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We establish Carleman estimates for singular/degenerate parabolic Dirichlet problems with degeneracy and singularity occurring in the interior of the spatial domain. Our results are completely new, since this situation is not covered by…

偏微分方程分析 · 数学 2015-11-19 Genni Fragnelli , Dimitri Mugnai

We derive a priori interior Hessian and gradient estimates for special Lagrangian equation of phase at least a critical value in dimension three.

偏微分方程分析 · 数学 2008-01-09 Micah Warren , Yu Yuan

We give upper and lower bounds of perturbation series for transition densities, corresponding to additive gradient perturbations satisfying certain space-time integrability conditions.

概率论 · 数学 2011-10-11 Tomasz Jakubowski , Karol Szczypkowski

In this paper, both semidiscrete and completely discrete finite volume element methods (FVEMs) are analyzed for approximating solutions of a class of linear hyperbolic integro- differential equations in a two-dimensional convex polygonal…

数值分析 · 数学 2014-01-22 Samir Karaa , Amiya K. Pani

We describe local similarities and global differences between minimal surfaces in Euclidean 3-space and constant mean curvature 1 surfaces in hyperbolic 3-space. We also describe how to solve global period problems for constant mean…

微分几何 · 数学 2008-04-29 Wayne Rossman

A broad class of possibly non-unique generalized kinetic solutions to hyperbolic-parabolic PDEs is introduced. Optimal regularity estimates in time and space for such solutions to nonlocal, and spatially inhomogeneous variants of the porous…

偏微分方程分析 · 数学 2023-11-13 Benjamin Gess , Jonas Sauer

We consider nonlinear perturbations of the hyperbolic equation in the Hilbert space. Necessary and sufficient conditions for the existence of solutions of boundary-value problem for the corresponding equation and iterative procedures for…

偏微分方程分析 · 数学 2023-04-20 Pokutnyi Oleksandr

This paper aims at achieving a "good" estimator for the gradient of a function on a high-dimensional space. Often such functions are not sensitive in all coordinates and the gradient of the function is almost sparse. We propose a method for…

机器学习 · 统计学 2016-07-27 Vivek S. Borkar , Vikranth R. Dwaracherla , Neeraja Sahasrabudhe

We study asymptotic behaviors of solutions $f$ to the Dirichlet problem for minimal graphs in the hyperbolic space with singular asymptotic boundaries under the assumption that the boundaries are piecewise regular with positive curvatures.…

偏微分方程分析 · 数学 2016-03-15 Qing Han , Weiming Shen , Yue Wang

This preliminary report studies immersed surfaces of constant mean curvature in $H^3$ through their {\it adjusted Gauss maps} (as harmonic maps in $S^2$) and their {\it adjusted frames} in SU(2). Lawson's correspondence between Euclidean…

微分几何 · 数学 2007-05-23 Magdalena Toda

This survey introduces to the hyperbolic unfolding correspondence that links the geometric analysis of minimal hypersurfaces with that of Gromov hyperbolic spaces. Problems caused from hypersurface singularities oftentimes become solvable…

微分几何 · 数学 2022-04-29 Joachim Lohkamp

In this paper, we prove Souplet-Zhang type gradient estimates for a nonlinear parabolic equation on smooth metric measure spaces with the compact boundary under the Dirichlet boundary condition when the Bakry-Emery Ricci tensor and the…

微分几何 · 数学 2022-08-16 Xuenan Fu , Jia-Yong Wu

We prove the existence of closed hypersurfaces of prescribed scalar curvature in globally hyperbolic Lorentzian manifolds provided there are barriers.

微分几何 · 数学 2016-02-26 Christian Enz

In this paper we deal with local estimates for parabolic problems in $\mathbb{R}^N$ with absorbing first order terms, whose model is $\{ {l} u_t- \Delta u +u |\nabla u|^q = f(t,x) \quad &{in}\, (0,T) \times \mathbb{R}^N\,, \\[1.5 ex]…

偏微分方程分析 · 数学 2014-11-14 Tommaso Leonori , Francesco Petitta

We prove that the spatial gradient of (variational) solutions to parabolic obstacle problems of p-Laplacian type enjoys the same regularity of the data and of the derivatives of the obstacle in the scale of Lorentz spaces.

偏微分方程分析 · 数学 2013-11-07 Paolo Baroni

Geometric representation learning has recently shown great promise in several machine learning settings, ranging from relational learning to language processing and generative models. In this work, we consider the problem of performing…

机器学习 · 统计学 2020-05-29 Gian Maria Marconi , Lorenzo Rosasco , Carlo Ciliberto

Hyperbolic neural networks (HNNs) have demonstrated notable efficacy in representing real-world data with hierarchical structures via exploiting the geometric properties of hyperbolic spaces characterized by negative curvatures. Curvature…

机器学习 · 计算机科学 2025-08-27 Xiaomeng Fan , Yuwei Wu , Zhi Gao , Mehrtash Harandi , Yunde Jia

This paper is devoted to the interior $C^2$ estimates for a class of sum Hessian quotient equations. For $0\leq l<k<n$, we establish the interior estimates and the Pogorelov type estimates. In the case $k=n$, we obtain a weaker Pogorelov…

偏微分方程分析 · 数学 2025-10-27 Changyu Ren , Ziyi Wang

We are concerned with spacelike convex hypersurfaces of positive constant (K-hypersurfaces) or prescribed Gauss curvature in Minkowski space. Our main purpose is to study entire solutions as well as the Dirichlet problem in bounded domains…

偏微分方程分析 · 数学 2007-05-23 Bo Guan , Huaiyu Jian , Richard M. Schoen

The aim of this paper is to give an upper bound for the intrinsic diameter of a surface with boundary immersed in a conformally flat three dimensional Riemannian manifold in terms of the integral of the mean curvature and of the length of…

微分几何 · 数学 2023-03-20 Marco Flaim , Christian Scharrer
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