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 language | English |
|---|---|
| Pages (from-to) | 1115-1144 |
| Number of pages | 30 |
| Journal | SIAM Journal on Matrix Analysis and Applications |
| Volume | 41 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2020 |
Keywords
- Decomposition
- Hermitian tensor
- Positive semidefiniteness
- Rank
- Separability
Fingerprint
Dive into the research topics of 'Hermitian tensor decompositions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver