Results 1 to 10 of about 1,428 (139)

Fall Detection of Elderly People Using the Manifold of Positive Semidefinite Matrices [PDF]

open access: yesJournal of Imaging, 2021
Falls are one of the most critical health care risks for elderly people, being, in some adverse circumstances, an indirect cause of death. Furthermore, demographic forecasts for the future show a growing elderly population worldwide.
Abdessamad Youssfi Alaoui   +5 more
doaj   +2 more sources

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   +2 more sources

Low-rank matrix approximations over canonical subspaces

open access: yesJournal of Numerical Analysis and Approximation Theory, 2020
In this paper we derive closed form expressions for the nearest rank-\(k\) matrix on canonical subspaces.    We start by studying three kinds of subspaces.  Let \(X\) and \(Y\) be a pair of given matrices. The first subspace contains all the \(m\times
Achiya Dax
doaj   +7 more sources

On Some Matrix Trace Inequalities

open access: yesJournal of Inequalities and Applications, 2010
We first present an inequality for the Frobenius norm of the Hadamard product of two any square matrices and positive semidefinite matrices. Then, we obtain a trace inequality for products of two positive semidefinite block matrices by using 2×2 ...
Ramazan Türkmen   +1 more
doaj   +2 more sources

Sparse Sums of Positive Semidefinite Matrices [PDF]

open access: yesACM Transactions on Algorithms, 2015
Many fast graph algorithms begin by preprocessing the graph to improve its sparsity. A common form of this is spectral sparsification, which involves removing and reweighting the edges of the graph while approximately preserving its spectral properties. This task has a more general linear algebraic formulation in terms of approximating sums of rank-one
de Carli Silva, Marcel K.   +2 more
openaire   +3 more sources

Affine Processes on Positive Semidefinite Matrices [PDF]

open access: yesSSRN Electronic Journal, 2009
This article provides the mathematical foundation for stochastically continuous affine processes on the cone of positive semidefinite symmetric matrices. This analysis has been motivated by a large and growing use of matrix-valued affine processes in finance, including multi-asset option pricing with stochastic volatility and correlation structures ...
Cuchiero, Christa   +3 more
openaire   +6 more sources

Monotonicity of Positive Semidefinite Hermitian Matrices [PDF]

open access: yesProceedings of the American Mathematical Society, 1972
Inequalities which compare elements of the convex cone of positive semidefinite hermitian matrices with products of roots of elements are proved. They yield inequalities for Schur functions (generalized matrix functions) which, when specialized to the determinant, give a result of R. Bellman and L. Mirsky.
Merris, R., Pierce, Stephen
openaire   +2 more sources

A trace bound for integer-diagonal positive semidefinite matrices

open access: yesSpecial Matrices, 2020
We prove that an n-by-n complex positive semidefinite matrix of rank r whose graph is connected, whose diagonal entries are integers, and whose non-zero off-diagonal entries have modulus at least one, has trace at least n + r − 1.
Mitchell Lon
doaj   +1 more source

Separability for mixed states with operator Schmidt rank two [PDF]

open access: yesQuantum, 2019
The operator Schmidt rank is the minimum number of terms required to express a state as a sum of elementary tensor factors. Here we provide a new proof of the fact that any bipartite mixed state with operator Schmidt rank two is separable, and can be ...
Gemma De las Cuevas   +2 more
doaj   +1 more source

Fischer Type Log-Majorization of Singular Values on Partitioned Positive Semidefinite Matrices

open access: yesJournal of Function Spaces, 2021
In this paper, we establish a Fischer type log-majorization of singular values on partitioned positive semidefinite matrices, which generalizes the classical Fischer's inequality. Meanwhile, some related and new inequalities are also obtained.
Benju Wang, Yun Zhang
doaj   +1 more source

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