Derandomizing from random strings
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| Publication date | 2010 |
| Book title | 25th Annual IEEE Conference on Computational Complexity |
| Book subtitle | proceedings : CCC 2010 : 9-11 June, 2010, Cambridge, Massachusetts, USA |
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| Event | 25th Annual IEEE Conference on Computational Complexity (CCC 2010), Cambridge, MA, USA |
| Pages (from-to) | 58-63 |
| Publisher | Los Alamitos, Calif.: IEEE Computer Society |
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| Abstract |
In this paper we show that BPP is truth-table reducible to the set of Kolmogorov random strings R(K). It was previously known that PSPACE, and hence BPP is Turing-reducible to R(K). The earlier proof relied on the adaptivity of the Turing-reduction to find a Kolmogorov-random string of polynomial length using the set R(K) as oracle. Our new non-adaptive result relies on a new fundamental fact about the set R(K), namely each initial segment of the characteristic sequence of R(K) has high Kolmogorov complexity. As a partial converse to our claim we show that strings of very high Kolmogorov-complexity when used as advice are not much more useful than randomly chosen strings.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1109/CCC.2010.15 |
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