Algorithmic randomness, reverse mathematics, and the dominated convergence theorem

Jeremy Avigad; Edward Dean; Jason Rute

doi:10.1016/j.apal.2012.05.010

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arXiv · 1106.0775

Algorithmic randomness, reverse mathematics, and the dominated convergence theorem

Jeremy Avigad·Edward Dean·Jason Rute

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Abstract

We analyze the pointwise convergence of a sequence of computable elements of L^1(2^omega) in terms of algorithmic randomness. We consider two ways of expressing the dominated convergence theorem and show that, over the base theory RCA_0, each is equivalent to the assertion that every G_delta subset of Cantor space with positive measure has an element. This last statement is, in turn, equivalent to weak weak K\"onig's lemma relativized to the Turing jump of any set. It is also equivalent to the conjunction of the statement asserting the existence of a 2-random relative to any given set and the principle of Sigma_2 collection.

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BibTeX RIS

Jeremy Avigad, Edward Dean, Jason Rute. 2011-06-03. Algorithmic randomness, reverse mathematics, and the dominated convergence theorem. https://doi.org/10.1016/j.apal.2012.05.010

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