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arXiv · 2211.02507

Dilations and information flow axioms in categorical probability

Tobias Fritz·Tomáš Gonda·Nicholas Gauguin Houghton-Larsen·Antonio Lorenzin·Paolo Perrone·Dario Stein
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Abstract

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.

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Tobias Fritz, Tomáš Gonda, Nicholas Gauguin Houghton-Larsen, Antonio Lorenzin, Paolo Perrone, Dario Stein. 2025-10-16. Dilations and information flow axioms in categorical probability. https://doi.org/10.1017/s0960129523000324

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