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Optimal Hitting Sets for Combinatorial Shapes

机译:组合形状的最佳击球集

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摘要

We consider the problem of constructing explicit Hitting sets for Combinatorial Shapes, a class of statistical tests first studied by Gopalan, Meka, Reingold, and Zuckerman (STOC 2011). These generalize many well-studied classes of tests, including symmetric functions and combinatorial rectangles. Generalizing results of Linial, Luby, Saks, and Zuckerman (Combinatorica 1997) and Rabani and Shpilka (SICOMP 2010), we construct hitting sets for Combinatorial Shapes of size polynomial in the alphabet, dimension, and the inverse of the error parameter. This is optimal up to polynomial factors. The best previous hitting sets came from the Pseudorandom Generator construction of Gopalan et al., and in particular had size that was quasipolynomial in the inverse of the error parameter. Our construction builds on natural variants of the constructions of Linial et al. and Rabani and Shpilka. In the process, we construct fractional perfect hash families and hitting sets for combinatorial rectangles with stronger guarantees. These might be of independent interest.
机译:我们考虑为组合形状构造显式命中集的问题,Gopalan,Meka,Reingold和Zuckerman首先研究了一类统计测试(STOC 2011)。这些概括了许多经过精心研究的测试类别,包括对称函数和组合矩形。将Linial,Luby,Saks和Zuckerman(Combinatorica,1997)以及Rabani和Shpilka(SICOMP,2010)的结果进行归纳,我们构造大小多项式的组合形状的命中集,包括字母,尺寸和误差参数的倒数。在多项式因子之前,这是最佳的。以前最好的命中集来自Gopalan等人的伪随机生成器构造,尤其是其大小与误差参数的倒数是准多项式的。我们的建筑以Linial等人的建筑的自然变体为基础。还有拉巴尼和什皮尔卡在此过程中,我们为分数矩形构造了分数完美的哈希家族和命中集,并具有更强的保证力。这些可能是独立利益。

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