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Frontiers of Mathematics in China

ISSN 1673-3452

ISSN 1673-3576(Online)

CN 11-5739/O1

邮发代号 80-964

2019 Impact Factor: 1.03

Frontiers of Mathematics in China  2017, Vol. 12 Issue (6): 1339-1355   https://doi.org/10.1007/s11464-017-0632-5
  本期目录
Rank-r decomposition of symmetric tensors
Jie WEN(), Qin NI, Wenhuan ZHU
College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
 全文: PDF(186 KB)  
Abstract

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.

Key wordsSymmetric tensor    symmetric rank    decomposition    generating polynomial    catalectieant matrix
收稿日期: 2016-09-28      出版日期: 2017-11-27
Corresponding Author(s): Jie WEN   
 引用本文:   
. [J]. Frontiers of Mathematics in China, 2017, 12(6): 1339-1355.
Jie WEN, Qin NI, Wenhuan ZHU. Rank-r decomposition of symmetric tensors. Front. Math. China, 2017, 12(6): 1339-1355.
 链接本文:  
https://academic.hep.com.cn/fmc/CN/10.1007/s11464-017-0632-5
https://academic.hep.com.cn/fmc/CN/Y2017/V12/I6/1339
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
https://doi.org/10.1016/j.laa.2014.04.001
3 BallicoE, BernardiA. Decomposition of homogeneous polynomials with low rank.Math Z, 2012, 271(3): 1141–1149
https://doi.org/10.1007/s00209-011-0907-6
4 BatselierK, WongN. Symmetric tensor decomposition by an iterative eigendecomposition algorithm.J Comput Appl Math, 2016, 308(15): 69–82
https://doi.org/10.1016/j.cam.2016.05.024
5 BernardiA, GimiglianoA, Id`aM. Computing symmetric rank for symmetric tensors.J Symbolic Comput, 2011, 46(1): 34–53
https://doi.org/10.1016/j.jsc.2010.08.001
6 BrachatJ, ComonP, MourrainB, Tsigaridas E. Symmetric tensor decomposition.Linear Algebra Appl,2010, 433(11-12): 1851–1872
https://doi.org/10.1016/j.laa.2010.06.046
7 BuczynskaW, BuczynskiJ. Secant varieties to high degree Veronese reembeddings, catalecticant matrices and smoothable Gorenstein schemes.J Algebraic Geom, 2014, 23(1): 63–90
https://doi.org/10.1090/S1056-3911-2013-00595-0
8 ComonP. Tensors: a brief introduction.IEEE Signal Processing Magazine, 2014, 31(3): 44–53
https://doi.org/10.1109/MSP.2014.2298533
9 ComonP, GolubG, LimL H, MourrainB. Symmetric tensors and symmetric tensor rank.SIAM J Matrix Anal Appl,2008, 30(3): 1254–1279
https://doi.org/10.1137/060661569
10 FriedlandS. Remarks on the symmetric rank of symmetric tensors.SIAM J Matrix Anal Appl, 2016: 37(1): 320–337
https://doi.org/10.1137/15M1022653
11 HillarC, LimL H. Most tensor problems are NP-hard.J ACM,2013, 60(6): 45
https://doi.org/10.1145/2512329
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
https://doi.org/10.1137/141002256
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,
https://doi.org/10.1007/s10208-015-9291-7
15 OedingL, OttaavianiG. Eigenvectors of tensors and algorithms for Waring decomposition.J Symbolic Comput,2013, 54: 9–35
https://doi.org/10.1016/j.jsc.2012.11.005
16 RobevaE. Orthogonal decomposition of symmetric tensor.SIAM J Matrix Anal Appl,2016, 37(1): 86–102
https://doi.org/10.1137/140989340
17 SturmfelsB. Solving Systems of Polynomial Equations.CBMS Regional Conference Series in Mathematics, No 97. Providence: Amer Math Soc, 2002
https://doi.org/10.1090/cbms/097
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