一种强收敛的新方法2。古典乐团

IF 2.2 1区数学 Q1 MATHEMATICS

Geometric and Functional Analysis Pub Date : 2026-06-06 DOI:10.1007/s00039-026-00744-2

Chi-Fang Chen, Jorge Garza-Vargas, Ramon van Handel

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引用次数: 0

摘要

本系列的第一篇文章介绍了一种主要基于软论证的随机矩阵强收敛的新方法。该方法被应用于对随机置换矩阵的强收敛性和对称群的更一般表示的精确定性和定量理解。在本文中，我们引入了新的思想，使其有可能获得更强的定量结果，并促进了该方法在新模型中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A New Approach to Strong Convergence II. The Classical Ensembles

The first paper in this series introduced a new approach to strong convergence of random matrices that is based primarily on soft arguments. This method was applied to achieve a refined qualitative and quantitative understanding of strong convergence of random permutation matrices and of more general representations of the symmetric group. In this paper, we introduce new ideas that make it possible to achieve stronger quantitative results and that facilitate the application of the method to new models.

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来源期刊

Geometric and Functional Analysis 数学-数学

CiteScore

3.70

自引率

4.50%

发文量

审稿时长

6-12 weeks

期刊介绍： Geometric And Functional Analysis (GAFA) publishes original research papers of the highest quality on a broad range of mathematical topics related to geometry and analysis. GAFA scored in Scopus as best journal in "Geometry and Topology" since 2014 and as best journal in "Analysis" since 2016. Publishes major results on topics in geometry and analysis. Features papers which make connections between relevant fields and their applications to other areas.