Results 1 to 10 of about 219 (51)

Equality in Wielandt’s eigenvalue inequality

open access: yesSpecial Matrices, 2015
In this paper we give necessary and sufficient conditions for the equality case in Wielandt’s eigenvalue inequality.
Friedland Shmuel
doaj   +4 more sources

A matrix-algebraic algorithm for the Riemannian logarithm on the Stiefel manifold under the canonical metric [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2017
We derive a numerical algorithm for evaluating the Riemannian logarithm on the Stiefel manifold with respect to the canonical metric. In contrast to the existing optimization-based approach, we work from a purely matrix-algebraic perspective.
Zimmermann, Ralf
core   +4 more sources

Cospectral constructions for several graph matrices using cousin vertices

open access: yesSpecial Matrices, 2021
Graphs can be associated with a matrix according to some rule and we can find the spectrum of a graph with respect to that matrix. Two graphs are cospectral if they have the same spectrum.
Lorenzen Kate
doaj   +1 more source

Combinatorial properties of the enhanced principal rank characteristic sequence over finite fields

open access: yesSpecial Matrices, 2021
The enhanced principal rank characteristic sequence (epr-sequence) of a symmetric matrix B ∈ 𝔽n×n is defined as ℓ1ℓ2· · · ℓn, where ℓj ∈ {A, S, N} according to whether all, some but not all, or none of the principal minors of order j of B are nonzero ...
Dukes Peter J., Martínez-Rivera Xavier
doaj   +1 more source

Fast iterative solutions of Riccati and Lyapunov equations

open access: yesOpen Mathematics, 2022
In this article, new iterative algorithms for solving the discrete Riccati and Lyapunov equations are derived in the case where the transition matrix is diagonalizable with real eigenvalues.
Assimakis Nicholas, Adam Maria
doaj   +1 more source

The complete positivity of symmetric tridiagonal and pentadiagonal matrices

open access: yesSpecial Matrices, 2022
We provide a decomposition that is sufficient in showing when a symmetric tridiagonal matrix AA is completely positive. Our decomposition can be applied to a wide range of matrices.
Cao Lei, McLaren Darian, Plosker Sarah
doaj   +1 more source

The minimum number of multiplicity 1 eigenvalues among real symmetric matrices whose graph is a nonlinear tree

open access: yesSpecial Matrices, 2021
In the study of eigenvalues, multiplicities, and graphs, the minimum number of multiplicities equal to 1 in a real symmetric matrix with graph G, U(G), is an important constraint on the possible multiplicity lists among matrices in 𝒮(G).
Ding Wenxuan, Johnson Charles R.
doaj   +1 more source

Skew-symmetric matrices related to the vector cross product in ℂ7

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2023
Skew-symmetric matrices of order 7 defined through the 2-fold vector cross product in ℂ7, and other related matrices, are presented. More concretely, matrix properties, namely invertibility, nullspace, powers and index, are studied.
Beites P. D.   +2 more
doaj   +1 more source

Trace inequalities for positive semidefinite matrices

open access: yesDiscussiones Mathematicae - General Algebra and Applications, 2017
Certain trace inequalities for positive definite matrices are generalized for positive semidefinite matrices using the notion of the group generalized inverse.
Choudhury Projesh Nath, Sivakumar K.C.
doaj   +1 more source

Orthogonal Representations, Projective Rank, and Fractional Minimum Positive Semidefinite Rank: Connections and New Directions [PDF]

open access: yes, 2017
Fractional minimum positive semidefinite rank is defined from r-fold faithful orthogonal representations and it is shown that the projective rank of any graph equals the fractional minimum positive semidefinite rank of its complement.
Hogben, L   +3 more
core   +1 more source

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