Random Matrix Theory (RMT) has emerged as an indispensable framework for understanding the statistical properties of matrices whose entries are determined by probabilistic processes. Initially ...
This is a preview. Log in through your library . Abstract Branching solutions for a class of bifurcation problems involving closely spaced eigenvalues are constructed. The mathematical features are ...
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 ...
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