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Between my textbook and various online sources (namely wikipedia), I'm very confused... can somebody clear up which words are synonymous and which mean different things?

  • Many-to-one reduction
  • Mapping reduction
  • Turing reduction
  • Cook reduction
  • Karp reduction
  • Polynomial-time many-to-one reduction
  • Polynomial time turing reduction

I've also seen others, but I can't recall them currently.

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Have you read the definitions? What do they say? I am sure they use different words/formulae; why do you think they mean the same things? –  Raphael Feb 17 '13 at 8:54
    
@Raphael My textbook talks about mapping reductions. Wikipedia (in the articles I've looked at) uses many-to-one and mapping and Turing reductions... I don't know if they're different words used with the same meaning, or if they actually mean something different. –  agent154 Feb 18 '13 at 2:02
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If either source does not define the notions they use, ignore them. Stick to those that have definitions, which you can then compare. –  Raphael Feb 18 '13 at 8:49

1 Answer 1

up vote 3 down vote accepted

Let $A,B\subseteq \Sigma^*$ be languages.

Many-to-one: A (computable) function $f:\Sigma^*\to \Sigma^*$ such that $\forall x\in \Sigma^*$, $x\in A\iff f(x)\in B$. The names "Mapping reduction" and "Karp reductions", to my knowledge, refer to "Many to one". The "Many to one" means that $f$ may not be injective.

Turing reduction: we say that $A\le_T B$ if, given an oracle to the language $B$, we can use it to solve $A$. The word "solve" here should be in the context of a specific complexity/computability class.

Turing reductions are weaker than many-to-one reductions. The latter can be viewed as Turing reductions where we are only allowed to call the oracle once - at the very end of the run.

polynomial time many-to-one reductions - simply adding a constraint that the reduction $f$ is computable in polynomial time.

polynomial time Turing reduction (= Cook reduction) - add the constraint that the oracle machine runs in polynomial time, counting each oracle call as $O(1)$.

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