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Related papers: Directed mean curvature flow in noisy environment

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McKean-Vlasov SDEs describe systems where the dynamics depend on the law of the process. The corresponding Fokker-Planck equation is a nonlinear, nonlocal PDE for the corresponding measure flow. In the presence of common noise and…

Probability · Mathematics 2025-07-24 Fabio Bugini , Peter K. Friz , Wilhelm Stannat

We consider a class of weakly asymmetric continuous microscopic growth models with polynomial smoothing mechanisms, general nonlinearities and a Poisson type noise. We show that they converge to the KPZ equation after proper rescaling and…

Probability · Mathematics 2024-09-11 Fanhao Kong , Haiyi Wang , Weijun Xu

The mean curvature flow is the gradient flow of volume functionals on the space of submanifolds. We prove a fundamental regularity result of the mean curvature flow in this paper: a Lipschitz submanifold with small local Lipschitz norm…

Differential Geometry · Mathematics 2007-05-23 Mu-Tao Wang

We prove a general theorem on the stochastic convergence of appropriately renormalized models arising from nonlinear stochastic PDEs. The theory of regularity structures gives a fairly automated framework for studying these problems but…

Probability · Mathematics 2018-01-23 Ajay Chandra , Martin Hairer

In this paper, we first study the behavior of inverse mean curvature flow in Schwarzschild manifold. We show that if the initial hypersurface $\Sigma$ is strictly mean convex and star-shaped, then the flow hypersurface $\Sigma_t$ converges…

Differential Geometry · Mathematics 2017-04-26 Haizhong Li , Yong Wei

We study an Allen-Cahn equation perturbed by a multiplicative stochastic noise which is white in time and correlated in space. Formally this equation approximates a stochastically forced mean curvature flow. We derive uniform energy bounds…

Analysis of PDEs · Mathematics 2016-06-02 Matthias Röger , Hendrik Weber

The celebrated De Giorgi-Nash-Moser theory ensures that solutions to uniformly elliptic or parabolic PDEs are bounded and H\"older continuous, even with merely bounded measurable coefficients. For parabolic SPDEs with transport noise,…

Probability · Mathematics 2025-11-18 Antonio Agresti , Max Sauerbrey , Mark Veraar

We consider the KPZ equation in one space dimension driven by a stationary centred space-time random field, which is sufficiently integrable and mixing, but not necessarily Gaussian. We show that, in the weakly asymmetric regime, the…

Probability · Mathematics 2016-10-21 Martin Hairer , Hao Shen

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 KPZ equation in space dimension 2 driven by space-time white noise. We showed in previous work that if the noise is mollified in space on scale $\epsilon$ and its strength is scaled as $\hat\beta / \sqrt{|\log \epsilon|}$,…

Probability · Mathematics 2019-07-03 Francesco Caravenna , Rongfeng Sun , Nikos Zygouras

In this paper, we study the skew mean curvature flow. The results are threefold. First, we prove the global regularity of solutions with initial data which are small perturbations of planes in Sobolev spaces. Second, we prove the modified…

Analysis of PDEs · Mathematics 2021-11-30 Ze Li

We consider a directed polymer model in dimension $1+1$, where the disorder is given by the occupation field of a Poisson system of independent random walks on $\mathbb Z$. In a suitable continuum and weak disorder limit, we show that the…

Probability · Mathematics 2021-04-20 Hao Shen , Jian Song , Rongfeng Sun , Lihu Xu

A variant of the Gauss curvature flow for closed and convex hypersurfaces is considered. We reveal that if the initial hypersurface is pinched enough, then this property is preserved. Furthermore, based on some structure assumptions on the…

Analysis of PDEs · Mathematics 2023-12-01 Jinrong Hu , Ping Zhang

In this paper, we investigate the mean curvature flow of compact surfaces in $4$-dimensional space forms. We prove the convergence theorems for the mean curvature flow under certain pinching conditions involving the normal curvature, which…

Differential Geometry · Mathematics 2020-04-30 Dong Pu , Jingjing Su , Hongwei Xu

We deal with the reduced four-equation model for the dynamics of heterogeneous compressible binary mixtures with the stiffened gas equations of state. We study its further reduced form, with the excluded volume concentrations, and with a…

Numerical Analysis · Mathematics 2025-12-30 A. Zlotnik , T. Lomonosov

We show that the directed landscape is a black noise in the sense of Tsirelson and Vershik. As a corollary, we show that for any microscopic system in which the height profile converges in law to the directed landscape, the driving noise is…

Probability · Mathematics 2025-04-08 Zoe Himwich , Shalin Parekh

We consider a particle system with a mean-field-type interaction perturbed by some common and individual noises. When the interacting kernels are sublinear and only locally Lipschitz-continuous, relying on arguments based on the tightness…

Probability · Mathematics 2020-07-27 Angelo Rosello

We give a construction allowing to construct local renormalised solutions to general quasilinear stochastic PDEs within the theory of regularity structures, thus greatly generalising the recent results of [BDH16,FG16,OW16]. Loosely…

Analysis of PDEs · Mathematics 2019-02-22 Máté Gerencsér , Martin Hairer

In this paper we prove uniform regularity estimates for the normalized Gauss curvature flow in higher dimensions. The convergence of solutions in $C^\infty$-topology to a smooth strictly convex soliton as $t$ approaches to infinity is…

Differential Geometry · Mathematics 2013-06-05 Pengfei Guan , Lei Ni

Motivated by the regularization by noise phenomenon for SDEs we prove existence and uniqueness of the flow of solutions for the non-Lipschitz stochastic heat equation $$\frac{\partial u}{\partial t}=\frac12\frac{\partial^2 u}{\partial z^2}…

Probability · Mathematics 2016-11-08 Oleg Butkovsky , Leonid Mytnik