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arXiv 1407.4035cond-mat.dis-nncond-mat.stat-mech
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无序产生的多重分形和几何相关过程的高值

High values of disorder-generated multifractals and logarithmically correlated processes

Yan Fyodorov, Olivier Giraud

摘要:

在文章的介绍部分,我们简要介绍了最近的见解,统计的高和极端值的无序生成的多重分形以下的第一作者最近的工作与P. Le Doussal和A。Rosso(FLR)利用多重分形与数学相关随机场之间的密切关系,提出了一种新的分形理论.然后,我们证实了一些方面的FLR方法分析的多重分形特征向量的Ruijsenaars-Schneider系综(RSE)的随机矩阵引入E。Bogomolny和第二作者提供了一个从头计算,揭示了隐藏的对数相关性的背景下的无序生成的多重分形。在其余部分中,我们调查了一些有代表性的模型,包括研究的最高组成部分的多重分形特征向量的Ruijsenaars-Schneider合奏。

英文摘要:

In the introductory section of the article we give a brief account of recent insights into statistics of high and extreme values of disorder-generated multifractals following a recent work by the first author with P. Le Doussal and A. Rosso (FLR) employing a close relation between multifractality and logarithmically correlated random fields. We then substantiate some aspects of the FLR approach analytically for multifractal eigenvectors in the Ruijsenaars-Schneider ensemble (RSE) of random matrices introduced by E. Bogomolny and the second author by providing an ab initio calculation that reveals hidden logarithmic correlations at the background of the disorder-generated multifractality. In the rest we investigate numerically a few representative models of that class, including the study of the highest component of multifractal eigenvectors in the Ruijsenaars-Schneider ensemble.

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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