Background:
The concept of universality in random matrix theory suggests that the local statistical properties of eigenvalues of large random matrices do not depend on the precise distribution of the matrix entries, but only on some broad class of the distribution, such as symmetry or decay properties.
Problem Statement:
1. Define and explain the concept of universality in random matrix theory.
2. Consider a family of random matrices {â‚™} where the entries arei.id. random variables with a probability distribution having finite moments of all orders. Prove that the local eigenvalue statistics (e.g. the spacing distribution between consecutive eigenvalues) in the bulk of the spectrum exhibit universality.
3. Compare the local statistics to those of the Gaussian Orthogonal Ensemble (GOE) and Gaussian Unitary Ensemble (GUE), showing that the spacing distributions are the same in the large limit.
4. Discuss how these results extend to other ensembles, such as the Laguerre and Wishart matrices, and provide examples from multivariate statistics.
