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Spectral form factor in a random matrix theory

机译:随机矩阵理论中的频谱形状因数

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In the theory of disordered systems the spectral form factor S(tau), the Fourier transform of the two-level correlation function with respect to the difference of energies, is linear for tautau(c). Near zero and near tau(c) it exhibits oscillations which have been discussed in several recent papers. In problems of mesoscopic fluctuations and quantum chaos a comparison is often made with a random matrix theory. It turns out that, even in the simplest Gaussian unitary ensemble, these oscillations have not yet been studied there. For random matrices, the two-level correlation function rho(lambda(1),lambda(2)) exhibits several well-known universal properties in the large-N Limit. Its Fourier transform is linear as a consequence of the short-distance universality of rho(lambda(1),lambda(2)) However the crossover near zero and tau(c) requires one to study these correlations for finite N. For this purpose we use an exact contour-integral representation of the two-level correlation function which allows us to characterize these crossover oscillatory properties. This representation is then extended to the case in which the Hamiltonian is the sum of a deterministic part H-0 and of a Gaussian random potential V. Finally, we consider the extension to the time-dependent case.
机译:在无序系统理论中,频谱形式因子S(tau)是关于能量差的两级相关函数的傅立叶变换,对于tau tau(c)是常数)。接近零和接近tau(c)时,会显示出振荡现象,最近的几篇论文对此进行了讨论。在介观涨落和量子混沌的问题中,经常用随机矩阵理论进行比较。结果表明,即使在最简单的高斯us合奏中,也没有在那里研究这些振荡。对于随机矩阵,两级相关函数rho(lambda(1),lambda(2))在大N极限中表现出几个众所周知的通用属性。由于rho(lambda(1),lambda(2))的短距离通用性,其傅里叶变换是线性的。但是,接近零和tau(c)的分叉需要研究有限N的相关性。我们使用两级相关函数的精确轮廓积分表示,这使我们能够表征这些交叉振荡特性。然后将此表示形式扩展到哈密顿量是确定性部分H-0与高斯随机势V之和的情况。最后,我们考虑将其扩展到时间相关的情况。

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