Eigenvalues of Euclidean random matrices |
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Authors: | Charles Bordenave |
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Affiliation: | Institut de Mathématiques, Université de Toulouse & CNRS (UMR 5219), 31062 Toulouse, France |
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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 |
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Keywords: | random matrix spectral measure random geometric graphs spatial point process Euclidean distance matrix |
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