Title :
A note on universal distributions for polynomial-time computable distributions
Author_Institution :
Ulm Univ., Germany
Abstract :
Polynomial-time computable as well as polynomial-time samplable distributions play a central role in the theory of average-case complexity. It is known that for every constant k there are polynomial-time samplable distributions which dominate every distribution that is samplable in time O(nk). The result is based on the fact that there exists an enumeration of the O(nk)-time samplable distributions. No such enumeration is known for the polynomial-time computable distributions. In this note we show that never the less for every constant k there are polynomial-time computable distributions which dominate every distribution that is computable in time O(nk). Both results imply that a paddable set is polynomial-time on average under every polynomial-time samplable (polynomial-time computable) distribution if the set is polynomial time on average under a fixed polynomial-time samplable (polynomial-time computable) distribution. This is not true for sets in general, in particular there is no universal distribution for the set of polynomial-time computable distributions
Keywords :
computational complexity; polynomials; average-case complexity; polynomial-time computable distributions; polynomial-time samplable distributions; universal distributions; Distributed computing; NP-complete problem; Polynomials; Sampling methods; Turing machines;
Conference_Titel :
Computational Complexity, 1997. Proceedings., Twelfth Annual IEEE Conference on (Formerly: Structure in Complexity Theory Conference)
Conference_Location :
Ulm
Print_ISBN :
0-8186-7907-7
DOI :
10.1109/CCC.1997.612302