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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) : 1303-1317    https://doi.org/10.1007/s11464-017-0662-z
RESEARCH ARTICLE
Linear homotopy method for computing generalized tensor eigenpairs
Liping CHEN1, Lixing HAN2(), Liangmin ZHOU1
1. Department of Mathematics, Michigan State University, East Lansing, MI 48824, USA
2. Department of Mathematics, University of Michigan-Flint, Flint, MI 48502, USA
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Abstract

Let m, m, n be positive integers such that mm. Let A be an mth order n-dimensional tensor, and let B be an mth order n-dimensional tensor. λ ∈ ? is called a B-eigenvalue of A if Axm1=λBxm1 and Bxm=1 for some x?n\{0}. In this paper, we propose a linear homotopy method for solving this eigenproblem. We prove that the method finds all isolated B-eigenpairs. Moreover, it is easy to implement. Numerical results are provided to show the efficiency of the proposed method.

Keywords Tensors      generalized eigenpairs      polynomial systems      linear homotopy     
Corresponding Author(s): Lixing HAN   
Issue Date: 27 November 2017
 Cite this article:   
Liping CHEN,Lixing HAN,Liangmin ZHOU. Linear homotopy method for computing generalized tensor eigenpairs[J]. Front. Math. China, 2017, 12(6): 1303-1317.
 URL:  
https://academic.hep.com.cn/fmc/EN/10.1007/s11464-017-0662-z
https://academic.hep.com.cn/fmc/EN/Y2017/V12/I6/1303
1 BatesD L, HauensteinJ D, SommeseA J, WamplerC W. Numerically Solving Polynomial Systems with Bertini.Philadelphia: SIAM,2013
2 CartwrightD, SturmfelsB. The number of eigenvalues of a tensor.Linear Algebra Appl, 2013, 438: 942–952
https://doi.org/10.1016/j.laa.2011.05.040
3 ChangK C, PearsonK, ZhangT. On eigenvalues of real symmetric tensors.J Math Anal Appl, 2009, 350: 416–422
https://doi.org/10.1016/j.jmaa.2008.09.067
4 ChenL, HanL, ZhouL. Computing tensor eigenvalues via homotopy methods.SIAM J Matrix Anal Appl, 2016, 37(1): 290–319
https://doi.org/10.1137/15M1010725
5 CuiC, DaiY-H, NieJ. All real eigenvalues of symmetric tensors. SIAM J Matrix Anal Appl,2014, 35: 1582–1601
https://doi.org/10.1137/140962292
6 HuberB, SturmfelsB. A polyhedral method for solving sparse polynomial systems. Math Comp, 1995, 64: 1541–1555
https://doi.org/10.1090/S0025-5718-1995-1297471-4
7 LiT Y. Solving polynomial systems by the homotopy continuation method.In: Ciarlet P G, ed. Handbook of Numerial Analysis, XI. Amsterdam: North-Holland, 2003, 209–304
https://doi.org/10.1016/S1570-8659(02)11004-0
8 LimL-H. Singular values and eigenvalues of tensors: a variational approach.In: Proceedings of the IEEE InternationalWorkshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP’05), Vol 1. 2005, 129–132
9 MorganA P. Solving Polynomial Systems Using Continuation for Engineering and Scientific Problems.Philadelphia: SIAM, 2009
https://doi.org/10.1137/1.9780898719031
10 QiL. Eigenvalues of a real supersymmetric tensor.J Symbolic Comput, 2005, 40: 1302–1324
https://doi.org/10.1016/j.jsc.2005.05.007
11 QiL, WangY, WuE X. D-eigenvalues of diffusion kurtosis tensors.J Comput Appl Math, 2008, 221: 150–157
https://doi.org/10.1016/j.cam.2007.10.012
12 SommeseA J, WamplerW W. The Numerical Solution of Systems of Polynomials Arising in Engineering and Science.Singapore: World Scientific Pub Co Inc, 2005
https://doi.org/10.1142/5763
13 WrightA H. Finding all solutions to a system of a polynomial equations.Math Comp, 1985, 44: 125–133
https://doi.org/10.1090/S0025-5718-1985-0771035-4
14 ZengZ, LiT Y. NACLab, A Matlab toolbox for numerical algebraic computation.ACM Commun Comput Algebra, 2013, 47: 170–173
https://doi.org/10.1145/2576802.2576829
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