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  • 标题:Size of Sets with Small Sensitivity: a Generalization of Simon's Lemma
  • 本地全文:下载
  • 作者:Andris Ambainis ; Jevgenijs Vihrovs
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2014
  • 卷号:2014
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We study the structure of sets S 0 1 n with small sensitivity. The well-known Simon's lemma says that any S 0 1 n of sensitivity s must be of size at least 2 n − s . This result has been useful for proving lower bounds on sensitivity of Boolean functions, with applications to the theory of parallel computing and the "sensitivity vs. block sensitivity" conjecture.

    In this paper, we take a deeper look at the size of such sets and their structure. We show an unexpected "gap theorem": if S 0 1 n has sensitivity s , then we either have S = 2 n − s or S 2 3 2 n − s . This is shown via classifying such sets into sets that can be constructed from low-sensitivity subsets of 0 1 n for n n and irreducible sets which cannot be constructed in such a way and then proving a lower bound on the size of irreducible sets.

    This provides new insights into the structure of low sensitivity subsets of the Boolean hypercube 0 1 n .

  • 关键词:Boolean Functions ; Computational Complexity ; Inequalities on Boolean Hypercube ; block sensitivity
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