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New Constructions with Quadratic Separation between Sensitivity and Block Sensitivity

机译:灵敏度和块灵敏度之间存在二次分离的新结构

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Nisan and Szegedy conjectured that block sensitivity is at most polynomial in sensitivity for any Boolean function. There is a huge gap between the best known upper bound on block sensitivity in terms of sensitivity - which is exponential, and the best known separating examples - which give only a quadratic separation between block sensitivity and sensitivity.In this paper we give various new constructions of families of Boolean functions that exhibit quadratic separation between sensitivity and block sensitivity. Some of our constructions match the current largest separation between sensitivity and block sensitivity by Ambainis and Sun. Our constructions have several novel aspects. We use more general function compositions instead of just OR-composition, and give constructions based on algebraic operations. In addition, we give the first direct constructions of families of Boolean functions that have both 0-block sensitivity and 1-block sensitivity quadratically larger than sensitivity.
机译:Nisan和Szegedy推测,对于任何布尔函数,块灵敏度最多是多项式。就灵敏度而言,最著名的块敏感度上限与指数之间有巨大的差距,而最著名的分离示例之间仅存在块敏感度和敏感度之间的二次分离。在本文中,我们给出了各种新的结构布尔函数系列,它们在灵敏度和块灵敏度之间表现出二次分离。我们的某些结构与Ambainis和Sun的灵敏度和块灵敏度之间的最大分隔相匹配。我们的建筑具有几个新颖的方面。我们使用更通用的函数组合,而不仅仅是OR组合,并根据代数运算给出结构。此外,我们给出了布尔函数系列的第一个直接构造,该布尔函数系列的0块灵敏度和1块灵敏度都比灵敏度高2倍。

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