Languages that capture complexity classes
SIAM Journal on Computing
The complexity of iterated multiplication
Information and Computation
Approximation algorithms for NP-hard problems
Proof verification and hardness of approximation problems
SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
Probabilistic checking of proofs; a new characterization of NP
SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
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Fagin's theorem characterizes NP as the set of decision problems that are expressible as second-order existential sentences, i.e., in the form (/spl exist//spl Pi/)/spl phi/, where /spl Pi/ is a new predicate symbol, and /spl phi/ is first-order. In the presence of a successor relation, /spl phi/ may be assumed to be universal, i.e., /spl phi//spl equiv/(/spl forall/x~)/spl alpha/ where /spl alpha/ is quantifier-free. The PCP theorem characterizes NP as the set of problems that may be proved in a way that can be checked by probabilistic verifiers using O(log n) random bits and reading O(1) bits of the proof: NP=PCP[log n, 1]. Combining these theorems, we show that every problem D/spl isin/NP may be transformed in polynomial time to an algebraic version D/spl circ//spl isin/NP such that D/spl circ/ consists of the set of structures satisfying a second-order existential formula of the form (/spl exist//spl Pi/)(R/spl tilde/x~)/spl alpha/ where R/spl tilde/ is a majority quantifier-the dual of the R quantifier in the definition of RP-and /spl alpha/ is quantifier-free. This is a generalization of Fagin's theorem and is equivalent to the PCP theorem.