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Wegner Estimate for Random Divergence-Type Operators Monotone in the Randomness
Mathematical Physics, Analysis and Geometry ( IF 1 ) Pub Date : 2021-06-19 , DOI: 10.1007/s11040-021-09396-0
Alexander Dicke

In this note, a Wegner estimate for random divergence-type operators that are monotone in the randomness is proven. The proof is based on a recently shown unique continuation estimate for the gradient and the ensuing eigenvalue liftings. The random model which is studied here contains quite general random perturbations, among others, some that have a non-linear dependence on the random parameters.



中文翻译:

随机发散型算子单调的 Wegner 估计

在本说明中,证明了对随机性单调的随机发散型算子的 Wegner 估计。该证明基于最近显示的梯度和随后的特征值提升的唯一连续估计。这里研究的随机模型包含相当普遍的随机扰动,其中一些对随机参数具有非线性依赖性。

更新日期:2021-06-19
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