Spectral norm of a symmetric tensor and its computation

Shmuel Friedland, Li Wang

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Abstract

We show that the spectral norm of a d-mode real or complex symmetric tensor in n variables can be computed by finding the fixed points of the corresponding polynomial map. For a generic complex symmetric tensor the number of fixed points is finite, and we give upper and lower bounds for the number of fixed points. For n = 2 we show that these fixed points are the roots of a corresponding univariate polynomial of degree at most (d-1)2 +1, except certain cases, which are completely analyzed. In particular, for n = 2 the spectral norm of d-symmetric tensor is polynomially computable in d with a given relative precision. For a fixedn > 2 we show that the spectral norm of a d-mode symmetric tensor is polynomially computable in d with a given relative precision with respect to the Hilbert-Schmidt norm of the tensor. These results show that the geometric measure of entanglement of d-mode symmetric qunits on Cn are polynomially computable for a fixed n.

Original languageEnglish
Pages (from-to)2175-2215
Number of pages41
JournalMathematics of Computation
Volume89
Issue number325
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Anti-fixed and fixed points
  • Computation of spectral norm
  • D-mode symmetric qubits
  • D-mode symmetric qunits on C
  • Geometric measure of entanglement
  • Homogeneous polynomials
  • Spectral norm
  • Symmetric tensors

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Friedland, S., & Wang, L. (2020). Spectral norm of a symmetric tensor and its computation. Mathematics of Computation, 89(325), 2175-2215. https://doi.org/10.1090/mcom/3525