On the construction of parallel computers from various bases of Boolean functions
Theoretical Computer Science
NP is as easy as detecting unique solutions
Theoretical Computer Science
Recursively enumerable sets and degrees
Recursively enumerable sets and degrees
SIAM Journal on Computing
The Boolean hierarchy II: applications
SIAM Journal on Computing
Complexity classes defined by counting quantifiers
Journal of the ACM (JACM)
A uniform approach to define complexity classes
Theoretical Computer Science
Turing machines with few accepting computations and low sets for PP
Journal of Computer and System Sciences
Gap-definable counting classes
Journal of Computer and System Sciences
Threshold Computation and Cryptographic Security
SIAM Journal on Computing
Complexity theory retrospective II
On the Complexity of Flowchart and Loop Program Schemes and Programming Languages
Journal of the ACM (JACM)
A second step towards complexity-theoretic analogs of Rice's theorem
Theoretical Computer Science
A moment of perfect clarity I: the parallel census technique
ACM SIGACT News
The complexity theory companion
The complexity theory companion
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
Two remarks on the power of counting
Proceedings of the 6th GI-Conference on Theoretical Computer Science
Some connections between nonuniform and uniform complexity classes
STOC '80 Proceedings of the twelfth annual ACM symposium on Theory of computing
Rice-Style Theorems for Complexity Theory
Rice-Style Theorems for Complexity Theory
On some central problems in computational complexity.
On some central problems in computational complexity.
On the (im)possibility of obfuscating programs
Journal of the ACM (JACM)
Hi-index | 5.23 |
Rice's Theorem states that all nontrivial language properties of recursively enumerable sets are undecidable. Borchert and Stephan (Math. Logic Quart. 46 (4) (2000) 489-504) started the search for complexity-theoretic analogs of Rice's Theorem, and proved that every nontrivial counting property of boolean circuits is UP-hard. Hemaspaandra and Rothe (Theoret. Comput. Sci. 244 (1-2) (2000) 205-217) improved the UP-hardness lower bound to UPO(1)-hardness. The present paper raises the lower bound for nontrivial counting properties from UPO(1)-hardness to FewP-hardness, i.e., from constant-ambiguity nondeterminism to polynomial-ambiguity nondeterminism. Furthermore, we prove that no relativizable technique can raise this lower bound to FewP-≤1-ttp -hardness. We also prove a Rice-style theorem for NP, namely that every nontrivial language property of NP sets is NP-hard, and for a broad class of leaf-language classes we prove a sufficient condition for the natural analog of Rice's Theorem to hold.