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arXiv 0811.2304math.NT
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椭圆曲线L函数一级密度的低阶项

Lower Order Terms for the One-Level Density of Elliptic Curve L-Functions

D. K. Huynh, J. P. Keating, N. C. Snaith

摘要:

我们认为,在导体趋于无穷大的极限下,族内平均的椭圆曲线$L$ -函数的零点之间的相关性遵循从正交群中抽取的随机矩阵的特征值的分布规律。对于检验函数与限制支持,这是已知的是真正的一级和二级密度的零内的家庭研究的日期。然而,对于有限导体,米勒的实验数据揭示了与这些限制结果的有趣差异。本文利用L函数的比值图计算了有限大导体中椭圆曲线L函数偶二次扭转族的一能级密度。这给出了一个公式的领导和较低的订单项,直到一个错误的条款,这是被证明是显着较小。低阶项解释了相对较小导体的零统计的许多特征,并模拟了向无限导体极限的非常缓慢的收敛。然而,我们的主要观察是,他们不捕捉的行为非常接近临界点的重要区域的零,所以不解释米勒的差异。因此,这意味着需要为接近这一点的统计数据开发一个更准确的模型。

英文摘要:

It is believed that, in the limit as the conductor tends to infinity, correlations between the zeros of elliptic curve $L$-functions averaged within families follow the distribution laws of the eigenvalues of random matrices drawn from the orthogonal group. For test functions with restricted support, this is known to be the true for the one- and two-level densities of zeros within the families studied to date. However, for finite conductor Miller's experimental data reveal an interesting discrepancy from these limiting results. Here we use the L-functions ratios conjectures to calculate the 1-level density for the family of even quadratic twists of an elliptic curve L-function for large but finite conductor. This gives a formula for the leading and lower order terms up to an error term that is conjectured to be significantly smaller. The lower order terms explain many of the features of the zero statistics for relatively small conductor and model the very slow convergence to the infinite conductor limit. However, our main observation is that they do not capture the behaviour of zeros in the important region very close to the critical point and so do not explain Miller's discrepancy. This therefore implies that a more accurate model for statistics near to this point needs to be developed.

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