Work

Gaussian Fluctuation in Random Matrices

Year: 1995
Type: article
Abstract: Let $N(L)$ be the number of eigenvalues, in an interval of length $L$, of a matrix chosen at random from the Gaussian orthogonal, unitary, or symplectic ensembles of $N$ by $N$ matrices, in the limit $N\ensuremath{\rightarrow}\ensuremath{\infty}$. We prove that $[N(L)\ensuremath{-}〈N(L)〉]/\sqrt{\mathrm{ln}L}$ has a Gaussian distribution when $L\ensuremath{\rightarrow}\ensuremath{\infty}$. This theorem, which requires control of all the higher moments of the distribution, elucidates numerical and exact results on chaotic quantum systems and on the statistics of zeros of the Riemann zeta function.
Language: English
Open Access status: green
OpenAlex ID: W2057524558
FWCI: 3.775
Cites: 9
Cited by: 203
Related to: 10