Rank-r decomposition of symmetric tensors
Jie WEN, Qin NI, Wenhuan ZHU
Rank-r decomposition of symmetric tensors
An algorithm is presented for decomposing a symmetric tensor into a sum of rank-1 symmetric tensors. For a given tensor, by using apolarity, catalecticant matrices and the condition that the mapping matrices are commutative, the rank of the tensor can be obtained by iteration. Then we can find the generating polynomials under a selected basis set. The decomposition can be constructed by the solutions of generating polynomials under the condition that the solutions are all distinct which can be guaranteed by the commutative property of the matrices. Numerical examples demonstrate the efficiency and accuracy of the proposed method.
Symmetric tensor / symmetric rank / decomposition / generating polynomial / catalectieant matrix
[1] |
AlexanderJ, HirschowitzA. Polynomial interpolation in several variables.J Algebraic Geom, 1995, 4: 201–222
|
[2] |
BallicoE. On the typical rank of real bivariate polynomials.Linear Algebra Appl,2014, 452(1): 263–269
CrossRef
Google scholar
|
[3] |
BallicoE, BernardiA. Decomposition of homogeneous polynomials with low rank.Math Z, 2012, 271(3): 1141–1149
CrossRef
Google scholar
|
[4] |
BatselierK, WongN. Symmetric tensor decomposition by an iterative eigendecomposition algorithm.J Comput Appl Math, 2016, 308(15): 69–82
CrossRef
Google scholar
|
[5] |
BernardiA, GimiglianoA, Id`aM. Computing symmetric rank for symmetric tensors.J Symbolic Comput, 2011, 46(1): 34–53
CrossRef
Google scholar
|
[6] |
BrachatJ, ComonP, MourrainB, Tsigaridas E. Symmetric tensor decomposition.Linear Algebra Appl,2010, 433(11-12): 1851–1872
CrossRef
Google scholar
|
[7] |
BuczynskaW, BuczynskiJ. Secant varieties to high degree Veronese reembeddings, catalecticant matrices and smoothable Gorenstein schemes.J Algebraic Geom, 2014, 23(1): 63–90
CrossRef
Google scholar
|
[8] |
ComonP. Tensors: a brief introduction.IEEE Signal Processing Magazine, 2014, 31(3): 44–53
CrossRef
Google scholar
|
[9] |
ComonP, GolubG, LimL H, MourrainB. Symmetric tensors and symmetric tensor rank.SIAM J Matrix Anal Appl,2008, 30(3): 1254–1279
CrossRef
Google scholar
|
[10] |
FriedlandS. Remarks on the symmetric rank of symmetric tensors.SIAM J Matrix Anal Appl, 2016: 37(1): 320–337
CrossRef
Google scholar
|
[11] |
HillarC, LimL H. Most tensor problems are NP-hard.J ACM,2013, 60(6): 45
CrossRef
Google scholar
|
[12] |
JiangB, LiZ N. ZhangS Z. Characterizing real-valued multivariate complex polynomials and their symmetric tensor representations.SIAM J Matrix Anal Appl,2016, 37(1): 381–408
CrossRef
Google scholar
|
[13] |
LandsbergJ M. Tensors: Geometry and Applications.Grad Stud Math, Vol 128. Providence: Amer Math Soc, 2012
|
[14] |
NieJ. Generating polynomials and symmetric tensor decompositions.Found Comput Math,
CrossRef
Google scholar
|
[15] |
OedingL, OttaavianiG. Eigenvectors of tensors and algorithms for Waring decomposition.J Symbolic Comput,2013, 54: 9–35
CrossRef
Google scholar
|
[16] |
RobevaE. Orthogonal decomposition of symmetric tensor.SIAM J Matrix Anal Appl,2016, 37(1): 86–102
CrossRef
Google scholar
|
[17] |
SturmfelsB. Solving Systems of Polynomial Equations.CBMS Regional Conference Series in Mathematics, No 97. Providence: Amer Math Soc, 2002
CrossRef
Google scholar
|
/
〈 | 〉 |