LOW-END UNIFORM HARDNESS VERSUS RANDOMNESS TRADEOFFS FOR AM
Impagliazzo and Wigderson [Proceedings of the 39th Annual IEEE Symposium on Foundations of Computer Science, IEEE Computer Society, Washington, DC, 1998, pp. 734-743] proved a hardness versus randomness tradeoff for BPP in the uniform setting, which was subsequently extended to give optimal tradeoffs for the full range of possible hardness assumptions (in slightly weaker settings). Gutfreund, Shaltiel, and Ta-Shma [Comput. Complexity, 12 (2003), pp. 85-130] proved a uniform hardness versus randomness tradeoff for AM, but that result worked only on the "high end" of possible hardness assumptions. In this work, we give uniform hardness versus randomness tradeoffs for AM that are near-optimal for the full range of possible hardness assumptions. Following Gutfreund, Shaltiel, and Ta-Shma, we do this by constructing a hitting-set-generator (HSG) for AM with "resilient reconstruction." Our construction is a recursive variant of the Miltersen-Vinodchandran HSG [Comput. Complexity, 14 (2005), pp. 256-279], the only known HSG construction with this required property. The main new idea is to have the reconstruction procedure operate implicitly and locally on superpolynomially large objects, using tools from PCPs (low-degree testing, self-correction) together with a novel use of extractors that are built from Reed-Muller codes for a sort of locally computable error-reduction. As a consequence we obtain gap theorems for AM (and AM boolean AND coAM) that state, roughly, that either AM (or AM boolean AND coAM) protocols running in time t(n) can simulate all of EXP ("Arthur-Merlin games are powerful") or else all of AM (or AM boolean AND coAM) can be simulated in nondeterministic time s(n) ("Arthur-Merlin games can be derandomized") for a near-optimal relationship between t(n) and s(n). As in Gutfreund, Shatiel, and Ta-Shma, the case of AM boolean AND coAM yields a particularly clean theorem that is of special interest due to the wide array of cryptographic and other problems that lie in this class.
hardness versus randomness hitting-set-generator arthur-merlin derandomization