Moment measures and stability for Gaussian inequalities
arXiv:1801.00140
Abstract
Let be the standard Gaussian measure on and let be the space of probability measures that are absolutely continuous with respect to . We study lower bounds for the functional , where , is the relative Gaussian entropy, and is the quadratic Kantorovich distance. The minimizers of are solutions to a dimension-free Gaussian analog of the (real) Kähler-Einstein equation. We show that is bounded from below under the assumption that the Gaussian Fisher information of is finite and prove a priori estimates for the minimizers. Our approach relies on certain stability estimates for the Gaussian log-Sobolev and Talagrand transportation inequalities.
References in corpus (4)
Cited by in corpus (6)
- Stein kernels and moment maps
- The Brownian transport map
- Deficit Estimates for the Logarithmic Sobolev Inequality
- The deficit in the Gaussian log-Sobolev inequality and inverse Santalo inequalities
- Stability estimates for invariant measures of diffusion processes, with applications to stability of moment measures and Stein kernels
- Stability of Talagrand's Gaussian transport-entropy inequality via the Föllmer process