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Random matrices, orthogonal polynomials, and asymptotic analysis

Lecturer: 
Course Type: 
PhD Course
Academic Year: 
2024-2025
Period: 
March - May
Duration: 
50 h
Description: 
Topics:
  1. definition and basic properties of determinantal point processes;
  2. short introduction to the theory of orthogonal polynomials;
  3. unitary ensembles of random matrices.
  4. Gaussian Unitary Ensemble. Semicircle law and local properties of the eigenvalues (sine-kernel and Airy-kernel processes). Asymptotic analysis of integrals. 
  5. Equilibrium measures. Connection between the density of zeros of orthogonal polynomials and eigenvalues of random matrices.
     
Main reference book:
P. Deift, Orthogonal Polynomials and Random Matrices: A Riemann-Hilbert Approach.
 
 
Next Lectures: 

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