
arXiv: 1507.05876
This paper gives a rigorous proof of a conjectured statistical self-similarity property of the eigenvalues random matrices from the Circular Unitary Ensemble. We consider on the one hand the eigenvalues of an $n \times n$ CUE matrix, and on the other hand those eigenvalues $e^{iϕ}$ of an $mn \times mn$ CUE matrix with $|ϕ| \le π/ m$, rescaled to fill the unit circle. We show that for a large range of mesoscopic scales, these collections of points are statistically indistinguishable for large $n$. The proof is based on a comparison theorem for determinantal point processes which may be of independent interest.
v4: published version reformatted with journal's style file
Haar measure, Eigenvalues, singular values, and eigenvectors, Random matrices (algebraic aspects), self-similarity, Probability (math.PR), random matrix, FOS: Physical sciences, Mathematical Physics (math-ph), determinantal point process, Random matrices (probabilistic aspects), eignevalue, circular unitary ensemble, QA1-939, FOS: Mathematics, Self-similar stochastic processes, Point processes (e.g., Poisson, Cox, Hawkes processes), Mathematics, Generation, random and stochastic difference and differential equations, Mathematical Physics, Mathematics - Probability
Haar measure, Eigenvalues, singular values, and eigenvectors, Random matrices (algebraic aspects), self-similarity, Probability (math.PR), random matrix, FOS: Physical sciences, Mathematical Physics (math-ph), determinantal point process, Random matrices (probabilistic aspects), eignevalue, circular unitary ensemble, QA1-939, FOS: Mathematics, Self-similar stochastic processes, Point processes (e.g., Poisson, Cox, Hawkes processes), Mathematics, Generation, random and stochastic difference and differential equations, Mathematical Physics, Mathematics - Probability
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