• DocumentCode
    2240725
  • Title

    On the computational power of PP and ⊕P

  • Author

    Toda, Seinosuke

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Math., Univ. of Electro-Commun., Tokyo, Japan
  • fYear
    1989
  • fDate
    30 Oct-1 Nov 1989
  • Firstpage
    514
  • Lastpage
    519
  • Abstract
    Two complexity classes, PP and ⊕P, are compared with PH (the polynomial-time hierarchy). The main results are as follows: (1) every set in PH is reducible in a certain sense to a set in PP, an (2) every set in PH is reducible to a set in ⊕P under randomized polynomial-time reducibility with two-sided bounded error probability. It follows from these results that neither PP nor ⊕P is a subset of or equivalent to PH unless PH collapses to a finite level. This is strong evidence that both classes are strictly harder than PH
  • Keywords
    automata theory; computational complexity; equivalence classes; ⊕P; PH; PP; complexity classes; polynomial-time hierarchy; probabilistic Turing machine; randomized polynomial-time reducibility; two-sided bounded error probability; Computational complexity; Computer science; Error probability; Mathematics; Out of order; Polynomials; Turing machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1989., 30th Annual Symposium on
  • Conference_Location
    Research Triangle Park, NC
  • Print_ISBN
    0-8186-1982-1
  • Type

    conf

  • DOI
    10.1109/SFCS.1989.63527
  • Filename
    63527