positive semidefiniteness
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Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1990
Author(s):  
Germain Pastén ◽  
Oscar Rojo ◽  
Luis Medina

For α∈[0,1], let Aα(Gσ)=αD(G)+(1−α)A(Gσ), where G is a simple undirected graph, D(G) is the diagonal matrix of its vertex degrees and A(Gσ) is the adjacency matrix of the signed graph Gσ whose underlying graph is G. In this paper, basic properties of Aα(Gσ) are obtained, its positive semidefiniteness is studied and some bounds on its eigenvalues are derived—in particular, lower and upper bounds on its largest eigenvalue are obtained.


2020 ◽  
Vol 27 (01) ◽  
pp. 1-10
Author(s):  
Keiji Ito ◽  
Akihiro Munemasa

For fiber-commutative coherent configurations, we show that Krein parameters can be defined essentially uniquely. As a consequence, the general Krein condition reduces to positive semidefiniteness of finitely many matrices determined by the parameters of a coherent configuration. We mention its implications in the coherent configuration defined by a generalized quadrangle. We also simplify the absolute bound using the matrices of Krein parameters.


2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Gang Wang ◽  
Lihong Sun

In this paper, we propose an improved power algorithm for finding maximal eigenvalues. Without any partition, we can get the maximal eigenvalue and show that the modified power algorithm is convergent for zero symmetric reducible nonnegative matrices. Numerical results are reported to demonstrate the effectiveness of the modified power algorithm. Finally, a modified algorithm is proposed to test the positive definiteness (positive semidefiniteness) of Z-matrices.


2017 ◽  
Vol 519 ◽  
pp. 156-163 ◽  
Author(s):  
Vladimir Nikiforov ◽  
Oscar Rojo

2017 ◽  
Vol 236 (2) ◽  
pp. 143-192 ◽  
Author(s):  
Fritz Gesztesy ◽  
Michael Pang

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