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  • 标题:Stronger Lower Bounds and Randomness-Hardness Tradeoffs using Associated Algebraic Complexity Classes
  • 本地全文:下载
  • 作者:Maurice Jansen ; Rahul Santhanam
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2011
  • 卷号:2011
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We associate to each Boolean language complexity class the algebraic class a consisting of families of polynomials fn for which the evaluation problem over the integers is in . We prove the following lower bound and randomness-to-hardness results:

    1. If polynomial identity testing (PIT) is in NSUBEXP then aNEXP does not have poly size constant-free arithmetic circuits.

    2. aNEXPRP does not have poly size constant-free arithmetic circuits.

    3. For every fixed k, aMA does not have arithmetic circuits of size nk.

    Items 1 and 2 strengthen two results due to Kabanets and Impagliazzo. The third item improves a lower bound due to Santhanam.

    We consider the special case low-PIT of identity testing for (constant-free) arithmetic circuits with low formal degree, and give improved hardness-to-randomness trade-offs that apply to this case.

    Combining our results for both directions of the hardness-randomness connection, we demonstrate a case where derandomization of PIT and proving lower bounds are equivalent. Namely, we show that low-PIT is infinitely often in NTIME[2no(1)]no(1) if and only if there exists a family of multilinear polynomials in aNElin that requires constant-free arithmetic circuits of super-polynomial size and formal degree

  • 关键词:Algebraic complexity classes; polynomial identity testing; Randomness-hardness tradeoffs
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