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Explicit OR-dispersers with polylogarithmic degree

Authors: Saks, M.; Srinivasan, A.; Zhou, S.;

Explicit OR-dispersers with polylogarithmic degree

Abstract

An ( N, M, T )-OR-disperser is a bipartite multigraph G =( V, W, E ) with | V | = N , and | W | = M , having the following expansion property: any subset of V having at least T vertices has a neighbor set of size at least M /2. For any pair of constants ξ, λ, 1 ≥ ξ > λ ≥ 0, any sufficiently large N , and for any T ≥ 2 (log N ) M ≤ 2 (log N ) λ , we give an explicit elementary construction of an ( N, M, T )-OR-disperser such that the out-degree of any vertex in V is at most polylogarithmic in N . Using this with known applications of OR-dispersers yields several results. First, our construction implies that the complexity class Strong-RP defined by Sipser, equals RP. Second, for any fixed η > 0, we give the first polynomial-time simulation of RP algorithms using the output of any “η-minimally random” source. For any integral R > 0, such a source accepts a single request for an R -bit string and generates the string according to a distribution that assigns probability at most 2 −R η to any string. It is minimally random in the sense that any weaker source is insufficient to do a black-box polynomial-time simulation of RP algorithms.

Country
Singapore
Keywords

F.1.3 [Computaion by Abstract Devices]: Complexity Classes - relations among randomized complexity classes, G.2.1 [Discrete Mathematics]: Combinatorics - combinatorial algorithms, Complexity classes (hierarchies, relations among complexity classes, etc.), RP algorithms, G.3 [Probability and Statistics]: probabilistic algorithms, Algorithms, bipartite multigraph

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Top 10%
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