This note consists of an abstract and references for a two-hour tutorial given February 22-23, 2008 at a workshop in Matsushima, Japan.
Informally, mass problems are similar to decision problems. The difference is that, while a decision problem has only one solution, a mass problem is allowed to have more than one solution. Many concepts which apply to decision problems apply equally well to mass problems. For instance, a mass problem is said to be solvable if it has at least one computable solution. Also, one mass problem is said to be reducible to another mass problem if, given a solution of the second problem, we can use it to find a solution of the first problem.
Many unsolvable mathematical problems are most naturally viewed as mass problems rather than decision problems. For example, let be the problem of finding a completion of Peano Arithmetic. A well-known theorem going back to Gödel and Tarski says that is unsolvable, in the sense that there are no computable completions of Peano Arithmetic. Note that, in describing as a ``problem'' whose ``solutions'' are the completions of Peano Arithmetic, we are implicitly viewing as a mass problem rather than a decision problem. This is because Peano Arithmetic has many different completions, with many different Turing degrees. There is no single Turing degree which can be said to measure the amount of unsolvability which is inherent in .
Formally, a mass problem is defined to be an arbitrary set of Turing oracles, i.e., an arbitrary subset of the Baire space, . Let and be mass problems. We say that is solvable if has at least one recursive element. We say that is Muchnik reducible to if for all there exists such that is Turing reducible to . A Muchnik degree is an equivalence class of mass problems under mutual Muchnik reducibility. The Muchnik degrees are partially ordered in the obvious way, by Muchnik reducibility. Under this partial ordering, it is straightforward to show that the Muchnik degrees form a complete distributive lattice. There is an obvious, natural embedding of the upper semilattice of Turing degrees into the lattice of Muchnik degrees, obtained by mapping the Turing degree of to the Muchnik degree of the singleton set .
The lattice of Muchnik degrees was first introduced by Albert Muchnik (of Friedberg/Muchnik fame) in 1963. Subsequently Muchnik degrees have been used to classify unsolvable problems which arise in various areas of mathematics including symbolic dynamics, algorithmic randomness, and model theory.
Let be the lattice of all Muchnik degrees. Let be the sublattice of consisting of the Muchnik degrees of mass problems associated with nonempty subsets of the Cantor space, . Recent research beginning in 1999 has revealed that is mathematically rich and contains many specific, natural Muchnik degrees corresponding to specific, natural mass problems which are of great interest. For example, the top degree in is the Muchnik degree of , the set of completions of Peano Arithmetic. Other specific, natural Muchnik degrees in are closely related to various foundationally interesting topics such as algorithmic randomness, reverse mathematics, hyperarithmeticity, diagonal nonrecursiveness, almost everywhere domination, subrecursive hierarchies, resource-bounded computational complexity, effective Hausdorff dimension, and Kolmogorov complexity.
The purpose of this tutorial is to introduce and to survey some recent discoveries regarding specific, natural Muchnik degrees in .
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Nikos Drakos,
Computer Based Learning Unit, University of Leeds.
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Ross Moore,
Mathematics Department, Macquarie University, Sydney.
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The translation was initiated by Stephen G Simpson on 2008-02-28