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arXiv 1306.3459math-phmath.MP
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本征值计数不等式及其对Schrodinger算子的应用

Eigenvalue counting inequalities, with applications to Schrodinger operators

Alexander Elgart, Daniel Schmidt

摘要:

本文给出了一个Hermitian $N \times N$矩阵$A$在区间$(-ε, ε)$中至少有$m$特征值的充分条件。这个条件表示在$A$的主要$(N-2m) \times (N-2m)$子矩阵的存在,其Schur补在$A$至少有$m$特征值的间隔$(-Kε, Kε)$,具有显式常数$K$。我们将这一结果应用于随机薛定谔算子$H_ω$,获得一个标准,使我们能够控制概率$m$密切说谎的特征值为$H_ω$ -一个结果被称为$m$ -水平韦格纳估计。我们证明了它的有用性,通过验证我们的标准的输入条件的一些物理模型。这些包括安德森模型和Bogoliubov-de Gennes脏超导体理论中出现的随机块算子。

英文摘要:

We derive a sufficient condition for a Hermitian $N \times N$ matrix $A$ to have at least $m$ eigenvalues (counting multiplicities) in the interval $(-ε, ε)$. This condition is expressed in terms of the existence of a principal $(N-2m) \times (N-2m)$ submatrix of $A$ whose Schur complement in $A$ has at least $m$ eigenvalues in the interval $(-Kε, Kε)$, with an explicit constant $K$. We apply this result to a random Schrodinger operator $H_ω$, obtaining a criterion that allows us to control the probability of having $m$ closely lying eigenvalues for $H_ω$-a result known as an $m$-level Wegner estimate. We demonstrate its usefulness by verifying the input condition of our criterion for some physical models. These include the Anderson model and random block operators that arise in the Bogoliubov-de Gennes theory of dirty superconductors.

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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