Dilations and information flow axioms in categorical probability

Fuente: arXiv
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Auteurs principaux: Fritz, Tobias, Gonda, Tomáš, Houghton-Larsen, Nicholas Gauguin, Lorenzin, Antonio, Perrone, Paolo, Stein, Dario
Format: Preprint
Publié: 2022
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author Fritz, Tobias
Gonda, Tomáš
Houghton-Larsen, Nicholas Gauguin
Lorenzin, Antonio
Perrone, Paolo
Stein, Dario
author_facet Fritz, Tobias
Gonda, Tomáš
Houghton-Larsen, Nicholas Gauguin
Lorenzin, Antonio
Perrone, Paolo
Stein, Dario
contents We study the positivity and causality axioms for Markov categories as properties of dilations and information flow in Markov categories, and in variations thereof for arbitrary semicartesian monoidal categories. These help us show that being a positive Markov category is merely an additional property of a symmetric monoidal category (rather than extra structure). We also characterize the positivity of representable Markov categories and prove that causality implies positivity, but not conversely. Finally, we note that positivity fails for quasi-Borel spaces and interpret this failure as a privacy property of probabilistic name generation.
format Preprint
id arxiv_https___arxiv_org_abs_2211_02507
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Dilations and information flow axioms in categorical probability
Fritz, Tobias
Gonda, Tomáš
Houghton-Larsen, Nicholas Gauguin
Lorenzin, Antonio
Perrone, Paolo
Stein, Dario
Category Theory
Information Theory
Logic in Computer Science
Probability
18M05, 18D10, 60A05, 68Q55, 03B70
We study the positivity and causality axioms for Markov categories as properties of dilations and information flow in Markov categories, and in variations thereof for arbitrary semicartesian monoidal categories. These help us show that being a positive Markov category is merely an additional property of a symmetric monoidal category (rather than extra structure). We also characterize the positivity of representable Markov categories and prove that causality implies positivity, but not conversely. Finally, we note that positivity fails for quasi-Borel spaces and interpret this failure as a privacy property of probabilistic name generation.
title Dilations and information flow axioms in categorical probability
topic Category Theory
Information Theory
Logic in Computer Science
Probability
18M05, 18D10, 60A05, 68Q55, 03B70
url https://arxiv.org/abs/2211.02507