DocumentCode :
2834256
Title :
On the Power of Randomized Reductions and the Checkability of SAT
Author :
Mahmoody, Mohammad ; Xiao, David
Author_Institution :
Comput. Sci. Dept., Princeton Univ., Princeton, NJ, USA
fYear :
2010
fDate :
9-12 June 2010
Firstpage :
64
Lastpage :
75
Abstract :
We prove new results regarding the complexity of various complexity classes under randomized oracle reductions. We first prove that BPPPSZK ⊆ AM ∩ coAM, where PSZK is the class of promise problems having statistical zero knowledge proofs. This strengthens the previously known facts that PSZK is closed under NC1 truth-table reductions (Sahai and Vadhan, J. ACM ´03) and that PPSZK ⊆ AM ∩ coAM (Vadhan, personal communication). Our proof relies on showing that a certain class of real-valued functions that we call ℝ-TUAM can be approximated using an AM protocol. Then we investigate the power of randomized oracle reductions with relation to the notion of instance checking (Blum and Kannan, J. ACM ´95). We observe that a theorem of Beigel implies that if any problem in TFNP such as Nash equilibrium is NP-hard under randomized oracle reductions, then SAT is checkable. We also observe that Beigel´s theorem can be extended to an average-case setting by relating checking to the notion of program testing (Blum et al., JCSS ´93). From this, we derive that if one-way functions can be based on NP-hardness via a randomized oracle reduction, then SAT is checkable. By showing that NP has a non-uniform tester, we also show that worst-case to average-case randomized oracle reduction for any relation (or language) R E NP implies that R has a nonuniform instance checker. These results hold even for adaptive randomized oracle reductions.
Keywords :
computability; computational complexity; randomised algorithms; NP hardness; SAT checkability; complexity classes; randomized oracle reductions; randomized reduction power; real valued functions; truth table reductions; zero knowledge proofs; Computational complexity; Computer science; Nash equilibrium; Protocols; Testing; USA Councils; Colusure; Complexity; Instance Checkers; Randomization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Complexity (CCC), 2010 IEEE 25th Annual Conference on
Conference_Location :
Cambridge, MA
ISSN :
1093-0159
Print_ISBN :
978-1-4244-7214-7
Electronic_ISBN :
1093-0159
Type :
conf
DOI :
10.1109/CCC.2010.16
Filename :
5497898
Link To Document :
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