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  • 标题:Improved Average-Case Lower Bounds for DeMorgan Formula Size
  • 本地全文:下载
  • 作者:Ilan Komargodski ; Ran Raz ; Avishay Tal
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2013
  • 卷号:2013
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We give a function h:01n01 such that every deMorgan formula of size n3−o(1)r2 agrees with h on at most a fraction of 21+2−(r) of the inputs. This improves the previous average-case lower bound of Komargodski and Raz (STOC, 2013).

    Our technical contributions include a theorem that shows that the ``expected shrinkage'' result of Håstad (SIAM J. Comput., 1998) actually holds with very high probability (where the restrictions are chosen from a certain distribution that takes into account the structure of the formula), combining ideas of both Impagliazzo, Meka and Zuckerman (FOCS, 2012) and Komargodski and Raz. In addition, using a bit-fixing extractor in the construction of h allows us to simplify a major part of the analysis of Komargodski and Raz

  • 关键词:average-case; bit-fixing extractors; Correlation Bounds; deMorgan formulas; lower bounds; random restrictions; shrinkage
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