Reduction (recursion theory)

In computability theory, many reducibility relations (also called reductions, reducibilities, and notions of reducibility) are studied. They are motivated by the question: given sets and of natural numbers, is it possible to effectively convert a method for deciding membership in into a method for deciding membership in ? If the answer to this question is affirmative then is said to be reducible to .

The study of reducibility notions is motivated by the study of decision problems. For many notions of reducibility, if any noncomputable set is reducible to a set then must also be noncomputable. This gives a powerful technique for proving that many sets are noncomputable.

Reducibility relations

A reducibility relation is a binary relation on sets of natural numbers that is

  • Reflexive: Every set is reducible to itself.
  • Transitive: If a set is reducible to a set and is reducible to a set then is reducible to .

These two properties imply that a reducibility is a preorder on the powerset of the natural numbers. Not all preorders are studied as reducibility notions, however. The notions studied in computability theory have the informal property that is reducible to if and only if any (possibly noneffective) decision procedure for can be effectively converted to a decision procedure for . The different reducibility relations vary in the methods they permit such a conversion process to use.

Degrees of a reducibility relation

Every reducibility relation (in fact, every preorder) induces an equivalence relation on the powerset of the natural numbers in which two sets are equivalent if and only if each one is reducible to the other. In recursion theory, these equivalence classes are called the degrees of the reducibility relation. For example, the Turing degrees are the equivalence classes of sets of naturals induced by Turing reducibility.

The degrees of any reducibility relation are partially ordered by the relation in the following manner. Let be a reducibility relation and let and be two of its degrees. Then if and only if there is a set in and a set in such that . This is equivalent to the property that for every set in and every set in , , because any two sets in C are equivalent and any two sets in are equivalent. It is common, as shown here, to use boldface notation to denote degrees.

Turing reducibility

The most fundamental reducibility notion is Turing reducibility. A set of natural numbers is Turing reducible to a set if and only if there is an oracle Turing machine that, when run with as its oracle set, will compute the indicator function (characteristic function) of . Equivalently, is Turing reducible to if and only if there is an algorithm for computing the indicator function for provided that the algorithm is provided with a means to correctly answer questions of the form "Is in ?".

Turing reducibility serves as a dividing line for other reducibility notions because, according to the Church-Turing thesis, it is the most general reducibility relation that is effective. Reducibility relations that imply Turing reducibility have come to be known as strong reducibilities, while those that are implied by Turing reducibility are weak reducibilities. Equivalently, a strong reducibility relation is one whose degrees form a finer equivalence relation than the Turing degrees, while a weak reducibility relation is one whose degrees form a coarser equivalence relation than Turing equivalence.

Reductions stronger than Turing reducibility

The strong reducibilities include

  • One-one reducibility: is one-one reducible to if there is a computable one-to-one function with for all .
  • Many-one reducibility: is many-one reducible to if there is a computable function with for all .
  • Truth-table reducible: is truth-table reducible to if is Turing reducible to via a single (oracle) Turing machine which produces a total function relative to every oracle.
  • Weak truth-table reducible: is weak truth-table reducible to if there is a Turing reduction from to and a recursive function which bounds the use. Whenever is truth-table reducible to , is also weak truth-table reducible to , since one can construct a recursive bound on the use by considering the maximum use over the tree of all oracles, which will exist if the reduction is total on all oracles.
  • Positive reducible: is positive reducible to if and only if is truth-table reducible to in a way that one can compute for every a formula consisting of atoms of the form such that these atoms are combined by and's and or's, where the and of and is 1 if and and so on.
  • Enumeration reducibility: Similar to positive reducibility, relating to the effective procedure of enumerability from to .
  • Disjunctive reducible: Similar to positive reducible with the additional constraint that only or's are permitted.
  • Conjunctive reducibility: Similar to positive reducibility with the additional constraint that only and's are permitted.
  • Linear reducibility: Similar to positive reducibility but with the constraint that all atoms of the form are combined by exclusive or's. In other words, is linear reducible to if and only if a computable function computes for each a finite set given as an explicit list of numbers such that if and only if contains an odd number of elements of .

Many of these were introduced by Post (1944). Post was searching for a non-recursive, recursively enumerable set which the halting problem could not be Turing reduced to. As he could not construct such a set in 1944, he instead worked on the analogous problems for the various reducibilities that he introduced. These reducibilities have since been the subject of much research, and many relationships between them are known.

Bounded reducibilities

A bounded form of each of the above strong reducibilities can be defined. The most famous of these is bounded truth-table reduction, but there are also bounded Turing, bounded weak truth-table and others. These first three are the most common ones and they are based on the number of queries. For example, a set is bounded truth-table reducible to if and only if the Turing machine computing relative to computes a list of up to numbers, queries on these numbers and then terminates for all possible oracle answers; the value is a constant independent of . The difference between bounded weak truth-table and bounded Turing reduction is that in the first case, the up to queries have to be made at the same time while in the second case, the queries can be made one after the other. For that reason, there are cases where is bounded Turing reducible to but not weak truth-table reducible to .

Strong reductions in computational complexity

The strong reductions listed above restrict the manner in which oracle information can be accessed by a decision procedure but do not otherwise limit the computational resources available. Thus if a set is decidable then is reducible to any set under any of the strong reducibility relations listed above, even if is not polynomial-time or exponential-time decidable. This is acceptable in the study of recursion theory, which is interested in theoretical computability, but it is not reasonable for computational complexity theory, which studies which sets can be decided under certain asymptotical resource bounds.

The most common reducibility in computational complexity theory is polynomial-time reducibility; a set A is polynomial-time reducible to a set if there is a polynomial-time function f such that for every , is in if and only if is in . This reducibility is, essentially, a resource-bounded version of many-one reducibility. Other resource-bounded reducibilities are used in other contexts of computational complexity theory where other resource bounds are of interest.

Reductions weaker than Turing reducibility

Although Turing reducibility is the most general reducibility that is effective, weaker reducibility relations are commonly studied. These reducibilities are related to relative definability of sets over arithmetic or set theory. They include:

  • Arithmetical reducibility: A set is arithmetical in a set if is definable over the standard model of Peano arithmetic with an extra predicate for . Equivalently, according to Post's theorem, A is arithmetical in if and only if is Turing reducible to , the th Turing jump of , for some natural number . The arithmetical hierarchy gives a finer classification of arithmetical reducibility.
  • Hyperarithmetical reducibility: A set is hyperarithmetical in a set if is definable (see analytical hierarchy) over the standard model of Peano arithmetic with a predicate for . Equivalently, is hyperarithmetical in if and only if is Turing reducible to , the th Turing jump of , for some -recursive ordinal .
  • Relative constructibility: A set is relatively constructible from a set if is in , the smallest transitive model of ZFC set theory containing and all the ordinals.

References

  • K. Ambos-Spies and P. Fejer, 2006. "Degrees of Unsolvability." Unpublished preprint.
  • P. Odifreddi, 1989. Classical Recursion Theory, North-Holland. ISBN 0-444-87295-7
  • P. Odifreddi, 1999. Classical Recursion Theory, Volume II, Elsevier. ISBN 0-444-50205-X
  • E. Post, 1944, "Recursively enumerable sets of positive integers and their decision problems", Bulletin of the American Mathematical Society, volume 50, pages 284316.
  • H. Rogers, Jr., 1967. The Theory of Recursive Functions and Effective Computability, second edition 1987, MIT Press. ISBN 0-262-68052-1 (paperback), ISBN 0-07-053522-1
  • G Sacks, 1990. Higher Recursion Theory, Springer-Verlag. ISBN 3-540-19305-7
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