$SDD_1$ tensors and $B_1$-tensors

Strong $\mathcal{H}$-tensors play an important role in the fields of science and engineering. In this paper, we first propose a new subclass of strong $\mathcal{H}$-tensors that we call the class of $SDD_1$ tensors. We also prove that if a tensor is an $SDD_1$ tensor, it is a strong $\mathcal{H}$-tensor. As an application, a sufficient condition for an $SDD_1$ tensor to certify positive definiteness of even-order real symmetric tensors is proposed. Furthermore, we propose a new class of tensors by means of $SDD_1$ tensors, naming it $B_1$-tensors, and show that $B$-tensors are a subclass of it. Meanwhile, some properties of $B_1$-tensor were introduced. The numerical examples demonstrate the validity of our results.

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Publication Details

Journal
Electronic Journal of Linear Algebra
Published
2024-08-09
DOI
https://doi.org/10.13001/ela.2024.8569
Citations
1
Primary Topic
Tensor decomposition and applications
Type
article
Field-Weighted Citation Impact
0.33
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article

$SDD_1$ tensors and $B_1$-tensors

Yaqiang Wang, Weiting Duan, Dekun Wen
1 citations
Electronic Journal of Linear Algebra
Tensor decomposition and applications
0.33
article

$SDD_1$ tensors and $B_1$-tensors

Yaqiang Wang, Weiting Duan, Dekun Wen
article en
1 citations

Abstract

Strong $\mathcal{H}$-tensors play an important role in the fields of science and engineering. In this paper, we first propose a new subclass of strong $\mathcal{H}$-tensors that we call the class of $SDD_1$ tensors. We also prove that if a tensor is an $SDD_1$ tensor, it is a strong $\mathcal{H}$-tensor. As an application, a sufficient condition for an $SDD_1$ tensor to certify positive definiteness of even-order real symmetric tensors is proposed. Furthermore, we propose a new class of tensors by means of $SDD_1$ tensors, naming it $B_1$-tensors, and show that $B$-tensors are a subclass of it. Meanwhile, some properties of $B_1$-tensor were introduced. The numerical examples demonstrate the validity of our results.

Electronic Journal of Linear AlgebraVol. 40
Baoji University of Arts and Sciences (CN)
Openalex Percentile: Top 52%
Tensor decomposition and applications
0.33
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