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Hadamard tensors and lower bounds on multiparty communication complexity

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Abstract

We develop a new method for estimating the discrepancy of tensors associated with multiparty communication problems in the “Number on the Forehead” model of Chandra, Furst, and Lipton. We define an analog of the Hadamard property of matrices for tensors in multiple dimensions and show that any k-party communication problem represented by a Hadamard tensor must have Ω(n/2k) multiparty communication complexity. We also exhibit constructions of Hadamard tensors. This allows us to obtain Ω(n/2k) lower bounds on multiparty communication complexity for a new class of explicitly defined Boolean functions.

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Authors and Affiliations

  1. Microsoft, Redmond, WA, 98052-6399, USA

    Jeff Ford

  2. Department of Computer Science, University of Texas at Austin, Austin, TX, 78712-1188, USA

    Anna Gál

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  1. Jeff Ford
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  2. Anna Gál
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Correspondence to Anna Gál.

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Ford, J., Gál, A. Hadamard tensors and lower bounds on multiparty communication complexity. comput. complex. 22, 595–622 (2013). https://doi.org/10.1007/s00037-012-0052-6

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  • DOI: https://doi.org/10.1007/s00037-012-0052-6

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