Title :
Relative to a random oracle, NP is not small
Author :
Kautz, Steven M. ; Miltersen, Peter Bro
Author_Institution :
Dept. of Math., Randolph-Macon Woman´´s Coll., Lynchburg, VA, USA
fDate :
28 Jun- 1 Jul 1994
Abstract :
The resource-bounded measure (J. Lutz, 1992) is an extension of classical measure theory which provides a probabilistic means of describing the relative sizes of complexity classes. Lutz proposed the hypothesis that NP does not have measure zero in the class E2=DTIME(2polynomial), meaning loosely that NP contains a non-negligible subset of exponential time. This hypothesis implies a strong separation of P from NP and is supported by a growing body of plausible consequences which are not known to follow from the weaker assertion P≠NP. It is shown that relative to a random oracle, NP does not have measure zero in E2, improving the result of Bennett and Gill (1981) that P≠NP relative to a random oracle. Several new techniques are introduced; in particular the proof exploits the independence properties of algorithmically random sequences, and a strong independence result is shown: if A is an algorithmically random sequence and a subsequence A0 is chosen by means of a bounded Kolmogorov-Loveland place selection, then the sequence A1 of unselected bits is random relative to A0, i.e. A0 and A1 are independent. A bounded Kolmogorov-Loveland place selection is a very general type of recursive selection rule which may be interpreted as the sequence of oracle queries of a time-bounded Turing machine, so the methods used may be applicable to other questions involving random oracles
Keywords :
Turing machines; computational complexity; series (mathematics); stochastic automata; DTIME; NP size; P-NP separation; algorithmically random sequences; bounded Kolmogorov-Loveland place selection; complexity class relative sizes; exponential time; independence properties; measure theory; oracle queries; random oracle; recursive selection rule; resource-bounded measure; subsequence; time-bounded Turing machine; unselected bits; Computer science; Contracts; Educational institutions; Mathematics; Prediction algorithms; Random sequences; Time measurement; Turing machines;
Conference_Titel :
Structure in Complexity Theory Conference, 1994., Proceedings of the Ninth Annual
Conference_Location :
Amsterdam
Print_ISBN :
0-8186-5670-0
DOI :
10.1109/SCT.1994.315807