Entropic Measure and Wasserstein Diffusion
Max-K von Renesse, Karl-Theodor Sturm

TL;DR
This paper introduces new Gibbs-structured random probability measures on the sphere and interval, and constructs diffusion processes on these measures using Dirichlet form methods, including a Wasserstein space diffusion.
Contribution
It develops a novel Gibbs measure framework with entropy-based Hamiltonian and constructs canonical Wasserstein space diffusion processes.
Findings
Constructed Gibbs measures with quasi-invariance properties.
Developed diffusion processes related to Malliavin's Brownian motion.
Established a canonical Wasserstein space diffusion process.
Abstract
We construct a new random probability measure on the sphere and on the unit interval which in both cases has a Gibbs structure with the relative entropy functional as Hamiltonian. It satisfies a quasi-invariance formula with respect to the action of smooth diffeomorphism of the sphere and the interval respectively. The associated integration by parts formula is used to construct two classes of diffusion processes on probability measures (on the sphere or the unit interval) by Dirichlet form methods. The first one is closely related to Malliavin's Brownian motion on the homeomorphism group. The second one is a probability valued stochastic perturbation of the heat flow, whose intrinsic metric is the quadratic Wasserstein distance. It may be regarded as the canonical diffusion process on the Wasserstein space.
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 · Point processes and geometric inequalities · Geometry and complex manifolds
