Talagrand Concentration Inequalities for Stochastic Partial Differential Equations
classification
🧮 math.PR
keywords
inequalitiesdifferentialequationsmeasurestochasticconcentrationpartialsome
read the original abstract
One way to define the concentration of measure phenomenon is via Talagrand inequalities, also called transportation-information inequalities. That is, a comparison of the Wasserstein distance from the given measure to any other absolutely continuous measure with finite relative entropy. Such transportation-information inequalities were recently established for some stochastic differential equations. Here, we develop a similar theory for some stochastic partial differential equations.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.