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arXiv 2103.07243math.PR
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一般初始条件下二维随机heat equation和KPZ方程在亚临界区的涨落

Fluctuations of two-dimensional stochastic heat equation and KPZ equation in subcritical regime for general initial conditions

Shuta Nakajima, Makoto Nakashima

摘要:

利用Cole-Hopf变换$h=\log u$形式化求解Kardar-Parisi-Zhang方程(KPZ方程),其中$h=\log u$是乘性随机热方程(SHE)的解.在Chatterjee和Dunlap、Caravenna、Sun和Zyeras以及Gu的早期工作中,他们考虑了二维KPZ方程的解,通过具有平坦初始条件和具有噪声的SHE的解$u_\varepsilon$,该解在$\varepsilon$中在空间尺度上被软化并且其强度被减弱为$β_\varepsilon=\hatβ \sqrt{\frac{2π\varepsilon}{-\log \varepsilon}}$,并且他们证明了当$\hatβ\in (0,1)$时,$\frac{1}{β_\varepsilon}(\log u_\varepsilon-\mathbb{E}[\log u_\varepsilon])$在分布上收敛于作为随机场的Edward-Wilkinson模型的解。本文考虑了具有一般初始条件$u_0$的随机热方程$u_\varepsilon$及其在一类函数$\mathfrak{F}$中对$F$的变换$F(u_\varepsilon)$,其中包含$F(x)=x^p$($0<p\leq 1$)和$F(x)=\log x$ .然后,我们证明了$\frac{1}{β_\varepsilon}(F(u_\varepsilon(t,x))-\mathbb{E}[F(u_\varepsilon(t,x))])$的分布收敛于高斯随机变量联合在许多$F\in \mathfrak{F}$,$t$,和$u_0$。特别地,我们得到了随机热方程和KPZ方程解的涨落联合收敛于依赖于PDMATHAMT的随机偏微分方程解。我们的主要工具是伊藤公式,鞅中心极限定理,和均匀化的论点,在工程中远和作者。为此,我们还证明了中间PDMATHAND定向聚合物配分函数的局部极限定理

英文摘要:

The solution of Kardar-Parisi-Zhang equation (KPZ equation) is solved formally via Cole-Hopf transformation $h=\log u$, where $u$ is the solution of multiplicative stochastic heat equation(SHE). In earlier works by Chatterjee and Dunlap, Caravenna, Sun, and Zygouras, and Gu, they consider the solution of two dimensional KPZ equation via the solution $u_\varepsilon$ of SHE with flat initial condition and with noise which is mollified in space on scale in $\varepsilon$ and its strength is weakened as $β_\varepsilon=\hatβ \sqrt{\frac{2π\varepsilon}{-\log \varepsilon}}$, and they prove that when $\hatβ\in (0,1)$, $\frac{1}{β_\varepsilon}(\log u_\varepsilon-\mathbb{E}[\log u_\varepsilon])$ converges in distribution to a solution of Edward-Wilkinson model as a random field. In this paper, we consider a stochastic heat equation $u_\varepsilon$ with general initial condition $u_0$ and its transformation $F(u_\varepsilon)$ for $F$ in a class of functions $\mathfrak{F}$, which contains $F(x)=x^p$ ($0<p\leq 1$) and $F(x)=\log x$. Then, we prove that $\frac{1}{β_\varepsilon}(F(u_\varepsilon(t,x))-\mathbb{E}[F(u_\varepsilon(t,x))])$ converges in distribution to Gaussian random variables jointly in finitely many $F\in \mathfrak{F}$, $t$, and $u_0$. In particular, we obtain the fluctuations of solutions of stochastic heat equations and KPZ equations jointly converge to solutions of SPDEs which depends on $u_0$. Our main tools are Itô's formula, the martingale central limit theorem, and the homogenization argument as in the works by Cosco and the authors. To this end, we also prove the local limit theorem for the partition function of intermediate $2d$-directed polymers

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