{"title":"论数值半径及其双规范的半有限编程特征","authors":"Shmuel Friedland, Chi-Kwong Li","doi":"10.1137/23m160356x","DOIUrl":null,"url":null,"abstract":"SIAM Journal on Matrix Analysis and Applications, Volume 45, Issue 3, Page 1414-1428, September 2024. <br/> Abstract. We state and give self-contained proofs of semidefinite programming characterizations of the numerical radius and its dual norm for matrices. We show that the computation of the numerical radius and its dual norm within [math] precision are polynomially time computable in the data and [math] using either the ellipsoid method or the short step, primal interior point method. We apply our results to give a simple formula for the spectral and the nuclear norm of a [math] real tensor in terms of the numerical radius and its dual norm.","PeriodicalId":49538,"journal":{"name":"SIAM Journal on Matrix Analysis and Applications","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Semidefinite Programming Characterizations of the Numerical Radius and Its Dual Norm\",\"authors\":\"Shmuel Friedland, Chi-Kwong Li\",\"doi\":\"10.1137/23m160356x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SIAM Journal on Matrix Analysis and Applications, Volume 45, Issue 3, Page 1414-1428, September 2024. <br/> Abstract. We state and give self-contained proofs of semidefinite programming characterizations of the numerical radius and its dual norm for matrices. We show that the computation of the numerical radius and its dual norm within [math] precision are polynomially time computable in the data and [math] using either the ellipsoid method or the short step, primal interior point method. We apply our results to give a simple formula for the spectral and the nuclear norm of a [math] real tensor in terms of the numerical radius and its dual norm.\",\"PeriodicalId\":49538,\"journal\":{\"name\":\"SIAM Journal on Matrix Analysis and Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIAM Journal on Matrix Analysis and Applications\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1137/23m160356x\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIAM Journal on Matrix Analysis and Applications","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1137/23m160356x","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
On Semidefinite Programming Characterizations of the Numerical Radius and Its Dual Norm
SIAM Journal on Matrix Analysis and Applications, Volume 45, Issue 3, Page 1414-1428, September 2024. Abstract. We state and give self-contained proofs of semidefinite programming characterizations of the numerical radius and its dual norm for matrices. We show that the computation of the numerical radius and its dual norm within [math] precision are polynomially time computable in the data and [math] using either the ellipsoid method or the short step, primal interior point method. We apply our results to give a simple formula for the spectral and the nuclear norm of a [math] real tensor in terms of the numerical radius and its dual norm.
期刊介绍:
The SIAM Journal on Matrix Analysis and Applications contains research articles in matrix analysis and its applications and papers of interest to the numerical linear algebra community. Applications include such areas as signal processing, systems and control theory, statistics, Markov chains, and mathematical biology. Also contains papers that are of a theoretical nature but have a possible impact on applications.