{"title":"Perturbation of least squares problem of dual linear operator in dual-Hilbert spaces","authors":"Yuhang Liu, Haifeng Ma","doi":"10.1007/s40314-024-02823-2","DOIUrl":null,"url":null,"abstract":"<p>We introduce the dual-Hilbert space and study the basic properties of a dual operator and its generalized inverse on this space. We provide upper bounds on the perturbation of the dual Moore–Penrose inverse of the dual operator if the dual operator is injective or surjective. If the null space or range space of the perturbed dual operator is invariant, stable perturbations are used to give the perturbation bounds for the dual Moore–Penrose inverse. Additionally, given the aforementioned conditions, perturbation bounds for the least squares solution are provided. The upper bounds on the distance between the solution of a perturbed least squares problem and the set of all of its unperturbed solutions under the dual operator norm are also presented.</p>","PeriodicalId":51278,"journal":{"name":"Computational and Applied Mathematics","volume":"13 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40314-024-02823-2","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We introduce the dual-Hilbert space and study the basic properties of a dual operator and its generalized inverse on this space. We provide upper bounds on the perturbation of the dual Moore–Penrose inverse of the dual operator if the dual operator is injective or surjective. If the null space or range space of the perturbed dual operator is invariant, stable perturbations are used to give the perturbation bounds for the dual Moore–Penrose inverse. Additionally, given the aforementioned conditions, perturbation bounds for the least squares solution are provided. The upper bounds on the distance between the solution of a perturbed least squares problem and the set of all of its unperturbed solutions under the dual operator norm are also presented.
期刊介绍:
Computational & Applied Mathematics began to be published in 1981. This journal was conceived as the main scientific publication of SBMAC (Brazilian Society of Computational and Applied Mathematics).
The objective of the journal is the publication of original research in Applied and Computational Mathematics, with interfaces in Physics, Engineering, Chemistry, Biology, Operations Research, Statistics, Social Sciences and Economy. The journal has the usual quality standards of scientific international journals and we aim high level of contributions in terms of originality, depth and relevance.