Real eigenvalues of nonsymmetric tensors
Jiawang Nie () and
Xinzhen Zhang ()
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Jiawang Nie: University of California San Diego
Xinzhen Zhang: Tianjin University
Computational Optimization and Applications, 2018, vol. 70, issue 1, No 1, 32 pages
Abstract:
Abstract This paper discusses the computation of real $$\mathtt {Z}$$ Z -eigenvalues and $$\mathtt {H}$$ H -eigenvalues of nonsymmetric tensors. A generic nonsymmetric tensor has finitely many Z-eigenvalues, while there may be infinitely many ones for special tensors. The number of $$\mathtt {H}$$ H -eigenvalues is finite for all tensors. We propose Lasserre type semidefinite relaxation methods for computing such eigenvalues. For every tensor that has finitely many real $$\mathtt {Z}$$ Z -eigenvalues, we can compute all of them; each of them can be computed by solving a finite sequence of semidefinite relaxations. For every tensor, we can compute all its real $$\mathtt {H}$$ H -eigenvalues; each of them can be computed by solving a finite sequence of semidefinite relaxations.
Keywords: Tensor; $$\mathtt {Z}$$ Z -eigenvalue; $$\mathtt {H}$$ H -eigenvalue; Lasserre’s hierarchy; Semidefinite relaxation; 15A18; 15A69; 90C22 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (5)
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DOI: 10.1007/s10589-017-9973-y
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