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In this paper we introduce a new geometric flow --- the hyperbolic gradient flow for graphs in the $(n+1)$-dimensional Euclidean space $\mathbb{R}^{n+1}$. This kind of flow is new and very natural to understand the geometry of manifolds. We…

微分几何 · 数学 2016-09-09 De-Xing Kong , Kefeng Liu

We prove gradient estimates for hypersurfaces in the hyperbolic space $\mathbb{H}^{n+1},$ expanding by negative powers of a certain class of homogeneous curvature functions. We obtain optimal gradient estimates for hypersurfaces evolving by…

微分几何 · 数学 2015-05-21 Julian Scheuer

We study a flow of $G_2$ structures which induce the same Riemannian metric which is the negative gradient flow of an energy functional. We prove Shi-type estimates for the torsion tensor along the flow. We show that at a finite-time…

微分几何 · 数学 2021-02-15 Shubham Dwivedi , Panagiotis Gianniotis , Spiro Karigiannis

This paper aims to investigate the evolution problem for planar curves with singularities. Motivated by the inverse curvature flow introduced by Li and Wang (Calc. Var. Partial Differ. Equ. 62 (2023), No. 135), we intend to consider the…

微分几何 · 数学 2024-04-19 Yunlong Yang , Yanwen Zhao , Jianbo Fang , Yanlong Zhang

Existing analyses of optimization in deep learning are either continuous, focusing on (variants of) gradient flow, or discrete, directly treating (variants of) gradient descent. Gradient flow is amenable to theoretical analysis, but is…

机器学习 · 计算机科学 2021-12-30 Omer Elkabetz , Nadav Cohen

In this paper we consider the polyharmonic heat flow of a closed curve in the plane. Our main result is that closed initial data with initially small normalised oscillation of curvature and isoperimetric defect flows exponentially fast in…

微分几何 · 数学 2015-05-13 Scott Parkins , Glen Wheeler

Steady fluid flows have very special topology. In this paper we describe necessary and sufficient conditions on the vorticity function of a 2D ideal flow on a surface with or without boundary, for which there exists a steady flow among…

辛几何 · 数学 2015-11-19 Anton Izosimov , Boris Khesin

Convolutional neural networks are widely used in imaging and image recognition. Learning such networks from training data leads to the minimization of a non-convex function. This makes the analysis of standard optimization methods such as…

最优化与控制 · 数学 2026-01-14 Jona-Maria Diederen , Holger Rauhut , Ulrich Terstiege

We consider a motion of non-closed planar curves with infinite length. The motion is governed by a steepest descent flow for the geometric functional which consists of the sum of the length functional and the total squared curvature. We…

偏微分方程分析 · 数学 2013-06-07 Matteo Novaga , Shinya Okabe

We investigate the onset and evolution of zonal flows in a growing convective layer when a stably-stratified fluid with a composition gradient is cooled from above. This configuration allows the study of zonal flows for a wide range of…

流体动力学 · 物理学 2023-11-08 J. R. Fuentes , A. Cumming

In this article, we extend Huisken's theorem that convex surfaces flow to round points by mean curvature flow. We construct certain classes of mean convex and non-mean convex hypersurfaces that shrink to round points and use these…

微分几何 · 数学 2021-05-17 Alexander Mramor , Alec Payne

In the present paper we carry out a systematic study about the flow of a spherical curve by the mean curvature flow with density in a 3-dimensional rotationally symmetric space with density $(M^3_w,\:g_w,\:\xi)$ where the density $\xi$…

微分几何 · 数学 2020-11-10 Francisco Viñado-Lereu

Motivated by Pan-Yang [PY] and Ma-Cheng [MC], we study a general linear nonlocal curvature flow for convex closed plane curves and discuss the short time existence and asymptotic convergence behavior of the flow. Due to the linear structure…

微分几何 · 数学 2010-12-02 Yu-Chu Lin , Dong-Ho Tsai

We consider a one-parameter family of strictly convex hypersurfaces in $\mathbb{R}^{n+1}$ moving with speed $- K^\alpha \nu$, where $\nu$ denotes the outward-pointing unit normal vector and $\alpha \geq \frac{1}{n+2}$. For $\alpha >…

微分几何 · 数学 2017-11-01 Simon Brendle , Kyeongsu Choi , Panagiota Daskalopoulos

In proper, geodesic Gromov hyperbolic spaces, we investigate discrete-time gradient flows via the proximal point algorithm for unbounded Lipschitz convex functions. Assuming that the target convex function has negative asymptotic slope…

最优化与控制 · 数学 2025-10-24 Shin-ichi Ohta

We develop the theory of discrete-time gradient flows for convex functions on Alexandrov spaces with arbitrary upper or lower curvature bounds. We employ different resolvent maps in the upper and lower curvature bound cases to construct…

度量几何 · 数学 2017-01-18 Shin-ichi Ohta , Miklós Pálfia

We establish existence of steepest descent curves emanating from almost every point of a regular locally Lipschitz quasiconvex functions, where regularity means that the sweeping process flow induced by the sublevel sets is reversible. We…

最优化与控制 · 数学 2024-07-19 Aris Daniilidis , David Salas

Particle diffusion in a two dimensional curved surface embedded in $R_3$ is considered. In addition to the usual diffusion flow, we find a new flow with an explicit curvature dependence. New diffusion equation is obtained in $\epsilon$…

生物物理 · 物理学 2015-05-14 Naohisa Ogawa

Given a smooth convex cone in the Euclidean $(n+1)$-space ($n\geq2$), we consider strictly mean convex hypersurfaces with boundary which are star-shaped with respect to the center of the cone and which meet the cone perpendicularly. If…

微分几何 · 数学 2021-04-21 Jing Mao , Qiang Tu

In this paper, we study the area-preserving and length-preserving $\kappa^\alpha$-type curvature flows of smooth, closed, convex curves in the two-dimensional hyperbolic plane $\mathbb H^2$ for $\alpha<0$ and prove that convexity is…

微分几何 · 数学 2026-04-14 Zhishuai Liu , Guoxin Wei