Lipschitz correspondence between metric measure spaces and random distance matrices

preprint2011arXivOpen access

Abstract

Given a metric space with a Borel probability measure, for each integer NN we obtain a probability distribution on N×NN\times N distance matrices by considering the distances between pairs of points in a sample consisting of NN points chosen indepenedently from the metric space with respect to the given measure. We show that this gives an asymptotically bi-Lipschitz relation between metric measure spaces and the corresponding distance matrices. This is an effective version of a result of Vershik that metric measure spaces are determined by associated distributions on infinite random matrices.

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