You're reading the public-facing archive of the Category Theory Zulip server.
To join the server you need an invite. Anybody can get an invite by contacting Matteo Capucci at name dot surname at gmail dot com.
For all things related to this archive refer to the same person.
In 2014 Gromov gave a very interesting series of lectures on probability theory (https://www.youtube.com/watch?v=aJAQVletzdY). The slides/notes are here Six-Lectures-on-Probabiliy-Symmetry-Linearity.pdf.
One of his main ideas is that probability theory needs a Grothendieck-style refoundation.
He compares Kolmogorov's approach to probability to Weil's approach to algebraic geometry in two ways:
Gromov states that probability spaces should instead be certain functors from the category = (finite probability measure spaces and reductions) to akin to how schemes are just certain functors from commutative rings to sets.
There's a lot more there and it's worth watching the lectures (and reading through the notes). My knowledge of probability theory is practically nonexistent so I was curious if anyone knows whether this approach works and whether it's been pursued at all.
This looks related to https://drops.dagstuhl.de/opus/volltexte/2017/8051/pdf/LIPIcs-CALCO-2017-1.pdf except I'm not sure what to make of the fact that (based on a quick skim of the notes) Gromov seems to consider covariant functors rather than contravariant ones.
Well a scheme is a certain functor , but is defined to be so Gromov's category plays the 'algebraic' role akin to the role of commutative rings in AG.
But compared to Alex Simpson's notes, the category is the full subcategory of on the finite probability spaces, right?
I'm not sure how to see as on the algebra side rather than the geometry/spatial side. I guess I will need to take a closer look at what Gromov does.
(deleted)
(deleted)
(deleted)