Multiplicities of eigenvalues of tensors
Shenglong Hu, Ke Ye

TL;DR
This paper investigates the properties and relationships of algebraic and geometric multiplicities of tensor eigenvalues, revealing invariance properties, generic cases with unique eigenvectors, and a generalized inequality extending classical matrix results.
Contribution
It introduces the relationship between algebraic and geometric multiplicities for tensors, analyzes their invariance properties, and generalizes classical matrix results to higher-order tensors.
Findings
For a generic tensor, each eigenvalue has a unique eigenvector.
The algebraic multiplicity can change under tensor group actions.
A lower bound relating algebraic and geometric multiplicities is established.
Abstract
We study in this article multiplicities of eigenvalues of tensors. There are two natural multiplicities associated to an eigenvalue of a tensor: algebraic multiplicity and geometric multiplicity . The former is the multiplicity of the eigenvalue as a root of the characteristic polynomial, and the latter is the dimension of the eigenvariety (i.e., the set of eigenvectors) corresponding to the eigenvalue. We show that the algebraic multiplicity could change along the orbit of tensors by the orthogonal linear group action, while the geometric multiplicity of the zero eigenvalue is invariant under this action, which is the main difficulty to study their relationships. However, we show that for a generic tensor, every eigenvalue has a unique (up to scaling) eigenvector, and both the algebraic multiplicity and geometric…
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Taxonomy
TopicsTensor decomposition and applications · Matrix Theory and Algorithms · Advanced Neuroimaging Techniques and Applications
