Universality of slow decorrelation in KPZ growth

IF 1.6 2区 数学 Q2 STATISTICS & PROBABILITY Annales De L Institut Henri Poincare-probabilites Et Statistiques Pub Date : 2010-01-29 DOI:10.1214/11-AIHP440
Ivan Corwin, P. Ferrari, S. Péché
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引用次数: 61

Abstract

There has been much success in describing the limiting spatial fluctuations of growth models in the Kardar-Parisi-Zhang (KPZ) universality class. A proper rescaling of time should introduce a non-trivial temporal dimension to these limiting fluctuations. In one-dimension, the KPZ class has the dynamical scaling exponent $z=3/2$, that means one should find a universal space-time limiting process under the scaling of time as $t\,T$, space like $t^{2/3} X$ and fluctuations like $t^{1/3}$ as $t\to\infty$. In this paper we provide evidence for this belief. We prove that under certain hypotheses, growth models display temporal slow decorrelation. That is to say that in the scalings above, the limiting spatial process for times $t\, T$ and $t\, T+t^{\nu}$ are identical, for any $\nu<1$. The hypotheses are known to be satisfied for certain last passage percolation models, the polynuclear growth model, and the totally / partially asymmetric simple exclusion process. Using slow decorrelation we may extend known fluctuation limit results to space-time regions where correlation functions are unknown. The approach we develop requires the minimal expected hypotheses for slow decorrelation to hold and provides a simple and intuitive proof which applied to a wide variety of models.
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KPZ生长缓慢去相关的普遍性
在kardar - paris - zhang (KPZ)普适类中描述增长模型的极限空间波动已经取得了很大的成功。对时间进行适当的重新标度,应该为这些极限波动引入一个重要的时间维度。在一维情况下,KPZ类具有动态标度指数 $z=3/2$,这意味着我们应该在时间尺度下找到一个普遍的时空限制过程 $t\,T$,类空间的 $t^{2/3} X$ 波动就像 $t^{1/3}$ as $t\to\infty$. 在本文中,我们为这一信念提供了证据。我们证明了在一定的假设下,增长模型表现出时间上的缓慢去相关。也就是说,在上面的缩放中,时间的极限空间过程 $t\, T$ 和 $t\, T+t^{\nu}$ 都是一样的吗 $\nu<1$. 已知这些假设在某些最后通道渗流模型、多核生长模型和完全/部分不对称简单排斥过程中被满足。利用慢解相关,我们可以将已知的涨落极限结果推广到相关函数未知的时空区域。我们开发的方法需要最小的期望假设来保持缓慢去相关,并提供了一个简单直观的证明,适用于各种各样的模型。
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
85
审稿时长
6-12 weeks
期刊介绍: The Probability and Statistics section of the Annales de l’Institut Henri Poincaré is an international journal which publishes high quality research papers. The journal deals with all aspects of modern probability theory and mathematical statistics, as well as with their applications.
期刊最新文献
Limit distributions of branching Markov chains Tightness of discrete Gibbsian line ensembles with exponential interaction Hamiltonians Functional CLT for non-Hermitian random matrices Reflecting Brownian motion in generalized parabolic domains: Explosion and superdiffusivity From the asymmetric simple exclusion processes to the stationary measures of the KPZ fixed point on an interval
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