• DocumentCode
    2112917
  • Title

    On coherence, random-self-reducibility, and self-correction

  • Author

    Feigenbaum, Joan ; Fortnow, Lance ; Laplante, Sophie ; Naik, Ashish

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • fYear
    1996
  • fDate
    24-27 May 1996
  • Firstpage
    59
  • Lastpage
    67
  • Abstract
    We address two questions about self-reducibility-the power of adaptiveness in examiners that take advice and the relationship between random-self-reducibility and self-correctability. We first show that adaptive examiners are more powerful than nonadaptive examiners, even if the nonadaptive ones are nonuniform. Blum et al. (1993) showed that every random-self-reducible function is self-correctable. However, whether self-correctability implies random-self-reducibility is unknown. We show that, under a reasonable complexity hypothesis, there exists a self-correctable function that is not random-self-reducible. For P-sampleable distributions, however, we show that constructing a self-correctable function that is not random-self-reducible is as hard as proving that P≠PP
  • Keywords
    Turing machines; computational complexity; Turing machine; adaptive examiners; coherence; complexity; oracle; polynomial-time; self-correction; self-reducibility; Computer science; Cryptography; Polynomials; Testing; Turing machines; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 1996. Proceedings., Eleventh Annual IEEE Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-8186-7386-9
  • Type

    conf

  • DOI
    10.1109/CCC.1996.507668
  • Filename
    507668