The complexity of promise problems with applications to public-key cryptography
Information and Control
NP is as easy as detecting unique solutions
Theoretical Computer Science
Structural complexity 1
On polynomial-time bounded truth-table reducibility of NP sets to sparse sets
SIAM Journal on Computing
Computing functions with parallel queries to NP
Theoretical Computer Science
Information and Computation
Polynomial-time Membership Comparable Sets
SIAM Journal on Computing
Sparse sets versus complexity classes
Complexity theory retrospective II
On the Existence of Hard Sparse Sets under Weak Reductions
STACS '96 Proceedings of the 13th Annual Symposium on Theoretical Aspects of Computer Science
Six Hypotheses in Search of a Theorem
CCC '97 Proceedings of the 12th Annual IEEE Conference on Computational Complexity
COCO '98 Proceedings of the Thirteenth Annual IEEE Conference on Computational Complexity
The resolution of a Hartmanis conjecture
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Some connections between nonuniform and uniform complexity classes
STOC '80 Proceedings of the twelfth annual ACM symposium on Theory of computing
Reconstructing algebraic functions from mixed data
SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
On the complexity of data disjunctions
Theoretical Computer Science - Complexity and logic
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We show that if an NP-complete set or a coNP-complete set is polynomial-time disjunctive truth-table reducible to a sparse set then FP||NP = FPNP[log]. Similarly, we show that if SAT is O(log n)- approximable then FP||NP = FPNP[log]. Since FP||NP = FPNP[log] implies that SAT is O(log n)-approximable [BFT97], it follows from our result that these two hypotheses are equivalent. We also show that if an NP-complete set or a coNP-complete set is disjunctively reducible to a sparse set of polylogarithmic density then, in fact, P = NP.