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Random matrices and asymptotic analysis

Lecturer: 
Course Type: 
PhD Course
Academic Year: 
2025-2026
Period: 
October-December
Duration: 
40 h
Description: 

We will discuss the main facts of random matrix theory from the viewpoint of mathematical analysis. We will introduce the Gaussian Unitary Ensemble as the main example and study its properties. Its properties are shared by many other ensembles of random matrices due to universality. We will emphasise the connection to orthogonal polynomials and asymptotic analysis (steepest descent and Riemann-Hilbert problem methods). 

Rooms
Mondays room 134 (exceptionally on 17.11.25 and 24.11.25 the room is 136)
Wednesdays room 136
Location: 
TBC(to be checked)
Next Lectures: 
Monday, November 17, 2025 - 14:00 to 16:00
Wednesday, November 19, 2025 - 14:00 to 17:00
Monday, November 24, 2025 - 14:00 to 16:00
Wednesday, November 26, 2025 - 14:00 to 17:00
Monday, December 1, 2025 - 14:00 to 16:00
Wednesday, December 3, 2025 - 14:00 to 17:00

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