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We prove that the geodesic equations of all Sobolev metrics of fractional order one and higher on spaces of diffeomorphisms and, more generally, immersions are locally well posed. This result builds on the recently established real analytic…

Differential Geometry · Mathematics 2023-12-08 Martin Bauer , Philipp Harms , Peter W. Michor

We investigate basic properties of mappings of finite distortion $f:X \to \mathbb{R}^2$, where $X$ is any metric surface, i.e., metric space homeomorphic to a planar domain with locally finite $2$-dimensional Hausdorff measure. We introduce…

Metric Geometry · Mathematics 2024-05-15 Damaris Meier , Kai Rajala

On a manifold with boundary, we deform the metric conformally. This induces a deformation of the Schouten tensor. We fix the metric at the boundary and realize a prescribed value for the product of the eigenvalues of the Schouten tensor in…

Analysis of PDEs · Mathematics 2007-05-23 Oliver C. Schnuerer

In this paper, I will show how to use $\beta$-deformations to deal with dual flatness of $(\alpha,\beta)$-metrics. It is a natural continuation of the research on dually flat Randers metrics(see arxiv:1209.1150). $\beta$-deformations is a…

Differential Geometry · Mathematics 2013-05-17 Changtao Yu

The aim of this paper is to find an optimal matching between manifold-valued curves, and thereby adequately compare their shapes, seen as equivalent classes with respect to the action of reparameterization. Using a canonical decomposition…

Differential Geometry · Mathematics 2018-01-22 Alice Le Brigant

Estimating the pose of an object from a monocular image is an inverse problem fundamental in computer vision. The ill-posed nature of this problem requires incorporating deformation priors to solve it. In practice, many materials do not…

Computer Vision and Pattern Recognition · Computer Science 2023-03-20 Oriol Barbany , Adrià Colomé , Carme Torras

The Riemannian manifold of curves with a Sobolev metric is an important and frequently studied model in the theory of shape spaces. Various numerical approaches have been proposed to compute geodesics, but so far elude a rigorous…

Numerical Analysis · Mathematics 2025-05-16 Sascha Beutler , Florine Hartwig , Martin Rumpf , Benedikt Wirth

We use PDE methods as developed for the Liouville equation to study the existence of conformal metrics with prescribed singularities on surfaces with boundary, the boundary condition being constant geodesic curvature. Our first result shows…

Differential Geometry · Mathematics 2007-12-20 Juergen Jost , Guofang Wang , Chunqin Zhou

We construct examples of compact and one-ended constant mean curvature surfaces with large mean curvature in Riemannian manifolds with axial symmetry by gluing together small spheres positioned end-to-end along a geodesic. Such surfaces…

Differential Geometry · Mathematics 2008-12-17 Adrian Butscher , Rafe Mazzeo

We review some basic concepts related to convex real projective structures from the differential geometry point of view. We start by recalling a Riemannian metric which originates in the study of affine spheres using the Blaschke connection…

Geometric Topology · Mathematics 2014-06-30 Inkang Kim , Athanase Papadopoulos

We consider spaces of smooth immersed plane curves (modulo translations and/or rotations), equipped with reparameterization invariant weak Riemannian metrics involving second derivatives. This includes the full $H^2$-metric without zero…

Differential Geometry · Mathematics 2015-11-12 Martin Bauer , Martins Bruveris , Peter W. Michor

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

Metrics on shape space are used to describe deformations that take one shape to another, and to determine a distance between them. We study a family of metrics on the space of curves, that includes several recently proposed metrics, for…

Differential Geometry · Mathematics 2014-10-07 Martin Bauer , Martins Bruveris , Stephen Marsland , Peter W. Michor

This paper introduces a new metric and mean on the set of positive semidefinite matrices of fixed-rank. The proposed metric is derived from a well-chosen Riemannian quotient geometry that generalizes the reductive geometry of the positive…

Optimization and Control · Mathematics 2009-10-21 Silvere Bonnabel , Rodolphe Sepulchre

Surface comparison and matching is a challenging problem in computer vision. While reparametrization-invariant Sobolev metrics provide meaningful elastic distances and point correspondences via the geodesic boundary value problem, solving…

Computer Vision and Pattern Recognition · Computer Science 2021-06-11 Martin Bauer , Nicolas Charon , Philipp Harms , Hsi-Wei Hsieh

Profile decompositions for "critical" Sobolev-type embeddings are established, allowing one to regain some compactness despite the non-compact nature of the embeddings. Such decompositions have wide applications to the regularity theory of…

Analysis of PDEs · Mathematics 2016-04-12 Gabriel S. Koch

We propose Riemannian preconditioned algorithms for the tensor completion problem via tensor ring decomposition. A new Riemannian metric is developed on the product space of the mode-2 unfolding matrices of the core tensors in tensor ring…

Optimization and Control · Mathematics 2023-11-15 Bin Gao , Renfeng Peng , Ya-xiang Yuan

A new characterization is provided for the class of compact rank-one symmetric spaces. Such spaces are the only symmetric spaces of compact type for which the standard vector field on their sphere bundles is Killing with respect to some…

Differential Geometry · Mathematics 2023-06-21 J. C. González-Dávila

Nonlinear dimensionality reduction methods provide a valuable means to visualize and interpret high-dimensional data. However, many popular methods can fail dramatically, even on simple two-dimensional manifolds, due to problems such as…

Machine Learning · Statistics 2020-07-08 Daniel Ting , Michael I. Jordan

For a surface immersed in a three-dimensional space endowed with a norm instead of an inner product, one can define analogous concepts of curvature and metric. With these concepts in mind, various questions immediately appear. The aim of…

Differential Geometry · Mathematics 2017-09-06 Vitor Balestro , Horst Martini , Ralph Teixeira