On approximate diagonalization of third order symmetric tensors by orthogonal transformations
Jianze Li, Konstantin Usevich, Pierre Comon

TL;DR
This paper investigates methods for approximately diagonalizing third order symmetric tensors using orthogonal transformations, exploring classes of such tensors, their relationships, and convergence properties of relevant algorithms.
Contribution
It introduces new classes of approximately diagonal tensors, analyzes their relationships, and proves convergence of the cyclic Jacobi algorithm for this problem.
Findings
Defined classes of approximately diagonal tensors
Analyzed relationships between tensor classes and eigenproperties
Proved convergence of the cyclic Jacobi algorithm
Abstract
In this paper, we study the approximate orthogonal diagonalization problem of third order symmetric tensors. We define several classes of approximately diagonal tensors, including the ones corresponding to the stationary points of this problem. We study the relationships between these classes, and other well-known objects, such as tensor Z-eigenvalue and Z-eigenvector. We also prove results on convergence of the cyclic Jacobi (or Jacobi CoM2) algorithm.
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Taxonomy
TopicsTensor decomposition and applications · Matrix Theory and Algorithms
