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arXiv 2208.02492math.PRcond-mat.stat-mechmath-phmath.MP
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一维KPZ方程的不变原理

An invariance principle for the 1D KPZ equation

Arka Adhikari, Sourav Chatterjee

AI总结:

本文证明在适当缩放下,一类满足等变、对称且光滑的离散随机表面模型收敛于1D KPZ方程的Cole-Hopf解,建立类似Donsker定理的不变原理。

摘要:

考虑一个离散的一维随机表面,其某一点的高度是相邻点高度的函数再加上独立的随机噪声。假设该函数在常数平移下是等变的,关于其自变量是对称的,并且在原点邻域内至少六次连续可微,我们证明当噪声方差趋于零时,在适当的空间和时间尺度下,任何这样的过程都收敛到一维KPZ方程的Cole-Hopf解。这证明了一维KPZ方程的不变原理,其精神类似于布朗运动的Donsker不变原理。

英文摘要:

Consider a discrete one-dimensional random surface whose height at a point grows as a function of the heights at neighboring points plus an independent random noise. Assuming that this function is equivariant under constant shifts, symmetric in its arguments, and at least six times continuously differentiable in a neighborhood of the origin, we show that as the variance of the noise goes to zero, any such process converges to the Cole-Hopf solution of the 1D KPZ equation under a suitable scaling of space and time. This proves an invariance principle for the 1D KPZ equation, in the spirit of Donsker's invariance principle for Brownian motion.

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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