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Random Moment Problems under Constraints

Probability 2022-12-12 v1

Abstract

We investigate moment sequences of probability measures on ERE\subset\mathbb{R} under constraints of certain moments being fixed. This corresponds to studying sections of nn-th moment spaces, i.e. the spaces of moment sequences of order nn. By equipping these sections with the uniform or more general probability distributions, we manage to give for large nn 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.

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Cite

@article{arxiv.1806.04652,
  title  = {Random Moment Problems under Constraints},
  author = {Holger Dette and Dominik Tomecki and Martin Venker},
  journal= {arXiv preprint arXiv:1806.04652},
  year   = {2022}
}

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43 pages