Stochastic dynamics and the Polchinski equation: an introduction
Roland Bauerschmidt, Thierry Bodineau, Benoit Dagallier

TL;DR
This paper introduces a renormalisation group perspective on stochastic dynamics, connecting various recent developments like stochastic localisation, variational formulas, and measure transportation, to deepen understanding of log-Sobolev inequalities.
Contribution
It provides an overview linking stochastic dynamics, renormalisation group methods, and recent advances in measure transportation and variational approaches.
Findings
Connects stochastic localisation with renormalisation group techniques.
Explains relationships between F"ollmer process, variational formulas, and measure transportation.
Highlights classical analogues for Hamilton--Jacobi equations in mean-field limits.
Abstract
This introduction surveys a renormalisation group perspective on log-Sobolev inequalities and related properties of stochastic dynamics. We also explain the relationship of this approach to related recent and less recent developments such as Eldan's stochastic localisation and the F\"ollmer process, the Bou\'e--Dupuis variational formula and the Barashkov--Gubinelli approach, the transportation of measure perspective, and the classical analogues of these ideas for Hamilton--Jacobi equations which arise in mean-field limits.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGeometric Analysis and Curvature Flows · Markov Chains and Monte Carlo Methods · Stochastic processes and financial applications
