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Published Articles >> Table of Contents >> Abstract
18th Annual IEEE Conference on Computational Complexity (CCC'03)
p. 209
Derandomization and Distinguishing Complexity
Eric Allender, Rutgers University
Michal Koucky, Rutgers University
Detlef Ronneburger, Rutgers University
Sambuddha Roy, Rutgers University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCC.2003.1214421
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| Abstract |
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We continue an investigation of resource-bounded Kolmogorov complexity and derandomization techniques begun in [2, 3]. We introduce nondeterministic time-bounded Kolmogorov complexity measures (KNt and KNT) and examine the properties of these measures using constructions of hitting set generators for nondeterministic circuits [22, 26]. We observe that KNt bears many similarities to the Nondeterministic distinguishing complexity CND of [8]. This motivates the definition of a new notion of time-bounded distinguishing complexity KDt, as an intermediate notion with connections to the class FewEXP. The set of KDtrandom strings is complete for EXP under P/poly reductions. Most of the notions of resource-bounded Kolmogorov complexity discussed here and in the earlier papers [2, 3] have close connections to circuit size (on different types of circuits). We extend this framework to define notions of Kolmogorov complexity KB and KF that are related to branching program size and formula size, respectively. The sets of KB- and KF-random strings lie in coNP; we show that oracle access to these sets enables one to factor Blum integers. We obtain related intractability results for approximating minimum formula size, branching program size, and circuit size. The NEXP \subseteq NC_{}^1 and NEXP \subseteq L/poly questions are shown to be equivalent to conditions about the KF and KB complexity of sets in P.
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Citation:
Eric Allender, Michal Koucky, Detlef Ronneburger, Sambuddha Roy,
"Derandomization and Distinguishing Complexity,"
complexity,
p. 209,
18th Annual IEEE Conference on Computational Complexity (CCC'03),
2003
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