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In this paper we prove that in the class of metric measure spaces with Alexandrov curvature bounded from below the Riemannian curvature-dimension condition $RCD(K,N)$ with $K\in \mathbb{R}$ and $N\in [1,\infty)$ is preserved under doubling…

Differential Geometry · Mathematics 2020-03-16 Vitali Kapovitch , Christian Ketterer , Karl-Theodor Sturm

Aim of this paper is to discuss convergence of pointed metric measure spaces in absence of any compactness condition. We propose various definitions, show that all of them are equivalent and that for doubling spaces these are also…

Metric Geometry · Mathematics 2017-05-17 Nicola Gigli , Andrea Mondino , Giuseppe Savaré

We prove tight subspace concentration inequalities for the dual curvature measures $\widetilde{\mathrm{C}}_q(K,\cdot)$ of an $n$-dimensional origin-symmetric convex body for $q\geq n+1$. This supplements former results obtained in the range…

Metric Geometry · Mathematics 2017-03-31 Martin Henk , Hannes Pollehn

The goal of this note is to prove the Half Space Property for RCD(0,N) spaces, namely that if (X,d,m) is a parabolic RCD(0,N) space and $ C \subset X \times \mathbb{R}$ is locally the boundary of a perimeter minimizing set and it is…

Differential Geometry · Mathematics 2025-09-24 Alessandro Cucinotta , Andrea Mondino

We prove the existence of solutions for the Monge minimization problem, addressed in a metric measure space $(X,d,m)$ enjoying the Riemannian curvature-dimension condition $\RCD(K,N)$, with $N < \infty$. For the first marginal measure, we…

Metric Geometry · Mathematics 2013-10-16 Fabio Cavalletti

Warped product manifolds with p-dimensional base, p=1,2, satisfy some curvature conditions of pseudosymmetry type. These conditions are formed from the metric tensor g, the Riemann-Christoffel curvature tensor R, the Ricci tensor S and the…

Differential Geometry · Mathematics 2016-01-20 Ryszard Deszcz , Małgorzata Głogowska , Jan Jełowicki , Georges Zafindratafa

In the late `90s there was a flurry of activity relating $1$-rectifiable sets, boundedness of singular integral operators, the analytic capacity of a set, and the integral Menger curvature in the plane. In `99 Leger extended the results for…

Classical Analysis and ODEs · Mathematics 2019-10-10 Max Goering

We prove that, given an $RCD^{*}(K,N)$-space $(X,d,m)$, then it is possible to $m$-essentially cover $X$ by measurable subsets $(R_{i})_{i\in \mathbb{N}}$ with the following property: for each $i$ there exists $k_{i} \in \mathbb{N}\cap…

Metric Geometry · Mathematics 2020-02-12 Martin Kell , Andrea Mondino

We survey recent results in hermitian integral geometry, i.e. integral geometry on complex vector spaces and complex space forms. We study valuations and curvature measures on complex space forms and describe how the global and local…

Differential Geometry · Mathematics 2019-04-02 Andreas Bernig

The Lott-Sturm-Villani curvature-dimension condition $\mathsf{CD}(K,N)$ provides a synthetic notion for a metric-measure space to have curvature bounded from below by $K$ and dimension bounded from above by $N$. It was proved by Juillet…

Differential Geometry · Mathematics 2023-09-07 Mattia Magnabosco , Tommaso Rossi

The curvature-dimension condition is a generalization of the Bochner inequality to weighted Riemannian manifolds and general metric measure spaces. It is now known to be equivalent to evolution variational inequalities for the heat…

Probability · Mathematics 2015-10-28 François Bolley , Ivan Gentil , Arnaud Guillin , Kazumasa Kuwada

A regularization procedure, that allows one to relate singularities of curvature to those of the Einstein tensor without some of the shortcomings of previous approaches, is proposed. This regularization is obtained by requiring that (i) the…

General Relativity and Quantum Cosmology · Physics 2011-08-11 N. R. Pantoja , H. Rago

We explicitly calculate the Riemannian curvature of D-dimensional metrics recently discussed by Chen, Lu and Pope. We find that they can be concisely written by using a single function. The Einstein condition which corresponds to the…

High Energy Physics - Theory · Physics 2008-11-26 Naoki Hamamoto , Tsuyoshi Houri , Takeshi Oota , Yukinori Yasui

We give two examples of metric measure spaces satisfying the measure contraction property MCP(K,N) but having different topological dimensions at different regions of the space. The first one satisfies MCP(0,3) and contains a subset…

Metric Geometry · Mathematics 2014-03-14 Christian Ketterer , Tapio Rajala

We prove local Poincar\'e inequalities under various curvature-dimension conditions which are stable under the measured Gromov-Hausdorff convergence. The first class of spaces we consider is that of weak CD(K,N) spaces as defined by Lott…

Differential Geometry · Mathematics 2011-07-26 Tapio Rajala

Let $(X,d)$ be a compact metric space. We consider the behavior of probability measures $\mu$ with the property that $$ \int_{X} d(x, y) d\mu(y) \qquad \mbox{is independent of}~x \in X.$$ It appears that such measures, when they exist,…

Metric Geometry · Mathematics 2026-02-24 Stefan Steinerberger

We study two properties for subsets of a metric space. One of them is generalization of chainability, finite chainability, and Menger convexity for metric spaces; while the other is a generalization of compactness. We explore the basic…

Geometric Topology · Mathematics 2023-01-19 Ajit Kumar Gupta , Saikat Mukherjee

Measure contraction property is a synthetic Ricci curvature lower bound for metric measure spaces. We consider Sasakian manifolds with non-negative Tanaka-Webster Ricci curvature equipped with the metric measure space structure defined by…

Differential Geometry · Mathematics 2015-12-29 Paul W. Y. Lee

Our aim in this paper is to study local rigidity for metrics defined on a compact manifold $M$ with boundary satisfying constant scalar curvature on $M$ and constant mean curvature on $\partial M$. We present some geometrical hypotheses…

Differential Geometry · Mathematics 2015-08-05 Sandra C. García-Martinez , J. Herrera

To measure the quality of a set of vector quantization points a means of measuring the distance between a random point and its quantization is required. Common metrics such as the {\em Hamming} and {\em Euclidean} metrics, while…

Machine Learning · Computer Science 2019-11-15 Jonathan Baxter