2012
DOI: 10.1007/978-3-642-30642-6_25
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Space-Bounded Kolmogorov Extractors

Abstract: An extractor is a function that receives some randomness and either "improves" it or produces "new" randomness. There are statistical and algorithmical specifications of this notion. We study an algorithmical one called Kolmogorov extractors and modify it to resourcebounded version of Kolmogorov complexity. Following Zimand we prove the existence of such objects with certain parameters. The utilized technique is "naive" derandomization: we replace random constructions employed by Zimand by pseudo-random ones o… Show more

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Cited by 4 publications
(1 citation statement)
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“…The lower bounds, i.e., Theorem 2.7 (hence Theorem 1.4) and Theorem 1.2 (1), are proved in Section 4. In Section 5, we observe that our technique can be used to improve Muchnik's Theorem [11] (see also the works of Musatov, Romashchenko and Shen [15,13,14]), and a result concerning distinguishing complexity of Buhrman, Fortnow, and Laplante [4].…”
Section: Introductionmentioning
confidence: 99%
“…The lower bounds, i.e., Theorem 2.7 (hence Theorem 1.4) and Theorem 1.2 (1), are proved in Section 4. In Section 5, we observe that our technique can be used to improve Muchnik's Theorem [11] (see also the works of Musatov, Romashchenko and Shen [15,13,14]), and a result concerning distinguishing complexity of Buhrman, Fortnow, and Laplante [4].…”
Section: Introductionmentioning
confidence: 99%