Random Matrix Theory (RMT) has emerged as a potent framework to characterise the statistical properties of eigenvalues in large complex systems, bridging disciplines from quantum physics to number ...
A relatively obscure eigenvalue due to Wielandt is used to give a simple derivation of the asymptotic distribution of the eigenvalues of a random symmetric matrix. The asymptotic distributions are ...
My research is in Random Matrix Theory - in particular looking at the eigenvalue statistics and properties of characteristic polynomials of various random matrix ensembles. Many of our academics speak ...
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