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arXiv 1903.04785math.PRmath.AP
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随机图的中曲率流的鞅解的存在性和大时间性态

Existence of martingale solutions and large-time behavior for a stochastic mean curvature flow of graphs

Nils Dabrock, Martina Hofmanová, Matthias Röger

摘要:

研究任意空间维的周期区域上图的随机中曲率流。我们建立了强偏微分方程意义下的鞅解的存在性,并研究了它们的大时间行为。我们的分析是基于粘性近似和新的全球范围内,即,$L^{\infty}_{ω,x,t}$估计的梯度和$L^{2}_{ω,x,t}$界的海森。该证明利用了确定性中曲率部分和随机扰动之间的微妙的相互作用,从而证明了某些依赖于梯度的能量是上鞅。我们的能量界特别意味着解决方案成为渐近空间齐次和方法的布朗运动扰动的随机常数。

英文摘要:

We are concerned with a stochastic mean curvature flow of graphs over a periodic domain of any space dimension. We establish existence of martingale solutions which are strong in the PDE sense and study their large-time behavior. Our analysis is based on a viscous approximation and new global bounds, namely, an $L^{\infty}_{ω,x,t}$ estimate for the gradient and an $L^{2}_{ω,x,t}$ bound for the Hessian. The proof makes essential use of the delicate interplay between the deterministic mean curvature part and the stochastic perturbation, which permits to show that certain gradient-dependent energies are supermartingales. Our energy bounds in particular imply that solutions become asymptotically spatially homogeneous and approach a Brownian motion perturbed by a random constant.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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