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Sampling and equidistribution theorems for elliptic second order operators, lifting of eigenvalues, and applications

机译:椭圆二阶运营商的采样和等分分布定理,提升特征值和应用

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We consider elliptic second order partial differential operators with Lipschitz continuous leading order coefficients on finite cubes and the whole Euclidean space. We prove quantitative sampling and equidistribution theorems for eigenfunctions. The estimates are scale-free, in the sense that for a sequence of growing cubes we obtain uniform estimates. These results are applied to prove lifting of eigenvalues as well as the infimum of the essential spectrum, and an uncertainty relation (aka spectral inequality) for short energy interval spectral projectors. Several applications including random operators are discussed. In the proof we have to overcome several challenges posed by the variable coefficients of the leading term. (C) 2019 Elsevier Inc. All rights reserved.
机译:我们考虑椭圆二阶偏差分运营商,利用Lipschitz连续领先订单系数,在有限立方体和整个欧几里德空间上。 我们证明了针对特征功能的定量抽样和等分分布定理。 估计是无缝叠的,因此对于一系列生长立方体的序列,我们获得了统一的估计。 这些结果用于证明特征值以及基本频谱的最小值,以及短路频谱投影仪的不确定性关系(AKA光谱不等式)。 讨论了包括随机运算符的几个应用程序。 在证据中,我们必须克服领先术语的变量系数构成的几个挑战。 (c)2019 Elsevier Inc.保留所有权利。

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