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Hermitian tensor decompositions

  • University of California at San Diego

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

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 have also 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.

Original languageEnglish
Pages (from-to)1115-1144
Number of pages30
JournalSIAM Journal on Matrix Analysis and Applications
Volume41
Issue number3
DOIs
StatePublished - 2020

Keywords

  • Decomposition
  • Hermitian tensor
  • Positive semidefiniteness
  • Rank
  • Separability

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