Perturbation analysis on T-eigenvalues of third-order tensors
Changxin Mo, Weiyang Ding, Yimin Wei

TL;DR
This paper conducts a comprehensive perturbation analysis of T-eigenvalues in third-order tensors, extending classical matrix theorems, introducing pseudospectra concepts, and providing numerical visualizations to understand tensor sensitivity.
Contribution
It extends classical eigenvalue perturbation theorems to third-order tensors, introduces tensor pseudospectra, and offers new analytical tools for tensor eigenvalue sensitivity analysis.
Findings
All T-eigenvalues lie within union of Gershgorin discs for certain tensors.
Extended Bauer-Fike theorem applicable to F-diagonalizable tensors.
Defined tensor pseudospectra and demonstrated their properties with numerical examples.
Abstract
Perturbation analysis has emerged as a significant concern across multiple disciplines, with notable advancements being achieved, particularly in the realm of matrices. This study centers on specific aspects pertaining to tensor T-eigenvalues within the context of the tensor-tensor multiplication. Initially, an analytical perturbation analysis is introduced to explore the sensitivity of T-eigenvalues. In the case of third-order tensors featuring square frontal slices, we extend the classical Gershgorin disc theorem and show that all T-eigenvalues are located inside a union of Gershgorin discs. Additionally, we extend the Bauer-Fike theorem to encompass F-diagonalizable tensors and present two modified versions applicable to more general scenarios. The tensor case of the Kahan theorem, which accounts for general perturbations on Hermite tensors, is also investigated. Furthermore, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTensor decomposition and applications · Advanced Neuroimaging Techniques and Applications
