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Low-lying Zeros of Quadratic Dirichlet L-Functions, Hyper-elliptic Curves and Random Matrix Theory

机译:二次Dirichlet L函数,超椭圆曲线和随机矩阵理论的低位零点

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摘要

The statistics of low-lying zeros of quadratic Dirichlet L-functions were conjectured by Katz and Sarnak to be given by the scaling limit of eigenvalues from the unitary symplectic ensemble. The n-level densities were found to be in agreement with this in a certain neighborhood of the origin in the Fourier domain by Rubinstein in his Ph.D. thesis in 1998. An attempt to extend the neighborhood was made in the Ph.D. thesis of Peng Gao (n-level density of the low-lying zeros of quadratic Dirichlet L-functions, 2005), who under GRH gave the density as a complicated combinatorial factor, but it remained open whether it coincides with the Random Matrix Theory factor. For n ≤ 7 this was recently confirmed by Levinson and Miller. We resolve this problem for all n, not by directly doing the combinatorics, but by passing to a function field analogue, of L-functions associated to hyper-elliptic curves of given genus g over a field of q elements. We show that the answer in this case coincides with Gao's combinatorial factor up to a controlled error. We then take the limit of large finite field size q → ∞ and use the Katz-Sarnak equidistribution theorem, which identifies the monodromy of the Frobenius conjugacy classes for the hyperelliptic ensemble with the group USp(2g). Further taking the limit of large genus g → ∞ allows us to identify Gao's combinatorial factor with the RMT answer.
机译:Katz和Sarnak推测二次Dirichlet L函数的低位零点的统计量由一元辛集合的特征值的标度极限给出。鲁宾斯坦在其博士论文中发现,在傅立叶域中原点的某个邻域中,n级密度与此一致。博士学位论文是在1998年提出的。彭高的论文(二次Dirichlet L函数的低位零点的n级密度,2005年),他在GRH下给出了密度作为复杂的组合因子,但是否与随机矩阵理论因子一致仍然是开放的。对于n≤7,最近Levinson和Miller证实了这一点。我们针对所有n个问题解决了这个问题,而不是直接进行组合,而是通过将与给定属g的超椭圆曲线在q个元素上的超椭圆曲线相关的L函数传递给函数域类似物来解决。我们表明,在这种情况下,答案与高的组合因子一致,直至受控误差。然后,我们取大有限域大小q→∞的极限,并使用Katz-Sarnak等分布定理,该定理确定了USp(2g)群的超椭圆形合奏的Frobenius共轭类的单峰。进一步取大类g→∞的极限,使我们能够用RMT答案识别高的组合因子。

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