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arXiv 1002.2123cond-mat.dis-nncond-mat.stat-mech
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局域化、反常扩散和慢弛豫:随机距离矩阵方法

Localization, anomalous diffusion and slow relaxations: a random distance matrix approach

Ariel Amir, Yuval Oreg, Yoseph Imry

摘要:

本文研究了一类随机矩阵的谱性质,其中矩阵元指数地依赖于均匀分布点与随机分布点之间的距离。这个模型在各种物理背景下自然产生,例如粒子的扩散,玻璃中的缓慢弛豫和标量声子局域化。使用重整化群过程和直接矩计算的组合,我们找到本征值分布密度(即,的频谱)和本地化特性的本征模式,为任意尺寸。最后,我们讨论了结果的物理意义。

英文摘要:

We study the spectral properties of a class of random matrices where the matrix elements depend exponentially on the distance between uniformly and randomly distributed points. This model arises naturally in various physical contexts, such as the diffusion of particles, slow relaxations in glasses, and scalar phonon localization. Using a combination of a renormalization group procedure and a direct moment calculation, we find the eigenvalue distribution density (i.e., the spectrum) and the localization properties of the eigenmodes, for arbitrary dimension. Finally, we discuss the physical implications of the results.

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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