Tensor rank is not multiplicative under the tensor product

Matthias Christandl, Asger Kjærulff Jensen, Jeroen Zuiddam*

*Corresponding author for this work
8 Citations (Scopus)

Abstract

The tensor rank of a tensor t is the smallest number r such that t can be decomposed as a sum of r simple tensors. Let s be a k-tensor and let t be an ℓ-tensor. The tensor product of s and t is a (k+ℓ)-tensor. Tensor rank is sub-multiplicative under the tensor product. We revisit the connection between restrictions and degenerations. A result of our study is that tensor rank is not in general multiplicative under the tensor product. This answers a question of Draisma and Saptharishi. Specifically, if a tensor t has border rank strictly smaller than its rank, then the tensor rank of t is not multiplicative under taking a sufficiently hight tensor product power. The “tensor Kronecker product” from algebraic complexity theory is related to our tensor product but different, namely it multiplies two k-tensors to get a k-tensor. Nonmultiplicativity of the tensor Kronecker product has been known since the work of Strassen. It remains an open question whether border rank and asymptotic rank are multiplicative under the tensor product. Interestingly, lower bounds on border rank obtained from generalized flattenings (including Young flattenings) multiply under the tensor product.

Original languageEnglish
JournalLinear Algebra and Its Applications
Volume543
Pages (from-to)125-139
Number of pages15
ISSN0024-3795
DOIs
Publication statusPublished - 15 Apr 2018

Keywords

  • Algebraic complexity theory
  • Border rank
  • Degeneration
  • Quantum information theory
  • Tensor rank
  • Young flattening

Fingerprint

Dive into the research topics of 'Tensor rank is not multiplicative under the tensor product'. Together they form a unique fingerprint.

Cite this