English

Sums of projections with random coefficients

Spectral Theory 2025-10-01 v2

Abstract

We study infinite sums Pϰ=n=ϰn,ψnψn {\mathcal P}_{\varkappa}=\sum_{n=-\infty}^\infty \varkappa_n \langle\cdot, \psi_n\rangle\psi_n of rank-one projections in a Hilbert space, where {ψn}nZ\{\psi_n\}_{n\in\mathbb Z} are norm-one vectors, not necessarily orthogonal, and {ϰn}nZ\{\varkappa_n\}_{n\in\mathbb Z} are independent identically distributed positive random variables. Assuming that the Gram matrix {ψn,ψm}n,mZ\{\langle\psi_n,\psi_m\rangle\}_{n,m\in\mathbb Z} defines a bounded operator on 2(Z)\ell^2(\mathbb Z) and that its entries depend only on the difference nmn-m, we analyse Pϰ{\mathcal P}_{\varkappa} 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 νPϰ\nu_{{\mathcal P}_\varkappa} for Pϰ{\mathcal P}_{\varkappa} 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 ψn\psi_n, we prove the Anderson-type localisation result: the spectrum of Pϰ{\mathcal P}_{\varkappa} 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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