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We review some recent results on the mean curvature flows of Lagrangian submanifolds from the perspective of geometric partial differential equations. These include global existence and convergence results, characterizations of first-time…

Differential Geometry · Mathematics 2011-04-19 Mu-Tao Wang

We classify the self-similar solutions to a class of Weingarten curvature flow of connected compact convex hypersurfaces, isometrically immersed into space forms with non-positive curvature, and obtain a new characterization of a sphere in…

Differential Geometry · Mathematics 2009-05-07 Guanghan Li , Isabel Salavessa , Chuanxi Wu

We study the geometry of fanning curves in the Grassmann manifold of n-dimensional subspaces of $\mathbb{R}^{kn}$; we construct a complete system of invariants which solve the congruence problem. The geometry of the invariants themselves…

Differential Geometry · Mathematics 2016-10-25 Carlos E. Durán , Cíntia R. de A. Peixoto

In this paper we introduce a new class of diffeomorphic smoothers based on general spline smoothing techniques and on the use of some tools that have been recently developed in the context of image warping to compute smooth diffeomorphisms.…

Statistics Theory · Mathematics 2009-12-07 Jeremie bigot , Sebastien Gadat

This paper aims at developing new shape functions adapted to smooth vanishing coefficients for scalar wave equation. It proposes the numerical analysis of their interpolation properties. The interpolation is local but high order convergence…

Numerical Analysis · Mathematics 2019-08-16 Lise-Marie Imbert-Gerard

We study discrete curvatures computed from nets of curvature lines on a given smooth surface, and prove their uniform convergence to smooth principal curvatures. We provide explicit error bounds, with constants depending only on properties…

Differential Geometry · Mathematics 2015-05-07 Ulrich Bauer , Konrad Polthier , Max Wardetzky

In a series of papers, Weil initiated the investigation of translation invariant curvature measures of convex bodies, which include as prime examples Federer's curvature measures. In this paper, we continue this line of research by…

Differential Geometry · Mathematics 2026-02-10 Jakob Schuhmacher , Thomas Wannerer

In this paper we discuss the variety of planar spiral segments and their applications in objects in both the real and artificial world. The discussed curves with monotonic curvature function are well-known in geometric modelling and…

Graphics · Computer Science 2013-05-08 Rushan Ziatdinov , Kenjiro T. Miura

The equations of motion for a Lagrangian ${\cal L}(k_1)$, depending on the curvature $k_1$ of the particle worldline, embedded in a space--time of constant curvature, are considered and reformulated in terms of the principal curvatures. It…

High Energy Physics - Theory · Physics 2009-10-28 V. V. Nesterenko , A. Feoli , G. Scarpetta

In this paper, we present a novel algorithm for piecewise linear regression which can learn continuous as well as discontinuous piecewise linear functions. The main idea is to repeatedly partition the data and learn a liner model in in each…

Machine Learning · Computer Science 2014-09-10 Naresh Manwani , P. S. Sastry

We introduce a new version of the KL-divergence for Gaussian distributions which is based on Wasserstein geometry and referred to as WKL-divergence. We show that this version is consistent with the geometry of the sample space ${\Bbb R}^n$.…

Statistics Theory · Mathematics 2026-05-29 Adwait Datar , Nihat Ay

We introduce the notion of a nonlinear splitting on a fibre bundle as a generalization of an Ehresmann connection. We present its basic properties and we pay attention to the special cases of affine, homogeneous and principal nonlinear…

Differential Geometry · Mathematics 2022-08-09 S. Hajdú , T. Mestdag

The sliced Wasserstein metric compares probability measures on $\mathbb{R}^d$ by taking averages of the Wasserstein distances between projections of the measures to lines. The distance has found a range of applications in statistics and…

Analysis of PDEs · Mathematics 2024-11-25 Sangmin Park , Dejan Slepčev

We analyze flat FRW cosmologies and hyperscaling-violating geometries by emphasizing the analytic continuation between them and their scale covariance. We exhibit two main calculations where this point of view is useful. First, based on the…

High Energy Physics - Theory · Physics 2015-06-16 Edgar Shaghoulian

A notion of differentiability is being proposed for maps between Wasserstein spaces of order 2 of smooth, connected and complete Riemannian manifolds. Due to the nature of the tangent space construction on Wasserstein spaces, we only give a…

Metric Geometry · Mathematics 2020-10-06 Bernadette Lessel , Thomas Schick

Motivated by recent data analyses in biomedical imaging studies, we consider a class of image-on-scalar regression models for imaging responses and scalar predictors. We propose using flexible multivariate splines over triangulations to…

Methodology · Statistics 2021-06-04 Shan Yu , Guannan Wang , Li Wang , Lijian Yang

We study rays and co-rays in the Wasserstein space $P_p(\mathcal{X})$ ($p > 1$) whose ambient space $\mathcal{X}$ is a complete, separable, non-compact, locally compact length space. We show that rays in the Wasserstein space can be…

Dynamical Systems · Mathematics 2019-10-15 Guomin Zhu , Wen-Long Li , Xiaojun Cui

We classify global surfaces of section for flows on 3-manifolds defining Seifert fibrations. We discuss branched coverings -- one way or the other -- between surfaces of section for the Hopf flow and those for any other Seifert fibration of…

Geometric Topology · Mathematics 2024-01-17 Bernhard Albach , Hansjörg Geiges

High-efficient direct numerical methods are currently in demand for optimization procedures in the fields of both conventional diffractive and metasurface optics. With a view of extending the scope of application of the previously proposed…

Computational Physics · Physics 2019-09-04 Alexey A. Shcherbakov

The conventional sliced Wasserstein is defined between two probability measures that have realizations as vectors. When comparing two probability measures over images, practitioners first need to vectorize images and then project them to…

Computer Vision and Pattern Recognition · Computer Science 2022-09-26 Khai Nguyen , Nhat Ho
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