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arxiv: 0912.3162 · v1 · submitted 2009-12-16 · 💻 cs.CC

Derandomizing from Random Strings

classification 💻 cs.CC
keywords stringsrandomadaptivityadvicecharacteristicchosenclaimcompressible
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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 is not compressible by recursive means. As a partial converse to our claim we show that strings of high Kolmogorov-complexity when used as advice are not much more useful than randomly chosen strings.

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