Wasserstein space over the Wiener space
成果类型:
Article
署名作者:
Fang, Shizan; Shao, Jinghai; Sturm, Karl-Theodor
署名单位:
University of Bonn; Universite Bourgogne Europe; Beijing Normal University
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-009-0199-5
发表日期:
2010
页码:
535-565
关键词:
monge-ampere equation
transportation
geometry
摘要:
The goal of this paper is to study optimal transportation problems and gradient flows of probability measures on the Wiener space, based on and extending fundamental results of Feyel-stunel. Carrying out the program of Ambrosio-Gigli-Savar,, we present a complete characterization of the derivative processes for certain class of absolutely continuous curves. We prove existence of the gradient flow curves for the relative entropy w.r.t. the Wiener measure and identify these gradient flow curves with solutions of the Ornstein-Uhlenbeck evolution equation.