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2023 Proof methods in random matrix theory
Michael Fleermann, Werner Kirsch
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Probab. Surveys 20: 291-381 (2023). DOI: 10.1214/23-PS16

Abstract

In this survey article, we give an introduction to two methods of proof in random matrix theory: The method of moments and the Stieltjes transform method. We thoroughly develop these methods and apply them to show both the semicircle law and the Marchenko-Pastur law for random matrices with independent entries. The material is presented in a pedagogical manner and is suitable for anyone who has followed a course in measure-theoretic probability theory.

Acknowledgments

We are grateful for the very detailed feedback from the referee and the associate editor, which helped improve this paper in many places.

Citation

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Michael Fleermann. Werner Kirsch. "Proof methods in random matrix theory." Probab. Surveys 20 291 - 381, 2023. https://doi.org/10.1214/23-PS16

Information

Received: 1 April 2022; Published: 2023
First available in Project Euclid: 20 March 2023

zbMATH: 07690291
arXiv: 2203.02551
MathSciNet: MR4563528
Digital Object Identifier: 10.1214/23-PS16

Subjects:
Primary: 60B20

Keywords: Marchenko-Pastur law , method of moments , Random matrix theory , semicircle law , Stieltjes transform method

Vol.20 • 2023
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