Independence, Relative Randomness, and PA Degrees
Logic
2016-02-10 v1
Abstract
We study pairs of reals that are mutually Martin-L\"{o}f random with respect to a common, not necessarily computable probability measure. We show that a generalized version of van Lambalgen's Theorem holds for non-computable probability measures, too. We study, for a given real , the \emph{independence spectrum} of , the set of all so that there exists a probability measure so that and is -random. We prove that if is r.e., then no set is in the independence spectrum of . We obtain applications of this fact to PA degrees. In particular, we show that if is r.e.\ and is of PA degree so that , then .
Cite
@article{arxiv.1207.2533,
title = {Independence, Relative Randomness, and PA Degrees},
author = {Adam R. Day and Jan Reimann},
journal= {arXiv preprint arXiv:1207.2533},
year = {2016}
}