Sums of projections with random coefficients
Abstract
We study infinite sums of rank-one projections in a Hilbert space, where are norm-one vectors, not necessarily orthogonal, and are independent identically distributed positive random variables. Assuming that the Gram matrix defines a bounded operator on and that its entries depend only on the difference , we analyse within the framework of spectral theory of ergodic operators. Inspired by the spectral theory of ergodic Schr\"odinger operators, we define the integrated density of states (IDS) measure for and establish results on its continuity and absolute continuity, including Wegner-type estimates and Lifshitz tail behaviour near the spectral edges. In the asymptotic regime of nearly-orthogonal , we prove the Anderson-type localisation result: the spectrum of is pure point almost surely.
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Cite
@article{arxiv.2509.21539,
title = {Sums of projections with random coefficients},
author = {Leonid Pastur and Alexander Pushnitski},
journal= {arXiv preprint arXiv:2509.21539},
year = {2025}
}
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