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Spectral structure of infinite size squared distances matrices

Published 13 Sep 2025 in math.MG | (2509.10773v1)

Abstract: Let a finite set of points ξ1,...,ξk{\xi_1,...,\xi_k} be chosen in a metric space (X,D)(X,\mathfrak{D}), and let the squared distance matrix D=(D(ξi,ξj)<sup>2)i,j=1<sup>k\mathfrak{D}=(\mathfrak{D}(\xi_i,\xi_j)<sup>2)_{i,j=1}<sup>{k} be constructed from them. We propose a geometric approach to studying the spectral properties of squared distance matrices of infinite size, constructed from a countable set of points ξkk∈Z{\xi_k}_{k\in \mathbb{Z}} on Riemannian manifold (M,g)(M,g). We move from the discrete problem to a continuous one using walk matrices. We describe the structure of the spectrum and study the properties of spectral flows.

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