Results 11 to 20 of about 1,787 (168)

Spheres and Tori as Elliptic Linear Weingarten Surfaces

open access: yesMathematics, 2022
The linear Weingarten condition with ellipticity for the mean curvature and the extrinsic Gaussian curvature on a surface in the three-sphere can define a Riemannian metric which is called the elliptic linear Weingarten metric.
Dong-Soo Kim, Young Ho Kim, Jinhua Qian
doaj   +1 more source

A Diffusion-Map-Based Algorithm for Gradient Computation on Manifolds and Applications

open access: yesIEEE Access, 2023
We present a technique to estimate the Riemannian gradient of a given function defined on interior points of a Riemannian submanifold in the Euclidean space based on a sample of function evaluations at points in the submanifold. It applies to cases where
Alvaro Almeida Gomez   +2 more
doaj   +1 more source

Holomorphic Riemannian Maps [PDF]

open access: yesZurnal matematiceskoj fiziki, analiza, geometrii, 2014
6 ...
openaire   +3 more sources

Generic Riemannian maps [PDF]

open access: yesMiskolc Mathematical Notes, 2017
As a generalization of semi-invariant Riemannian maps from almost Hermitian manifols, we first introduce generic Riemannian maps from almost Hermitian manifolds to Riemannian manifolds, give examples, obtain decomposition theorems and investigate harmonicity and totally geodesicity of such maps.
openaire   +3 more sources

Biwave Maps into Manifolds

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2009
We generalize wave maps to biwave maps. We prove that the composition of a biwave map and a totally geodesic map is a biwave map. We give examples of biwave nonwave maps.
Yuan-Jen Chiang
doaj   +1 more source

Positively Continuum-Wise Expansiveness for C1 Differentiable Maps

open access: yesMathematics, 2019
We show that if a differentiable map f of a compact smooth Riemannian manifold M is C 1 robustly positive continuum-wise expansive, then f is expanding.
Manseob Lee
doaj   +1 more source

Riemannian Convex Potential Maps

open access: yes, 2021
Modeling distributions on Riemannian manifolds is a crucial component in understanding non-Euclidean data that arises, e.g., in physics and geology. The budding approaches in this space are limited by representational and computational tradeoffs. We propose and study a class of flows that uses convex potentials from Riemannian optimal transport.
Cohen, Samuel   +2 more
openaire   +2 more sources

Spherical Ruled Surfaces in S3 Characterized by the Spherical Gauss Map

open access: yesMathematics, 2020
The Laplace operator on a Riemannian manifold plays an important role with eigenvalue problems and the spectral theory. Extending such an eigenvalue problem of smooth maps including the Gauss map, the notion of finite-type was introduced.
Young Ho Kim, Sun Mi Jung
doaj   +1 more source

Geodesic Learning With Uniform Interpolation on Data Manifold

open access: yesIEEE Access, 2022
Recently with the development of deep learning on data representation and generation, how to sampling on a data manifold becomes a crucial problem for research.
Cong Geng   +3 more
doaj   +1 more source

Quasiregular Mappings on Sub-Riemannian Manifolds [PDF]

open access: yesThe Journal of Geometric Analysis, 2015
33 ...
Fässler, Katrin   +2 more
openaire   +3 more sources

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