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We discuss some properties of the distance functions on Riemannian manifolds and we relate their behavior to the geometry of the manifolds. This leads to alternative proofs of some "classical" theorems connecting curvature and topology.

Differential Geometry · Mathematics 2026-02-20 Carlo Mantegazza , Francesca Oronzio

First we establish a weighted Reilly formula for differential forms on a smooth compact oriented Riemannian manifold with boundary. Then we give two applications of this formula when the manifold satisfies certain geometric conditions. One…

Differential Geometry · Mathematics 2024-05-07 Changwei Xiong

We provide a derivative estimate for the pluriclosed flow, controlling higher order derivatives of Chern curvature and torsion using the Chern curvature. Moreover, we derive an estimate for torsion tensor using Chern Ricci curvature in…

Differential Geometry · Mathematics 2023-11-14 Yanan Ye

By methods of stochastic analysis on Riemannian manifolds, we derive explicit constants $c\_1(D)$ and $c\_2(D)$ for a $d$-dimensional compact Riemannian manifold $D$ with boundary such that $c\_1(D)\sqrt{\lambda}\|\phi\|\_\infty \le…

Probability · Mathematics 2018-08-14 Marc Arnaudon , Anton Thalmaier , Feng-Yu Wang

During the years 1940-1970, Alexandrov and the "Leningrad School" have investigated the geometry of singular surfaces in depth. The theory developed by this school is about topological surfaces with an intrinsic metric for which we can…

Differential Geometry · Mathematics 2022-01-11 Marc Troyanov

In this paper, we prove some isoperimetric bounds for lower order eigenvalues of the Wentzell-Laplace operator on bounded domains of a Euclidean space or a Hadamard manifold, of the Laplacian on closed hypersurfaces of a Euclidean space or…

Differential Geometry · Mathematics 2021-08-17 Feng Du , Jing Mao , Qiao-Ling Wang , Chang-Yu Xia

A Riemannian metric on a manifold M induces a family of Riemannian metrics on the loop space LM depending on a Sobolev space parameter s. We compute the connection forms of these metrics and the higher symbols of their curvature forms,…

Differential Geometry · Mathematics 2014-05-19 Yoshiaki Maeda , Steven Rosenberg , Fabián Torres-Ardila

We show a new, elementary and geometric proof of the classical Alexandrov theorem about the second order differentiability of convex functions. We also show new proofs of recent results about Lusin approximation of convex functions and…

Classical Analysis and ODEs · Mathematics 2023-08-02 Daniel Azagra , Anthony Cappello , Piotr Hajłasz

A formula for the Riemannian metric tensor of differentiable manifolds of linear dynamical systems of same McMillan degree is presented in terms of their transfer function matrices. The necessary calculations for its application to ARMA and…

Optimization and Control · Mathematics 2007-05-23 Joao Jose de Farias Neto

We determine the extent to which certain classes of fractionally `smooth' continuous mappings between metric spaces distort various dimensions, including the Hausdorff, upper Minkowski (box-counting), and upper intermediate dimensions. Our…

Classical Analysis and ODEs · Mathematics 2025-10-16 Ryan Alvarado , Efstathios Konstantinos Chrontsios Garitsis

Riemannian Geometry, Topology and Dynamics permit to introduce partially defined holomorphic functions on the variety of representations of the fundamental group of a manifold. The functions we consider are the complex valued Ray-Singer…

Differential Geometry · Mathematics 2007-05-23 Dan Burghelea , Stefan Haller

Based on a local approximation of the Riemannian distance on a manifold by a computationally cheap dissimilarity measure, a time discrete geodesic calculus is developed, and applications to shape space are explored. The dissimilarity…

Numerical Analysis · Mathematics 2012-10-03 Martin Rumpf , Benedikt Wirth

Gromov introduced two distance functions, the box distance and the observable distance, on the space of isomorphism classes of metric measure spaces and developed the convergence theory of metric measure spaces. We investigate several…

Metric Geometry · Mathematics 2023-04-17 Daisuke Kazukawa , Hiroki Nakajima , Takashi Shioya

A consistent approach to the description of integral coordinate invariant functionals of the metric on manifolds ${\cal M}_{\alpha}$ with conical defects (or singularities) of the topology $C_{\alpha}\times\Sigma$ is developed. According to…

High Energy Physics - Theory · Physics 2016-09-06 D. V. Fursaev , S. N. Solodukhin

We introduce first weighted function spaces on Rd using the Dunkl convolution that we call Besov-Dunkl spaces. We provide characterizations of these spaces by decomposition of functions. Next we obtain in the real line and in radial case on…

Analysis of PDEs · Mathematics 2010-05-31 Chokri Abdelkefi

In this paper, we propose a Riemannian version of the difference of convex algorithm (DCA) to solve a minimization problem involving the difference of convex (DC) function. We establish the equivalence between the classical and simplified…

Optimization and Control · Mathematics 2023-05-04 Ronny Bergmann , Orizon P. Ferreira , Elianderson M. Santos , João Carlos O. Souza

We establish Euclidean-type lower bounds for the codimension-1 Hausdorff measure of sets that separate points in doubling and linearly locally contractible metric manifolds. This gives a quantitative topological isoperimetric inequality in…

Metric Geometry · Mathematics 2016-10-24 Kyle Kinneberg

We consider the measure-geometric Laplacians $\Delta^{\mu}$ with respect to atomless compactly supported Borel probability measures $\mu$ as introduced by Freiberg and Z\"ahle in 2002 and show that the harmonic calculus of $\Delta^{\mu}$…

Functional Analysis · Mathematics 2017-10-10 Marc Kesseböhmer , Tony Samuel , Hendrik Weyer

We prove uniform convergence of metrics $g_k$ on a closed surface with bounded integral curvature (measure) in the sense of A.D. Alexandrov, under the assumption that the curvature measures $\mathbb{K}_{g_k}=\mu^1_k-\mu^2_k$, where…

Differential Geometry · Mathematics 2025-07-29 Jingyi Chen , Yuxiang Li

We study Hessian estimators for functions defined over an $n$-dimensional complete analytic Riemannian manifold. We introduce new stochastic zeroth-order Hessian estimators using $O (1)$ function evaluations. We show that, for an analytic…

Machine Learning · Statistics 2022-09-28 Tianyu Wang