On the Central Limit Theorem for linear eigenvalue statistics on random surfaces of large genus

Zeév Rudnick, Igor Wigman
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Abstract

We study the fluctuations of smooth linear statistics of Laplace eigenvalues of compact hyperbolic surfaces lying in short energy windows, when averaged over the moduli space of surfaces of a given genus. The average is taken with respect to the Weil–Petersson measure. We show that first taking the large genus limit, then a short window limit, the distribution tends to a Gaussian. The variance was recently shown to be given by the corresponding quantity for the Gaussian Orthogonal Ensemble (GOE), and the Gaussian fluctuations are also consistent with those in Random Matrix Theory, as conjectured in the physics literature for a fixed surface.

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论大属随机曲面上线性特征值统计的中心极限定理
我们研究了紧凑双曲面的拉普拉斯特征值在短能量窗内的平滑线性统计波动。平均值取自魏尔-彼得森量纲。我们证明,首先取大属极限,然后取短窗口极限,分布趋于高斯分布。最近的研究表明,方差由高斯正交集合(GOE)的相应量给出,高斯波动也与随机矩阵理论中的波动一致,正如物理学文献中对固定曲面的猜想。
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