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  • 标题:PCP Characterizations of NP: Towards a Polynomially-Small Error-Probability
  • 本地全文:下载
  • 作者:Irit Dinur ; Eldar Fischer ; Guy Kindler
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:1998
  • 卷号:1998
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:This paper strengthens the low-error PCP characterization of NP, coming closer to the ultimate BGLR conjecture. Namely, we prove that witnesses for membership in any NP language can be verified with a constant number of accesses, and with an error probability exponentially small in the number of bits accessed, as long as this number is at most (logn) for {\em any} constant 1 . (Compare with the BGLR conjecture, claiming the same for any 1 ). Our results are in fact stronger, implying that the constant-depend Gap-Quadratic-Solvability problem with field-size 2logn is NP-hard. We show that given a system of quadratic polynomials each depending on a constant number of variables ranging over a field \fld (\card\fld2logn for any constant 1 ), it is NP-hard to decide between the case where there is a common root for all of the polynomials, and the case where every assignment zeros at most an O(1\card\fld) fraction. At the same time, our proof presents a {\em direct} construction of a low-degree-test whose error-probability is exponentially small in the number of bits accessed. Such a result was previously known only by relying on recursive applications of the PCP theorem.
  • 关键词:Approximation, NP, PCP
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