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Random matrix theory, the exceptional Lie groups and L-functions

机译:随机矩阵理论,特殊的李群和L函数

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There has recently been interest in relating properties of matrices drawn at random from the classical compact groups to statistical characteristics of number-theoretical L-functions. One example is the relationship conjectured to hold between the value distributions of the characteristic polynomials of such matrices and value distributions within families of L-functions. These connections are extended here to non-classical groups. We focus on an explicit example: the exceptional Lie group G(2). The value distributions for characteristic polynomials associated with the 7- and 14-dimensional representations of G(2), defined with respect to the uniform invariant (Haar) measure, are calculated using two of the Macdonald constant term identities. A one-parameter family of L-functions over a finite field is described whose value distribution in the limit as the size of the finite field grows is related to that of the characteristic polynomials associated with the seven-dimensional representation of G(2). The random matrix calculations extend to all exceptional Lie groups. [References: 29]
机译:最近,人们对将从经典紧致群中随机抽取的矩阵的性质与数论L函数的统计特征相关联感兴趣。一个例子是这种矩阵的特征多项式的值分布与L函数族内的值分布之间的关系推测。这些连接在这里扩展到非经典组。我们关注一个明确的例子:例外的李群G(2)。使用Macdonald常数项中的两个恒等式来计算与G(2)的7维和14维表示形式相关的特征多项式的值分布(针对统一不变式(Haar)度量)。描述了一个在有​​限域上的L函数的单参数族,随着有限域的大小增长,其在极限中的值分布与与G(2)的七维表示形式相关的特征多项式的值分布有关。随机矩阵计算扩展到所有例外的Lie组。 [参考:29]

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