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We study curvature-adapted submanifolds of general symmetric spaces. We generalize Cartan's theorem for isoparametric hypersurfaces of spheres and Wang's classification of isoparametric Hopf hypersurfaces in complex projective spaces to any…

Differential Geometry · Mathematics 2012-02-21 Thomas Murphy

The extension of bivariate measures of dependence to non-Euclidean spaces is a challenging problem. The non-linear nature of these spaces makes the generalisation of classical measures of linear dependence (such as the covariance) not…

Statistics Theory · Mathematics 2024-10-10 Meshal Abuqrais , Davide Pigoli

We characterize the geometry and topology of the set of all weight vectors for which a linear neural network computes the same linear transformation $W$. This set of weight vectors is called the fiber of $W$ (under the matrix multiplication…

Machine Learning · Computer Science 2024-04-24 Jonathan Richard Shewchuk , Sagnik Bhattacharya

We propose a novel framework to learn the spatiotemporal variability in longitudinal 3D shape data sets, which contain observations of objects that evolve and deform over time. This problem is challenging since surfaces come with arbitrary…

Computer Vision and Pattern Recognition · Computer Science 2021-08-23 Hamid Laga , Marcel Padilla , Ian H. Jermyn , Sebastian Kurtek , Mohammed Bennamoun , Anuj Srivastava

An integrable system is a dynamic system characterized by the existence of constants of motion and the existence of algebraic invariants, having an origin in algebraic geometry. In the 1970s, Mumford introduced a new completely integrable…

Algebraic Geometry · Mathematics 2022-04-19 Yasmine Fittouhi

Deep Neural Networks are widely used for solving complex problems in several scientific areas, such as speech recognition, machine translation, image analysis. The strategies employed to investigate their theoretical properties mainly rely…

Machine Learning · Computer Science 2022-09-26 Alessandro Benfenati , Alessio Marta

We introduce a framework for Riemannian diffeology. To this end, we use the tangent functor in the sense of Blohmann and one of the options of a metric on a diffeological space in the sense of Iglesias-Zemmour. As a consequence, the…

Differential Geometry · Mathematics 2026-02-05 Katsuhiko Kuribayashi , Keiichi Sakai , Yusuke Shiobara

We prove a semisimplicity result for the boundary, in the corresponding Deligne-Mumford compactification, of a totally geodesic subvariety of a moduli space of Riemann surfaces. At the level of Teichm\"uller space, this semisimplicity…

Geometric Topology · Mathematics 2025-04-24 Francisco Arana-Herrera , Alex Wright

Starting from a Riemannian conformal structure on a manifold M, we provide a method to construct a family of Lorentzian manifolds. The construction relies on the choice of a metric in the conformal class and a smooth 1-parameter family of…

Differential Geometry · Mathematics 2023-09-25 Rodrigo Morón , Francisco J. Palomo

We classify all smooth flat Riemannian metrics on the two-dimensional plane. In the complete case, it is well-known that these metrics are isometric to the Euclidean metric. In the incomplete case, there is an abundance of…

Differential Geometry · Mathematics 2020-01-14 Vincent E. Coll, , Lee B. Whitt

Let $g_t$ be a smooth 1-parameter family of negatively curved metrics on a closed hyperbolic 3-manifold $M$ starting at the hyperbolic metric. We construct foliations of the Grassmann bundle $Gr_2(M)$ of tangent 2-planes whose leaves are…

Differential Geometry · Mathematics 2021-02-09 Ben Lowe

In this paper, we explore a volume-based stable embedding of multi-dimensional signals based on Grassmann manifold, via Gaussian random measurement matrices. The Grassmann manifold is a topological space in which each point is a linear…

Information Theory · Computer Science 2014-02-21 Hailong Shi , Hao Zhang , Gang Li , Xiqin Wang

Splines and subdivision curves are flexible tools in the design and manipulation of curves in Euclidean space. In this paper we study generalizations of interpolating splines and subdivision schemes to the Riemannian manifold of shell…

Numerical Analysis · Mathematics 2017-02-23 Pascal Huber , Ricardo Perl , Martin Rumpf

Matrix-valued covariance functions are crucial to geostatistical modeling of multivariate spatial data. The classical assumption of symmetry of a multivariate covariance function is overlay restrictive and has been considered as unrealistic…

Statistics Theory · Mathematics 2017-11-28 Alfredo Alegría , Emilio Porcu , Reinhard Furrer

We define new Riemannian structures on 7-manifolds by a differential form of mixed degree which is the critical point of a (possibly constrained) variational problem over a fixed cohomology class. The unconstrained critical points…

Differential Geometry · Mathematics 2009-11-10 Frederik Witt

Relationships between entities in datasets are often of multiple nature, like geographical distance, social relationships, or common interests among people in a social network, for example. This information can naturally be modeled by a set…

Machine Learning · Computer Science 2015-08-31 Xiaowen Dong , Pascal Frossard , Pierre Vandergheynst , Nikolai Nefedov

We classify maximal totally geodesic submanifolds in exceptional symmetric spaces up to isometry. Moreover, we introduce an invariant for certain totally geodesic embeddings of semisimple symmetric spaces, which we call the Dynkin index. We…

Differential Geometry · Mathematics 2023-02-24 Andreas Kollross , Alberto Rodríguez-Vázquez

We study the geometry of an important class of generic curves in the Grassmannian manifolds of $n$-dimensional subspaces and Lagrangian subspaces of $R^{2n}$ under the action of the linear and linear symplectic group.

Symplectic Geometry · Mathematics 2011-09-21 Juan Carlos Álvarez Paiva , Carlos E. Durán

Let G be a Lie group equipped with a left-invariant semi-Riemannian metric. Let K be a semisimple subgroup of G generating a left-invariant conformal foliation F of codimension two on G. We then show that the foliation F is minimal. This…

Differential Geometry · Mathematics 2024-04-01 Sigmundur Gudmundsson , Thomas Jack Munn

It is known, that every function on the unit sphere in $\bbr^n$, which is invariant under rotations about some coordinate axis, is completely determined by a function of one variable. Similar results, when invariance of a function reduces…

Functional Analysis · Mathematics 2008-01-03 Gestur Ólafsson , Boris Rubin
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