EconPapers    
Economics at your fingertips  
 

Modulus of continuity of the matrix absolute value

Rajendra Bhatia ()
Additional contact information
Rajendra Bhatia: Indian Statistical Institute

Indian Journal of Pure and Applied Mathematics, 2010, vol. 41, issue 1, 99-111

Abstract: Abstract Lipschitz continuity of the matrix absolute value |A| = (A*A)1/2 is studied. Let A and B be invertible, and let M 1 = max(‖A‖, ‖B‖), M 2 = max(‖A −1‖, ‖B −1‖). Then it is shown that $$ \left\| { \left| A \right| - \left| B \right| } \right\| \leqslant \left( {1 + log M_1 M_2 } \right) \left\| {A - B} \right\| $$ . A proof is given for the well-known theorem that there is a constant c(n) such that for any two n × n matrices A and B ‖ |A| − |B|‖ ≤ c(n) ‖A − B‖ and the best constant in this inequality is O(log n).

Keywords: Matrix absolute value; perturbation bound; commutator; triangular truncation; Schur product (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13226-010-0014-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:indpam:v:41:y:2010:i:1:d:10.1007_s13226-010-0014-0

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/13226

DOI: 10.1007/s13226-010-0014-0

Access Statistics for this article

Indian Journal of Pure and Applied Mathematics is currently edited by Nidhi Chandhoke

More articles in Indian Journal of Pure and Applied Mathematics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:indpam:v:41:y:2010:i:1:d:10.1007_s13226-010-0014-0