Author:
CARL MERLIN,SCHLICHT PHILIPP
Abstract
AbstractWe study randomness beyond${\rm{\Pi }}_1^1$-randomness and its Martin-Löf type variant, which was introduced in [16] and further studied in [3]. Here we focus on a class strictly between${\rm{\Pi }}_1^1$and${\rm{\Sigma }}_2^1$that is given by the infinite time Turing machines (ITTMs) introduced by Hamkins and Kidder. The main results show that the randomness notions associated with this class have several desirable properties, which resemble those of classical random notions such as Martin-Löf randomness and randomness notions defined via effective descriptive set theory such as${\rm{\Pi }}_1^1$-randomness. For instance, mutual randoms do not share information and a version of van Lambalgen’s theorem holds.Towards these results, we prove the following analogue to a theorem of Sacks. If a real is infinite time Turing computable relative to all reals in some given set of reals with positive Lebesgue measure, then it is already infinite time Turing computable. As a technical tool towards this result, we prove facts of independent interest about random forcing over increasing unions of admissible sets, which allow efficient proofs of some classical results about hyperarithmetic sets.
Publisher
Cambridge University Press (CUP)
Reference30 articles.
1. Set Theory
2. [10] Chong C. T. and Yu L. , Randomness in the higher setting, this Journal, vol. 80 (2015), no. 4, pp. 1131–1148.
3. Post's and other problems of supertasks of higher type
4. Higher randomness and forcing with closed sets;Monin;Leibniz International Proceedings in Informatics,2014
5. On the Reals Which Cannot Be Random
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献