RESEARCH ARTICLE

Tensor convolutions and Hankel tensors

  • Changqing XU , 1 ,
  • Yiran XU 2
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  • 1. School of Mathematics and Physics, Suzhou University of Science and Technology, Suzhou 215009, China
  • 2. Department of Geophysics, Institute of Disaster Prevention, Beijing 101601, China

Received date: 22 May 2017

Accepted date: 14 Sep 2017

Published date: 27 Nov 2017

Copyright

2016 Higher Education Press and Springer-Verlag GmbH Germany

Abstract

Let A be an mth order n-dimensional tensor, where m, nare some positive integers and N:= m(n1).Then A is called a Hankel tensor associated with a vector vN+1 if Aσ=vk for each k= 0, 1, …,Nwhenever σ= (i1, …,im) satisfies i1 ++im = m+k.We introduce the elementary Hankel tensors which are some special Hankel tensors, and present all the eigenvalues of the elementary Hankel tensors for k= 0, 1, 2. We also show that a convolution can be expressed as the product of some third-order elementary Hankel tensors, and a Hankel tensor can be decomposed as a convolution of two Vandermonde matrices following the definition of the convolution of tensors. Finally, we use the properties of the convolution to characterize Hankel tensors and (0,1) Hankel tensors.

Cite this article

Changqing XU , Yiran XU . Tensor convolutions and Hankel tensors[J]. Frontiers of Mathematics in China, 2017 , 12(6) : 1357 -1373 . DOI: 10.1007/s11464-017-0666-8

1
ChenY, QiL, WangQ. Computing extreme eigenvalues of large scale Hankel tensors. J Sci Comput, 2016, 68: 716–738

DOI

2
ChenY, QiL,WangQ. Positive semi-definiteness and sum-of-squares property of fourth order four dimensional Hankel tensors.J Comput Appl Math, 2016, 302: 356–368

DOI

3
ComonP, GolubG, LimL H, MourrainB. Symmetric tensors and symmetric tensor rank.SIAM J Matrix Anal Appl, 2008, 30: 1254–1279

DOI

4
DingW, QiL, WeiY. Fast Hankel tensor-vector product and its application to exponential data fitting.Numer Linear Algebra Appl, 2015, 22: 814–832

DOI

5
DingW, QiL, WeiY. Inheritance properties and sum-of-squares decomposition of Hankel tensors: theory and algorithms.BIT, 2017, 57: 169–190

DOI

6
FazelM, PongT K, SunD, TsengP. Hankel matrix rank minimization with applications in system identification and realization.SIAM J Matrix Anal Appl, 2013, 34: 946–977

DOI

7
HillarC J, LimL-H. Most tensor problems are NP-hard.J ACM, 2013, 60(6): 1–45

DOI

8
LiG, QiL, WangQ. Positive semi-definiteness of generalized anti-circular tensors.Commun Math Sci, 2016, 14: 941–952

DOI

9
LimL H. Singular values and eigenvalues of tensors: a variational approach. In: IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. IEEE, 2006, 129–132

10
OppenheimA V. Linear Time-Invariant Systems in Signals and Systems.2nd ed. Englewood: Prentice Hall, 1996

11
PapyJ M, De LauauwerL, Van HuffelS. Exponential data fitting using multilinear algebra: The single-channel and multi-channel case.Numer Linear Algebra Appl, 2005, 12: 809–826

DOI

12
QiL. Eigenvalues of a supersymmetric tensor and positive definiteness of an even degree multivariate form.Research Report, Department of Applied Mathematics, The Hong Kong Polytechnic University, 2004

13
QiL. Eigenvalues of a real supersymmetric tensor.J Symbolic Comput, 2005, 40: 1302–1324

DOI

14
QiL. Symmetric nonnegative tensors and copositive tensors.Linear Algebra Appl, 2013, 439: 228–238

DOI

15
QiL. Hankel tensors: Associated Hankel matrices and Vandermonde decomposition.Commun Math Sci, 2015, 13: 113–125

DOI

16
VarahJ M. Positive definite Hankel matrices of minimal condition.Linear Algebra Appl, 2003, 368: 303–314

DOI

17
WangQ, LiG, QiL, XuY. New classes of positive semi-definite Hankel tensor. arXiv: 1411.2365v5

18
XuC. Hankel tensors, Vandermonde tensors and their positivities.Linear Algebra Appl, 2016, 491: 56–72

DOI

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