Title
Analyticity of Semisimple Eigenvalues and Corresponding Eigenvectors of Matrix-Valued Functions.
Abstract
In this paper, we study the analyticity of the semisimple eigenvalue and the corresponding eigenvector functions of general analytic matrix-valued functions which are very important in many engineering applications such as the optimum design of dynamical structures, model updating, damage detecting, quantum mechanics, diffraction grating theory, medical imaging, and social network theory. We establish some new sufficient conditions on existence of analytic eigenvalue and eigenvector functions corresponding to semisimple eigenvalues of general analytic matrix-valued functions, which relaxes the condition in [P. Lancaster, A. S. Markus, and F. Zhou, SIAM J. Matrix Anal. Appl., 25 (2003), pp. 606-626]. We also present a numerical method to compute the derivatives of the eigenvalue and eigenvector functions. Numerical performance of the method is illustrated by some numerical examples.
Year
DOI
Venue
2015
10.1137/151003799
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
Keywords
Field
DocType
analytic eigenvalue and eigenvector functions,semisimple eigenvalues,matrix-valued functions
Mathematical analysis,Matrix (mathematics),Generalized eigenvector,Numerical analysis,Eigenvalues and eigenvectors,Mathematics,Inverse iteration
Journal
Volume
Issue
ISSN
36
4
0895-4798
Citations 
PageRank 
References 
2
0.40
4
Authors
3
Name
Order
Citations
PageRank
Jiang Qian172.66
Delin Chu2242.72
Roger C. E. Tan310219.13