A subexponential version of Cramer's theorem

Fuente: arXiv
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Auteur principal: Ferré, Grégoire
Format: Preprint
Publié: 2022
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author Ferré, Grégoire
author_facet Ferré, Grégoire
contents We consider the large deviations associated with the empirical mean of independent and identically distributed random variables under a subexponential moment condition. We show that non-trivial deviations are observable at a subexponential scale in the number of variables, and we provide the associated rate function, which is non-convex and is not derived from a Legendre-Fenchel transform. The proof adapts the one of Cramer's theorem to the case where the fluctuation is generated by a single variable. In particular, we develop a new tilting strategy for the lower bound, which leads us to introduce a condition on the second derivative of the moment generating function. Our results are illustrated by a couple of simple examples.
format Preprint
id arxiv_https___arxiv_org_abs_2206_05791
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle A subexponential version of Cramer's theorem
Ferré, Grégoire
Probability
Statistical Mechanics
We consider the large deviations associated with the empirical mean of independent and identically distributed random variables under a subexponential moment condition. We show that non-trivial deviations are observable at a subexponential scale in the number of variables, and we provide the associated rate function, which is non-convex and is not derived from a Legendre-Fenchel transform. The proof adapts the one of Cramer's theorem to the case where the fluctuation is generated by a single variable. In particular, we develop a new tilting strategy for the lower bound, which leads us to introduce a condition on the second derivative of the moment generating function. Our results are illustrated by a couple of simple examples.
title A subexponential version of Cramer's theorem
topic Probability
Statistical Mechanics
url https://arxiv.org/abs/2206.05791