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We study the local geometry of the space of horizontal curves with endpoints freely varying in two given submanifolds $\mathcal P$ and $\mathcal Q$ of a manifold $\mathcal M$ endowed with a distribution $\mathcal D\subset T\M$. We give a…

Differential Geometry · Mathematics 2007-05-23 Paolo Piccione , Daniel V. Tausk

Dirichlet-to-Neumann maps enable the coupling of multiphysics simulations across computational subdomains by ensuring continuity of state variables and fluxes at artificial interfaces. We present a novel method for learning…

Machine Learning · Computer Science 2026-01-27 Adrienne M. Propp , Jonas A. Actor , Elise Walker , Houman Owhadi , Nathaniel Trask , Daniel M. Tartakovsky

We consider surfaces immersed in three-dimensional pseudohermitian manifolds. We define the notion of (p-)mean curvature and of the associated (p-)minimal surfaces, extending some concepts previously given for the (flat) Heisenberg group.…

Differential Geometry · Mathematics 2008-04-16 Jih-Hsin Cheng , Jenn-Fang Hwang , Andrea Malchiodi , Paul Yang

In this paper, we investigate the critical points of solutions to the prescribed constant mean curvature equation with Neumann and Robin boundary conditions respectively in a bounded smooth convex domain $\Omega$ of…

Analysis of PDEs · Mathematics 2018-06-14 Haiyun Deng , Hairong Liu , Long Tian

The Dirichlet Laplacian in a curved three-dimensional tube built along a spatial (bounded or unbounded) curve is investigated in the limit when the uniform cross-section of the tube diminishes. Both deformations due to bending and twisting…

Spectral Theory · Mathematics 2015-06-04 David Krejcirik , Helena Sedivakova

The purpose of this paper is to establish that for any compact, connected C^{\infty} Riemannian manifold there exists a robust family of kernels of increasing smoothness that are well suited for interpolation. They generate Lagrange…

Classical Analysis and ODEs · Mathematics 2010-07-20 Thomas Hangelbroek , Fran J. Narcowich , Joe D. Ward

We are interested in the kernel of one-dimensional diffusion equations with continuous coefficients as evaluated by means of explicit discretization schemes of uniform step $h>0$ in the limit as $h\to0$. We consider both semidiscrete…

Numerical Analysis · Mathematics 2007-11-02 Claudio Albanese

For a compact connected Riemannian manifold of dimension $n$ with smooth boundary, $n\geqslant 2$, we prove that the Cauchy data (or the Dirichlet-to-Neumann map) for the Stokes equations uniquely determines the partial derivatives of all…

Analysis of PDEs · Mathematics 2024-08-20 Xiaoming Tan

We study the Dirichlet problem for a class of curvature equations arising from conformal geometry on Riemannian manifolds $(M^n, g)$ with boundary where $n \geq 3$. We prove there exists a unique solution using the continuity method which…

Analysis of PDEs · Mathematics 2018-02-06 Weisong Dong

Under the assumption that data lie on a compact (unknown) manifold without boundary, we derive finite sample bounds for kernel smoothing and its (first and second) derivatives, and we establish asymptotic normality through Berry-Esseen type…

Statistics Theory · Mathematics 2026-01-26 Eunseong Bae , Wolfgang Polonik

The Riemann problem is fundamental in the computational modeling of hyperbolic partial differential equations, enabling the development of stable and accurate upwind schemes. While exact solvers provide robust upwinding fluxes, their high…

Numerical Analysis · Mathematics 2025-11-26 Akshay Thakur , Matthew J. Zahr

The present article is dedicated to proving convergence of the stochastic gradient method in case of random shape optimization problems. To that end, we consider Bernoulli's exterior free boundary problem with a random interior boundary. We…

Optimization and Control · Mathematics 2024-08-12 Marc Dambrine , Caroline Geiersbach , Helmut Harbrecht

This paper introduces a novel steepest descent flow in Banach spaces. This extends previous works on generalized gradient descent, notably the work of Charpiat et al., to the setting of Finsler metrics. Such a generalized gradient allows…

Numerical Analysis · Mathematics 2015-12-08 Guillaume Charpiat , Giacomo Nardi , Gabriel Peyré , François-Xavier Vialard

Existing statistical learning guarantees for general kernel regressors often yield loose bounds when used with finite-rank kernels. Yet, finite-rank kernels naturally appear in several machine learning problems, e.g.\ when fine-tuning a…

Machine Learning · Computer Science 2023-10-04 Tin Sum Cheng , Aurelien Lucchi , Ivan Dokmanić , Anastasis Kratsios , David Belius

We consider a finite difference approximation of mean curvature flow for axisymmetric surfaces of genus zero. A careful treatment of the degeneracy at the axis of rotation for the one dimensional partial differential equation for a…

Numerical Analysis · Mathematics 2021-10-20 Klaus Deckelnick , Robert Nürnberg

We present an alternative way of solving the steerable kernel constraint that appears in the design of steerable equivariant convolutional neural networks. We find explicit real and complex bases which are ready to use, for different…

Machine Learning · Computer Science 2026-03-16 Alan Garbarz

We consider the consensus problem in a decentralized network, focusing on a compact submanifold that acts as a nonconvex constraint set. By leveraging the proximal smoothness of the compact submanifold, which encompasses the local singleton…

Optimization and Control · Mathematics 2023-06-09 Jiang Hu , Jiaojiao Zhang , Kangkang Deng

In this paper we study numerical approximations of the evolution problem for the nonlocal $p$-Laplacian with homogeneous Neumann boundary conditions. First, we derive a bound on the distance between two continuous-in-time trajectories…

Analysis of PDEs · Mathematics 2019-04-29 Hafiene Yosra , Jalal Fadili , Abderrahim Elmoataz

We study a class of degenerate parabolic equations with boundary point degeneracy in dimensions N>=2 and investigate the associated boundary observability problem by means of shape design. While one-dimensional degenerate models have been…

Analysis of PDEs · Mathematics 2026-03-27 Donghui Yang , Jie Zhong

Surface partial differential equations arise in numerous scientific and engineering applications. Their numerical solution on static and evolving surfaces remains challenging due to geometric complexity and, for evolving geometries, the…

Numerical Analysis · Mathematics 2026-03-03 Jingbo Sun , Fei Wang