Hankel Tensor Decompositions and Ranks
Jiawang Nie, Ke Ye
Abstract
Jiawang Nie, Ke Ye
Abstract
Hankel tensors are generalizations of Hankel matrices. This article studies both the computational and algebraic aspects of Hankel tensor ranks. We prove that for a low rank symmetric tensor, there exists a base change to make it a Hankel tensor. We also provide an algorithm that can compute the Vandermonde ranks and decompositions for all Hankel tensors. For a generic $n$-dimensional Hankel tensor of even order or order three, we prove that the candecomp-parafac rank, symmetric rank, Vandermonde rank, border rank, symmetric border rank, and Vandermonde border rank all coincide with each other. Some open questions are also posed.
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Hankel tensors are generalizations of Hankel matrices. This article studies both the computational and algebraic aspects of Hankel tensor ranks. We prove that for a low rank symmetric tensor, there exists a base change to make it a Hankel tensor. We also provide an algorithm that can compute the Vandermonde ranks and decompositions for all Hankel tensors. For a generic $n$-dimensional Hankel tensor of even order or order three, we prove that the candecomp-parafac rank, symmetric rank, Vandermonde rank, border rank, symmetric border rank, and Vandermonde border rank all coincide with each other. Some open questions are also posed.
Key concepts: Vandermonde matrix, Mathematics, Rank (graph theory), Hankel matrix, Tensor (intrinsic definition), Symmetric tensor, Combinatorics, Hankel transform