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arXiv 1208.2095cond-mat.stat-mech
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起伏界面的谱密度标度

Spectral Density Scaling of Fluctuating Interfaces

Hyun-Joo Kim, Doil Jung

摘要:

在随机矩阵理论的框架下,研究了生长自仿射曲面在稳态下测得的高度相对于平均高度的协方差矩阵。我们发现,谱密度的协方差矩阵的尺度为$ρ(λ) \sim λ^{-ν}$偏离随机矩阵理论的预测,并有一个缩放形式,$ρ(λ, L) = λ^{-ν} f(λ/ L^ϕ)$的横向系统大小$L$,其中的缩放函数$f(x)$接近一个常数为$x \ll 1$和零为$x \gg 1$。数值模拟得到的指数值分别为:Edward-Wilkinson类的$ν\approx 1.73$和$ϕ\approx 1.40$,Kardar-Parisi-Zhang类的$ν\approx 1.64$和$ϕ\approx 1.79$.最大特征值的分布遵循比例形式为$ρ(λ_{max}, L) = 1/L^b f_{max} ((λ_{max} -L^a)/L^b)$,这与随机矩阵理论的Tracy-Widom分布不同,而指数$a$和$b$对于两个不同的类由相同的值给出。

英文摘要:

Covariance matrix of heights measured relative to the average height of a growing self-affine surface in the steady state are investigated in the framework of random matrix theory. We show that the spectral density of the covariance matrix scales as $ρ(λ) \sim λ^{-ν}$ deviating from the prediction of random matrix theory and has a scaling form, $ρ(λ, L) = λ^{-ν} f(λ/ L^ϕ)$ for the lateral system size $L$, where the scaling function $f(x)$ approaches a constant for $x \ll 1$ and zero for $x \gg 1$. The obtained values of exponents by numerical simulations are $ν\approx 1.73$ and $ϕ\approx 1.40$ for the Edward-Wilkinson class and $ν\approx 1.64$ and $ϕ\approx 1.79$ for the Kardar-Parisi-Zhang class, respectively. The distribution of the largest eigenvalues follows a scaling form as $ρ(λ_{max}, L) = 1/L^b f_{max} ((λ_{max} -L^a)/L^b)$, which is different from the Tracy-Widom distribution of random matrix theory while the exponents $a$ and $b$ are given by the same values for the two different classes.

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