Random Interpolating Sequences in Dirichlet Spaces

Author:

Chalmoukis Nikolaos1,Hartmann Andreas2,Kellay Karim2,Wick Brett Duane3

Affiliation:

1. Dipartimento di Matematica, Università di Bologna, 40126 Bologna, Italy

2. Universit de Bordeaux, CNRS, Bordeaux INP, IMB, UMR 5251, F-33400 Talence, France

3. Department of Mathematics & Statistics, Washington University – St. Louis, One Brookings Drive, St. Louis, MO 63130–4899, USA

Abstract

Abstract We discuss random interpolating sequences in weighted Dirichlet spaces ${{\mathcal{D}}}_\alpha $, $0\leq \alpha \leq 1$, when the radii of the sequence points are fixed a priori and the arguments are uniformly distributed. Although conditions for deterministic interpolation in these spaces depend on capacities, which are very hard to estimate in general, we show that random interpolation is driven by surprisingly simple distribution conditions. As a consequence, we obtain a breakpoint at $\alpha =1/2$ in the behavior of these random interpolating sequences showing more precisely that almost sure interpolating sequences for ${{\mathcal{D}}}_\alpha $ are exactly the almost sure separated sequences when $0\le \alpha <1/2$ (which includes the Hardy space $H^2={{\mathcal{D}}}_0$), and they are exactly the almost sure zero sequences for ${{\mathcal{D}}}_\alpha $ when $1/2 \leq \alpha \le 1$ (which includes the classical Dirichlet space ${{\mathcal{D}}}={{\mathcal{D}}}_1$).

Funder

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

General Mathematics

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