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首页> 外文期刊>Journal of Physics, A. Mathematical and General: A Europhysics Journal >Parametric spectral statistics in unitary random matrix ensembles: from distribution functions to intra-level correlations
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Parametric spectral statistics in unitary random matrix ensembles: from distribution functions to intra-level correlations

机译:ary随机矩阵集合中的参数频谱统计:从分布函数到层内相关

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We establish a general framework to explore parametric statistics of individual energy levels in unitary random matrix ensembles. For a generic confinement potential Tr W(H), we (i) find the joint distribution functions of the eigenvalues of H and H' = H + V for an arbitrary fixed V both for finite matrix size N and in the 'thermodynamic' N --> infinity limit; (ii) derive many-point parametric correlation functions of the two sets of eigenvalues and show that they are naturally parametrized by the eigenvalues of the reactance matrix for scattering off the 'potential' V; (iii) prove the universality of the correlation functions in unitary ensembles with non-Gaussian non-invariant confinement potential Tr W(H - V); (iv) establish a general scheme for exact calculation of level-number-dependent parametric correlation functions and apply the scheme to the calculation of intra-level velocity autocorrelation function and the distribution of parametric level shifts. [References: 35]
机译:我们建立了一个总体框架,以探索单一随机矩阵集合中单个能级的参数统计。对于一般的约束势Tr W(H),我们(i)对于矩阵尺寸N和热力学N的任意固定V,求H和H'= H + V的特征值的联合分布函数->无限极限; (ii)推导两组特征值的多点参数相关函数,并证明它们自然地被电抗矩阵的特征值参数化,以散射出“势” V; (iii)证明具有非高斯非不变约束势Tr W(H-V)的整体集合中相关函数的普遍性; (iv)建立用于精确计算与水平数相关的参数相关函数的通用方案,并将该方案应用于层内速度自相关函数的计算和参数水平位移的分布。 [参考:35]

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