随机位移模型局部化的一个最优结果

IF 0.3 Q4 STATISTICS & PROBABILITY
V. Chulaevsky
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引用次数: 0

摘要

摘要研究了具有长程粒子-介质相互作用势𝔲(r, θ)= (θ)r - a {\mathfrak{u}(r,\theta)=\mathfrak{f}(\theta)r^{- a}}的极坐标系下随机位移模型,该模型具有符号无定的光滑函数{\mathfrak{f}}。在最优条件A>d {A>d}下,证明了特征函数相关器具有渐近指数衰减的谱和动态局部化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimal result on localization in random displacements models
Abstract We study random displacements models with a long-range particle-media interaction potential 𝔲 ⁢ ( r , θ ) = 𝔣 ⁢ ( θ ) ⁢ r - A {\mathfrak{u}(r,\theta)=\mathfrak{f}(\theta)r^{-A}} in polar coordinates, with a smooth function 𝔣 {\mathfrak{f}} which can be sign-indefinite. Spectral and dynamical localization, with an asymptotically exponential decay of eigenfunction correlators, is proved under the optimal condition A > d {A>d} .
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来源期刊
Random Operators and Stochastic Equations
Random Operators and Stochastic Equations STATISTICS & PROBABILITY-
CiteScore
0.60
自引率
25.00%
发文量
24
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