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Related papers: Geodesic Reduction via Frame Bundle Geometry

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Frame bundles equipped with a principal connection have their local structure characterised by a 1-form, called the Cartan connection 1-form, which gathers the principal connection form and the soldering form. We introduce generalised frame…

Differential Geometry · Mathematics 2025-09-10 Jérémie Pierard de Maujouy

A translation surface is given by polygons in the plane, with sides identified by translations to create a closed Riemann surface with a flat structure away from finitely many singular points. Understanding geodesic flow on a surface…

Dynamical Systems · Mathematics 2025-07-21 Jon Chaika , Samantha Fairchild

Correlation matrices are used in many domains of neurosciences such as fMRI, EEG, MEG. However, statistical analyses often rely on embeddings into a Euclidean space or into Symmetric Positive Definite matrices which do not provide intrinsic…

Differential Geometry · Mathematics 2021-03-09 Yann Thanwerdas , Xavier Pennec

The main purposes of this article are to extend our previous results on homogeneous sprays to arbitrary (generalized) sprays, to show that locally diffeomorphic exponential maps can be defined for any (generalized) spray, and to give a…

Differential Geometry · Mathematics 2007-05-23 L. Del Riego , Phillip. E. Parker

In this paper, we consider the conormal bundle over a submanifold in a Finsler manifold and establish a volume comparison theorem. As an application, we derive a lower estimate for length of closed geodesics in a Finsler manifold. In the…

Differential Geometry · Mathematics 2017-10-31 Wei Zhao

A theory of double affine and special double affine bundles, i.e. differential manifolds with two compatible (special) affine bundle structures, is developed as an affine counterpart of the theory of double vector bundles. The motivation…

Differential Geometry · Mathematics 2011-11-22 Janusz Grabowski , Mikolaj Rotkiewicz , Pawel Urbanski

We review the basic elements of the geometrical formalism for description of gauge fields and the theory of invariant connections, and their applications to the coset space dimensional reduction of Yang-Mills theories. We also discuss the…

Mathematical Physics · Physics 2007-05-23 Yuri A. Kubyshin

Consider a compact Riemannian manifold with boundary endowed with a magnetic field. A path taken by a particle of unit charge, mass, and energy is called a magnetic geodesic. It is shown that if everything is real-analytic, the topology,…

Differential Geometry · Mathematics 2009-10-23 Pilar Herreros , James Vargo

Recently Ohsawa has studied the Marsden-Weinstein-Meyer quotient of the manifold $T^*\mathbb{R}^n\times T^*\mathbb{R}^{2n^2}$ under a $\operatorname{O}(2n)$-symmetry, and has used this quotient to describe the relationship between two…

Mathematical Physics · Physics 2019-11-05 Paul Skerritt

The continuity, in a suitable topology, of algebraic and geometric operations on real analytic manifolds and vector bundles is proved. This is carried out using recently arrived at seminorms for the real analytic topology. A new…

Differential Geometry · Mathematics 2022-02-15 Andrew D. Lewis

We discuss new sufficient conditions under which an affine manifold $(M,\nabla)$ is geodesically connected. These conditions are shown to be essentially weaker than those discussed in groundbreaking work by Beem and Parker and in recent…

Differential Geometry · Mathematics 2020-05-21 Ivan P. Costa e Silva , José L. Flores

The question whether a Riemannian manifold is geodesically connected can be studied from geometrical as well as variational methods, and accurate results can be obtained by using the associated distance and related properties of the…

Differential Geometry · Mathematics 2023-04-21 Miguel Sanchez

We study the space of oriented genus g subsurfaces of a fixed manifold M, and in particular its homological properties. We construct a "scanning map" which compares this space to the space of sections of a certain fibre bundle over M…

Algebraic Topology · Mathematics 2017-06-14 Federico Cantero Morán , Oscar Randal-Williams

Kernel-based non-linear dimensionality reduction methods, such as Local Linear Embedding (LLE) and Laplacian Eigenmaps, rely heavily upon pairwise distances or similarity scores, with which one can construct and study a weighted graph…

Statistics Theory · Mathematics 2019-08-06 Tingran Gao

Consider a broken geodesics $\alpha([0,l])$ on a compact Riemannian manifold $(M,g)$ with boundary of dimension $n\geq 3$. The broken geodesics are unions of two geodesics with the property that they have a common end point. Assume that for…

Analysis of PDEs · Mathematics 2007-05-23 Yaroslav Kurylev , Matti Lassas , Gunther Uhlmann

Random geometric graphs are random graph models defined on metric spaces. Such a model is defined by first sampling points from a metric space and then connecting each pair of sampled points with probability that depends on their distance,…

Machine Learning · Computer Science 2026-04-10 Han Huang , Pakawut Jiradilok , Elchanan Mossel

We establish an in-in formalism for geodesic deviation as an alternative to Synge calculus, based on a covariant calculus of differential forms in tangent bundle. This derives the exact Lagrangian and equations governing the finite geodesic…

General Relativity and Quantum Cosmology · Physics 2025-09-30 Joon-Hwi Kim

In our [Higher-order preconnections in synthetic differential geometry of jet bundles, Beitr\"{a}ge zur Algebra und Geometrie, 45 (2004), 677-696] we have established the affine bundle theorem in the synthetic approach to jet bundles in…

Differential Geometry · Mathematics 2007-05-23 Hirokazu Nishimura

Some aspects of the geometry and the dynamics of generalized Chaplygin systems are investigated. First, two different but complementary approaches to the construction of the reduced dynamics are reviewed: a symplectic approach and an…

Dynamical Systems · Mathematics 2007-05-23 F. Cantrijn , J. Cortes , M. de Leon , D. Martin de Diego

Diffusion-based manifold learning methods have proven useful in representation learning and dimensionality reduction of modern high dimensional, high throughput, noisy datasets. Such datasets are especially present in fields like biology…

Machine Learning · Computer Science 2023-05-31 Guillaume Huguet , Alexander Tong , Edward De Brouwer , Yanlei Zhang , Guy Wolf , Ian Adelstein , Smita Krishnaswamy