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Aug 20, 2010 at 3:43 comment added Andy Drucker That's a good point, and I hadn't thought about VV in quite those terms before (as talking about Promise-UP). Here by a randomized reduction to promise problem $\Pi$ we mean randomized reductions which work w.h.p. given any solver for $\Pi$; we can't insist that the solver only be fed instances obeying the promise $\Pi$, since in VV we expect some instances with non-unique solutions.
Aug 20, 2010 at 1:24 comment added Joshua Grochow Very interesting! I think the "technicality" of promise classes is very relevant, though. For example, Valiant-Vazirani shows that PromiseUP is NP-hard under randomized reductions, yet I doubt any such thing is true for UP. (Indeed, if VV can be derandomized and this were true, then we would have NP=UP. Of course, there aren't many known bad consequences of NP=UP, but it seems quite unlikely.)
Aug 19, 2010 at 21:23 history edited Andy Drucker CC BY-SA 2.5
fixed math typo
Aug 19, 2010 at 21:17 history answered Andy Drucker CC BY-SA 2.5