A guide to Brownian motion and related stochastic processes
read the original abstract
This is a guide to the mathematical theory of Brownian motion and related stochastic processes, with indications of how this theory is related to other branches of mathematics, most notably the classical theory of partial differential equations associated with the Laplace and heat operators, and various generalizations thereof. As a typical reader, we have in mind a student, familiar with the basic concepts of probability based on measure theory, at the level of the graduate texts of Billingsley and Durrett , and who wants a broader perspective on the theory of Brownian motion and related stochastic processes than can be found in these texts.
This paper has not been read by Pith yet.
Forward citations
Cited by 1 Pith paper
-
PhD thesis "Extreme value statistics of strongly correlated systems: fermions, random matrices and random walks"
Exact mappings connect trapped fermions to random matrix theory, yielding edge statistics for fermions and Ginibre eigenvalues plus gap statistics for discrete random walks.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.