On Local Stability in the Complete Prony Problem

A. A. Lomov
{"title":"On Local Stability in the Complete Prony Problem","authors":"A. A. Lomov","doi":"10.1134/s1055134424020044","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p> We consider the variational Prony problem on approximating observations\n<span>\\(x \\)</span> by the sum of exponentials. We find critical points\nand the second derivatives of the implicit function <span>\\(\\theta \\)</span> that relates perturbation in <span>\\(x \\)</span> with the corresponding exponents. We suggest\nupper bounds for the second order increments and describe the domain, where the accuracy of\na linear approximation of <span>\\(\\theta \\)</span> is acceptable.\nWe deduce lower estimates of the norm of deviation of <span>\\(\\theta \\)</span> for small perturbations in <span>\\(x \\)</span>. We compare our estimates of this norm with\nupper bounds obtained with the use of Wilkinson’s inequality.\n</p>","PeriodicalId":39997,"journal":{"name":"Siberian Advances in Mathematics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Siberian Advances in Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1134/s1055134424020044","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

We consider the variational Prony problem on approximating observations \(x \) by the sum of exponentials. We find critical points and the second derivatives of the implicit function \(\theta \) that relates perturbation in \(x \) with the corresponding exponents. We suggest upper bounds for the second order increments and describe the domain, where the accuracy of a linear approximation of \(\theta \) is acceptable. We deduce lower estimates of the norm of deviation of \(\theta \) for small perturbations in \(x \). We compare our estimates of this norm with upper bounds obtained with the use of Wilkinson’s inequality.

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
论完全普罗尼问题的局部稳定性
Abstract 我们考虑了用指数之和近似观测值(x \)的变分普洛尼(Prony)问题。我们找到了临界点和隐函数 \(\theta \)的二阶导数,该函数将 \(x \)中的扰动与相应的指数联系起来。我们提出了二阶增量的上界,并描述了可以接受\(\theta \)线性近似精度的领域。我们推导出了\(\theta \)的小扰动的\(\theta \)偏差规范的较低估计值。我们将这一准则的估计值与使用威尔金森不等式得到的上界进行比较。
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
Siberian Advances in Mathematics
Siberian Advances in Mathematics Mathematics-Mathematics (all)
CiteScore
0.70
自引率
0.00%
发文量
17
期刊介绍: Siberian Advances in Mathematics  is a journal that publishes articles on fundamental and applied mathematics. It covers a broad spectrum of subjects: algebra and logic, real and complex analysis, functional analysis, differential equations, mathematical physics, geometry and topology, probability and mathematical statistics, mathematical cybernetics, mathematical economics, mathematical problems of geophysics and tomography, numerical methods, and optimization theory.
期刊最新文献
Limit Theorems for Partial Sum Processes of Moving Averages Based on Heterogeneous Processes Necessary Conditions for Existence of Solutions of a Certain Pseudohyperbolic System of Equations The Structure of the Normalizers of Maximal Toruses in Lie-Type Groups Identification of Difference Equations by Observations of Solutions with Perturbations from a Linear Manifold Unique Reconstruction of a Lambertian Optical Surface from Images
×
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:481959085
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