中文

Eigenvalues of Euclidean Random Matrices

概率论 2007-12-12 v2

摘要

We study the spectral measure of large Euclidean random matrices. The entries of these matrices are determined by the relative position of nn random points in a compact set Ωn\Omega_n of Rd\R^d. Under various assumptions we establish the almost sure convergence of the limiting spectral measure as the number of points goes to infinity. The moments of the limiting distribution are computed, and we prove that the limit of this limiting distribution as the density of points goes to infinity has a nice expression. We apply our results to the adjacency matrix of the geometric graph.

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引用

@article{arxiv.math/0606624,
  title  = {Eigenvalues of Euclidean Random Matrices},
  author = {Charles Bordenave},
  journal= {arXiv preprint arXiv:math/0606624},
  year   = {2007}
}

备注

16 pages, 1 figure