2009
DOI: 10.1007/s00224-008-9163-5
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Non-Uniform Reductions

Abstract: We study properties of non-uniform reductions and related completeness notions. We strengthen several results of Hitchcock and Pavan (ICALP (1), Lecture Notes in Computer Science, vol. 4051, pp. 465-476, Springer, 2006) and give a tradeoff between the amount of advice needed for a reduction and its honesty on NEXP. We construct an oracle relative to which this trade-off is optimal. We show, in a more systematic study of non-uniform reductions, among other things that non-uniformity can be removed at the cost … Show more

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Cited by 9 publications
(8 citation statements)
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“…The answer to this question is yes for EXP [7], so in this case a negative answer for NP would imply NP = EXP. We believe that it may be possible to show the 2-tt-complete sets are nonuniformly 2-tt-autoreducible under the Measure Hypothesis -first show they are nonuniformly 2-tt-honest complete as an extension of [9,6].…”
Section: Discussionmentioning
confidence: 99%
“…The answer to this question is yes for EXP [7], so in this case a negative answer for NP would imply NP = EXP. We believe that it may be possible to show the 2-tt-complete sets are nonuniformly 2-tt-autoreducible under the Measure Hypothesis -first show they are nonuniformly 2-tt-honest complete as an extension of [9,6].…”
Section: Discussionmentioning
confidence: 99%
“…The µ p (NP ∩ coNP) = 0 hypothesis is admittedly strong. However, we note that strong hypotheses on NP ∩ coNP have been used in some prior investigations [29,18,13].…”
Section: Separating Uniform Completeness From Nonuniform Completenessmentioning
confidence: 97%
“…This result has been known for larger classes like EXP and NEXP without using any advice. They also proved a separation between uniform and nonuniform reductions in EXP by showing that there exists a language that is complete in EXP under many-one reductions that use one bit of advice, but is not 2-tt-complete [13]. They also proved that a nonuniform reduction can be turned into a uniform one by increasing the number of queries.…”
Section: :2mentioning
confidence: 99%
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