At the close of the 1980s, the independent contributions of Yann Brenier, Mike Cullen and John Mather launched a revolution in the venerable field of optimal transport founded by G …
The book is devoted to the theory of gradient flows in the general framework of metric spaces, and in the more specific setting of the space of probability measures, which provide …
Includes material for a standard graduate class, advanced material not covered by the standard course but necessary in order to read research literature in the area, and extensive …
This book provides the reader with the principal concepts and results related to differential properties of measures on infinite dimensional spaces. In the finite dimensional case such …
A new identity for the entropy of a non-linear image of a measure on is obtained, which yields the well-known Talagrand's inequality. Triangular mappings on and are studied, that …
F Barthe, AV Kolesnikov - Journal of Geometric Analysis, 2008 - Springer
We develop the optimal transportation approach to modified log-Sobolev inequalities and to isoperimetric inequalities. Various sufficient conditions for such inequalities are given. Some …
AV Kolesnikov - Theory of Probability & Its Applications, 2013 - SIAM
We study Sobolev a priori estimates for the optimal transportation T=∇Φ between probability measures μ=e^-V\,dx and ν=e^-W\,dx on \bfR^d. Assuming uniform convexity of …
AV Kolesnikov, ED Kosov - arXiv preprint arXiv:1801.00140, 2017 - arxiv.org
Let $\gamma $ be the standard Gaussian measure on $\mathbb {R}^ n $ and let $\mathcal {P} _ {\gamma} $ be the space of probability measures that are absolutely continuous with …