Abstract
Given a problem \(P\), one associates to \(P\) a degree of unsolvability, i.e., a quantity which measures the amount of algorithmic unsolvability which is inherent in \(P\). We focus on two degree structures: the semilattice of Turing degrees, \(\mathcal {D}_\mathrm {T}\), and its completion, \(\mathcal {D}_\mathrm {w}=\widehat{\mathcal {D}_\mathrm {T}}\), the lattice of Muchnik degrees. We emphasize specific, natural degrees and their relationship to reverse mathematics. We show how Muchnik degrees can be used to classify tiling problems and symbolic dynamical systems of finite type. We describe how the category of sheaves over \(\mathcal {D}_\mathrm {w}\) forms a model of intuitionistic mathematics, known as the Muchnik topos. This model is a rigorous implementation of Kolmogorov’s nonrigorous 1932 interpretation of intuitionism as a “calculus of problems”.
MSC2010: Primary 03D28; Secondary 03D80, 03D32, 03D35, 03D55, 03F55, 03G30, 18F20, 37B10.
S.G. Simpson—This paper is a preview of a three-hour tutorial to be given at CiE in Bucharest, June 29 to July 3, 2015. The author’s research is supported by the Eberly College of Science and by Simons Foundation Collaboration Grant 276282.
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Notes
- 1.
By unsolvable we mean algorithmically unsolvable, i.e., not solvable by a Turing program.
- 2.
We are not offering a rigorous definition of what is meant by “specific and natural.” However, it is well known that considerations of specificity and naturalness play an important role in mathematics. Without such considerations, it would be difficult or impossible to pursue the ideal of “exquisite taste” in mathematical research, as famously enunciated by von Neumann.
- 3.
In this paper we take reals to be points in the Baire space \(\mathbb {N}^\mathbb {N}\), i.e., functions \(X:\mathbb {N}\rightarrow \mathbb {N}\) where \(\mathbb {N}=\{0,1,2,\ldots \}=\) the natural numbers.
- 4.
More specifically, each of the mentioned problems amounts to the question of deciding whether or not a given string of symbols from a fixed finite alphabet belongs to a particular set of such strings. The problem is then identified with the characteristic function of the set of Gödel numbers of the strings which belong to the set.
- 5.
A.k.a., computably enumerable [73].
- 6.
The Sacks Splitting Theorem says that \(\mathcal {E}_\mathrm {T}\) satisfies \(\forall x\,(x>0\Rightarrow \exists u\,\exists v\,(u<x\) and \(v<x\) and \(\sup (u,v)=x))\).
- 7.
The Sacks Density Theorem says that \(\mathcal {E}_\mathrm {T}\) satisfies \(\forall x\,\forall y\,(x<y\Rightarrow \exists z\,(x<z<y))\).
- 8.
When speaking of decidable theories, we identify a theory with the characteristic function \(X\in \{0,1\}^\mathbb {N}\) of the set of Gödel numbers of theorems of the theory.
- 9.
This concept is from Medvedev [39]. As in footnote 3 a real is a function \(X\in \mathbb {N}^\mathbb {N}\).
- 10.
This is Muchnik’s notion of weak reducibility [41, Definition 2].
- 11.
For a more precise statement, see [5, Theorem 5.8].
- 12.
- 13.
Here \(E_1\simeq E_2\) means that \(E_1\) and \(E_2\) are both undefined or both defined and equal.
- 14.
Let \(\varphi _n\), \(n\in \mathbb {N}\) be a fixed, standard, partial recursive enumeration of the partial recursive functions. A function \(Z\in \mathbb {N}^\mathbb {N}\) is said to be diagonally nonrecursive [3, 23, 26, 32, 65] if \(Z\cap \psi =\emptyset \) where \(\psi \) is the well known diagonal function, defined by \(\psi (n)\simeq \varphi _n(n)\). Letting \(\mathrm {DNR}=\{Z\in \mathbb {N}^\mathbb {N}\mid Z\) is diagonally nonrecursive\(\}\) and \(\mathrm {DNR}_\mathrm {REC}=\{Z\in \mathrm {DNR}\mid Z\) is recursively bounded\(\}\), we have \(\mathbf {d}=\deg _\mathrm {w}(\mathrm {DNR})\) and \(\mathbf {d}_\mathrm {REC}=\deg _\mathrm {w}(\mathrm {DNR}_\mathrm {REC})\).
- 15.
For example, \(f(n)\) could be \(n/2\) or \(n/3\) or \(\sqrt{n}\) or \(\root 3 \of {n}\) or \(\log _2n\) or \(\log _3n\) or \(\log _2\log _2n\), etc., or \(f\) could be the inverse Ackermann function.
- 16.
The inhabitants of this menagerie are downwardly closed sets of Turing degrees, but the complements of such sets are essentially the same thing as Muchnik degrees.
- 17.
See also the English translation in [5, Appendix].
- 18.
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Simpson, S.G. (2015). Degrees of Unsolvability: A Tutorial. In: Beckmann, A., Mitrana, V., Soskova, M. (eds) Evolving Computability. CiE 2015. Lecture Notes in Computer Science(), vol 9136. Springer, Cham. https://doi.org/10.1007/978-3-319-20028-6_9
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