English
Related papers

Related papers: A speed preserving Hilbert gradient flow for gener…

200 papers

In this paper we investigate a time dependent family of plane closed Jordan curves evolving in the normal direction with a velocity which is assumed to be a function of the curvature, tangential angle and position vector of a curve. We…

Numerical Analysis · Mathematics 2012-03-02 D. Sevcovic , S. Yazaki

We introduce a regularization method for mean curvature flow of a submanifold of arbitrary codimension in the Euclidean space, through higher order equations. We prove that the regularized problems converge to the mean curvature flow for…

Analysis of PDEs · Mathematics 2007-05-23 Giovanni Bellettini , Carlo Mantegazza , Matteo Novaga

The aim of this thesis is to derive new gradient estimates for parabolic equations. The gradient estimates found are independent of the regularity of the initial data. This allows us to prove the existence of solutions to problems that have…

Analysis of PDEs · Mathematics 2007-05-23 Julie Clutterbuck

We propose Sobolev-regularized Maximum Mean Discrepancy (SrMMD) gradient flow, a regularized variant of maximum mean discrepancy (MMD) gradient flow based on a gradient penalty on the witness function. The proposed regularization mitigates…

Machine Learning · Computer Science 2026-05-13 Chenyang Tian , Bharath K. Sriperumbudur , Arthur Gretton , Zonghao Chen

This paper deals with a generalized length-preserving flow for convex curves in the plane. It is shown that the flow exists globally and deforms convex curves into circles as time tends to infinity.

Differential Geometry · Mathematics 2025-04-03 Laiyuan Gao , Shengliang Pan

We study an $L^{2}$-type gradient flow of an immersed elastic curve in $\mathbb{R}^{2}$ whose endpoints repel each other via a Coulomb potential. By De Giorgi's minimizing movements scheme we prove long-time existence of the flow. The work…

Analysis of PDEs · Mathematics 2019-02-22 Rufat Badal

In this paper we study the singular vanishing-viscosity limit of a gradient flow in a finite dimensional Hilbert space, focusing on the so-called delayed loss of stability of stationary solutions. We find a class of time-dependent energy…

Analysis of PDEs · Mathematics 2017-09-05 Giovanni Scilla , Francesco Solombrino

In this paper we prove localised weighted curvature integral estimates for solutions to the Ricci flow in the setting of a smooth four dimensional Ricci flow or a closed $n$-dimensional K\"ahler Ricci flow. These integral estimates improve…

Differential Geometry · Mathematics 2025-03-31 Jiawei Liu , Miles Simon

The purpose of this paper is to prove that the Hermitian Curvature Flow (HCF) on an Hermitian manifold $(M,g,J)$ preserves many natural curvature positivity conditions. Following Wilking, for an $Ad\,{GL(T^{1,0}M)}$-invariant subset…

Complex Variables · Mathematics 2020-09-03 Yury Ustinovskiy

We consider curvature flows in hyperbolic space with a monotone, symmetric, homogeneous of degree 1 curvature function F. Furthermore we assume F to be either concave and inverse concave or convex. For compact initial hypersurfaces, which…

Differential Geometry · Mathematics 2012-08-10 Matthias Makowski

We consider the evolution by mean curvature of smooth $n$-dimensional submanifolds in $\mathbb{R}^{n+k}$ which are compact and quadratically pinched. We will be primarily interested in flows of high codimension, the case $k\geq 2$. We prove…

Differential Geometry · Mathematics 2020-06-11 Stephen Lynch , Huy The Nguyen

We study the convergences of three projected Sobolev gradient flows to the ground state of the Gross-Pitaevskii eigenvalue problem. They are constructed as the gradient flows of the Gross-Pitaevskii energy functional with respect to the…

Numerical Analysis · Mathematics 2023-11-30 Ziang Chen , Jianfeng Lu , Yulong Lu , Xiangxiong Zhang

Geometric flows, where an immersed manifold evolves in time according to its own geometry, exhibit important structural properties. For example, surface diffusion dissipates surface area while conserving volume; it is desirable to preserve…

Numerical Analysis · Mathematics 2026-05-21 Ganghui Zhang , Boris D. Andrews , Patrick E. Farrell

In this work, we introduce two novel reformulations of a recent weakly hyperbolic model for two-phase flow with surface tension. In the model, the tracking of phase boundaries is achieved by using a vector interface field, rather than a…

Numerical Analysis · Mathematics 2021-02-03 Simone Chiocchetti , Ilya Peshkov , Sergey Gavrilyuk , Michael Dumbser

We study a projection-type gradient flow for equality-constrained maximisation of a smooth bilinear control objective on $\mathcal{H}=L^2(0,T;\mathbb{R})$, eliminating Lagrange multipliers through an $(M{+}1)\times(M{+}1)$ moving Gram…

Quantum Physics · Physics 2026-05-04 Tanveer Ahmad

We study the mean curvature flow of graphs both with Neumann boundary conditions and transport terms. We derive boundary gradient estimates for the mean curvature flow. As an application, the existence of the mean curvature flow of graphs…

Analysis of PDEs · Mathematics 2021-12-22 Masashi Mizuno , Keisuke Takasao

We provide sufficient conditions on an initial curve for the area preserving and the length preserving curvature flows of curves in a plane, to develop a singularity at some finite time or converge to an $m$-fold circle as time goes to…

Analysis of PDEs · Mathematics 2017-08-17 Natasa Sesum , Dong-Ho Tsai , Xiao-Liu Wang

We study the evolution of compact convex curves in two-dimensional space forms. The normal speed is given by the difference of the weighted inverse curvature with the support function, and in the case where the ambient space is the…

Differential Geometry · Mathematics 2023-08-11 Kwok-Kun Kwong , Yong Wei , Glen Wheeler , Valentina-Mira Wheeler

We introduce a new geometric flow of Hermitian metrics which evolves an initial metric along the second derivative of the Chern scalar curvature. The flow depends on the choice of a background metric, it always reduces to a scalar equation…

Differential Geometry · Mathematics 2018-06-08 Lucio Bedulli , Luigi Vezzoni

Sampling a probability distribution with an unknown normalization constant is a fundamental problem in computational science and engineering. This task may be cast as an optimization problem over all probability measures, and an initial…

Machine Learning · Statistics 2024-09-12 Yifan Chen , Daniel Zhengyu Huang , Jiaoyang Huang , Sebastian Reich , Andrew M. Stuart