Randomness on Computable Probability Spaces—A Dynamical Point of View

Abstract : We extend the notion of randomness (in the version introduced by Schnorr) to computable probability spaces and compare it to a dynamical notion of randomness: typicality. Roughly, a point is 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 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.
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Theory of Computing Systems, Springer Verlag, 2011, 48 (3), pp.465--485. 〈http://www.springerlink.com/content/3q774874623m0nm6/〉. 〈10.1007/s00224-010-9263-x〉
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Peter Gacs, Mathieu Hoyrup, Cristobal Rojas. Randomness on Computable Probability Spaces—A Dynamical Point of View. Theory of Computing Systems, Springer Verlag, 2011, 48 (3), pp.465--485. 〈http://www.springerlink.com/content/3q774874623m0nm6/〉. 〈10.1007/s00224-010-9263-x〉. 〈inria-00531640〉

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