The limit points of the strong law of large numbers under the sub-linear expectations

Fuente: arXiv
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Auteur principal: Zhang, Li-Xin
Format: Preprint
Publié: 2023
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_version_ 1866929201835147264
author Zhang, Li-Xin
author_facet Zhang, Li-Xin
contents Let $\{X_n;n\ge 1\}$ be a sequence of independent and identically distributed random variables in a regular sub-linear expectation space $(Ω,\mathscr{H},\widehat{\mathbb E})$ with the finite Choquet expectation, upper mean $\overlineμ $ and lower mean $\underlineμ $. Then for any Borel-measurable function $φ(x_1,\ldots,x_d)$ on $\mathbb R^d$ or continuous function $φ(x_1,x_2,\ldots)$ on $\mathbb R^{\mathbb N}$, $\sum_{i=1}^n X_i/n$ converges to $\underlineμ\wedge φ(X_1,X_2,\ldots)\wedge \overlineμ$ with upper capacity $1$. The limits of $\sum_{i=1}^nX_i/n$ can be with upper capacity 1 also a random set with boundaries being continuous functions or finite-dimensional Borel-measurable functions of $(X_1, X_2,\ldots)$.
format Preprint
id arxiv_https___arxiv_org_abs_2311_11100
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The limit points of the strong law of large numbers under the sub-linear expectations
Zhang, Li-Xin
Probability
60F15, 60F05
Let $\{X_n;n\ge 1\}$ be a sequence of independent and identically distributed random variables in a regular sub-linear expectation space $(Ω,\mathscr{H},\widehat{\mathbb E})$ with the finite Choquet expectation, upper mean $\overlineμ $ and lower mean $\underlineμ $. Then for any Borel-measurable function $φ(x_1,\ldots,x_d)$ on $\mathbb R^d$ or continuous function $φ(x_1,x_2,\ldots)$ on $\mathbb R^{\mathbb N}$, $\sum_{i=1}^n X_i/n$ converges to $\underlineμ\wedge φ(X_1,X_2,\ldots)\wedge \overlineμ$ with upper capacity $1$. The limits of $\sum_{i=1}^nX_i/n$ can be with upper capacity 1 also a random set with boundaries being continuous functions or finite-dimensional Borel-measurable functions of $(X_1, X_2,\ldots)$.
title The limit points of the strong law of large numbers under the sub-linear expectations
topic Probability
60F15, 60F05
url https://arxiv.org/abs/2311.11100