Measure Theoretic Completeness Notions for the Exponential Time Classes
MFCS '00 Proceedings of the 25th International Symposium on Mathematical Foundations of Computer Science
Bias Invariance of Small Upper Spans
STACS '00 Proceedings of the 17th Annual Symposium on Theoretical Aspects of Computer Science
When Worlds Collide: Derandomization, Lower Bounds, and Kolmogorov Complexity
FST TCS '01 Proceedings of the 21st Conference on Foundations of Software Technology and Theoretical Computer Science
STACS '00 Proceedings of the 17th Annual Symposium on Theoretical Aspects of Computer Science
Theoretical Computer Science
Upward separations and weaker hypotheses in resource-bounded measure
Theoretical Computer Science
A zero-one law for RP and derandomization of AM if NP is not small
Information and Computation
Randomness and completeness in computational complexity
Randomness and completeness in computational complexity
Journal of Computer and System Sciences
Exact Learning Algorithms, Betting Games, and Circuit Lower Bounds
ACM Transactions on Computation Theory (TOCT)
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We prove that if strong pseudorandom number generators exist, then the class of languages that have polynomial-sized circuits (P/poly) is not measurable within exponential time, in terms of the resource-bounded measure theory of Lutz. We prove our result by showing that if P/poly has measure zero in exponential time, then there is a natural proof against P/poly, in the terminology of Razborov and Rudich (1994). We also provide a partial converse of this result.