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Polynomial bounds for decoupling, with applications

Published: 29 May 2016 Publication History

Abstract

Let f(x) = f(x1, ..., xn) = Σ|S|≤k aS IIiS xi be an n-variate real multilinear polynomial of degree at most k, where S ⊆ [n] = {1, 2, ..., n}. For its one-block decoupled version.
[EQUATION]
we show tail-bound comparisons of the form
[EQUATION]
Our constants Ck, Dk are significantly better than those known for "full decoupling". For example, when x, y, z are independent Gaussians we obtain Ck = Dk = O(k); when x, y, z are ±1 random variables we obtain Ck = O(k2), Dk = kO(k). By contrast, for full decoupling only Ck = Dk = kO(k) is known in these settings.
We describe consequences of these results for query complexity (related to conjectures of Aaronson and Ambainis) and for analysis of Boolean functions (including an optimal sharpening of the DFKO Inequality).

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  • (2016)Polynomials, quantum query complexity, and Grothendieck's inequalityProceedings of the 31st Conference on Computational Complexity10.5555/2982445.2982470(1-19)Online publication date: 29-May-2016

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    Published In

    cover image Guide Proceedings
    CCC '16: Proceedings of the 31st Conference on Computational Complexity
    May 2016
    843 pages
    ISBN:9783959770088
    • Editor:
    • Ran Raz

    Sponsors

    • Microsoft Reasearch: Microsoft Reasearch

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    Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik

    Dagstuhl, Germany

    Publication History

    Published: 29 May 2016

    Author Tags

    1. boolean functions
    2. decoupling
    3. fourier analysis
    4. query complexity

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    • (2016)Polynomials, quantum query complexity, and Grothendieck's inequalityProceedings of the 31st Conference on Computational Complexity10.5555/2982445.2982470(1-19)Online publication date: 29-May-2016

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