Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68304
Title: Inheritance properties and sum-of-squares decomposition of Hankel tensors : theory and algorithms
Authors: Ding, WY
Qi, LQ 
Wei, YM
Keywords: Hankel tensor
Inheritance property
Positive semi-definite tensor
Sum-of-squares
Convolution
Issue Date: 2017
Publisher: Springer Netherlands
Source: BIT. Numerical mathematics, 2017, v. 57, no. 1, p. 169-190 How to cite?
Journal: BIT. Numerical mathematics::journal02308::600 
Abstract: In this paper, we show that if a lower-order Hankel tensor is positive semi-definite (or positive definite, or negative semi-definite, or negative definite, or SOS), then its associated higher-order Hankel tensor with the same generating vector, where the higher order is a multiple of the lower order, is also positive semi-definite (or positive definite, or negative semi-definite, or negative definite, or SOS, respectively). Furthermore, in this case, the extremal H-eigenvalues of the higher order tensor are bounded by the extremal H-eigenvalues of the lower order tensor, multiplied with some constants. Based on this inheritance property, we give a concrete sum-of-squares decomposition for each strong Hankel tensor. Then we prove the second inheritance property of Hankel tensors, i.e., a Hankel tensor has no negative (or non-positive, or positive, or nonnegative) H-eigenvalues if the associated Hankel matrix of that Hankel tensor has no negative (or non-positive, or positive, or nonnegative, respectively) eigenvalues. In this case, the extremal H-eigenvalues of the Hankel tensor are also bounded by the extremal eigenvalues of the associated Hankel matrix, multiplied with some constants. The third inheritance property of Hankel tensors is raised as a conjecture.
URI: http://hdl.handle.net/10397/68304
ISSN: 0006-3835
EISSN: 1572-9125
DOI: 10.1007/s10543-016-0622-0
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