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Conditional Measure and the Violation of Van Lambalgen’s Theorem for Martin-Löf Randomness
Conditional Measure and the Violation of Van Lambalgen’s Theorem for Martin-Löf Randomness
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Conditional Measure and the Violation of Van Lambalgen’s Theorem for Martin-Löf Randomness
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Conditional Measure and the Violation of Van Lambalgen’s Theorem for Martin-Löf Randomness
Conditional Measure and the Violation of Van Lambalgen’s Theorem for Martin-Löf Randomness

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Conditional Measure and the Violation of Van Lambalgen’s Theorem for Martin-Löf Randomness
Conditional Measure and the Violation of Van Lambalgen’s Theorem for Martin-Löf Randomness
Journal Article

Conditional Measure and the Violation of Van Lambalgen’s Theorem for Martin-Löf Randomness

2017
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Overview
Van Lambalgen’s theorem states that a pair ( α , β ) of bit sequences is Martin-Löf random if and only if α is Martin-Löf random and β is Martin-Löf random relative to α . In [Information and Computation 209.2 (2011): 183-197, Theorem 3.3], Hayato Takahashi generalized van Lambalgen’s theorem for computable measures P on a product of two Cantor spaces; he showed that the equivalence holds for each β for which the conditional probability P (⋅| β ) is computable. He asked whether this computability condition is necessary. We give a positive answer by providing a computable measure for which van Lambalgen’s theorem fails. We also present a simple construction of a computable measure for which conditional measure is not computable. Such measures were first constructed by Ackerman et al. ([ 1 ]).