Analytical solutions of a class of matrix function optimization problems with unitary constraints. (January 2022)
- Record Type:
- Journal Article
- Title:
- Analytical solutions of a class of matrix function optimization problems with unitary constraints. (January 2022)
- Main Title:
- Analytical solutions of a class of matrix function optimization problems with unitary constraints
- Authors:
- Shen, Weijie
Shi, Ping
Ge, Zhihao
Xu, Weiwei - Abstract:
- Abstract: In this paper we extend Theorems 3.1 and 3.2 of Xu et al. (2020) to more general cases and propose analytic solutions of the following constrained matrix maximization problems with unitary constraints: max S k S k H = I n, L k L k H = I m det c I m + ∏ k = 1 s A k S k B k L k and max S k S k H = I n, L k L k H = I m tr c I m + ∏ k = 1 s A k S k B k L k, where c is a complex number, I m denotes the m -order identity matrix, A k, B k are m × n and n × m complex matrices, and det ( ⋅ ), tr ( ⋅ ) denote the matrix determinant and trace functions. This is a non-convex nonlinear constrained matrix maximization problem. The new results improve the corresponding existing ones in Xu et al. (2020).
- Is Part Of:
- Applied mathematics letters. Volume 123(2022)
- Journal:
- Applied mathematics letters
- Issue:
- Volume 123(2022)
- Issue Display:
- Volume 123, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 123
- Issue:
- 2022
- Issue Sort Value:
- 2022-0123-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- Unitary constraints -- Maximization problems -- Determinant function -- Trace function
Applied mathematics -- Periodicals
519.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08939659 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aml.2021.107601 ↗
- Languages:
- English
- ISSNs:
- 0893-9659
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1573.880000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19897.xml