• DocumentCode
    3379588
  • Title

    Short PCPs verifiable in polylogarithmic time

  • Author

    Ben-Sasson, Eli ; Goldreich, Oded ; Harsha, Prahladh ; Sudan, Madhu ; Vadhan, Salil

  • Author_Institution
    Dept. of Comput. Sci., Technion, Haifa, Israel
  • fYear
    2005
  • fDate
    11-15 June 2005
  • Firstpage
    120
  • Lastpage
    134
  • Abstract
    We show that every language in NP has a probabilistically checkable proof of proximity (i.e., proofs asserting that an instance is "close" to a member of the language), where the verifier\´s running time is polylogarithmic in the input size and the length of the probabilistically checkable proof is only polylogarithmically larger that the length of the classical proof. (Such a verifier can only query polylogarithmically many bits of the input instance and the proof. Thus it needs oracle access to the input as well as the proof, and cannot guarantee that the input is in the language - only that it is close to some string in the language.) If the verifier is restricted further in its query complexity and only allowed q queries, then the proof size blows up by a factor of 2(log n)cq/ where the constant c depends only on the language (and is independent of q). Our results thus give efficient (in the sense of running time) versions of the shortest known PCPs, due to Ben-Sasson et al. (STOC \´04) and Ben-Sasson and Sudan (STOC \´05), respectively. The time complexity of the verifier and the size of the proof were the original emphases in the definition of holographic proofs, due to Babai et al. (STOC \´91), and our work is the first to return to these emphases since their work. Of technical interest in our proof is a new complete problem for NEXP based on constraint satisfaction problems with very low complexity constraints, and techniques to arithmetize such constraints over fields of small characteristic.
  • Keywords
    computational complexity; constraint theory; formal languages; probability; theorem proving; NEXP; NP problem; PCP; complexity constraint; constraint satisfaction problems; formal language; holographic proofs; oracle access; polylogarithmic time; probabilistically checkable proof; proximity proof; query complexity; time complexity; Artificial intelligence; Computational complexity; Computer science; Holography; Laboratories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 2005. Proceedings. Twentieth Annual IEEE Conference on
  • ISSN
    1093-0159
  • Print_ISBN
    0-7695-2364-1
  • Type

    conf

  • DOI
    10.1109/CCC.2005.27
  • Filename
    1443079