• DocumentCode
    1992431
  • Title

    Random strings make hard instances

  • Author

    Buhrman, Harry ; Orponen, Pekka

  • Author_Institution
    Dept. de Llenguatges i Sistemes Inf., Univ. Politecnica de Catalunya, Barcelona, Spain
  • fYear
    1994
  • fDate
    28 Jun- 1 Jul 1994
  • Firstpage
    217
  • Lastpage
    222
  • Abstract
    We establish the truth of the “instance complexity conjecture” in the case of DEXT-complete sets w.r.t. polynomial time computations, and r.e. complete sets w.r.t. recursive computations. Specifically, we obtain for every DEXT-complete set A an exponentially dense subset C such that for every nondecreasing polynomial t(n)=ω(n log n), ict(x:A)⩾Kt(x)-c holds for some constant c and all x∈C, where ict and Kt are the t-bounded instance complexity and Kolmogorov complexity measures, respectively. For r.e. complete sets A we obtain an infinite set C⊆A¯ such that ic(x:A)⩾K(x)-c holds for some constant c and all x∈C. The proofs are based on the observation that Kolmogorov random strings are individually hard to recognize by bounded computations
  • Keywords
    computational complexity; random number generation; DEXT-complete sets; Kolmogorov complexity measure; Kolmogorov random strings; bounded computations; bounded instance complexity; exponentially dense subset; instance complexity conjecture; nondecreasing polynomial; polynomial time computations; random strings; recursive computations; Computer science; Contracts; Polynomials; Postal services; Size measurement; Turing machines; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Structure in Complexity Theory Conference, 1994., Proceedings of the Ninth Annual
  • Conference_Location
    Amsterdam
  • Print_ISBN
    0-8186-5670-0
  • Type

    conf

  • DOI
    10.1109/SCT.1994.315802
  • Filename
    315802