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

机译:随机矩阵理论,特殊李群和L-函数

摘要

There has recently been interest in relating properties of matrices drawn atrandom from the classical compact groups to statistical characteristics ofnumber-theoretical L-functions. One example is the relationship conjectured tohold between the value distributions of the characteristic polynomials of suchmatrices and value distributions within families of L-functions. Theseconnections are here extended to non-classical groups. We focus on an explicitexample: the exceptional Lie group G_2. The value distributions forcharacteristic polynomials associated with the 7- and 14-dimensionalrepresentations of G_2, defined with respect to the uniform invariant (Haar)measure, are calculated using two of the Macdonald constant term identities. Aone parameter family of L-functions over a finite field is described whosevalue distribution in the limit as the size of the finite field grows isrelated to that of the characteristic polynomials associated with the7-dimensional representation of G_2. The random matrix calculations extend toall exceptional Lie groups
机译:最近,人们开始关注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。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。使用一致的不变性(Haar)度量定义的与G_2的7维和14维表示相关的特征多项式的值分布,是使用两个Macdonald常数项恒等式来计算的。描述了一个有限域上的L函数的参数族,其随着有限域大小的增长在极限中的值分布与与G_2的7维表示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李群

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