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arXiv 2402.06641math.NT
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一类尖点形式的随机矩阵模型综述

A Survey of a Random Matrix Model for a Family of Cusp Forms

Owen Barrett, Zoë X. Batterman, Aditya Jambhale, Steven J. Miller, Akash L. Narayanan, Kishan Sharma, Chris Yao

AI总结:

本文综述了尖点形式的随机矩阵模型,介绍Katz-Sarnak哲学及有限导子下的偏差,阐述切除模型的核心机制,并汇报其推广至奇素数级全纯尖点新形式二次扭转族的进展与相关预测。

摘要:

Katz-Sarnak哲学指出,当导子趋于无穷时,L函数族零点在中心点附近的统计特性与随机矩阵系综的特征值在矩阵规模趋于无穷时的统计特性一致。尽管大量结果支持这一猜想,但S. J. Miller观察到,对于有限导子,椭圆曲线族中中心点附近的零点会呈现出截然不同的行为。这催生了Dueñez、Huynh、Keating、Miller和Snaith提出的切除模型(excised model),该模型对给定椭圆曲线的二次扭转的预测与数据完美吻合。该模型的核心要素是将L函数中心值的离散化与基于特征多项式在1处的值对矩阵进行切除相关联,并利用(单能级密度、对关联等统计量中的)低阶项来调整矩阵规模。我们讨论了作者们近期在将该模型推广到一类具有奇素数级的给定全纯尖点新形式的有限导子二次扭转族方面取得的进展。特别地,我们预测权重大于2的形式几乎不存在排斥效应。

英文摘要:

The Katz-Sarnak philosophy states that statistics of zeros of $L$-function families near the central point as the conductors tend to infinity agree with those of eigenvalues of random matrix ensembles as the matrix size tends to infinity. While numerous results support this conjecture, S. J. Miller observed that for finite conductors, very different behavior can occur for zeros near the central point in elliptic curve families. This led to the excised model of Dueñez, Huynh, Keating, Miller, and Snaith, whose predictions for quadratic twists of a given elliptic curve are beautifully fit by the data. The key ingredients are relating the discretization of central values of the $L$-functions to excising matrices based on the value of the characteristic polynomials at 1 and using lower order terms (in statistics such as the one-level density and pair-correlation) to adjust the matrix size. We discuss recent successes by the authors in extending this model to a family of quadratic twists of finite conductor of a given holomorphic cuspidal newform of level an odd prime level. In particular, we predict very little repulsion for forms with weight greater than 2.

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