2012
DOI: 10.1007/978-3-642-32589-2_11
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Reductions to the Set of Random Strings: The Resource-Bounded Case

Abstract: Abstract. This paper is motivated by a conjecture [All12, ADF + 13] that BPP can be characterized in terms of polynomial-time nonadaptive reductions to the set of Kolmogorovrandom strings. In this paper we show that an approach laid out in [ADF + 13] to settle this conjecture cannot succeed without significant alteration, but that it does bear fruit if we consider time-bounded Kolmogorov complexity instead.We show that if a set A is reducible in polynomial time to the set of time-t-bounded Kolmogorov-random st… Show more

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Cited by 7 publications
(13 citation statements)
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“…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 [1].…”
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confidence: 85%
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“…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 [1].…”
mentioning
confidence: 85%
“…Kolmogorov complexity provides a mathematically precise definition of the set R of "random" strings. Actually, it provides at least two distinct but closely-related notions of randomness that we will need to discuss here, one defined in terms of the prefix Kolmogorov complexity function K, and one defined in terms of the plain Kolmogorov complexity function C. 1 This yields the two sets that lie at the center of this paper: R K = {x : K(x) ≥ |x|} and R C = {x : C(x) ≥ |x|}. When it is not important to distinguish between K and C we will simply refer to R.…”
Section: Introductionmentioning
confidence: 99%
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