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Derivatives of functions of eigenvalues and eigenvectors for symmetric matrices.

Authors :
Xu, Yongjia
Lai, Yongzeng
Source :
Journal of Mathematical Analysis & Applications. Dec2016, Vol. 444 Issue 1, p251-274. 24p.
Publication Year :
2016

Abstract

This paper discusses the differentiability of a class of functions associated with eigenvalues and eigenvectors of symmetric matrices. Recursive style formulas of partial derivatives for this class of functions are derived and higher order derivatives can be easily obtained from these formulas. Meanwhile, some interesting characteristics of multiple eigenvalues are revealed. Examples involving inverse eigenvalue problems and primary matrix functions are given to illustrate the applications of the results obtained in this paper. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0022247X
Volume :
444
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Mathematical Analysis & Applications
Publication Type :
Academic Journal
Accession number :
116928206
Full Text :
https://doi.org/10.1016/j.jmaa.2016.06.012