• DocumentCode
    3217971
  • Title

    Power from random strings

  • Author

    Allender, Eric ; Buhrman, Harry ; Koucky, Michal ; Van Melkebeek, Dieter ; Ronneburger, Detlef

  • fYear
    2002
  • fDate
    2002
  • Firstpage
    669
  • Lastpage
    678
  • Abstract
    We show that sets consisting of strings of high Kolmogorov complexity provide examples of sets that are complete for several complexity classes under probabilistic and non-uniform reductions. These sets are provably not complete under the usual many-one reductions. Let RK, RKt, RKS, RKT be the sets of strings x having complexity at least |x|/2, according to the usual Kolmogorov complexity measure K, Levin´s time-bounded Kolmogorov complexity Kt [27], a space-bounded Kolmogorov measure KS, and the time-bounded Kolmogorov complexity measure KT that was introduced in [4], respectively. Our main results are: 1. RKS and RKt are complete for PSPACE and EXP, respectively, under P/poly-truth-table reductions. 2. EXP = NPR(Kt). 3. PSPACE = ZPPR(KS) ⊆ PR(K). 4. The Discrete Log, Factoring, and several lattice problems are solvable in BPPR(KT).
  • Keywords
    computational complexity; set theory; EXP; PSPACE; complexity classes; high Kolmogorov complexity; nonuniform reductions; probabilistic reductions; space-bounded Kolmogorov measure; time-bounded Kolmogorov complexity measure; Artificial intelligence; Circuits; Engineering profession; Lattices; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 2002. Proceedings. The 43rd Annual IEEE Symposium on
  • ISSN
    0272-5428
  • Print_ISBN
    0-7695-1822-2
  • Type

    conf

  • DOI
    10.1109/SFCS.2002.1181992
  • Filename
    1181992