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Autori principali: Ovalle, Nicolás Cuervo, Goldbring, Isaac
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2506.06187
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author Ovalle, Nicolás Cuervo
Goldbring, Isaac
author_facet Ovalle, Nicolás Cuervo
Goldbring, Isaac
contents We initiate the effective metric structure theory of Keisler randomizations. We show that a classical countable structure $\mathcal{M}$ has a decidable presentation if and only if its Borel randomization $\mathcal{M}^{[0,1)}$ has a computable presentation for which the constant functions are uniformly computable points. We determine a sufficient condition for which the uniform computability of the constant functions can be dropped. We show that when $\mathcal{M}$ is effectively $ω$-categorical, then $\mathcal{M}^{[0,1)}$ is computably categorical, that is, has a unique computable presentation up to computable isomorphism. A special case of this result is that the unique separable atomless probability algebra is computably categorical. Finally, we show that all randomizations admit effective quantifier elimination.
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publishDate 2025
record_format arxiv
spellingShingle Computable presentations of randomizations
Ovalle, Nicolás Cuervo
Goldbring, Isaac
Logic
We initiate the effective metric structure theory of Keisler randomizations. We show that a classical countable structure $\mathcal{M}$ has a decidable presentation if and only if its Borel randomization $\mathcal{M}^{[0,1)}$ has a computable presentation for which the constant functions are uniformly computable points. We determine a sufficient condition for which the uniform computability of the constant functions can be dropped. We show that when $\mathcal{M}$ is effectively $ω$-categorical, then $\mathcal{M}^{[0,1)}$ is computably categorical, that is, has a unique computable presentation up to computable isomorphism. A special case of this result is that the unique separable atomless probability algebra is computably categorical. Finally, we show that all randomizations admit effective quantifier elimination.
title Computable presentations of randomizations
topic Logic
url https://arxiv.org/abs/2506.06187