Computational complexity theory

Low (complexity)

In computational complexity theory, a language B (or a complexity class B) is said to be low for a complexity class A (with some reasonable relativized version of A) if AB = A; that is, A with an oracle for B is equal to A. Such a statement implies that an abstract machine which solves problems in A achieves no additional power if it is given the ability to solve problems in B at unit cost. In particular, this means that if B is low for A then B is contained in A. Informally, lowness means that problems in B are not only solvable by machines which can solve problems in A, but are “easy to solve”. An A machine can simulate many oracle queries to B without exceeding its resource bounds. Results and relationships that establish one class as low for another are often called lowness results. The set of languages low for a complexity class A is denoted Low(A). (Wikipedia).

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Related pages

Randomized algorithm | Toda's theorem | Complement (complexity) | Complexity class | Parity P | Oracle machine | Low (computability) | Formal language | Co-NP | PP (complexity) | ZPP (complexity) | NC (complexity) | L (complexity) | Polynomial hierarchy | NP (complexity) | Graph isomorphism problem | BQP | Abstract machine | Computational complexity theory | P (complexity) | PSPACE