Ornstein-Uhlenbeck Type Processes on Wasserstein Space
Panpan Ren, Feng-Yu Wang

TL;DR
This paper constructs an Ornstein-Uhlenbeck process on the Wasserstein space of probability measures, establishing key functional inequalities and analyzing perturbations within this geometric stochastic framework.
Contribution
It introduces an OU-type Dirichlet form on Wasserstein space using stochastic analysis, providing new tools for infinite-dimensional probability geometry.
Findings
Log-Sobolev inequality holds for the constructed process.
The Markov semigroup is $L^2$-compact.
Perturbations of the Dirichlet form are analyzed.
Abstract
Let be the space of probability measures on having finite second moment, and consider the Riemannian structure on induced by the intrinsic derivative on the -tangent space. By using stochastic analysis on the tangent space, we construct an OrnsteinUhlenbeck (OU) type Dirichlet form on whose generator is formally given by the intrinsic Laplacian with a drift. The log-Sobolev inequality holds and the associated Markov semigroup is -compact. Perturbations of the OU Dirichlet form are also studied.
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Taxonomy
TopicsGeometric Analysis and Curvature Flows · Stochastic processes and financial applications · Markov Chains and Monte Carlo Methods
