کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4629072 | 1340573 | 2013 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Left and right inverse eigenvalue problem of (R, S)-symmetric matrices and its optimal approximation problem
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موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The left and right inverse eigenvalue problem, which mainly arises in perturbation analysis of matrix eigenvalue and recursive matters, has some practical applications in engineer and scientific computation fields. In this paper, we give the solvability conditions of and the general expressions to the left and right inverse eigenvalue problem for the (R, S)-symmetric and (R, S)-skew symmetric solutions. The corresponding best approximation problems for the left and right inverse eigenvalue problem are also solved. That is, given an arbitrary complex n-by-n matrix Aâ¼, find a (R, S)-symmetric (or (R, S)-skew symmetric) matrix AAâ¼ which is the solution to the left and right inverse eigenvalue problem such that the distance between Aâ¼ and AAâ¼ is minimized in the Frobenius norm. We give an explicit solution to the best approximation problem in the (R, S)-symmetric and (R, S)-skew symmetric solution sets of the left and right inverse eigenvalue problem under the assumption that R=Râ and S=Sâ. A numerical example is given to illustrate the effectiveness of our method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 219, Issue 17, 1 May 2013, Pages 9261-9269
Journal: Applied Mathematics and Computation - Volume 219, Issue 17, 1 May 2013, Pages 9261-9269
نویسندگان
Feng Yin, Guang-Xin Huang,