A flow‐type scaling limit for random growth with memory

IF 3.1 1区 数学 Q1 MATHEMATICS
Amir Dembo, Kevin Yang
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引用次数: 0

Abstract

We study a stochastic Laplacian growth model, where a set grows according to a reflecting Brownian motion in stopped at level sets of its boundary local time. We derive a scaling limit for the leading‐order behavior of the growing boundary (i.e., “interface”). It is given by a geometric flow‐type pde. It is obtained by an averaging principle for the reflecting Brownian motion. We also show that this geometric flow‐type pde is locally well‐posed, and its blow‐up times correspond to changes in the diffeomorphism class of the growth model. Our results extend those of Dembo et al., which restricts to star‐shaped growth domains and radially outwards growth, so that in polar coordinates, the geometric flow transforms into a simple ode with infinite lifetime. Also, we remove the “separation of scales” assumption that was taken in Dembo et al.; this forces us to understand the local geometry of the growing interface.
内存随机增长的流型缩放限制
我们研究了一个随机拉普拉斯增长模型,其中一个集合在其边界局部时间的水平集中根据反映布朗运动生长。我们导出了增长边界(即“界面”)的导阶行为的缩放极限。它是由一个几何流型方程给出的。它是由反射布朗运动的平均原理得到的。我们还证明了这种几何流型方程是局部适定的,它的爆破时间对应于增长模型的微分同态类的变化。我们的结果扩展了Dembo等人的结果,该结果限制了星形生长域和径向向外生长,因此在极坐标下,几何流转化为具有无限寿命的简单代码。此外,我们删除了Dembo等人采用的“尺度分离”假设;这迫使我们理解生长界面的局部几何形状。
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来源期刊
CiteScore
6.70
自引率
3.30%
发文量
59
审稿时长
>12 weeks
期刊介绍: Communications on Pure and Applied Mathematics (ISSN 0010-3640) is published monthly, one volume per year, by John Wiley & Sons, Inc. © 2019. The journal primarily publishes papers originating at or solicited by the Courant Institute of Mathematical Sciences. It features recent developments in applied mathematics, mathematical physics, and mathematical analysis. The topics include partial differential equations, computer science, and applied mathematics. CPAM is devoted to mathematical contributions to the sciences; both theoretical and applied papers, of original or expository type, are included.
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