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arXiv 0801.3026cond-mat.mes-hallcond-mat.stat-mech
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基于随机矩阵理论的混沌腔传输特征值密度和矩

Transmission Eigenvalue Densities and Moments in Chaotic Cavities from Random Matrix Theory

Pierpaolo Vivo, Edoardo Vivo

摘要:

本文指出,对于任意数量的输入和输出导线$(N_1,N_2)$,混沌腔中的传输本征值密度和高阶关联函数可以从随机矩阵理论的Jacobi系综中解析地得知。利用这个结果和一个简单的线性统计量,我们给出了$m>-|N_1-N_2|-1$和$β=2$的$<λ_1^m>$形式的矩的精确的和非微扰的表达式,从而改进了文献中已有的结果.其次,我们提供了一个独立的推导的平均密度和高阶关联函数的$β=2,4$不使用正交多项式技术。这个结果可能是相关的一个有效的数值实现,避免行列式。

英文摘要:

We point out that the transmission eigenvalue density and higher order correlation functions in chaotic cavities for an arbitrary number of incoming and outgoing leads $(N_1,N_2)$ are analytically known from the Jacobi ensemble of Random Matrix Theory. Using this result and a simple linear statistic, we give an exact and non-perturbative expression for moments of the form $<λ_1^m>$ for $m>-|N_1-N_2|-1$ and $β=2$, thus improving the existing results in the literature. Secondly, we offer an independent derivation of the average density and higher order correlation functions for $β=2,4$ which does not make use of the orthogonal polynomials technique. This result may be relevant for an efficient numerical implementation avoiding determinants.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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