation of the problem by Indyk and Woodruff (FOCS, 2003), it had been conjectured that the naive protocol, which uses n bits of communication, is asymptotically optimal. The conjecture was shown to be true in several special cases, e.g., when the communication is deterministic, or when the number of rounds of communication is limited. The proof of our aforementioned result, which settles this conjecture fully, is based on a new geometric statement regarding correlations in Gaussian space, related to a result of C. Borell (1985). To prove this geometric statement, we show that random projections of not-too-small sets in Gaussian space are close to a mixture of translated normal variables.
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https://hal.inria.fr/hal-01110450
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Submitted on : Wednesday, January 28, 2015 - 11:21:25 AM
Last modification on : Tuesday, May 4, 2021 - 2:06:02 PM

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Amit Chakrabarti, Oded Regev. An optimal lower bound on the communication complexity of gap-hamming-distance. STOC '11 Proceedings of the forty-third annual ACM symposium on Theory of computing, Jun 2011, San Jose, CA, United States. pp.51-60, ⟨10.1145/1993636.1993644⟩. ⟨hal-01110450⟩

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