The Gaussian entropy map in valued fields

Fuente: arXiv
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Autore principale: Maazouz, Yassine El
Natura: Preprint
Pubblicazione: 2021
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author Maazouz, Yassine El
author_facet Maazouz, Yassine El
contents We exhibit the analog of the entropy map for multivariate Gaussian distributions on local fields. As in the real case, the image of this map lies in the supermodular cone and it determines the distribution of the valuation vector. In general, this map can be defined for non-archimedian valued fields whose valuation group is an additive subgroup of the real line, and it remains supermodular. We also explicitly compute the image of this map in dimension 3.
format Preprint
id arxiv_https___arxiv_org_abs_2101_00767
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle The Gaussian entropy map in valued fields
Maazouz, Yassine El
Statistics Theory
Probability
We exhibit the analog of the entropy map for multivariate Gaussian distributions on local fields. As in the real case, the image of this map lies in the supermodular cone and it determines the distribution of the valuation vector. In general, this map can be defined for non-archimedian valued fields whose valuation group is an additive subgroup of the real line, and it remains supermodular. We also explicitly compute the image of this map in dimension 3.
title The Gaussian entropy map in valued fields
topic Statistics Theory
Probability
url https://arxiv.org/abs/2101.00767