来自对数相关场厚点的乘法混沌度量

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Janne Junnila, Gaultier Lambert, Christian Webb
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引用次数: 0

摘要

我们证明,乘法混沌度量可以从底层对数相关场的极值水平集或厚点构建。我们开发的方法涵盖了整个亚临界阶段,并且只需要场的合适指数矩的渐近值。作为应用,我们利用已知的具有(合并)费雪-哈特维格奇异点的托普利兹行列式的渐近方法,证明这些估计值对哈尔分布式随机单元矩阵(CUE)特征多项式绝对值的对数是成立的。因此,这证明了费奥多罗夫和基廷关于 CUE 特征多项式厚点体积波动的猜想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multiplicative chaos measures from thick points of log-correlated fields

Multiplicative chaos measures from thick points of log-correlated fields

We prove that multiplicative chaos measures can be constructed from extreme level sets or thick points of the underlying logarithmically correlated field. We develop a method which covers the whole subcritical phase and only requires asymptotics of suitable exponential moments for the field. As an application, we establish that these estimates hold for the logarithm of the absolute value of the characteristic polynomial of a Haar distributed random unitary matrix (CUE), using known asymptotics for Toeplitz determinant with (merging) Fisher–Hartwig singularities. Hence, this proves a conjecture of Fyodorov and Keating concerning the fluctuations of the volume of thick points of the CUE characteristic polynomial.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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