Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/3226
DC FieldValueLanguage
dc.contributor.authorLeung, Andrew Yee Taken_US
dc.date.accessioned2022-05-20T03:39:11Z-
dc.date.available2022-05-20T03:39:11Z-
dc.date.issued1993-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/3226-
dc.description.abstractAn important problem in quantum mechanics involving time reversal symmetry and inversion symmetry is the computation of a quaternion Hermitian matrix [Q] ϵH<sup>n x n</sup> which is equal to its conjugate transpose [Q]<sup>T</sup>=[Q] . Since [Q] is represented by a 2n × 2n complex matrix [C] ϵC<sup>2n x 2n</sup> which is in turn represented by a 4n × 4n real matrix [R] ϵR<sup>4n x 4n</sup> , the eigensolution of [Q] is equivalent to that of [C] or [R] . However, the Hermitian property will be lost if the original quaternion matrix is solved by means of its real or complex representations. In this paper, we solve the quaternion Hermitian matrix by means of quaternion arithmetics and preserve all the advantage of the band structure and the Hermitian property. We introduce a generalized Sturm theorem to include quaternion Hermitian matrices which treats complex Hermitian matrices and symmetric real matrices as special cases.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofFinite Elements in Analysis and Designen_US
dc.titleSturm theorem for quaterion Hermitian eigenproblemsen_US
dc.typejournal articleen_US
dc.identifier.doi10.1016/0168-874X(93)90062-U-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn0168-874Xen_US
dc.description.volume15en_US
dc.description.issue2en_US
dc.description.startpage151en_US
dc.description.endpage156en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypejournal article-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
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