AbstractA square matrix is called Hessenberg whenever each entry below the subdiagonal is zero and each entry on the subdiagonal is nonzero. Let V denote a nonzero finite-dimensional vector space over a field K. We consider an ordered pair of linear transformations A:V→V and A∗:V→V which satisfy both (i) and (ii) below.(i)There exists a basis for V with respect to which the matrix representing A is Hessenberg and the matrix representing A∗ is diagonal.(ii)There exists a basis for V with respect to which the matrix representing A is diagonal and the matrix representing A∗ is Hessenberg.We call such a pair a thin Hessenberg pair (or TH pair). This is a special case of a Hessenberg pair which was introduced by the author in an earlier paper. W...
AbstractLet K denote a field, and let V denote a vector space over K with finite positive dimension....
Abstract. Let K denote a field and let V denote a vector space over K with finite positive dimension...
AbstractLet K denote a field and let V denote a vector space over K with finite positive dimension. ...
AbstractA square matrix is called Hessenberg whenever each entry below the subdiagonal is zero and e...
AbstractA square matrix is called Hessenberg whenever each entry below the subdiagonal is zero and e...
AbstractLet K denote a field and V denote a nonzero finite-dimensional vector space over K. We consi...
AbstractLet F denote a field and let V denote a vector space over F with finite positive dimension. ...
A square matrix is called Hessenberg whenever each entry below the subdiagonal is zero and each entr...
AbstractLet V denote a vector space with finite positive dimension. We consider a pair of linear tra...
AbstractLet K denote a field and let V denote a vector space over K with finite positive dimension. ...
AbstractLet K denote a field, and let V denote a vector space over K with finite positive dimension....
AbstractLet V denote a vector space with finite positive dimension. We consider a pair of linear tra...
AbstractTwo different generalizations of the concept of Hessenberg matrices have appeared recently i...
AbstractLet K denote a field, and let V denote a vector space over K with finite positive dimension....
AbstractWe define and study generalized Hessenberg matrices, i.e. square matrices which have subdiag...
AbstractLet K denote a field, and let V denote a vector space over K with finite positive dimension....
Abstract. Let K denote a field and let V denote a vector space over K with finite positive dimension...
AbstractLet K denote a field and let V denote a vector space over K with finite positive dimension. ...
AbstractA square matrix is called Hessenberg whenever each entry below the subdiagonal is zero and e...
AbstractA square matrix is called Hessenberg whenever each entry below the subdiagonal is zero and e...
AbstractLet K denote a field and V denote a nonzero finite-dimensional vector space over K. We consi...
AbstractLet F denote a field and let V denote a vector space over F with finite positive dimension. ...
A square matrix is called Hessenberg whenever each entry below the subdiagonal is zero and each entr...
AbstractLet V denote a vector space with finite positive dimension. We consider a pair of linear tra...
AbstractLet K denote a field and let V denote a vector space over K with finite positive dimension. ...
AbstractLet K denote a field, and let V denote a vector space over K with finite positive dimension....
AbstractLet V denote a vector space with finite positive dimension. We consider a pair of linear tra...
AbstractTwo different generalizations of the concept of Hessenberg matrices have appeared recently i...
AbstractLet K denote a field, and let V denote a vector space over K with finite positive dimension....
AbstractWe define and study generalized Hessenberg matrices, i.e. square matrices which have subdiag...
AbstractLet K denote a field, and let V denote a vector space over K with finite positive dimension....
Abstract. Let K denote a field and let V denote a vector space over K with finite positive dimension...
AbstractLet K denote a field and let V denote a vector space over K with finite positive dimension. ...