An n-by-n matrix is called almost normal if the maximal cardinality of a set of orthogonal eigenvectors is at least n-1. We give several basic properties of almost normal matrices, in addition to studying their numerical ranges and Aluthge transforms. First, a criterion for these matrices to be unitarily irreducible is established, in addition to a criterion for the conjugate transpose of an almost normal matrix to be almost normal and a formula for the rank of the self commutator of an almost normal matrix. We then show that unitarily irreducible almost normal matrices cannot have flat portions on the boundary of their numerical ranges and that the Aluthge transform of an almost normal matrix is never normal when n > 2 and the almost norm...
We study classes of matrices defined by various normality properties with respect to an indefinite (...
AbstractSuppose that is said to be subnormal if there exist matrices X and Y such that is normal. We...
AbstractRecently new optimal Krylov subspace methods have been discovered for normal matrices. In li...
An n-by-n matrix is called almost normal if the maximal cardinality of a set of orthogonal eigenvect...
In this paper we study the structure of almost normal matrices, that is the matrices for which there...
In this paper we study the structure of almost normal matrices, that is the matrices for which there...
AbstractIn hopes that it will be useful to a wide audience, a long list of conditions on an n-by-n c...
We develop a general theory of almost Hadamard matrices. These are by definition the matrices H ∈ MN...
AbstractIn hopes that it will be useful to a wide audience, a long list of conditions on an n-by-n c...
AbstractIt is proved that a matrix is almost normal if and only if its singular values are close to ...
Abstract. The normal sequencesNS(n) and near-normal sequences NN(n) play an important role in the co...
AbstractConjugate-normal matrices play the same important role in the theory of unitary congruence a...
grantor: University of TorontoWe give a short and elementary proof of Huaxin Lin's theorem...
grantor: University of TorontoWe give a short and elementary proof of Huaxin Lin's theorem...
It is well known that if a matrix A∈Cn×n solves the matrix equation f(A,A^H)=0,where f(x,y) is a lin...
We study classes of matrices defined by various normality properties with respect to an indefinite (...
AbstractSuppose that is said to be subnormal if there exist matrices X and Y such that is normal. We...
AbstractRecently new optimal Krylov subspace methods have been discovered for normal matrices. In li...
An n-by-n matrix is called almost normal if the maximal cardinality of a set of orthogonal eigenvect...
In this paper we study the structure of almost normal matrices, that is the matrices for which there...
In this paper we study the structure of almost normal matrices, that is the matrices for which there...
AbstractIn hopes that it will be useful to a wide audience, a long list of conditions on an n-by-n c...
We develop a general theory of almost Hadamard matrices. These are by definition the matrices H ∈ MN...
AbstractIn hopes that it will be useful to a wide audience, a long list of conditions on an n-by-n c...
AbstractIt is proved that a matrix is almost normal if and only if its singular values are close to ...
Abstract. The normal sequencesNS(n) and near-normal sequences NN(n) play an important role in the co...
AbstractConjugate-normal matrices play the same important role in the theory of unitary congruence a...
grantor: University of TorontoWe give a short and elementary proof of Huaxin Lin's theorem...
grantor: University of TorontoWe give a short and elementary proof of Huaxin Lin's theorem...
It is well known that if a matrix A∈Cn×n solves the matrix equation f(A,A^H)=0,where f(x,y) is a lin...
We study classes of matrices defined by various normality properties with respect to an indefinite (...
AbstractSuppose that is said to be subnormal if there exist matrices X and Y such that is normal. We...
AbstractRecently new optimal Krylov subspace methods have been discovered for normal matrices. In li...