In traditional years, fully indecomposable matrices have played an vital part in various research topics. For example, they have been used in establishing a necessary condition for a matrix to have a positive inverse also, in the case of simultaneously row and column scaling sub ordinate to the unitarily invariant norms, the minimal condition number diagonalizable, sub stochastic matrices , Kronecker products is achieved for fully indecomposable matrices. In the existence of diagonal matrices D1 and D2 , with strictly positive diagonal elements, such that D1 AD2 is quaternion doubly stochastic, is established for an nXn non negative fully indecomposable matrix A. In a related scaling for fully indecomposable non negative rectangular matrice...
We propose a unitary diagonalisation of a special class of quaternion matrices, the so-called ηη-Her...
AbstractWe propose a unitary diagonalisation of a special class of quaternion matrices, the so-calle...
AbstractWe consider a nonnegative irreducible matrix A in Perron-Frobenius-Wielandt normal form with...
It is easy to verify that if A is a doubly stochastic matrix, then both its normal equations AAT and...
The purpose of this paper is to locate and estimate the eigen values of quaternion doubly stochastic...
It was previously shown by Sinkhorn that the sequence of matrices generated by alternately normalizi...
AbstractMatrix scaling problems have been extensively studied since Sinkhorn established in 1964 the...
In this paper various properties of fully indecomposable matrices are investigated. Several integer-...
International audienceWe can apply a two-sided diagonal scaling to a nonnegativematrix to render it ...
We propose a unitary diagonalisation of a special class of quaternion matrices, the so-called η-Herm...
Elsner L, Friedland S. Singular values, doubly stochastic matrices, and applications. Linear Algebra...
AbstractThis paper extends the notion of diagonal sums of a square matrix to “weighted diagonal sums...
A list of complex numbers Λ = { λ1, . . . , λn} is said to be realizable if it is the spectrum of an...
AbstractA complex matrix is doubly quasistochastic if all its row sums and column sums are 1. Matric...
AbstractNew methods for scaling square, nonnegative matrices to doubly stochastic form are described...
We propose a unitary diagonalisation of a special class of quaternion matrices, the so-called ηη-Her...
AbstractWe propose a unitary diagonalisation of a special class of quaternion matrices, the so-calle...
AbstractWe consider a nonnegative irreducible matrix A in Perron-Frobenius-Wielandt normal form with...
It is easy to verify that if A is a doubly stochastic matrix, then both its normal equations AAT and...
The purpose of this paper is to locate and estimate the eigen values of quaternion doubly stochastic...
It was previously shown by Sinkhorn that the sequence of matrices generated by alternately normalizi...
AbstractMatrix scaling problems have been extensively studied since Sinkhorn established in 1964 the...
In this paper various properties of fully indecomposable matrices are investigated. Several integer-...
International audienceWe can apply a two-sided diagonal scaling to a nonnegativematrix to render it ...
We propose a unitary diagonalisation of a special class of quaternion matrices, the so-called η-Herm...
Elsner L, Friedland S. Singular values, doubly stochastic matrices, and applications. Linear Algebra...
AbstractThis paper extends the notion of diagonal sums of a square matrix to “weighted diagonal sums...
A list of complex numbers Λ = { λ1, . . . , λn} is said to be realizable if it is the spectrum of an...
AbstractA complex matrix is doubly quasistochastic if all its row sums and column sums are 1. Matric...
AbstractNew methods for scaling square, nonnegative matrices to doubly stochastic form are described...
We propose a unitary diagonalisation of a special class of quaternion matrices, the so-called ηη-Her...
AbstractWe propose a unitary diagonalisation of a special class of quaternion matrices, the so-calle...
AbstractWe consider a nonnegative irreducible matrix A in Perron-Frobenius-Wielandt normal form with...