Independence relations in randomizations
Uri Andrews, Isaac Goldbring, and H. Jerome Keisler

TL;DR
This paper investigates different notions of independence within models of the randomized theory of a complete first order theory, exploring how these concepts behave in a probabilistic setting.
Contribution
It introduces and analyzes various independence relations in the context of the randomization of a complete first order theory, expanding understanding of probabilistic model theory.
Findings
Different independence notions are characterized in models of the randomized theory.
The properties and relationships of these independence notions are systematically studied.
Results contribute to the understanding of probabilistic independence in model theory.
Abstract
The randomization of a complete first order theory is the complete continuous theory with two sorts, a sort for random elements of models of , and a sort for events in an underlying probability space. We study various notions of independence in models of .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Topology and Set Theory · Advanced Algebra and Logic · semigroups and automata theory
