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Random moment problems under constraints

Authors :
Holger Dette
Martin Venker
Dominik Tomecki
Source :
Ann. Probab. 48, no. 2 (2020), 672-713
Publication Year :
2020
Publisher :
Institute of Mathematical Statistics, 2020.

Abstract

We investigate moment sequences of probability measures on $E\subset\mathbb{R}$ under constraints of certain moments being fixed. This corresponds to studying sections of $n$-th moment spaces, i.e. the spaces of moment sequences of order $n$. By equipping these sections with the uniform or more general probability distributions, we manage to give for large $n$ precise results on the (probabilistic) barycenters of moment space sections and the fluctuations of random moments around these barycenters. The measures associated to the barycenters belong to the Bernstein-Szeg\H{o} class and show strong universal behavior. We prove Gaussian fluctuations and moderate and large deviations principles. Furthermore, we demonstrate how fixing moments by a constraint leads to breaking the connection between random moments and random matrices.<br />Comment: 43 pages

Details

ISSN :
00911798
Volume :
48
Database :
OpenAIRE
Journal :
The Annals of Probability
Accession number :
edsair.doi.dedup.....b29999c10bb81bdd814d8d7af5b5912c