 Turing degree

"Post's problem" redirects here. For the other "Post's problem", see Post's correspondence problem.
In computer science and mathematical logic the Turing degree or degree of unsolvability of a set of natural numbers measures the level of algorithmic unsolvability of the set. The concept of Turing degree is fundamental in computability theory, where sets of natural numbers are often regarded as decision problems; the Turing degree of a set tells how difficult it is to solve the decision problem associated with the set.
Two sets are Turing equivalent if they have the same level of unsolvability; each Turing degree is a collection of Turing equivalent sets, so that two sets are in different Turing degrees exactly when they are not Turing equivalent. Furthermore, the Turing degrees are partially ordered so that if the Turing degree of a set X is less than the Turing degree of a set Y then any (noncomputable) procedure that correctly decides whether numbers are in Y can be effectively converted to a procedure that correctly decides whether numbers are in X. It is in this sense that the Turing degree of a set corresponds to its level of algorithmic unsolvability.
The Turing degrees were introduced by Emil Leon Post (1944), and many fundamental results were established by Stephen Cole Kleene and Post (1954). The Turing degrees have been an area of intense research since then. Many proofs in the area make use of a proof technique known as the priority method.
Contents
Turing equivalence
Main article: Turing reductionFor the rest of this article, the word set will refer to a set of natural numbers. A set X is said to be Turing reducible to a set Y if there is an oracle Turing machine that decides membership in X when given an oracle for membership in Y. The notation X ≤_{T} Y indicates that X is Turing reducible to Y.
Two sets X and Y are defined to be Turing equivalent if X is Turing reducible to Y and Y is Turing reducible to X. The notation X ≡_{T} Y indicates that X and Y are Turing equivalent. The relation ≡_{T} can be seen to be an equivalence relation, which means that for all sets X, Y, and Z:
 X ≡_{T} X
 X ≡_{T} Y implies Y ≡_{T} X
 If X ≡_{T} Y and Y ≡_{T} Z then X ≡_{T} Z.
Turing degree
A Turing degree is an equivalence class of the relation ≡_{T}. The notation [X] denotes the equivalence class containing a set X. The entire collection of Turing degrees is denoted .
The Turing degrees have a partial order ≤ defined so that [X] ≤ [Y] if and only if X ≤_{T} Y. There is a unique Turing degree containing all the computable sets, and this degree is less than every other degree. It is denoted 0 (zero) because it is the least element of the poset . (It is common to use boldface notation for Turing degrees, in order to distinguish them from sets. When no confusion can occur, such as with [X], the boldface is not necessary.)
For any sets X and Y, X join Y, written X ⊕ Y, is defined to be the union of the sets {2n : n ∈ X} and {2m+1 : m ∈ Y}. The Turing degree of X ⊕ Y is the least upper bound of the degrees of X and Y. Thus is a joinsemilattice. The least upper bound of degrees a and b is denoted a ∪ b. It is known that is not a lattice, as there are pairs of degrees with no greatest lower bound.
For any set X the notation X′ denotes the set of indices of oracle machines that halt when using X as an oracle. The set X′ is called the Turing jump of X. The Turing jump of a degree [X] is defined to be the degree [X′]; this is a valid definition because X′ ≡_{T} Y′ whenever X ≡_{T} Y. A key example is 0′, the degree of the halting problem.
Basic properties of the Turing degrees
 Every Turing degree is countably infinite, that is, it contains exactly sets.
 There are distinct Turing degrees.
 For each degree a the strict inequality a < a′ holds.
 For each degree a, the set of degrees below a is at most countable. The set of degrees greater than a has size .
Structure of the Turing degrees
A great deal of research has been conducted into the structure of the Turing degrees. The following survey lists only some of the many known results. One general conclusion that can be drawn from the research is that the structure of the Turing degrees is extremely complicated.
Order properties
 There are minimal degrees. A degree a is minimal if a is nonzero and there is no degree between 0 and a. Thus the order relation on the degrees is not a dense order.
 For every nonzero degree a there is a degree b incomparable with a.
 There is a set of pairwise incomparable Turing degrees.
 There are pairs of degrees with no greatest lower bound. Thus is not a lattice.
 Every countable partially ordered set can be embedded in the Turing degrees.
 No infinite, strictly increasing sequence of degrees has a least upper bound.
Properties involving the jump
 For every degree a there is a degree strictly between a and a′. In fact, there is a countable sequence of pairwise incomparable degrees between a and a′.
 A degree a is of the form b′ if and only if 0′ ≤ a.
 For any degree a there is a degree b such that a < b and b′ = a′; such a degree b is called low relative to a.
 There is an infinite sequence a_{i} of degrees such that a′_{i+1} ≤ a_{i} for each i.
Logical properties
 Simpson (1977) showed that the firstorder theory of in the language 〈 ≤, = 〉 or 〈 ≤, ′, =〉 is manyone equivalent to the theory of true secondorder arithmetic. This indicates that the structure of is extremely complicated.
 Shore and Slaman (1999) showed that the jump operator is definable in the firstorder structure of the degrees with the language 〈 ≤, =〉.
Structure of the r.e. Turing degrees
A degree is called r.e. (recursively enumerable) if it contains a recursively enumerable set. Every r.e. degree is less than or equal to 0′ but not every degree less than 0′ is an r.e. degree.
 (G. E. Sacks, 1964) The r.e degrees are dense; between any two r.e. degrees there is a third r.e degree.
 (A. H. Lachlan, 1966a and C. E. M. Yates, 1966) There are two r.e. degrees with no greatest lower bound in the r.e. degrees.
 (A. H. Lachlan, 1966a and C. E. M. Yates, 1966) There is a pair of nonzero r.e. degrees whose greatest lower bound is 0.
 (S. K. Thomason, 1971) Every finite distributive lattice can be embedded into the r.e. degrees. In fact, the countable atomless Boolean algebra can be embedded in a manner that preserves suprema and infima.
 (A. H. Lachlan and R. I. Soare, 1980) Not all finite lattices can be embedded in the r.e. degrees (via an embedding that preserves suprema and infima). The following particular lattice cannot be embedded in the r.e. degrees:
 (A. H. Lachlan, 1966b) There is no pair of r.e. degrees whose greatest lower bound is 0 and whose least upper bound is 0′. This result is informally called the nondiamond theorem.
 (L. A. Harrington and T. A. Slaman, see Nies, Shore, and Slaman (1998)) The firstorder theory of the r.e. degrees in the language 〈 0, ≤, = 〉 is manyone equivalent to the theory of true first order arithmetic.
Post's problem and the priority method
Emil Post studied the r.e. Turing degrees and asked whether there is any r.e. degree strictly between 0 and 0′. The problem of constructing such a degree (or showing that none exist) became known as Post's problem. This problem was solved independently by Friedberg and Muchnik in the 1950s, who showed that these intermediate r.e. degrees do exist. Their proofs each developed the same new method for constructing r.e degrees which came to be known as the priority method. The priority method is now the main technique for establishing results about r.e. sets.
The idea of the priority method for constructing an r.e. set X is to list a countable sequence of requirements that X must satisfy. For example, to construct an r.e. set X between 0 and 0′ it is enough to satisfy the requirements A_{e} and B_{e} for each natural number e, where A_{e} requires that the oracle machine with index e does not compute 0′ from X and B_{e} requires that the Turing machine with index e (and no oracle) does not compute X. These requirements are put into a priority ordering, which is an explicit bijection of the requirements and the natural numbers. The proof proceeds inductively with one stage for each natural number; these stages can be thought of as steps of time during which the set X is enumerated. At each stage, numbers may put into X or forever prevented from entering X in an attempt to satisfy requirements (that is, force them to hold once all of X has been enumerated). Sometimes, a number can be enumerated into X to satisfy one requirement but doing this would cause a previously satisfied requirement to become unsatisfied (that is, to be injured). The priority order on requirements is used to determine which requirement to satisfy in this case. The informal idea is that if a requirement is injured then it will eventually stop being injured after all higher priority requirements have stopped being injured, although not every priority argument has this property. An argument must be made that the overall set X is r.e. and satisfies all the requirements. Priority arguments can be used to prove many facts about r.e. sets; the requirements used and the manner in which they are satisfied must be carefully chosen to produce the required result.
References
Monographs (undergraduate level)
 Cooper, S.B. Computability theory. Chapman & Hall/CRC, Boca Raton, FL, 2004. ISBN 1584882379
 Cutland, N. Computability. Cambridge University Press, CambridgeNew York, 1980. ISBN 0521223849; ISBN 0521294657
Monographs and survey articles (graduate level)
 AmbosSpies, K. and Fejer, P. Degrees of Unsolvability. Unpublished. http://www.cs.umb.edu/~fejer/articles/History_of_Degrees.pdf
 Lerman, M. Degrees of unsolvability. Perspectives in Mathematical Logic. SpringerVerlag, Berlin, 1983. ISBN 3540121552
 Odifreddi, P. G. (1989), Classical Recursion Theory, Studies in Logic and the Foundations of Mathematics, 125, Amsterdam: NorthHolland, ISBN 9780444872951, MR982269
 Odifreddi, P. G. (1999), Classical recursion theory. Vol. II, Studies in Logic and the Foundations of Mathematics, 143, Amsterdam: NorthHolland, ISBN 9780444502056, MR1718169
 Rogers, H. The Theory of Recursive Functions and Effective Computability, MIT Press. ISBN 0262680521; ISBN 0070535221
 Simpson, S. Degrees of unsolvability: a survey of results. Handbook of Mathematical Logic, NorthHolland, 1977, pp. 631652.
 Shore, R. The theories of the T, tt, and wtt r.e. degrees: undecidability and beyond. Proceedings of the IX Latin American Symposium on Mathematical Logic, Part 1 (Bahía Blanca, 1992), 6170, Notas Lógica Mat., 38, Univ. Nac. del Sur, Bahía Blanca, 1993.
 Soare, R. Recursively enumerable sets and degrees. Perspectives in Mathematical Logic. SpringerVerlag, Berlin, 1987. ISBN 3540152997
 Soare, Robert I. Recursively enumerable sets and degrees. Bull. Amer. Math. Soc. 84 (1978), no. 6, 11491181.
Research papers
 Kleene, Stephen Cole; Post, Emil L. (1954), "The upper semilattice of degrees of recursive unsolvability", Annals of Mathematics. Second Series 59 (3): 379–407, doi:10.2307/1969708, ISSN 0003486X, JSTOR 1969708, MR0061078
 Lachlan, A.H. (1966a), "Lower Bounds for Pairs of Recursively Enumerable Degrees", Proceedings of the London Mathematical Society 3 (1): 537.
 Lachlan, A.H. (1966b), "The impossibility of finding relative complements for recursively enumerable degrees", J. Symb. Logic 31 (3): 434–454, doi:10.2307/2270459, JSTOR 2270459.
 Lachlan, A.H.; Soare, R.I. (1980), "Not every finite lattice is embeddable in the recursively enumerable degrees", Advances in Math 37: 78–82, doi:10.1016/00018708(80)900274.
 Nies, André; Shore, Richard A.; Slaman, Theodore A. (1998), "Interpretability and definability in the recursively enumerable degrees", Proc. London Math. Soc. (3) 77 (2): 241–291, doi:10.1112/S002461159800046X, ISSN 00246115, MR1635141
 Post, Emil L. (1944), "Recursively enumerable sets of positive integers and their decision problems", Bulletin of the American Mathematical Society 50 (5): 284–316, doi:10.1090/S000299041944081111, ISSN 00029904, MR0010514
 Sacks, G.E. (1964), "The recursively enumerable degrees are dense", Ann. Of Math.(2) 80 (2): 300–312, doi:10.2307/1970393, JSTOR 1970393.
 Shore, Richard A.; Slaman, Theodore A. (1999), "Defining the Turing jump", Mathematical Research Letters 6: 711–722, ISSN 10732780, MR1739227
 Simpson, Stephen G. (1977), "Firstorder theory of the degrees of recursive unsolvability", Annals of Mathematics. Second Series 105 (1): 121–139, doi:10.2307/1971028, ISSN 0003486X, JSTOR 1971028, MR0432435
 Thomason, S.K. (1971), "Sublattices of the recursively enumerable degrees", Z. Math. Logik Grundlagen Math 17: 273–280, doi:10.1002/malq.19710170131.
 Yates, C.E.M. (1966), "A minimal pair of recursively enumerable degrees", J. Symbolic Logic 31 (2): 159–168, doi:10.2307/2269807, JSTOR 2269807.
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