Computer Science – Information Theory
Scientific paper
2007-09-06
Computer Science
Information Theory
29 pages
Scientific paper
In this paper we investigate algorithmic randomness on more general spaces than the Cantor space, namely computable metric spaces. To do this, we first develop a unified framework allowing computations with probability measures. We show that any computable metric space with a computable probability measure is isomorphic to the Cantor space in a computable and measure-theoretic sense. We show that any computable metric space admits a universal uniform randomness test (without further assumption).
Hoyrup Mathieu
Rojas Cristobal
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