Visible to the public Kolmogorov Extension, Martingale Convergence, and Compositionality of Processes

TitleKolmogorov Extension, Martingale Convergence, and Compositionality of Processes
Publication TypeConference Paper
Year of Publication2016
AuthorsKozen, Dexter
Conference NameProceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4391-6
Keywordscomposability, compositionality, Computing Theory, Kolmogorov extension, Markov processes, martingale convergence, probabilistic computation, pubcrawl
Abstract

We show that the Kolmogorov extension theorem and the Doob martingale convergence theorem are two aspects of a common generalization, namely a colimit-like construction in a category of Radon spaces and reversible Markov kernels. The construction provides a compositional denotational semantics for lossless iteration in probabilistic programming languages, even in the absence of a natural partial order.

URLhttp://doi.acm.org/10.1145/2933575.2933610
DOI10.1145/2933575.2933610
Citation Keykozen_kolmogorov_2016