In a world of P=BPP

We show that proving results such as BPP = P essentially necessitate the construction of suitable pseudorandom generators (i.e., generators that suffice for such derandomization results). In particular, the main incarnation of this equivalence refers to the standard notion of uniform derandomization and to the corresponding pseudorandom generators (i.e., the standard uniform notion of "canonical derandomizers"). This equivalence bypasses the question of which hardness assumptions are required for establishing such derandomization results, which has received considerable attention in the last decade or so (starting with Impagliazzo and Wigderson [JCSS, 2001]). We also identify a natural class of search problems that can be solved by deterministic polynomial-time reductions to BPP. This result is instrumental to the construction of the aforementioned pseudorandom generators (based on the assumption BPP = P), which is actually a reduction of the "construction problem" to BPP. Caveat: Throughout the text, we abuse standard notation by letting BPP, P etc denote classes of promise problems. We are aware of the possibility that this choice may annoy some readers, but believe that promise problem actually provide the most adequate formulation of natural decisional problems.