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Eigenvalues of Euclidean random matrices
Authors:Charles Bordenave
Affiliation:Institut de Mathématiques, Université de Toulouse & CNRS (UMR 5219), 31062 Toulouse, France
Abstract:We study the spectral measure of large Euclidean random matrices. The entries of these matrices are determined by the relative position of n random points in a compact set Ωn of ?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. © 2008 Wiley Periodicals, Inc. Random Struct. Alg., 2008
Keywords:random matrix  spectral measure  random geometric graphs  spatial point process  Euclidean distance matrix
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