A THEORETICAL STUDY OF THE OBJECTIVE-FUNCTIONAL FOR JOINT EIGEN-DECOMPOSITION OF MATRICES
(2025) In SIAM Journal on Matrix Analysis and Applications 46(3). p.2061-2079- Abstract
The problem of approximate joint eigen-decomposition of a collection of matrices arises in a number of diverse engineering and signal processing problems. This problem is usually cast as an optimization problem, and it is the main goal of this publication to provide a theoretical study of the corresponding objective-functional. As our main result, we prove that this functional tends to infinity in the vicinity of rank-deficient matrices with probability one, thereby proving that the optimization problem is well posed. Second, we provide unified expressions for its higher order derivatives in multilinear form, and explicit expressions for the gradient and the Hessian of the functional in standard form, thereby allowing for new improved... (More)
The problem of approximate joint eigen-decomposition of a collection of matrices arises in a number of diverse engineering and signal processing problems. This problem is usually cast as an optimization problem, and it is the main goal of this publication to provide a theoretical study of the corresponding objective-functional. As our main result, we prove that this functional tends to infinity in the vicinity of rank-deficient matrices with probability one, thereby proving that the optimization problem is well posed. Second, we provide unified expressions for its higher order derivatives in multilinear form, and explicit expressions for the gradient and the Hessian of the functional in standard form, thereby allowing for new improved numerical schemes for the solution of the joint eigen-decomposition problem. A special section is devoted to the important case of self-adjoint matrices.
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- author
- Troedsson, Erik LU ; Falkowski, Daniel ; Lidgren, Carl Fredrik ; Wendt, Herwig and Carlsson, Marcus LU
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Fréchet derivative, joint eigenvalue decomposition, matrix diagonalization, nonlinear functional, simultaneous diagonalization, well-posedness
- in
- SIAM Journal on Matrix Analysis and Applications
- volume
- 46
- issue
- 3
- pages
- 19 pages
- publisher
- Society for Industrial and Applied Mathematics
- external identifiers
-
- scopus:105015649759
- ISSN
- 0895-4798
- DOI
- 10.1137/24M171351X
- language
- English
- LU publication?
- yes
- id
- 022f8ee2-c091-4b76-993c-fa2f6199d9fd
- date added to LUP
- 2025-11-12 14:39:41
- date last changed
- 2025-11-12 14:39:41
@article{022f8ee2-c091-4b76-993c-fa2f6199d9fd,
abstract = {{<p>The problem of approximate joint eigen-decomposition of a collection of matrices arises in a number of diverse engineering and signal processing problems. This problem is usually cast as an optimization problem, and it is the main goal of this publication to provide a theoretical study of the corresponding objective-functional. As our main result, we prove that this functional tends to infinity in the vicinity of rank-deficient matrices with probability one, thereby proving that the optimization problem is well posed. Second, we provide unified expressions for its higher order derivatives in multilinear form, and explicit expressions for the gradient and the Hessian of the functional in standard form, thereby allowing for new improved numerical schemes for the solution of the joint eigen-decomposition problem. A special section is devoted to the important case of self-adjoint matrices.</p>}},
author = {{Troedsson, Erik and Falkowski, Daniel and Lidgren, Carl Fredrik and Wendt, Herwig and Carlsson, Marcus}},
issn = {{0895-4798}},
keywords = {{Fréchet derivative; joint eigenvalue decomposition; matrix diagonalization; nonlinear functional; simultaneous diagonalization; well-posedness}},
language = {{eng}},
number = {{3}},
pages = {{2061--2079}},
publisher = {{Society for Industrial and Applied Mathematics}},
series = {{SIAM Journal on Matrix Analysis and Applications}},
title = {{A THEORETICAL STUDY OF THE OBJECTIVE-FUNCTIONAL FOR JOINT EIGEN-DECOMPOSITION OF MATRICES}},
url = {{http://dx.doi.org/10.1137/24M171351X}},
doi = {{10.1137/24M171351X}},
volume = {{46}},
year = {{2025}},
}