ISCAS OpenIR
The typical Turing degree
Barmpalias, George; Day, Adam R.; Lewis-Pye, Andy E. M.
2014
SourcePROCEEDINGS OF THE LONDON MATHEMATICAL SOCIETY
ISSN0024-6115
Volume109Pages:1-39
English AbstractThe Turing degree of a real measures the computational difficulty of producing its binary expansion. Since Turing degrees are tailsets, it follows from Kolmogorov's 0-1 law that, for any property which may or may not be satisfied by any given Turing degree, the satisfying class will either be of Lebesgue measure 0 or 1, so long as it is measurable. So either the typical degree satisfies the property, or else the typical degree satisfies its negation. Further, there is then some level of randomness sufficient to ensure typicality in this regard. We describe and prove a large number of results in a new programme of research which aims to establish the (order theoretically) definable properties of the typical Turing degree, and the level of randomness required in order to guarantee typicality. A similar analysis can be made in terms of Baire category, where a standard form of genericity now plays the role that randomness plays in the context of measure. This case has been fairly extensively examined in the previous literature. We analyse how our new results for the measure-theoretic case contrast with existing results for Baire category, and also provide some new results for the category-theoretic analysis.; The Turing degree of a real measures the computational difficulty of producing its binary expansion. Since Turing degrees are tailsets, it follows from Kolmogorov's 0-1 law that, for any property which may or may not be satisfied by any given Turing degree, the satisfying class will either be of Lebesgue measure 0 or 1, so long as it is measurable. So either the typical degree satisfies the property, or else the typical degree satisfies its negation. Further, there is then some level of randomness sufficient to ensure typicality in this regard. We describe and prove a large number of results in a new programme of research which aims to establish the (order theoretically) definable properties of the typical Turing degree, and the level of randomness required in order to guarantee typicality. A similar analysis can be made in terms of Baire category, where a standard form of genericity now plays the role that randomness plays in the context of measure. This case has been fairly extensively examined in the previous literature. We analyse how our new results for the measure-theoretic case contrast with existing results for Baire category, and also provide some new results for the category-theoretic analysis.
Indexed TypeSCI
Department[Barmpalias, George] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China. [Day, Adam R.] Univ Calif Berkeley, Dept Math, Berkeley, CA 94720 USA. [Lewis-Pye, Andy E. M.] Univ London London Sch Econ & Polit Sci, Dept Math, London WC2A 2AE, England.
Language英语
WOS IDWOS:000339951600001
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16848
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Barmpalias, George,Day, Adam R.,Lewis-Pye, Andy E. M.. The typical Turing degree[J]. PROCEEDINGS OF THE LONDON MATHEMATICAL SOCIETY,2014,109:1-39.
APA Barmpalias, George,Day, Adam R.,&Lewis-Pye, Andy E. M..(2014).The typical Turing degree.PROCEEDINGS OF THE LONDON MATHEMATICAL SOCIETY,109,1-39.
MLA Barmpalias, George,et al."The typical Turing degree".PROCEEDINGS OF THE LONDON MATHEMATICAL SOCIETY 109(2014):1-39.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Barmpalias, George]'s Articles
[Day, Adam R.]'s Articles
[Lewis-Pye, Andy E. M.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Barmpalias, George]'s Articles
[Day, Adam R.]'s Articles
[Lewis-Pye, Andy E. M.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Barmpalias, George]'s Articles
[Day, Adam R.]'s Articles
[Lewis-Pye, Andy E. M.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.