Abstract:
The unitarily invariant probability measures on infinite Hermitian matrices have been classified by Pickrell and by Olshanski and Vershik. This classification is equivalent to determining the boundary of a certain inhomogeneous Markov chain with given transition probabilities. This formulation of the problem makes sense for general $\beta$-ensembles when one takes as the transition probabilities the Dixon–Anderson conditional probability distribution. In this paper we determine the boundary of this Markov chain for any $\beta \in (0,\infty]$, also giving in this way a new proof of the classical $\beta=2$ case (Pickrell, Olshanski and Vershik). Finally, as a by-product of our results we obtain alternative proofs of the almost sure convergence of the rescaled Hua–Pickrell and Laguerre $\beta$-ensembles to the general $\beta$ Hua–Pickrell and $\beta$ Bessel point processes respectively; these results were obtained earlier by Killip and Stoiciu, Valkó and Virág, Ramírez and Rider.
Key words and phrases:infinite random matrices, beta ensembles, ergodic measures, boundary of Markov chains.