scholarly journals Inverse eigenvalue problems for extended Hessenberg and extended tridiagonal matrices

2014 ◽  
Vol 272 ◽  
pp. 377-398 ◽  
Author(s):  
Thomas Mach ◽  
Marc Van Barel ◽  
Raf Vandebril
Filomat ◽  
2017 ◽  
Vol 31 (2) ◽  
pp. 371-385 ◽  
Author(s):  
Wei-Ru Xu ◽  
Guo-Liang Chen

This paper presents two kinds of symmetric tridiagonal plus paw form (hereafter TPPF) matrices, which are the combination of tridiagonal matrices and bordered diagonal matrices. In particular, we exploit the interlacing properties of their eigenvalues. On this basis, the inverse eigenvalue problems for the two kinds of symmetric TPPF matrices are to construct these matrices from the minimal and the maximal eigenvalues of all their leading principal submatrices respectively. The necessary and sufficient conditions for the solvability of the problems are derived. Finally, numerical algorithms and some examples of the results developed here are given.


2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Weiping Shen

We propose a generalized inexact Newton method for solving the inverse eigenvalue problems, which includes the generalized Newton method as a special case. Under the nonsingularity assumption of the Jacobian matrices at the solutionc*, a convergence analysis covering both the distinct and multiple eigenvalue cases is provided and the quadratic convergence property is proved. Moreover, numerical tests are given in the last section and comparisons with the generalized Newton method are made.


2004 ◽  
Vol 20 (5) ◽  
pp. 1675-1689 ◽  
Author(s):  
Zheng-Jian Bai ◽  
Raymond H Chan ◽  
Benedetta Morini

Sign in / Sign up

Export Citation Format

Share Document