Numerical Computation of the Characteristic Polynomial of a Complex Matrix
dc.contributor.advisor | Stephen L. Campbell, Committee Member | en_US |
dc.contributor.advisor | Carl D. Meyer, Committee Member | en_US |
dc.contributor.advisor | Dean J. Lee, Committee Co-Chair | en_US |
dc.contributor.advisor | Ilse C. F. Ipsen, Committee Chair | en_US |
dc.contributor.author | Rehman, Rizwana | en_US |
dc.date.accessioned | 2010-08-19T18:15:32Z | |
dc.date.available | 2010-08-19T18:15:32Z | |
dc.date.issued | 2010-04-20 | en_US |
dc.degree.discipline | Applied Mathematics | en_US |
dc.degree.level | dissertation | en_US |
dc.degree.name | PhD | en_US |
dc.description.abstract | REHMAN, RIZWANA. Numerical Computation of the Characteristic Polynomial of a Complex Matrix. (Under the direction of Ilse C.F. Ipsen.) In this dissertation we present algorithms, and sensitivity and stability analyses for the numerical computation of characteristic polynomials of complex matrices. In Quantum Physics, for instance, characteristic polynomials are required to calculate thermodynamic properties of systems of fermions. The general consensus seems to be that numerical methods for computing characteristic polynomials are numerically inaccurate and unstable. However, in order to judge the numerical accuracy of a method, one needs to investigate the sensitivity of the coeffcients of the characteristic polynomial to perturbations in the matrix. We derive forward error bounds for the coeffcients of the characteristic polynomial of an n x n complex matrix. These bounds consist of elementary symmetric functions of singular values. Furthermore, we investigate the numerical stability of two methods for the computation of characteristic polynomials. The frst method determines the coeffcients of the characteristic polynomial of a matrix from its eigenvalues. The second method requires a preliminary reduction of a complex matrix A to its Hessenberg form H. The characteristic polynomial of H is obtained from successive computations of characteristic polynomials of leading principal submatrices of H. Our numerical experiments suggest that the second method is more accurate than the determination of the characteristic polynomial from eigenvalues. | en_US |
dc.identifier.other | etd-11182009-173603 | en_US |
dc.identifier.uri | http://www.lib.ncsu.edu/resolver/1840.16/6262 | |
dc.rights | I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. | en_US |
dc.subject | eigenvalues | en_US |
dc.subject | singular values | en_US |
dc.subject | characteristic polynomials | en_US |
dc.title | Numerical Computation of the Characteristic Polynomial of a Complex Matrix | en_US |
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