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Kolmogorov Complexity and the Recursion Theorem

Kolmogorov complexity and the recursion theorem
Authors: Bjørn Kjos-Hanssen; Wolfgang Merkle; Frank Stephan 0001;

Kolmogorov Complexity and the Recursion Theorem

Abstract

Several classes of diagonally nonrecursive (DNR) functions are characterized in terms of Kolmogorov complexity. In particular, a set of natural numbers A A can wtt-compute a DNR function iff there is a nontrivial recursive lower bound on the Kolmogorov complexity of the initial segments of A A . Furthermore, A A can Turing compute a DNR function iff there is a nontrivial A A -recursive lower bound on the Kolmogorov complexity of the initial segments of A A . A A is PA-complete, that is, A A can compute a { 0 , 1 } \{0,1\} -valued DNR function, iff A A can compute a function F F such that F ( n ) F(n) is a string of length n n and maximal C C -complexity among the strings of length n n . A ≥ T K A \geq _T K iff A A can compute a function F F such that F ( n ) F(n) is a string of length n n and maximal H H -complexity among the strings of length n n . Further characterizations for these classes are given. The existence of a DNR function in a Turing degree is equivalent to the failure of the Recursion Theorem for this degree; thus the provided results characterize those Turing degrees in terms of Kolmogorov complexity which no longer permit the usage of the Recursion Theorem.

Country
Singapore
Keywords

hyperavoidable sets, 330, PA-complete Turing degrees, Other Turing degree structures, Kolmogorov complexity, Turing degrees, hyperimmune sets, Mathematics - Logic, retraceable sets, 510, Algorithmic information theory (Kolmogorov complexity, etc.), autocomplex sets, immune sets, strongly diagonally nonrecursive sets, Algorithmic randomness and dimension, FOS: Mathematics, Logic (math.LO), 03D, complex sets, diagonally nonrecursive sets

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
59
Top 10%
Top 10%
Top 10%
Green
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