Ricci curvature for metric-measure spaces via optimal transport

Type: Article

Publication Date: 2009-04-22

Citations: 1291

DOI: https://doi.org/10.4007/annals.2009.169.903

Abstract

We define a notion of a measured length space X having nonnegative N -Ricci curvature, for N ∈ [1, ∞), or having ∞-Ricci curvature bounded below by K, for K ∈ R. The definitions are in terms of the displacement convexity of certain functions on the associated Wasserstein metric space P 2 (X) of probability measures.We show that these properties are preserved under measured Gromov-Hausdorff limits.We give geometric and analytic consequences.This paper has dual goals.One goal is to extend results about optimal transport from the setting of smooth Riemannian manifolds to the setting of length spaces.A second goal is to use optimal transport to give a notion for a measured length space to have Ricci curvature bounded below.We refer to [11] and [44] for background material on length spaces and optimal transport, respectively.Further bibliographic notes on optimal transport are in Appendix F. In the present introduction we motivate the questions that we address and we state the main results.To start on the geometric side, there are various reasons to try to extend notions of curvature from smooth Riemannian manifolds to more general spaces.A fairly general setting is that of length spaces, meaning metric spaces (X, d) in which the distance between two points equals the infimum of the lengths of curves joining the points.In the rest of this introduction we assume that X is a compact length space.Alexandrov gave a good notion of a length space having "curvature bounded below by K", with K a real number, in terms of the geodesic triangles in X.In the case of a Riemannian manifold M with the induced length structure, one recovers the Riemannian notion of having sectional curvature bounded below by K. Length spaces with Alexandrov curvature bounded below by K behave nicely with respect to the Gromov-Hausdorff topology on compact metric spaces (modulo isometries); they form a closed subset.

Locations

  • arXiv (Cornell University) - View - PDF
  • Annals of Mathematics - View - PDF

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