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文章基本信息

  • 标题:The Average Sensitivity of Bounded-Depth Formulas
  • 本地全文:下载
  • 作者:Benjamin Rossman
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2015
  • 卷号:2015
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We show that unbounded fan-in boolean formulas of depth d + 1 and size s have average sensitivity O ( 1 d log s ) d . In particular, this gives a tight 2 ( d ( n 1 d − 1)) lower bound on the size of depth d + 1 formulas computing the PARITY function. These results strengthen the corresponding 2 ( n 1 d ) and O ( log s ) d bounds for circuits due to Håstad (1986) and Boppana (1997). Our proof technique studies a random process where the Switching Lemma is applied to formulas in an efficient manner.

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