Duality Mapping for Schatten Matrix Norms. (15th June 2021)
- Record Type:
- Journal Article
- Title:
- Duality Mapping for Schatten Matrix Norms. (15th June 2021)
- Main Title:
- Duality Mapping for Schatten Matrix Norms
- Authors:
- Aziznejad, Shayan
Unser, Michael - Abstract:
- Abstract: In this paper, we fully characterize the duality mapping over the space of matrices that are equipped with Schatten norms. Our approach is based on the analysis of the saturation of the Hölder inequality for Schatten norms. We prove in our main result that, for p ∈ ( 1, ∞ ), the duality mapping over the space of real-valued matrices with Schatten- p norm is a continuous and single-valued function and provide an explicit form for its computation. For the special case p = 1, the mapping is set-valued; by adding a rank constraint, we show that it can be reduced to a Borel-measurable single-valued function for which we also provide a closed-form expression.
- Is Part Of:
- Numerical functional analysis and optimization. Volume 42:Number 6(2021)
- Journal:
- Numerical functional analysis and optimization
- Issue:
- Volume 42:Number 6(2021)
- Issue Display:
- Volume 42, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 42
- Issue:
- 6
- Issue Sort Value:
- 2021-0042-0006-0000
- Page Start:
- 679
- Page End:
- 695
- Publication Date:
- 2021-06-15
- Subjects:
- Banach spaces -- duality mapping -- Hölder inequality -- Schatten norm -- singular value decomposition
Functional analysis -- Periodicals
Numerical analysis -- Periodicals
Mathematical optimization -- Periodicals
Numerical Analysis, Computer-Assisted
515.705 - Journal URLs:
- http://www.tandfonline.com/toc/lnfa20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/01630563.2021.1922438 ↗
- Languages:
- English
- ISSNs:
- 0163-0563
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6184.692000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17353.xml