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arXiv 0708.0176quant-phcond-mat.stat-mechnlin.CD
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复随机态和量子混沌态的极值统计

Extreme statistics of complex random and quantum chaotic states

Arul Lakshminarayan, Steven Tomsovic, Oriol Bohigas, Satya N. Majumdar

摘要:

导出了复杂随机状态下极端强度统计的精确解析描述。这些状态具有随机矩阵理论的高斯和圆酉包络本征态的统计特性。尽管分量通过归一化约束相关,但是仍然可以导出针对维度N的所有值的紧凑公式。最大强度结果缓慢地接近Gumbel分布,即使变量是有界的,而最小强度结果迅速接近威布尔分布。由于随机矩阵理论被证明适用于混沌量子系统,我们计算了标准映射的极端本征函数统计,在该参数下,其经典映射是完全混沌的。统计行为与有限N公式一致。

英文摘要:

An exact analytical description of extreme intensity statistics in complex random states is derived. These states have the statistical properties of the Gaussian and Circular Unitary Ensemble eigenstates of random matrix theory. Although the components are correlated by the normalization constraint, it is still possible to derive compact formulae for all values of the dimensionality N. The maximum intensity result slowly approaches the Gumbel distribution even though the variables are bounded, whereas the minimum intensity result rapidly approaches the Weibull distribution. Since random matrix theory is conjectured to be applicable to chaotic quantum systems, we calculate the extreme eigenfunction statistics for the standard map with parameters at which its classical map is fully chaotic. The statistical behaviors are consistent with the finite-N formulae.

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