The inverse eigenvalue problem for 6x6 nonnegative symmetric matrices
dc.contributor.advisor | Professor Judi McDonald | |
dc.contributor.author | FAIZAH DHAMI ALANAZI | |
dc.date | 2021 | |
dc.date.accessioned | 2022-06-02T12:58:50Z | |
dc.date.available | 2022-06-02T12:58:50Z | |
dc.degree.department | Mathematics | |
dc.degree.grantor | Washington state university | |
dc.description.abstract | The symmetric nonnegative inverse eigenvalue problem is to determine when a set of n real numbers is the spectrum of an n x n symmetric nonnegative matrix. In particular, necessary and sufficient conditions are sought. For n less than or equal to 4, the inverse eigenvalue problem for nonnegative symmetric matrices is completely solved. However, the problem still open for n = 5 and above. Our purpose is to discuss this problem for nonnegative symmetric matrices of order n = 6. | |
dc.identifier.uri | https://drepo.sdl.edu.sa/handle/20.500.14154/63250 | |
dc.language.iso | en | |
dc.title | The inverse eigenvalue problem for 6x6 nonnegative symmetric matrices | |
sdl.thesis.level | Doctoral | |
sdl.thesis.source | SACM - United States of America |