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首页> 外文期刊>Journal of Physics, A. Mathematical and General: A Europhysics Journal >Derivatives of random matrix characteristic polynomials with applications to elliptic curves
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Derivatives of random matrix characteristic polynomials with applications to elliptic curves

机译:随机矩阵特征多项式的导数及其在椭圆曲线上的应用

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摘要

The value distribution of derivatives of characteristic polynomials of matrices from SO(N) is calculated at the point 1, the symmetry point on the unit circle of the eigenvalues of these matrices. We consider subsets of matrices from SO(N) that are constrained to have at least n eigenvalues equal to 1 and investigate the first non-zero derivative of the characteristic polynomial at that point. The connection between the values of random matrix characteristic polynomials and values of L-functions in families has been well established. The motivation for this work is the expectation that through this connection with L-functions derived from families of elliptic curves, and using the Birch and Swinnerton-Dyer conjecture to relate values of the L-functions to the rank of elliptic curves, random matrix theory will be useful in probing important questions concerning these ranks.
机译:在点1(这些矩阵特征值的单位圆上的对称点)上计算矩阵的特征多项式从SO(N)的导数的值分布。我们考虑来自SO(N)的矩阵子集,这些子集被约束为至少具有等于1的n个特征值,并研究此时特征多项式的一阶非零导数。随机矩阵特征多项式的值与族中L函数的值之间的联系已得到很好的建立。进行这项工作的动机是期望通过与椭圆曲线族派生的L函数的这种联系,并使用Birch和Swinnerton-Dyer猜想将L函数的值与椭圆曲线的等级相关联,采用随机矩阵理论在探讨有关这些职级的重要问题时将很有用。

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