Results 11 to 20 of about 90,052 (252)

Some inequalities for the Fan product of M-tensors [PDF]

open access: yesJournal of Inequalities and Applications, 2018
In this paper, we investigate some inequalities for the Fan product of M-tensors. We propose exact characterizations of M-tensors and establish some inequalities on the minimum eigenvalue for the Fan product of two M-tensors.
Gang Wang, Yanan Wang, Yuan Zhang
doaj   +5 more sources

Some Bounds on Eigenvalues of the Hadamard Product and the Fan Product of Matrices [PDF]

open access: yesMathematics, 2019
In this paper, an upper bound on the spectral radius ρ ( A ∘ B ) for the Hadamard product of two nonnegative matrices (A and B) and the minimum eigenvalue τ ( C ★ D ) of the Fan product of two M-matrices (C and D) are researched.
Qianping Guo   +3 more
doaj   +5 more sources

New inequalities on the Fan product of M-matrices

open access: yesJournal of Inequalities and Applications
This paper focuses on the minimum eigenvalue involving the Fan product. By utilizing the Hölder inequality and the classic eigenvalue inclusion theorem, we introduce two novel lower bounds for τ ( A 1 ⋆ A 2 ) $\tau \left ( A_{1}\star A_{2} \right ...
Qin Zhong, Na Li, Chunlan Li
doaj   +2 more sources

Matrix Inequalities for the Fan Product and the Hadamard Product of Matrices

open access: yesAdvances in Linear Algebra & Matrix Theory, 2015
A new inequality on the minimum eigenvalue for the Fan product of nonsingular M-matrices is given. In addition, a new inequality on the spectral radius of the Hadamard product of nonnegative matrices is also obtained. These inequalities can improve considerably some previous results.
Dongjie Gao
exaly   +3 more sources

On two inequalities for the Hadamard product and the Fan product of matrices

open access: yesLinear Algebra and Its Applications, 2009
The authors find an upper bound for the spectral radius of the Hadamard product of nonnegative matrices, and a lower bound for the Fan product of non-singular M-matrices. In both cases they improve over previous results from \textit{M. Fang} [Linear Algebra Appl. 425, No.~1, 7--15 (2007; Zbl 1128.15011)].
Liu, Qingbing, Chen, Guoliang
exaly   +3 more sources

Bound Estimations on the Eigenvalues for Fan Product of $M$-tensors

open access: yesTaiwanese Journal of Mathematics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yiju Wang
exaly   +3 more sources

Some inequalities for the Hadamard product and the Fan product of matrices

open access: yesLinear Algebra and Its Applications, 2008
Let the matrices \(A=(a_{ij})\) and \(B=(b_{ij})\) have the same dimensions. The Hadamard product of \(A\) and \(B\) is defined by \(A\circ B=(a_{ij}b_{ij})\). The Fan product of \(A\) and \(B\) is defined by \(A\star B=(c_{ij})\), where \[ c_{ij}=\begin{cases} -a_{ij}b_{ij}, \quad &i\not=j\\ \phantom{-}a_{ii}b_{ii}, &i=j. \end{cases} \] An \(n\times n\
exaly   +2 more sources

Bounds on eigenvalues of the Hadamard product and the Fan product of matrices

open access: yesLinear Algebra and Its Applications, 2007
The author presents an upper bound for the spectral radius of the Hadamard product of two nonegative matrices \[ \rho(A\circ B)\leq \max_{1\leq i\leq n}\{2a_{ii}b_{ii}+ \rho(A)\rho(B)-a_{ii}\rho(B)-b_{ii}\rho(A)\} \] where \(A=(a_{ij})\) and \(B=(b_{ij})\) are nonnegative \(n\times n\) matrices, and a lower bound for the minimal eigenvalue of the Fan ...
exaly   +2 more sources

New Eigenvalue Inequalities for the Hadamard Product and Fan Product of Structured Tensors

open access: yesTaiwanese Journal of Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xu, Yangyang   +3 more
exaly   +3 more sources

NEW BOUNDS FOR EIGENVALUES OF THE HADAMARD PRODUCT AND THE FAN PRODUCT OF MATRICES

open access: yesTaiwanese Journal of Mathematics, 2014
In this paper, we proposed some lower bounds for the minimum eigenvalue of the Fan product of $M$-matrices, and a upper bound for the spectral radius of the Hadamard product of nonnegative matrices. These improve two existing results. To illustrate our results, two simple examples are considered.
exaly   +3 more sources

Home - About - Disclaimer - Privacy