JOURNAL ARTICLE

Hankel tensors: Associated Hankel matrices and Vandermonde decomposition

Liqun Qi

Year: 2014 Journal:   Communications in Mathematical Sciences Vol: 13 (1)Pages: 113-125   Publisher: International Press of Boston

Abstract

Abstract. Hankel tensors arise from applications such as signal processing. In this paper, we make an initial study on Hankel tensors. For each Hankel tensor, we associate a Hankel matrix and a higher order two-dimensional symmetric tensor, which we call the associated plane tensor. If the associated Hankel matrix is positive semi-definite, we call such a Hankel tensor a strong Hankel tensor. We show that an m order n-dimensional tensor is a Hankel tensor if and only if it has a Vandermonde decomposition. We call a Hankel tensor a complete Hankel tensor if it has a Vandermonde decomposition with positive coefficients. We prove that if a Hankel tensor is copositive or an even order Hankel tensor is positive semi-definite, then the associated plane tensor is copositive or positive semi-definite, respectively. We show that even order strong and complete Hankel tensors are positive semi-definite, the Hadamard product of two strong Hankel tensors is a strong Hankel tensor, and the Hadamard product of two complete Hankel tensors is a complete Hankel tensor. We show that all the H-eigenvalues of a complete Hankel tensors (maybe of odd order) are nonnegative. We give some upper bounds and lower bounds for the smallest and the largest Z-eigenvalues of a Hankel tensor, respectively. Further questions on Hankel tensors are raised.

Keywords:
Vandermonde matrix Hankel matrix Mathematics Decomposition Hankel transform Mathematical analysis Pure mathematics Physics Chemistry Bessel function Eigenvalues and eigenvectors Quantum mechanics

Metrics

78
Cited By
4.86
FWCI (Field Weighted Citation Impact)
18
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Tensor decomposition and applications
Physical Sciences →  Mathematics →  Computational Mathematics
Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing

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