Category theory with examples in probability theory
Abstract
The basic concepts of category theory are developed and examples of them are presented to illustrate them using measurement theory and probability theory tools. Motivated by Perrone's workarXiv:1912.10642 where notes on category theory are developed with examples of basic mathematics, we present the concepts of category, functor, natural transformation, and products with examples in the probabilistic context. The most prominent examples of the application of Category Theory to Probability Theory are the Lawvere (available at ncatlab.org/nlab/files/lawvereprobability1962.pdf.) and Giry (avaible at https://doi.org/10.1007/BFb0092872) approaches. However, there are few categories with objects as probability spaces due to the difficulty of finding an appropriate condition to define arrows between them
Keywords
Cite
@article{arxiv.2111.13837,
title = {Category theory with examples in probability theory},
author = {Gabriel Granda and Miguel Flores},
journal= {arXiv preprint arXiv:2111.13837},
year = {2021}
}
Comments
29 pages, written by Gabriel Granda and reviewed by Miguel Flores