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arXiv 1111.1505math-phmath.MP
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随机Anderson模型谱边的增强Wegner和Minami估计及特征值统计

Enhanced Wegner and Minami estimates and eigenvalue statistics of random Anderson models at spectral edges

François Germinet, Frédéric Klopp

摘要:

我们考虑离散的安德森模型,并证明了增强的Wegner和Minami估计,其中的间隔长度被替换为IDS计算的间隔。我们使用这些估计,以改善在以前的文件中获得的有限体积本征值和本征函数的描述。由于特征值和特征函数的描述得到了改进,我们重新讨论了局部区域谱统计的一些结果,并扩展了它们的有效范围,即:-展开特征值的局部谱统计; -展开特征值的局部渐近遍历性;在1维中,对于标准的安德森模型,改进使我们能够获得在频带边缘的局部谱统计,即在Lifshitz尾制度。在更高的维度,这适用于修改的安德森模型。

英文摘要:

We consider the discrete Anderson model and prove enhanced Wegner and Minami estimates where the interval length is replaced by the IDS computed on the interval. We use these estimates to improve on the description of finite volume eigenvalues and eigenfunctions obtained in a previous paper. As a consequence of the improved description of eigenvalues and eigenfunctions, we revisit a number of results on the spectral statistics in the localized regime and extend their domain of validity, namely : - the local spectral statistics for the unfolded eigenvalues; - the local asymptotic ergodicity of the unfolded eigenvalues; In dimension 1, for the standard Anderson model, the improvement enables us to obtain the local spectral statistics at band edge, that is in the Lifshitz tail regime. In higher dimensions, this works for modified Anderson models.

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