Using the No-Search Easy-Hard Technique for Downward Collapse
Edith Hemaspaandra, Lane A. Hemaspaandra, Harald Hempel
Abstract
The top part of the preceding figure [figure appears in actual paper] shows some classes from the (truth-table) bounded-query and boolean hierarchies. It is well-known that if either of these hierarchies collapses at a given level, then all higher levels of that hierarchy collapse to that same level. This is a standard ``upward translation of equality'' that has been known for over a decade. The issue of whether these hierarchies can translate equality downwards\/ has proven vastly more challenging. In particular, with regard to the figure above, consider the following claim: Pm-ttΣkp = Pm+1-ttΣkp DIFFm(Σkp) coDIFFm(Σkp) = BH(Σkp). (*) This claim, if true, says that equality translates downwards between levels of the bounded-query hierarchy and the boolean hierarchy levels that (before the fact) are immediately below them. Until recently, it was not known whether (*) ever\/ held, except for the degenerate cases m=0 and k=0. Then Hemaspaandra, Hemaspaandra, and Hempel hem-hem-hem:j:downward-translation proved that (*) holds for all m, for k > 2. Buhrman and Fortnow~buh-for:j:two-queries then showed that, when k=2, (*) holds for the case m = 1. In this paper, we prove that for the case k=2, (*) holds for all values of m. Since there is an oracle relative to which ``for k=1, (*) holds for all m'' fails buh-for:j:two-queries, our achievement of the k=2 case cannot to be strengthened to k=1 by any relativizable proof technique. The new downward translation we obtain also tightens the collapse in the polynomial hierarchy implied by a collapse in the bounded-query hierarchy of the second level of the polynomial hierarchy.
Create a lesson
Related papers
Marton's conjecture in polynomial time
Srinivasan Arunachalam, Arkopal Dutt, Sabee Grewal et al.
Efficient Randomized Communication Without Large Monochromatic Rectangles
Haoyu Wang, Pei Wu
On the Turing Completeness of Transformers and Agents
Yimu Qiao, Lijia Yu, Ruichen Qiu et al.
Dense Pinwheel Packing Is Strongly NP-Complete
Yusuke Kobayashi, Bingkai Lin, Joseph Swernofsky
A Separation Between Distribution-Free SQ Learning and Dimension Complexity
Shyamal Patel
Almost Optimal FPT Inapproximability for k-SetCover
Venkatesan Guruswami, Xuandi Ren