Structural complexity of AvgBPP

  • Dmitry Itsykson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We study the class AvgBPP that consists of distributional problems which can be solved in average polynomial time (in terms of Levin's average-case complexity) by randomized algorithms with bounded error. We prove that there exists a distributional problem that is complete for AvgBPP under polynomial-time samplable distributions. Since we use deterministic reductions, the existence of a deterministic algorithm with average polynomial running time for our problem would imply AvgP = AvgBPP. Note that, while it is easy to construct a promise problem that is complete for [Mil01], it is unknown whether BPP contains complete languages. We also prove a time hierarchy theorem for AvgBPP (there are no known time hierarchy theorems for BPP). We compare average-case classes with their classical (worst-case) counterparts and show that the inclusions are proper.

Original languageEnglish
Title of host publicationComputer Science - Theory and Applications - 4th International Computer Science Symposium in Russia, CSR 2009, Proceedings
Pages155-166
Number of pages12
DOIs
StatePublished - 29 Oct 2009
Externally publishedYes
Event4th International Computer Science Symposium in Russia, CSR 2009 - Novosibirsk, Russian Federation
Duration: 18 Aug 200923 Aug 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5675 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Computer Science Symposium in Russia, CSR 2009
Country/TerritoryRussian Federation
CityNovosibirsk
Period18/08/0923/08/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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