Please wait a minute...
Frontiers of Mathematics in China

ISSN 1673-3452

ISSN 1673-3576(Online)

CN 11-5739/O1

Postal Subscription Code 80-964

2018 Impact Factor: 0.565

Front. Math. China    2017, Vol. 12 Issue (6) : 1357-1373    https://doi.org/10.1007/s11464-017-0666-8
RESEARCH ARTICLE
Tensor convolutions and Hankel tensors
Changqing XU1(), Yiran XU2
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
 Download: PDF(204 KB)  
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
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 v?N+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.

Keywords Tensor      convolution      Hankel tensor      elementary Hankel tensor      symmetric tensor     
Corresponding Author(s): Changqing XU   
Issue Date: 27 November 2017
 Cite this article:   
Changqing XU,Yiran XU. Tensor convolutions and Hankel tensors[J]. Front. Math. China, 2017, 12(6): 1357-1373.
 URL:  
https://academic.hep.com.cn/fmc/EN/10.1007/s11464-017-0666-8
https://academic.hep.com.cn/fmc/EN/Y2017/V12/I6/1357
1 ChenY, QiL, WangQ. Computing extreme eigenvalues of large scale Hankel tensors. J Sci Comput, 2016, 68: 716–738
https://doi.org/10.1007/s10915-015-0155-8
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
https://doi.org/10.1016/j.cam.2016.02.019
3 ComonP, GolubG, LimL H, MourrainB. Symmetric tensors and symmetric tensor rank.SIAM J Matrix Anal Appl, 2008, 30: 1254–1279
https://doi.org/10.1137/060661569
4 DingW, QiL, WeiY. Fast Hankel tensor-vector product and its application to exponential data fitting.Numer Linear Algebra Appl, 2015, 22: 814–832
https://doi.org/10.1002/nla.1970
5 DingW, QiL, WeiY. Inheritance properties and sum-of-squares decomposition of Hankel tensors: theory and algorithms.BIT, 2017, 57: 169–190
https://doi.org/10.1007/s10543-016-0622-0
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
https://doi.org/10.1137/110853996
7 HillarC J, LimL-H. Most tensor problems are NP-hard.J ACM, 2013, 60(6): 1–45
https://doi.org/10.1145/2512329
8 LiG, QiL, WangQ. Positive semi-definiteness of generalized anti-circular tensors.Commun Math Sci, 2016, 14: 941–952
https://doi.org/10.4310/CMS.2016.v14.n4.a3
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
https://doi.org/10.1002/nla.453
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
https://doi.org/10.1016/j.jsc.2005.05.007
14 QiL. Symmetric nonnegative tensors and copositive tensors.Linear Algebra Appl, 2013, 439: 228–238
https://doi.org/10.1016/j.laa.2013.03.015
15 QiL. Hankel tensors: Associated Hankel matrices and Vandermonde decomposition.Commun Math Sci, 2015, 13: 113–125
https://doi.org/10.4310/CMS.2015.v13.n1.a6
16 VarahJ M. Positive definite Hankel matrices of minimal condition.Linear Algebra Appl, 2003, 368: 303–314
https://doi.org/10.1016/S0024-3795(02)00685-7
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
https://doi.org/10.1016/j.laa.2015.02.012
[1] Saeed RAHMATI, Mohamed A. TAWHID. On intervals and sets of hypermatrices (tensors)[J]. Front. Math. China, 2020, 15(6): 1175-1188.
[2] Mengyan XIE, Qing-Wen WANG. Reducible solution to a quaternion tensor equation[J]. Front. Math. China, 2020, 15(5): 1047-1070.
[3] Yizheng FAN, Zhu ZHU, Yi WANG. Least H-eigenvalue of adjacency tensor of hypergraphs with cut vertices[J]. Front. Math. China, 2020, 15(3): 451-465.
[4] Hongmei YAO, Li MA, Chunmeng LIU, Changjiang BU. Brualdi-type inclusion sets of Z-eigenvalues and lk,s-singular values for tensors[J]. Front. Math. China, 2020, 15(3): 601-612.
[5] Gang WANG, Yuan ZHANG, YijuWANG WANG. Brauer-type bounds for Hadamard product of nonnegative tensors[J]. Front. Math. China, 2020, 15(3): 555-570.
[6] Ziyan LUO, Liqun QI, Philippe L. TOINT. Tensor Bernstein concentration inequalities with an application to sample estimators for high-order moments[J]. Front. Math. China, 2020, 15(2): 367-384.
[7] Haibin CHEN, Yiju WANG, Guanglu ZHOU. High-order sum-of-squares structured tensors: theory and applications[J]. Front. Math. China, 2020, 15(2): 255-284.
[8] Lihua YOU, Xiaohua HUANG, Xiying YUAN. Sharp bounds for spectral radius of nonnegative weakly irreducible tensors[J]. Front. Math. China, 2019, 14(5): 989-1015.
[9] Qingzhi YANG, Yiyong LI. Standard tensor and its applications in problem of singular values of tensors[J]. Front. Math. China, 2019, 14(5): 967-987.
[10] Dong LIU, Xiufu ZHANG. Tensor product weight modules of Schrödinger-Virasoro algebras[J]. Front. Math. China, 2019, 14(2): 381-393.
[11] Lubin Cui, Minghui Li. Jordan canonical form of three-way tensor with multilinear rank (4,4,3)[J]. Front. Math. China, 2019, 14(2): 281-300.
[12] Miao LOU. Averages of shifted convolution sums for arithmetic functions[J]. Front. Math. China, 2019, 14(1): 123-134.
[13] Guimei ZHANG, Shenglong HU. Characteristic polynomial and higher order traces of third order three dimensional tensors[J]. Front. Math. China, 2019, 14(1): 225-237.
[14] Zonglin JI, Boling GUO. Landau-Lifshitz-Bloch equation on Riemannian manifold[J]. Front. Math. China, 2019, 14(1): 45-76.
[15] Jun HE, Yanmin LIU, Junkang TIAN, Xianghu LIU. Upper bounds for signless Laplacian Z-spectral radius of uniform hypergraphs[J]. Front. Math. China, 2019, 14(1): 17-24.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed