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We consider a fully discrete and explicit scheme for the mean curvature flow of boundaries, based on an elementary diffusion step and a precise redistancing operation. We give an elementary convergence proof for the scheme under the…

Analysis of PDEs · Mathematics 2026-03-30 Antonin Chambolle , Daniele De Gennaro , Massimiliano Morini

We calculate and verify with simulations the ratio between the average translational and rotational energies of systems with rough, inelastic particles, either forced or freely cooling. The ratio shows non-equipartition of energy. In…

Statistical Mechanics · Physics 2009-10-31 S. McNamara , S. Luding

In this paper we address anisotropic and inhomogeneous mean curvature flows with forcing and mobility, and show that the minimizing movements scheme converges to level set/viscosity solutions and to distributional solutions \textit{\`a la}…

Analysis of PDEs · Mathematics 2023-10-10 Antonin Chambolle , Daniele De Gennaro , Massimiliano Morini

We consider the well-known minimizing-movement approach to the definition of a solution of gradient-flow type equations by means of an implicit Euler scheme depending on an energy and a dissipation term. We perturb the energy by considering…

Analysis of PDEs · Mathematics 2019-10-09 Andrea Braides , Antonio Tribuzio

We consider a variational model for heterogeneous phase separation, based on a diffuse interface energy with moving wells. Our main result identifies the asymptotic behavior of the first variation of the phase field energies as the width of…

Analysis of PDEs · Mathematics 2024-12-04 Likhit Ganedi , Alice Marveggio , Kerrek Stinson

Difference schemes for the time-fractional diffusion equation with variable coefficients and nonlocal boundary conditions containing real parameters $\alpha$ and $\beta$ are considered. By the method of energy inequalities, for the solution…

Numerical Analysis · Mathematics 2015-03-27 A. A. Alikhanov

We introduce a notion of uniform convergence for local and nonlocal curvatures. Then, we propose an abstract method to prove the convergence of the corresponding geometric flows, within the level set formulation. We apply such a general…

Analysis of PDEs · Mathematics 2020-03-05 Annalisa Cesaroni , Lucia De Luca , Matteo Novaga , Marcello Ponsiglione

We examine a steepest energy descent flow with obstacle constraint in higher order energy frameworks where the maximum principle is not available. We construct the flow under general assumptions using De Giorgi's minimizing movement scheme.…

Analysis of PDEs · Mathematics 2019-03-04 Marius Müller

We introduce a capillary Chambolle type scheme for mean curvature flow with prescribed contact angle. Our scheme includes a capillary functional instead of just the total variation. We show that the scheme is well-defined and has…

Numerical Analysis · Mathematics 2023-05-23 Tokuhiro Eto , Yoshikazu Giga

We consider a Fokker-Planck equation which is coupled to an externally given time-dependent constraint on its first moment. This constraint introduces a Lagrange-multiplier which renders the equation nonlocal and nonlinear. In this paper we…

Analysis of PDEs · Mathematics 2018-11-28 Simon Eberle , Barbara Niethammer , André Schlichting

This paper presents a conditional convergence result of solutions to the Allen--Cahn equation with arbitrary potentials to a De Giorgi type $ \mathrm{BV} $-solution to multiphase mean curvature flow. Moreover we show that De Giorgi type…

Analysis of PDEs · Mathematics 2023-01-31 Pascal Steinke

The conformal flow of metrics [2] has been used to successfully establish a special case of the Penrose inequality, which yields a lower bound for the total mass of a spacetime in terms of horizon area. Here we show how to adapt the…

General Relativity and Quantum Cosmology · Physics 2018-06-28 Qing Han , Marcus Khuri

We develop the notion of Brakke flow with free-boundary in a barrier surface. Unlike the classical free-boundary mean curvature flow, the free-boundary Brakke flow must "pop" upon tangential contact with the barrier. We prove a compactness…

Differential Geometry · Mathematics 2017-11-17 Nick Edelen

We present a convergence result for solutions of the vector-valued Allen-Cahn Equation. In the spirit of the work of Luckhaus and Sturzenhecker we establish convergence towards a distributional formulation of multi-phase mean-curvature flow…

Analysis of PDEs · Mathematics 2016-09-26 Tim Laux , Thilo Simon

We provide a probabilistic proof of a well known connection between a special case of the Allen-Cahn equation and mean curvature flow. We then prove a corresponding result for scaling limits of the spatial $\Lambda$-Fleming-Viot process…

Probability · Mathematics 2016-07-27 Alison Etheridge , Nic Freeman , Sarah Penington

This paper studies the intermediate time behaviour of a small random perturbation of a periodic cellular flow. Our main result shows that on time scales shorter than the diffusive time scale, the limiting behaviour of trajectories that…

Probability · Mathematics 2016-09-09 Martin Hairer , Gautam Iyer , Leonid Koralov , Alexei Novikov , Zsolt Pajor-Gyulai

We consider the non-isothermal flow of a compressible fluid through pipes. Starting from the full set of Euler equations, we propose a variational characterization of solutions that encodes the conservation of mass, energy, and entropy in a…

Numerical Analysis · Mathematics 2016-11-11 Herbert Egger

We study the Allen-Cahn equation with respect to a transport term in a bounded domain. We prove that the limit interface is the mean curvature flow with the transport term, given the condition that the energy is uniformly bounded with…

Analysis of PDEs · Mathematics 2023-09-19 Yuki Tsukamoto

We show that finite element discretizations of incompressible flow problems can be designed to ensure preservation/dissipation of kinetic energy not only globally but also locally. In the context of equal-order (piecewise-linear)…

Numerical Analysis · Mathematics 2024-10-10 Hennes Hajduk , Dmitri Kuzmin , Gert Lube , Philipp Öffner

We present a method for conditional sampling for pre-trained normalizing flows when only part of an observation is available. We derive a lower bound to the conditioning variable log-probability using Schur complement properties in the…

Machine Learning · Statistics 2021-10-18 Vincent Moens , Aivar Sootla , Haitham Bou Ammar , Jun Wang