Moments of traces of random symplectic matrices and hyperelliptic $L$-functions

Alexei Entin, Noam Pirani
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Abstract

We study matrix integrals of the form $$\int_{\mathrm{USp(2n)}}\prod_{j=1}^k\mathrm{tr}(U^j)^{a_j}\mathrm d U,$$ where $a_1,\ldots,a_r$ are natural numbers and integration is with respect to the Haar probability measure. We obtain a compact formula (the number of terms depends only on $\sum a_j$ and not on $n,k$) for the above integral in the non-Gaussian range $\sum_{j=1}^kja_j\le 4n+1$. This extends results of Diaconis-Shahshahani and Hughes-Rudnick who obtained a formula for the integral valid in the (Gaussian) range $\sum_{j=1}^kja_j\le n$ and $\sum_{j=1}^kja_j\le 2n+1$ respectively. We derive our formula using the connection between random symplectic matrices and hyperelliptic $L$-functions over finite fields, given by an equidistribution result of Katz and Sarnak, and an evaluation of a certain multiple character sum over the function field $\mathbb F_q(x)$. We apply our formula to study the linear statistics of eigenvalues of random unitary symplectic matrices in a narrow bandwidth sampling regime.
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随机交映矩阵和超椭圆 $L$ 函数的迹矩
我们研究了形式为$$\int_{mathrm{USp(2n)}}\prod_{j=1}^k\mathrm{tr}(U^j)^{a_j}\mathrm d U的矩阵积分,$$其中$a_1,\ldots,a_r$为自然数,积分是关于哈氏概率度量的。我们得到了上述积分在非高斯范围内 $\sum_{j=1}^kja_j\le 4n+1$ 的紧凑公式(项数只取决于 $\sum a_j$,而不取决于 $n,k$)。这是对迪亚科尼斯-沙沙哈尼(Diaconis-Shahshahani)和休斯-鲁德尼克(Hughes-Rudnick)结果的扩展,他们分别得到了(高斯)范围内 $\sum_{j=1}^kja_j\le n$ 和 $\sum_{j=1}^kja_j\le 2n+1$ 的积分无效公式。我们利用卡茨和萨尔纳克的等分布结果给出的有限域上随机交错矩阵与超椭圆 $L$ 函数之间的联系,以及对函数域 $\mathbb F_q(x)$ 上某些多重特征和的评估,推导出我们的公式。我们应用我们的公式来研究窄带宽采样机制下随机单元交映矩阵特征值的线性统计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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