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In this paper we study the $H^2(ds)$-gradient flow for the modified elastic energy defined on closed curves in $\mathbb{R}^n$. We prove the existence of a unique global-in-time solution to the flow and establish full convergence to elastica…

Analysis of PDEs · Mathematics 2023-01-30 Shinya Okabe , Philip Schrader

We define the elastic energy of smooth immersed closed curves in $\mathbb{R}^n$ as the sum of the length and the $L^2$-norm of the curvature, with respect to the length measure. We prove that the $L^2$-gradient flow of this energy smoothly…

Analysis of PDEs · Mathematics 2021-09-30 Carlo Mantegazza , Marco Pozzetta

We study the evolution of curves with fixed length and clamped boundary conditions moving by the negative $L^2$-gradient flow of the elastic energy. For any initial curve lying merely in the energy space we show existence and parabolic…

Analysis of PDEs · Mathematics 2024-07-03 Fabian Rupp , Adrian Spener

We investigate the asymptotic stability of the length-penalized elastic flow of curves with boundary points constrained to the $x$-axis in $\mathbb{R}^2$. The main tool in our analysis is the Lojasiewicz--Simon inequality, which is used to…

Analysis of PDEs · Mathematics 2025-07-24 Antonia Diana

We examine the L^2-gradient flow of Euler's elastic energy for closed curves in hyperbolic space and prove convergence to the global minimizer for initial curves with elastic energy bounded by 16. We show the sharpness of this bound by…

Analysis of PDEs · Mathematics 2020-03-20 Marius Müller , Adrian Spener

The free elastic flow is the $L^2$-gradient flow for Euler's elastic energy, or equivalently the Willmore flow with translation invariant initial data. In contrast to elastic flows under length penalisation or preservation, it is more…

Analysis of PDEs · Mathematics 2025-06-24 Tatsuya Miura , Glen Wheeler

For a given $p\in[2,+\infty)$, we define the $p$-elastic energy $\mathscr{E}$ of a closed curve $\gamma:\mathbb{S}^1\to M$ immersed in a complete Riemannian manifold $(M,g)$ as the sum of the length of the curve and the $L^p$--norm of its…

Analysis of PDEs · Mathematics 2021-09-30 Marco Pozzetta

In this paper, we study the {\L}ojasiewicz-Simon gradient inequality for the mathematical model of grain boundary motion. We first derive a curve shortening equation with time-dependent mobility, which guarantees the energy dissipation law…

Analysis of PDEs · Mathematics 2026-03-24 Masashi Mizuno , Ayumi Sakiyama , Keisuke Takasao

We state and prove a stabilisation result for solutions of abstract gradient systems associated with nonsmooth energy functions on infinite dimensional Hilbert spaces. One feature is that in this general setting the assumption on the range…

Functional Analysis · Mathematics 2016-09-30 Ralph Chill , Sebastian Mildner

We study positivity-preserving properties for the elastic flow of non-compact, complete curves in Euclidean space. Despite the fact that the canonical elastic energy is infinite in this context, we extend our recent work based on the…

Analysis of PDEs · Mathematics 2025-08-27 Tatsuya Miura , Fabian Rupp

By the classical Li-Yau inequality, an immersion of a closed surface in $\mathbb{R}^n$ with Willmore energy below $8\pi$ has to be embedded. We discuss analogous results for curves in $\mathbb{R}^2$, involving Euler's elastic energy and…

Differential Geometry · Mathematics 2023-10-05 Marius Müller , Fabian Rupp

We prove full convergence of gradient-flows of the arc-length restricted tangent point energies in the Hilbert-case towards critical points. This is done through a {\L}ojasiewicz-Simon gradient inequality for these energies. In order to do…

Classical Analysis and ODEs · Mathematics 2025-11-11 Elias Döhrer , Nicolas Freches

In this paper, we consider the $L^2$-gradient flow for the modified $p$-elastic energy defined on planar closed curves. We formulate a notion of weak solution for the flow and prove the existence of global-in-time weak solutions with $p \ge…

Analysis of PDEs · Mathematics 2021-06-18 Shinya Okabe , Glen Wheeler

We consider closed curves in the hyperbolic space moving by the $L^2$-gradient flow of the elastic energy and prove well-posedness and long time existence. Under the additional penalisation of the length we show subconvergence to critical…

Analysis of PDEs · Mathematics 2017-10-27 Anna Dall'Acqua , Adrian Spener

This paper is dedicated to providing new tools and methods for studying the trend to equilibrium of gradient flows in metric spaces in the entropy and metric sense, to establish decay rates, finite time of extinction, and to characterize…

Analysis of PDEs · Mathematics 2019-01-28 Daniel Hauer , José Mazon

In this paper, we consider the classical variational problem in the Galilean space. we develop the Euler-Lagrange equations for a elastic line on an oriented surface in the Galilean 3-dimensional space $G_3$. Using the varia- tion method,…

Differential Geometry · Mathematics 2018-06-12 Tevfik Şahin

We study the $\Gamma$-convergence of a class of elastica-type energies defined on immersed planar curves and depending on a small positive parameter $\epsilon$. As $\epsilon\to 0^+$, sequences with equibounded energy develop concentration…

Analysis of PDEs · Mathematics 2026-05-12 Giovanni Bellettini , Virginia Lorenzini , Matteo Novaga , Riccardo Scala

We study the Willmore problem with free boundary by means of a new {\L}ojasiewicz-Simon gradient inequality for functionals on infinite dimensional manifolds. In contrast to previous works, we do not rely on a gradient-like representation…

Analysis of PDEs · Mathematics 2026-01-27 Anna Dall'Acqua , Fabian Rupp , Reiner Schätzle , Manuel Schlierf

For a smooth curve $\gamma$, we define its elastic energy as $E(\gamma)= \frac 12 \int_{\gamma} k^2 (s) ds$ where $k(s)$ is the curvature. The main purpose of the paper is to prove that among all smooth, simply connected, bounded open sets…

Optimization and Control · Mathematics 2014-12-17 Dorin Bucur , Antoine Henrot

This study focuses on a Wasserstein-type gradient flow, which represents an optimization process of a continuous model of a Deep Neural Network (DNN). First, we establish the existence of a minimizer for an average loss of the model under…

Machine Learning · Computer Science 2024-04-16 Noboru Isobe
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