Eigenvector distribution of Wigner matrices
成果类型:
Article
署名作者:
Knowles, Antti; Yin, Jun
署名单位:
Harvard University
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-011-0407-y
发表日期:
2013
页码:
543-582
关键词:
semicircle law
Orthogonal polynomials
UNIVERSALITY
asymptotics
delocalization
eigenvalues
spectrum
Respect
edge
摘要:
We consider N x N Hermitian or symmetric random matrices with independent entries. The distribution of the (i, j)-th matrix element is given by a probability measure nu (ij) whose first two moments coincide with those of the corresponding Gaussian ensemble. We prove that the joint probability distribution of the components of eigenvectors associated with eigenvalues close to the spectral edge agrees with that of the corresponding Gaussian ensemble. For eigenvectors associated with bulk eigenvalues, the same conclusion holds provided the first four moments of the distribution nu (ij) coincide with those of the corresponding Gaussian ensemble. More generally, we prove that the joint eigenvector-eigenvalue distributions near the spectral edge of two generalized Wigner ensembles agree, provided that the first two moments of the entries match and that one of the ensembles satisfies a level repulsion estimate. If in addition the first four moments match then this result holds also in the bulk.
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