EconPapers    
Economics at your fingertips  
 

Some New Bounds for Singular Values and Eigenvalues of Matrix Products

L.-Z. Lu and C.E.M. Pearce

Annals of Operations Research, 2000, vol. 98, issue 1, 148 pages

Abstract: For two Hermitian matrices A and B, at least one of which is positive semidefinite, we give upper and lower bounds for each eigenvalue of AB in terms of the eigenvalues of A and B. For two complex matrices A,B with known singular values, upper and lower bounds are deduced for each singular value of AB. Copyright Kluwer Academic Publishers 2000

Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1019200322441 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:98:y:2000:i:1:p:141-148:10.1023/a:1019200322441

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/A:1019200322441

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:annopr:v:98:y:2000:i:1:p:141-148:10.1023/a:1019200322441