DocumentCode :
3636247
Title :
Derandomizing from Random Strings
Author :
Harry Buhrman;Lance Fortnow;Michal Koucký;Bruno Loff
Author_Institution :
CWI, Univ. of Amsterdam, Amsterdam, Netherlands
fYear :
2010
Firstpage :
58
Lastpage :
63
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.
Keywords :
"Polynomials","Chromium","Computational complexity","Mathematics","Turing machines","Computational modeling"
Publisher :
ieee
Conference_Titel :
Computational Complexity (CCC), 2010 IEEE 25th Annual Conference on
ISSN :
1093-0159
Print_ISBN :
978-1-4244-7214-7
Type :
conf
DOI :
10.1109/CCC.2010.15
Filename :
5497897
Link To Document :
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