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A relationship between difference hierarchies and relativized polynomial hierarchies
Authors:Richard Beigel  Richard Chang  Mitsunori Ogiwara
Affiliation:(1) Department of Computer Science, Yale University, Yale Station, P.O. Box 2158, 06520-2158 New Haven, CT, USA;(2) Department of Computer Science, Upson Hall, Cornell University, 14853 Ithaca, NY, USA;(3) Department of Computer Science, University of Electro-Communications, Chofu-si, 182 Tokyo, Japan
Abstract:Chang and Kadin have shown that if the difference hierarchy over NP collapses to levelk, then the polynomial hierarchy (PH) is equal to thekth level of the difference hierarchy over Sgr 2 p . We simplify their poof and obtain a slightly stronger conclusion: if the difference hierarchy over NP collapses to levelk, then PH collapses to (P (k–1) NP )NP, the class of sets recognized in polynomial time withk – 1 nonadaptive queries to a set in NPNP and an unlimited number of queries to a set in NP. We also extend the result to classes other than NP: For any classC that has le m p -complete sets and is closed under le conj p -and le m NP -reductions (alternatively, closed under le disj p -and le m co-NP -reductions), if the difference hierarchy overC collapses to levelk, then PH C = (P (k–1)–tt NP ) C . Then we show that the exact counting class C_P is closed under le disj p - and le m co-NP -reductions. Consequently, if the difference hierarchy over C_P collapses to levelk, then PHPP(= PHC_P) is equal to (P (k–1)–tt NP )PP. In contrast, the difference hierarchy over the closely related class PP is known to collapse.Finally we consider two ways of relativizing the bounded query class P k–tt NP : the restricted relativization P k–tt NP C and the full relativization (P k–tt NP ) C . IfC is NP-hard, then we show that the two relativizations are different unless PH C collapses.Richard Beigel was supported in part by NSF Grants CCR-8808949 and CCR-8958528. Richard Chang was supported in part by NSF Research Grant CCR 88-23053. This work was done while Mitsunori Ogiwara was at the Department of Information Science, Tokyo Institute of Technology, Tokyo, Japan.
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