Heat kernel approach to geometric analysis on metric measure spaces with Ricci curvature bounded below
Heat kernel approach to geometric analysis on metric measure spaces with Ricci curvature bounded below
Zoom link: https://princeton.zoom.us/j/594605776
*Please note the change in time*
Let $(X, d, m)$ be a compact metric measure space with Ricci curvature bounded below in a synthetic sense, so-called an RCD space. The heat kernel allows us to embed the space into $L^2$ for any time $t>0$, and the pull-back $g_t$ defines a geometric flow on the space. The geometric flow $g_t$ has various applications to metric measure geometry, including a resolution of a conjecture raised by De Philippis-Gigli. In this talk we discuss Sobolev maps between RCD
spaces via $g_t$, instead of using Nash's embedding in the smooth setting. In particular, we discuss a compatibility with Korevaar-Schoen theory, and a nonlinear analogue of Cheeger's differentiability theorem for Sobolev functions.
This talk is based on a joint work with Yannick Sire.