Tensor convolutions and Hankel tensors
Changqing XU, Yiran XU
Tensor convolutions and Hankel tensors
Let be an mth order n-dimensional tensor, where m, nare some positive integers and N:= m(n−1).Then is called a Hankel tensor associated with a vector if 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.
Tensor / convolution / Hankel tensor / elementary Hankel tensor / symmetric tensor
[1] |
ChenY, QiL, WangQ. Computing extreme eigenvalues of large scale Hankel tensors. J Sci Comput, 2016, 68: 716–738
CrossRef
Google scholar
|
[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
CrossRef
Google scholar
|
[3] |
ComonP, GolubG, LimL H, MourrainB. Symmetric tensors and symmetric tensor rank.SIAM J Matrix Anal Appl, 2008, 30: 1254–1279
CrossRef
Google scholar
|
[4] |
DingW, QiL, WeiY. Fast Hankel tensor-vector product and its application to exponential data fitting.Numer Linear Algebra Appl, 2015, 22: 814–832
CrossRef
Google scholar
|
[5] |
DingW, QiL, WeiY. Inheritance properties and sum-of-squares decomposition of Hankel tensors: theory and algorithms.BIT, 2017, 57: 169–190
CrossRef
Google scholar
|
[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
CrossRef
Google scholar
|
[7] |
HillarC J, LimL-H. Most tensor problems are NP-hard.J ACM, 2013, 60(6): 1–45
CrossRef
Google scholar
|
[8] |
LiG, QiL, WangQ. Positive semi-definiteness of generalized anti-circular tensors.Commun Math Sci, 2016, 14: 941–952
CrossRef
Google scholar
|
[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
CrossRef
Google scholar
|
[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
CrossRef
Google scholar
|
[14] |
QiL. Symmetric nonnegative tensors and copositive tensors.Linear Algebra Appl, 2013, 439: 228–238
CrossRef
Google scholar
|
[15] |
QiL. Hankel tensors: Associated Hankel matrices and Vandermonde decomposition.Commun Math Sci, 2015, 13: 113–125
CrossRef
Google scholar
|
[16] |
VarahJ M. Positive definite Hankel matrices of minimal condition.Linear Algebra Appl, 2003, 368: 303–314
CrossRef
Google scholar
|
[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
CrossRef
Google scholar
|
/
〈 | 〉 |