abs_vol17_pp473-486. 25KB Jun 04 2011 12:05:46 AM
Teks penuh
Dokumen terkait
Row stochastic matrix, Doubly stochastic matrix, Matrix majorization, Weak matrix majorization, Left (right) multivariate majorization, Linear preserver.. AMS
Secondly, to establish a new angle metric which is described by decomposable multi-vectors called Grassmann representatives (or Pl¨ ucker coordinates) of the corresponding sub-
In this paper, the above relation to singular two-parameter eigenvalue problems is extended, and it is shown that the simple finite regular eigenvalues of a two-parameter
Associated to a square matrix all of whose entries are real Laurent polynomials in several variables with no negative coefficients is an ordered “dimension” module introduced by
Combinatorial matrix theory, Inertia, Inverse eigenvalue problem, Inverse inertia problem, Graph, Minimum positive semidefinite rank, Minimum rank, Nil vertex, Symmetric.. AMS
The main result here, Theorem 2.3, characterizes the minimizers of the distance between a given positive semidefinite matrix and the unitary group, for strictly increasing Schur
Schur complement, LU factorization, Bipartite graph, Sign pattern, Zero pattern, Nearly reducible matrix, Minimally strongly connected digraph.. AMS
Group majorization, GIC ordering, Normal decomposition system, Cone preorder- ing, Schur type inequality, Schur-convex function, Eigenvalues, Singular values.. AMS
