Complete and Complete Moment Convergence of the Weighted Sums of $ρ^∗$-Mixing Random Vectors in Hilbert Spaces

IF 1.1 4区 数学 Q2 MATHEMATICS, APPLIED East Asian Journal on Applied Mathematics Pub Date : 2022-06-01 DOI:10.4208/eajam.010821.131221
Mi-Hwa Ko
{"title":"Complete and Complete Moment Convergence of the Weighted Sums of $ρ^∗$-Mixing Random Vectors in Hilbert Spaces","authors":"Mi-Hwa Ko","doi":"10.4208/eajam.010821.131221","DOIUrl":null,"url":null,"abstract":". Let 1 ≤ p < 2, α > p , { a ni ,1 ≤ i ≤ n , n ≥ 1 } be a set of real numbers with the property sup n ≥ 1 n − 1 P n i = 1 | a ni | α < ∞ and let { X , X n , n ≥ 1 } be a sequence of H -valued ρ ∗ -mixing random vectors coordinatewise stochastically upper dominated by a random vector X . We provide conditions such that for any ε > 0 the following inequalities hold: These results generalize the results of Chen and Sung (cf. J. Ineq. Appl. 121 , 1–16 (2018)) to the ρ ∗ -mixing random vectors in H . In addition, a Marcinkiewicz-Zygmund type strong law of ρ ∗ -mixing random vectors in H is presented. random vectors, complete moment convergence, weighted sums, Marcinkiewicz-Zygmund type strong law of large numbers.","PeriodicalId":48932,"journal":{"name":"East Asian Journal on Applied Mathematics","volume":" ","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"East Asian Journal on Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.4208/eajam.010821.131221","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

. Let 1 ≤ p < 2, α > p , { a ni ,1 ≤ i ≤ n , n ≥ 1 } be a set of real numbers with the property sup n ≥ 1 n − 1 P n i = 1 | a ni | α < ∞ and let { X , X n , n ≥ 1 } be a sequence of H -valued ρ ∗ -mixing random vectors coordinatewise stochastically upper dominated by a random vector X . We provide conditions such that for any ε > 0 the following inequalities hold: These results generalize the results of Chen and Sung (cf. J. Ineq. Appl. 121 , 1–16 (2018)) to the ρ ∗ -mixing random vectors in H . In addition, a Marcinkiewicz-Zygmund type strong law of ρ ∗ -mixing random vectors in H is presented. random vectors, complete moment convergence, weighted sums, Marcinkiewicz-Zygmund type strong law of large numbers.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
希尔伯特空间中$ρ^∗$-混合随机向量加权和的完全矩收敛性
. 让1≤p < 2α> p{倪,1≤≤n, n≥1}是实数的一组属性一口n≥1 n−1 p n i = 1 |倪|α<∞,让{X, X n, n≥1}是一个序列的H值ρ∗混合随机向量coordinatewise随机上由一个随机向量X。对于任意ε >,我们提供了下列不等式成立的条件:这些结果推广了Chen和Sung的结果(参见J. Ineq)。[j] .中国机械工程,2016,(2):1 - 6。此外,还给出了H中ρ∗混合随机向量的Marcinkiewicz-Zygmund型强定律。随机向量,完全矩收敛,加权和,Marcinkiewicz-Zygmund型强大数定律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.60
自引率
8.30%
发文量
48
期刊介绍: The East Asian Journal on Applied Mathematics (EAJAM) aims at promoting study and research in Applied Mathematics in East Asia. It is the editorial policy of EAJAM to accept refereed papers in all active areas of Applied Mathematics and related Mathematical Sciences. Novel applications of Mathematics in real situations are especially welcome. Substantial survey papers on topics of exceptional interest will also be published occasionally.
期刊最新文献
A Hybrid Neural-Network and MAC Scheme for Stokes Interface Problems A Pre-Training Deep Learning Method for Simulating the Large Bending Deformation of Bilayer Plates An Adaptive Moving Mesh Method for Simulating Finite-time Blowup Solutions of the Landau-Lifshitz-Gilbert Equation Partitioned Dashnic-Zusmanovich Type Matric with Applications Multivariate Feedback Particle Filter Rederived from the Splitting-Up Scheme
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1