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Invariant ensembles in random matrix theory

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Author(s):
Gabriel Passarelli
Total Authors: 1
Document type: Master's Dissertation
Press: São Carlos.
Institution: Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB)
Defense date:
Examining board members:
Guilherme Lima Ferreira da Silva; Thomas Chouteau; Tertuliano Franco Santos Franco; Aline Duarte de Oliveira
Advisor: Guilherme Lima Ferreira da Silva
Abstract

This work is an introduction to random matrix theory, with a focus on the invariant ensembles. It is presented in four main steps. First, we calculate the probability distribution induced on the eigenvalues by the distributions that define the invariant ensembles. Then, we introduce the language of point processes and study multiplicative statistics in each of these ensembles. After this, we discuss the concept of universality in random matrices and calculate the scaling limits for the GUE ensemble using the steepest descent method. Finally, motivated by its application in demonstrating the universality limits of invariant ensembles, we demonstrate an identity known as Widoms formula. (AU)

FAPESP's process: 23/01566-0 - Multiplicative Statistics for Orthogonal and Symplectic Ensembles
Grantee:Gabriel Passarelli
Support Opportunities: Scholarships in Brazil - Master