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Reparametrization invariant Sobolev metrics on spaces of regular curves have been shown to be of importance in the field of mathematical shape analysis. For practical applications, one usually discretizes the space of smooth curves and…

Differential Geometry · Mathematics 2025-03-26 Jonathan Cerqueira , Emmanuel Hartman , Eric Klassen , Martin Bauer

Many procedures in science, engineering and medicine produce data in the form of geometric shapes. Mathematically, a shape can be modeled as an un-parameterized immersed sub-manifold, which is the notion of shape used here. Endowing shape…

Differential Geometry · Mathematics 2012-11-16 Philipp Harms

We formulate a series of conjectures relating the geometry of conformal manifolds to the spectrum of local operators in conformal field theories in $d>2$ spacetime dimensions. We focus on conformal manifolds with limiting points at infinite…

High Energy Physics - Theory · Physics 2021-10-27 Eric Perlmutter , Leonardo Rastelli , Cumrun Vafa , Irene Valenzuela

We gave a new very simple proof that the completion of the space of the diffeomorphism of the circle modulo conformal maps with respect to the Weil-Petersson Metric is a complex analytic manifold modeled on the Hilbert space with 3/2…

Mathematical Physics · Physics 2007-06-13 M. Schonbek , A. Todorov , J. Zubelli

Measures play an important role in the characterisation of various function spaces. In this paper, the structure of density measures will be investigated. These are elements of the dual of the space of essentially bounded func- tions. The…

Metric Geometry · Mathematics 2017-10-09 Moritz Schönherr , Friedemann Schuricht

This is a pedagogical introduction covering maps of metric spaces, Gromov-Hausdorff distance and its "physical" meaning, and dilation structures as a convenient simplification of an exhaustive database of maps of a metric space into…

Metric Geometry · Mathematics 2011-12-24 Marius Buliga

We study general geometric properties of cone spaces, and we apply them on the Hellinger--Kantorovich space $(\mathcal{M}(X),\mathsf{H\hspace{-0.25em} K}_{\alpha,\beta}).$ We exploit a two-parameter scaling property of the…

Metric Geometry · Mathematics 2018-05-21 Vaios Laschos , Alexander Mielke

A projective parameter of a geodesic on a Finsler space is defined to be solution of a certain ODE. Using projective parameter and Funk metric, one can construct a projectively invariant intrinsic pseudo-distance on a Finsler space. In the…

Differential Geometry · Mathematics 2013-10-03 M. Sepasi , B. Bidabad

Let $(M,g)$ be a Riemannian manifold with Riemannian distance $\mathsf{d}_g$, and $\mathcal{M}(M)$ be the space of all non-negative Borel measures on $M$, endowed with the Hellinger-Kantorovich distance $\mathsf{H\! K}_{\mathsf{d}_g}$…

Functional Analysis · Mathematics 2025-03-12 Lorenzo Dello Schiavo , Giacomo Enrico Sodini

We study deformations of the geodesic distances on a domain of R N induced by a function called conformal factor. We show that under a positive reach assumption on the domain (not necessarily a submanifold) and mild assumptions on the…

Statistics Theory · Mathematics 2026-02-19 Jérôme Taupin

Recent links between Finsler Geometry and the geometry of spacetimes are briefly revisited, and prospective ideas and results are explained. Special attention is paid to geometric problems with a direct motivation in Relativity and other…

Differential Geometry · Mathematics 2015-06-17 Miguel A. Javaloyes , Miguel Sánchez

We define bilinear functionals of vector fields and differential forms, the densities of which yield the metric and Einstein tensors on even-dimensional Riemannian manifolds. We generalise these concepts in non-commutative geometry and, in…

Differential Geometry · Mathematics 2023-06-09 Ludwik Dąbrowski , Andrzej Sitarz , Paweł Zalecki

Finsler metrics are direct generalizations of Riemannian metrics such that the quadratic Riemannian indicatrices in the tangent spaces of a manifold are replaced by more general convex bodies as unit spheres. A linear connection on the base…

Differential Geometry · Mathematics 2022-04-05 Csaba Vincze , Márk Oláh

The theorem that if all geodesics of a Riemannian two-sphere are closed they are also simple closed is generalized to real Hamiltonian structures on $\mathbb{R}P^3$. For reversible Finsler $2$-spheres all of whose geodesics are closed this…

Differential Geometry · Mathematics 2016-04-01 Urs Frauenfelder , Christian Lange , Stefan Suhr

We propose a series of metrics between pairs of signals, linear systems or rational spectra, based on optimal transport and linear-systems theory. The metrics operate on the locations of the poles of rational functions and admit very…

Machine Learning · Statistics 2020-04-21 Fredrik Bagge Carlson , Mandar Chitre

Multidimensional scaling (MDS) is a family of methods that embed a given set of points into a simple, usually flat, domain. The points are assumed to be sampled from some metric space, and the mapping attempts to preserve the distances…

Computational Geometry · Computer Science 2014-03-05 Yonathan Aflalo , Anastasia Dubrovina , Ron Kimmel

We prove that every Riemannian metric on the 2-disc such that all its geodesics are minimal, is a minimal filling of its boundary (within the class of fillings homeomorphic to the disc). This improves an earlier result of the author by…

Differential Geometry · Mathematics 2011-10-03 Sergei Ivanov

Inspired by a classical theorem of topological dimension theory, we prove that every geodesic metric space of asymptotic dimension $n$ containing a bi-infinite geodesic can be coarsely separated by a subset $S$ of asymptotic dimension equal…

Group Theory · Mathematics 2024-03-26 Panagiotis Tselekidis

We consider any Finsler metric on a closed, orientable surface of genus greater than one. H. M. Morse proved that we can associate an asymptotic direction to minimal rays in the universal cover (in the Poincar\'e disc: a point on the unit…

Dynamical Systems · Mathematics 2014-09-08 Jan Philipp Schröder

Trajectory inference investigates how to interpolate paths between observed timepoints of dynamical systems, such as temporally resolved population distributions, with the goal of inferring trajectories at unseen times and better…

Machine Learning · Computer Science 2026-03-18 Aaron Zweig , Mingxuan Zhang , David A. Knowles , Elham Azizi
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