{"title":"The Factorization of a Matrix as the Commutator of Two Matrices","authors":"J. M. Smith","doi":"10.6028/JRES.078B.017","DOIUrl":null,"url":null,"abstract":"Let P = f \" + (- I ,,) , the direct sum of the p x p identity matrix and the negative of the q x q ide n t ity matrix. The following th eo re m is proved. TH EOHEM: If X = cZ where Z is a 4 x 4 P-orthogonal , P-skew-symmetric matrix and Ie I .;;; 2, there exist matrices A an.d B, both of which are P-orthogollal and P-skew-symmetric, sach that X = AB - BA. Methods for o btaining certain matrices whi c h sati s fy X = AB - BA are given. Methods are a lso give n fo r de terminin g pairs of a nti co mmuting P -o rth\"gona l, P -s kew-symmetri c matrices.","PeriodicalId":166823,"journal":{"name":"Journal of Research of the National Bureau of Standards, Section B: Mathematical Sciences","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1974-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Research of the National Bureau of Standards, Section B: Mathematical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6028/JRES.078B.017","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
Let P = f " + (- I ,,) , the direct sum of the p x p identity matrix and the negative of the q x q ide n t ity matrix. The following th eo re m is proved. TH EOHEM: If X = cZ where Z is a 4 x 4 P-orthogonal , P-skew-symmetric matrix and Ie I .;;; 2, there exist matrices A an.d B, both of which are P-orthogollal and P-skew-symmetric, sach that X = AB - BA. Methods for o btaining certain matrices whi c h sati s fy X = AB - BA are given. Methods are a lso give n fo r de terminin g pairs of a nti co mmuting P -o rth"gona l, P -s kew-symmetri c matrices.