In search of an easy witness: exponential time vs. probabilistic polynomial time

摘要

Restricting the search space {0,1}" to the set of truth tables of "easy" Boolean functions on log n variables, as well as using some known hardness-randomness tradeoffs, we establish a number of results relating the complexity of exponential-time and probabilistic polynomial-time complexity classes. In particular, we show that NEXP is contained in P/poly<=>NEXP = MA; this can be interpreted as saying that no derandomization of MA (and, hence, of promise-BPP) is possible unless NEXP contains a hard Boolean function. We also prove several downward closure results for ZPP, RP, BPP, and MA; e.g., we show EXP = BPP<=>EE = BPE, where EE is the double-exponential time class and BPE is the exponential-time analogue of BPP.