Applied Mathematics and Mechanics (English Edition) ›› 2004, Vol. 25 ›› Issue (3): 257-262.

• Articles • Previous Articles     Next Articles

COMPUTING THE EIGENVECTORS OF A MATRIX WITH MULTIPLEX EIGENVALUES BY SVD METHOD

CHI Bin, YE Qing-kai   

  1. Department of Mechanics and Engineering Science, Peking University, Beijing 100871, P.R.China
  • Received:2002-03-26 Revised:2003-11-18 Online:2004-03-18 Published:2004-03-18
  • Supported by:
    the National Natural Science Foundation of China(69974003); Doctoral Point Foundation of Education Ministy PRC(20010001011)

Abstract: Every matrix is similar to a matrix in Jordan canonical form,which has very important sense in the theory of linear algebra and its engineering application.For a matrix with multiplex eigenvalues,an algorithm based on the singular value decomposition(SVD)for computing its eigenvectors and Jordan canonical form was proposed.Numerical simulation shows that this algorithm has good effect in computing the eigenvectors and its Jordan canonical form of a matrix with multiplex eigenvalues.It is superior to MATLAB and MATHEMATICA.

2010 MSC Number: 

APS Journals | CSTAM Journals | AMS Journals | EMS Journals | ASME Journals