English

Hermitian Tensor Decompositions

Numerical Analysis 2020-04-29 v2 Numerical Analysis

Abstract

Hermitian tensors are generalizations of Hermitian matrices, but they have very different properties. Every complex Hermitian tensor is a sum of complex Hermitian rank-1 tensors. However, this is not true for the real case. We study basic properties for Hermitian tensors such as Hermitian decompositions and Hermitian ranks. For canonical basis tensors, we determine their Hermitian ranks and decompositions. For real Hermitian tensors, we give a full characterization for them to have Hermitian decompositions over the real field. In addition to traditional flattening, Hermitian tensors specially have Hermitian and Kronecker flattenings, which may give different lower bounds for Hermitian ranks. We also study other topics such as eigenvalues, positive semidefiniteness, sum of squares representations, and separability.

Keywords

Cite

@article{arxiv.1912.07175,
  title  = {Hermitian Tensor Decompositions},
  author = {Jiawang Nie and Zi Yang},
  journal= {arXiv preprint arXiv:1912.07175},
  year   = {2020}
}

Comments

28 pages

R2 v1 2026-06-23T12:46:39.243Z