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1 Institut für Informatik 2 Department of Mathematics 3 Division of Mathematical Sciences, School of Physical and Mathematical Sciences, College of Science

Abstract : Schnorr famously proved that Martin-Löf-randomness of a sequence A can be characterised via the complexity of A-s initial segments. Nies, Stephan and Terwijn as well as independently Miller showed that Kolmogorov randomness coincides with Martin-Löf randomness relative to the halting problem K; that is, a set A is Martin-Löf random relative to K iff there is no function f such that for all m and all n > fm it holds that CA0A1

.An ≤ n − m. In the present work it is shown that characterisations of this style can also be given for other randomness criteria like strongly random, Kurtz random relative to K, PA-incomplete Martin-Löf random and strongly Kurtz random; here one does not just quantify over all functions f but over functions f of a specific form. For example, A is Martin-Löf random and PA-incomplete iff there is no A-recursive function f such that for all m and all n > fm it holds that CA0A1

.An ≤ n − m. The characterisation for strong randomness relates to functions which are the concatenation of an A-recursive function executed after a K-recursive function; this solves an open problem of Nies. In addition to this, characterisations of a similar style are also given for Demuth randomness and Schnorr randomness relative to K. Although the unrelativised versions of Kurtz randomness and Schnorr randomness do not admit such a characterisation in terms of plain Kolmogorov complexity, Bienvenu and Merkle gave one in terms of Kolmogorov complexity defined by computable machines.

Autor: Rupert Hölzl - Thorsten Kräling - Frank Stephan - Guohua Wu -



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