• DocumentCode
    2116130
  • Title

    The law of the iterated logarithm for random sequences

  • Author

    Wang, Yongge

  • Author_Institution
    Math. Inst., Heidelberg Univ., Germany
  • fYear
    1996
  • fDate
    24-27 May 1996
  • Firstpage
    180
  • Lastpage
    189
  • Abstract
    The stochastic properties of p-random sequences are studied in this paper. It is shown that the law of the iterated logarithm holds for p-random sequences. This law gives a quantitative characterization of the density of p-random sets. When combined with the invariance property of p-random sequences, this law is also useful in proving that some complexity classes have p-measure 0
  • Keywords
    computational complexity; sequences; complexity classes; invariance property; iterated logarithm; quantitative characterization; random sequences; Chaos; Computational complexity; Entropy; Frequency; Logic; Mathematics; Particle measurements; Random sequences; Stochastic processes;
  • 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.1996.507680
  • Filename
    507680