Spectral norm of a symmetric tensor and its computation
Abstract
We show that the spectral norm of a -mode real or complex symmetric tensor in 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 we show that these fixed points are the roots of a corresponding univariate polynomial of degree at most , except certain cases, which are completely analyzed. In particular, for the spectral norm of -symmetric tensor is polynomially computable in with a given relative precision. For a fixed we show that the spectral norm of a -mode symmetric tensor is polynomially computable in 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 -mode symmetric qunits on are polynomially computable for a fixed .
Cite
@article{arxiv.1808.03864,
title = {Spectral norm of a symmetric tensor and its computation},
author = {Shmuel Friedland and Li Wang},
journal= {arXiv preprint arXiv:1808.03864},
year = {2020}
}
Comments
31 pages. arXiv admin note: substantial text overlap with arXiv:1608.01354, to appear in Mathematics of Computation, AMS