Sums of projections with random coefficients
Abstract
We study infinite sums \[ P=Σn=-∞∞ n ·, nn \] of rank-one projections in a Hilbert space, where \n\n∈ Z are norm-one vectors, not necessarily orthogonal, and \n\n∈ Z are independent identically distributed positive random variables. Assuming that the Gram matrix \n,m\n,m∈ Z defines a bounded operator on 2( Z) and that its entries depend only on the difference n-m, we analyse P 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 P for P 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 n, we prove the Anderson-type localisation result: the spectrum of P is pure point almost surely.
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