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arXiv math-ph/0103012math-phmath.MP
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实对称随机矩阵的特征多项式

Characteristic polynomials of real symmetric random matrices

E. Brezin, S. Hikami

摘要:

证明了随机变量$\det(λ- X)$(其中$X$是实对称$ N\times N$)的关联函数在大$N$极限下具有普适的局部统计量.推导依赖于一个确切的对偶表示的问题:$k$点函数表示在(四元数)$k\times k$矩阵的有限积分。然而,戴森极限的控制,其中的各种参数$\la$的距离是平均间距的顺序,需要在辛群的积分。结果表明,推广的Itzykson-Zuber方法适用于这个问题,但相反的酉情况下,半经典的结果需要一个{ \it有限}数量的校正是准确的。我们还考虑了与随机矩阵耦合的外部矩阵源问题,得到了显式积分公式,这对于分析大$N$极限是有用的。

英文摘要:

It is shown that the correlation functions of the random variables $\det(λ- X)$, in which $X$ is a real symmetric $ N\times N$ random matrix, exhibit universal local statistics in the large $N$ limit. The derivation relies on an exact dual representation of the problem: the $k$-point functions are expressed in terms of finite integrals over (quaternionic) $k\times k$ matrices. However the control of the Dyson limit, in which the distance of the various parameters $\la$'s is of the order of the mean spacing, requires an integration over the symplectic group. It is shown that a generalization of the Itzykson-Zuber method holds for this problem, but contrary to the unitary case, the semi-classical result requires a {\it finite} number of corrections to be exact. We have also considered the problem of an external matrix source coupled to the random matrix, and obtain explicit integral formulae, which are useful for the analysis of the large $N$ limit.

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