Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations

In this article, we study the complete convergence and the complete moment convergence for negatively dependent (ND) random variables under sub-linear expectations. Under proper conditions of the moment of random variables, we establish the complete convergence and the complete moment convergence. A...

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Main Authors: Mingzhou Xu, Xuhang Kong
Format: Article
Language:English
Published: AIMS Press 2023-02-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023428?viewType=HTML
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author Mingzhou Xu
Xuhang Kong
author_facet Mingzhou Xu
Xuhang Kong
author_sort Mingzhou Xu
collection DOAJ
description In this article, we study the complete convergence and the complete moment convergence for negatively dependent (ND) random variables under sub-linear expectations. Under proper conditions of the moment of random variables, we establish the complete convergence and the complete moment convergence. As applications, we obtain the Marcinkiewcz-Zygmund type strong law of large numbers of ND random variables under sub-linear expectations. The results here generalize the corresponding ones in classic probability space to those under sub-linear expectations.
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spelling doaj.art-a7dd416259b940ae8a7fe249744695702023-02-21T01:01:49ZengAIMS PressAIMS Mathematics2473-69882023-02-01848504852110.3934/math.2023428Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectationsMingzhou Xu0Xuhang Kong1School of Information Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, ChinaSchool of Information Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, ChinaIn this article, we study the complete convergence and the complete moment convergence for negatively dependent (ND) random variables under sub-linear expectations. Under proper conditions of the moment of random variables, we establish the complete convergence and the complete moment convergence. As applications, we obtain the Marcinkiewcz-Zygmund type strong law of large numbers of ND random variables under sub-linear expectations. The results here generalize the corresponding ones in classic probability space to those under sub-linear expectations.https://www.aimspress.com/article/doi/10.3934/math.2023428?viewType=HTMLnegatively dependent random variablescomplete convergencecomplete moment convergencesub-linear expectations
spellingShingle Mingzhou Xu
Xuhang Kong
Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations
AIMS Mathematics
negatively dependent random variables
complete convergence
complete moment convergence
sub-linear expectations
title Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations
title_full Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations
title_fullStr Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations
title_full_unstemmed Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations
title_short Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations
title_sort note on complete convergence and complete moment convergence for negatively dependent random variables under sub linear expectations
topic negatively dependent random variables
complete convergence
complete moment convergence
sub-linear expectations
url https://www.aimspress.com/article/doi/10.3934/math.2023428?viewType=HTML
work_keys_str_mv AT mingzhouxu noteoncompleteconvergenceandcompletemomentconvergencefornegativelydependentrandomvariablesundersublinearexpectations
AT xuhangkong noteoncompleteconvergenceandcompletemomentconvergencefornegativelydependentrandomvariablesundersublinearexpectations