Nuclear Norm of Higher-Order Tensors
Shmuel Friedland, Lek-Heng Lim

TL;DR
This paper explores the mathematical properties of the nuclear norm for higher-order tensors, including its dependence on the base field, existence of decompositions, and computational complexity results.
Contribution
It establishes new theoretical properties of tensor nuclear norms, including symmetry, decompositions, and NP-hardness of computation, advancing understanding of tensor norms.
Findings
Tensor nuclear norm depends on the base field (real vs. complex).
Every tensor has a nuclear norm attaining decomposition.
Computing tensor nuclear norm is NP-hard in multiple cases.
Abstract
We establish several mathematical and computational properties of the nuclear norm for higher-order tensors. We show that like tensor rank, tensor nuclear norm is dependent on the choice of base field --- the value of the nuclear norm of a real 3-tensor depends on whether we regard it as a real 3-tensor or a complex 3-tensor with real entries. We show that every tensor has a nuclear norm attaining decomposition and every symmetric tensor has a symmetric nuclear norm attaining decomposition. There is a corresponding notion of nuclear rank that, unlike tensor rank, is upper semicontinuous. We establish an analogue of Banach's theorem for tensor spectral norm and Comon's conjecture for tensor rank --- for a symmetric tensor, its symmetric nuclear norm always equals its nuclear norm. We show that computing tensor nuclear norm is NP-hard in several sense. Deciding weak membership in the…
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