Myhill isomorphism theorem

In computability theory the Myhill isomorphism theorem, named after John Myhill, provides a characterization for two numberings to induce the same notion of computability on a set. It is reminiscent of the Schröder-Bernstein theorem in set theory and has been called a constructive version of it.[1]

Theorem

A many-one reduction from a set to a set is a total computable function such that . A one-one reduction is an injective reduction, and a computable isomorphism is a bijective reduction.

Myhill's isomorphism theorem: Two sets are computably isomorphic if and only if A is one-one-reducible to B and B is one-one-reducible to A.

As a corollary, two total numberings are one-equivalent if and only if they are recursively isomorphic.

Myhill-Shepherdson Theorem

The Myhill-Shepherdson Theorem,[2] stemming from the Rice-Shapiro Theorem, defines the computable type 2 functionals. These functionals operate on computable partial functions, yielding numbers as results in cases of termination. Notably, they adhere to a specific effectiveness criterion and exhibit continuity as functionals.

Considering the notion of the Myhill isomorphism, which states there exists a total computable bijection, which maps elements reducible to each other in both directions, given the functions are extensional, this one specifies the definition for recursive functionals.

Specifically, it states:

1) Let be a recursive function. Then, there exists a total computable function such that

2) Let be a total computable function and extensional. Then, there is a unique recursive functional such that

Proof outline

Let be two sets and assume that there are injective, total computable functions such that for all , and . We want to construct total computable and bijective such that for all , .

Picture showing a sequence of elements, alternatively blue and green. There is an arrow from the first to the second element labeled "f", then from second to third labeled "g", then again "f", and so on.
A one-sided chain starting in the first copy of ℕ
Similar to the previous picture, except that the colors are inversed as well as "f" and "g"
A one-sided chain starting in the second copy of ℕ
Picture of a sequence of elements extending infinitely in both directions. The elements are alternatively blue and green, and the arrows from one to the next are alternatively labeled "f" and "g".
A two-sided chain
A cycle of elements, with an ellipsis showing there can be arbitrarily many. Elements are alternatively blue and green, and the arrows from one to the next are alternatively labeled "f" and "g".
A cycle

As in most proofs of the Schröder-Bernstein theorem, we use an analysis of the "chains" formed by successive applications of and . Informally, we think of two "copies" of between which we want to construct a bijection, and we consider an integer in the first copy, which is sent by to an integer in the second copy, which is in turn sent by to an integer in the first copy, etc. (These copies are blue and green in the pictures opposite.) Because and are injective, these chains do not "overlap" (there cannot be a merge between two chains). Depending on what happens when starting from some element and walking back on the chain, there are three possible types of chains:

  • One-sided chains, where this eventually stops on an element which has no preimage by or .
  • Two-sided chains, where this continues indefinitely without looping back.
  • Cycles, where this ultimately yields an element already seen.

To construct a bijection in the context of the Schröder-Bernstein theorem, it suffices to pair the elements along each chain: on a one-sided chain, use or depending on the color of the first element, and on a two-sided chain or cycle, either one can be used. For Myhill's theorem, this does not work since the constructed bijection need not be computable.

Instead, we build the bijection by successively pairing elements. At each stage, we take the next unpaired element from the blue copy of and pair it with some unpaired element of the green copy, then we do the same with the next unpaired element from the green copy. This ensures that every element of both copies is paired at some point.

Suppose we want to pair some blue element (the case of a green element is symmetric). The idea is to apply to get the next green element on the chain, and if this element is unpaired, use it to pair with our blue element. If it is paired, then apply then to advance to the next green element in the chain, and repeat until an un paired green element is found.

To compute this bijection effectively, an algorithm can compute the pairs until its input is paired, and return the other element of the pair.

See also

References

  1. ^ P. Odifreddi, Classical Recursion Theory: The theory of functions and sets of natural numbers (p.320). Studies in Logic and the Foundations of Mathematics, vol. 125 (1989), Elsevier 0-444-87295-7.
  2. ^ Dekker, J. C. E. (September 1957). "J. Myhill and J. C. Shepherdson. Effective operations on partial recursive functions. Zeitschrift für mathematische Logik und Grundlagen der Mathetnatik, vol. 1 (1955), pp. 310–317". The Journal of Symbolic Logic. 22 (3): 310–317. doi:10.2307/2963619. ISSN 0022-4812. JSTOR 2963619. S2CID 124280881.
  • Myhill, John (1955), "Creative sets", Zeitschrift für Mathematische Logik und Grundlagen der Mathematik, 1 (2): 97–108, doi:10.1002/malq.19550010205, MR 0071379.
  • Rogers, Hartley Jr. (1987), Theory of recursive functions and effective computability (2nd ed.), Cambridge, MA: MIT Press, ISBN 0-262-68052-1, MR 0886890.
  • Soare, Robert I. (1987), Recursively enumerable sets and degrees : a study of computable functions and computably generated sets, Perspectives in Mathematical Logic, Berlin Heidelberg : Springer-Verlag, ISBN 978-3-540-66681-3, MR 0882921