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Kolmogorov complexity, circuits, and the strength of formal theories of arithmetic
Journal article   Open access   Peer reviewed

Kolmogorov complexity, circuits, and the strength of formal theories of arithmetic

Eric Allender, George Davie, Luke Friedman, Samuel B. Hopkins and Iddo Tzameret
Chicago Journal of Theoretical Computer Science, Vol.2013
04/27/2013

Abstract

and phrases: Kolmogorov complexity complexity classes BPP P/poly
Can complexity classes be characterized in terms of efficient reducibility to the (undecidable) set of Kolmogorov-random strings? Although this might seem improbable, a series of papers has recently provided evidence that this may be the case. In particular, it is known that there is a class of problems C defined in terms of polynomial-time truth-table reducibility to R K (the set of Kolmogorov-random strings) that lies between BPP and PSPACE [5, 4]. The results in this paper were obtained, as part of an investigation of whether this upper bound can be improved, to show BPP ⊆ C ⊆ PSPACE ∩ P/poly. (*) In fact, we conjecture that C = BPP = P, and we close this paper with a discussion of the possibility this might be an avenue for trying to prove the equality of BPP and P. In this paper, we present a collection of true statements in the language of arithmetic, (each provable in ZF) and show that if these statements can be proved in certain extensions * of Peano arithmetic (PA), then (*) holds. Although it was subsequently proved that infinitely many of these statements are, in fact, independent of those extensions of PA [1], we present these results in the hope that related ideas may yet contribute to a proof of C = BPP, and because this work did serve as a springboard for subsequent work in the area.
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https://doi.org/10.4086/cjtcs.2013.005View
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