Randomness vs. time: de-randomization under a uniform assumption
Randomness vs. time: de-randomization under a uniform assumption
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随机性与时间:统一假设下的去随机化
DOI:
10.1109/sfcs.1998.743524
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发表时间:
1998
期刊:
影响因子:
--
通讯作者:
A. Wigderson
中科院分区:
文献类型:
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作者:
R. Impagliazzo;A. Wigderson
We prove that if BPP/spl ne/EXP, then every problem in BPP can be solved deterministically in subexponential time on almost every input (on every samplable ensemble for infinitely many input sizes). This is the first derandomization result for BPP based on uniform, noncryptographic hardness assumptions. It implies the following gap in the average-instance complexities of problems in BPP: either these complexities are always sub-exponential or they contain arbitrarily large exponential functions. We use a construction of a small "pseudorandom" set of strings from a "hard function" in EXP which is identical to that used in the analogous non-uniform results described previously. However, previous proofs of correctness assume the "hard function" is not in P/poly. They give a non-constructive argument that a circuit distinguishing the pseudo-random strings from truly random strings implies that a similarly-sized circuit exists computing the "hard function". Our main technical contribution is to show that, if the "hard function" has certain properties, then this argument can be made constructive. We then show that, assuming ESP/spl sube/P/poly, there are EXP-complete functions with these properties.