Kolmogorov complexity and the Recursion Theorem

Author:

Kjos-Hanssen Bjørn,Merkle Wolfgang,Stephan Frank

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.

Publisher

American Mathematical Society (AMS)

Subject

Applied Mathematics,General Mathematics

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