Polynomial-Time Random Oracles and Separating Complexity Classes

Bennett and Gill (1981) showed that P 6= NP 6= coNP for a random oracle A, with probability 1. We investigate whether this result extends to individual polynomial-time random oracles. We consider two notions of random oracles: p-random oracles in the sense of martingales and resource-bounded measure (Lutz, 1992; Ambos-Spies et al., 1997), and p-betting-game random oracles using the betting games generalization of resource-bounded measure (Buhrman et al., 2000). Every p-betting-game random oracle is also p-random; whether the two notions are equivalent is an open problem. (1) We first show that P 6= NP for every oracle A that is p-betting-game random. Ideally, we would extend (1) to p-random oracles. We show that answering this either way would imply an unrelativized complexity class separation: (2) If P 6= NP relative to every p-random oracle A, then BPP 6= EXP. (3) If P = NP relative to some p-random oracle A, then P 6= PSPACE. Rossman, Servedio, and Tan (2015) showed that the polynomial-time hierarchy is infinite relative to a random oracle, solving a longstanding open problem. We consider whether we can extend (1) to show that PH is infinite relative to oracles A that are p-betting-game random. Showing that PH separates at even its first level would also imply an unrelativized complexity class separation: (4) If NP 6= coNP for a p-betting-game measure 1 class of oracles A, then NP 6= EXP. (5) If PH is infinite relative to every p-random oracle A, then PH 6= EXP.