Reconstructions of piece-wise continuous and discrete functions using moments

Robert Mnatsakanov, Rafik Aramyan, Farhad Jafari
{"title":"Reconstructions of piece-wise continuous and discrete functions using moments","authors":"Robert Mnatsakanov, Rafik Aramyan, Farhad Jafari","doi":"arxiv-2312.04462","DOIUrl":null,"url":null,"abstract":"The problem of recovering a moment-determinate multivariate function $f$ via\nits moment sequence is studied. Under mild conditions on $f$, the point-wise\nand $L_1$-rates of convergence for the proposed constructions are established.\nThe cases where $f$ is the indicator function of a set, and represents a\ndiscrete probability mass function are also investigated. Calculations of the\napproximants and simulation studies are conducted to graphically illustrate the\nbehavior of the approximations in several simple examples. Analytical and\nsimulated errors of proposed approximations are recorded in Tables 1-3.","PeriodicalId":501330,"journal":{"name":"arXiv - MATH - Statistics Theory","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Statistics Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2312.04462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The problem of recovering a moment-determinate multivariate function $f$ via its moment sequence is studied. Under mild conditions on $f$, the point-wise and $L_1$-rates of convergence for the proposed constructions are established. The cases where $f$ is the indicator function of a set, and represents a discrete probability mass function are also investigated. Calculations of the approximants and simulation studies are conducted to graphically illustrate the behavior of the approximations in several simple examples. Analytical and simulated errors of proposed approximations are recorded in Tables 1-3.
利用矩重构片断连续和离散函数
本文研究了通过矩序列恢复矩确定多元函数 $f$ 的问题。在 $f$ 的温和条件下,建立了所提出的构造的点收敛率和 $L_1$ 收敛率。还研究了 $f$ 是集合的指示函数和代表离散概率质量函数的情况。通过对近似值的计算和仿真研究,在几个简单的例子中形象地说明了近似值的行为。表 1-3 记录了所提近似值的分析误差和模拟误差。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信