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  • 标题:Randomness on Computable Probability Spaces - A Dynamical Point of View
  • 本地全文:下载
  • 作者:Peter Gacs ; Mathieu Hoyrup ; Cristobal Rojas
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2009
  • 卷号:3
  • 页码:469-480
  • DOI:10.4230/LIPIcs.STACS.2009.1828
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We extend the notion of randomness (in the version introduced by Schnorr) to computable Probability Spaces and compare it to a \emph{dynamical} notion of randomness: typicality. Roughly, a point is \emph{typical} for some dynamic, if it follows the statistical behavior of the system (Birkhoff's pointwise ergodic theorem). We prove that a point is Schnorr random if and only if it is typical for every \emph{mixing} computable dynamics. To prove the result we develop some tools for the theory of computable probability spaces (for example, morphisms) that are expected to have other applications.
  • 关键词:Schnorr randomness; Birkhoff's ergodic theorem; Computable measures
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