Completely Positive Matrices
A real matrix is positive semidefinite if it can be decomposed as A = BBOC . In some applications the matrix B has to be elementwise nonnegative. If such a matrix exists, A is called completely positive. The smallest number of columns of a nonnegative matrix B such that A = BBOC is known as the cp- rank of A . This invaluable book focuses on necessary conditions and sufficient conditions for complete positivity, as well as bounds for the cp- rank. The methods are combinatorial, geometric and algebraic. The required background on nonnegative matrices, cones, graphs and Schur complements is outlined. Contents: Preliminaries: Matrix Theoretic Background; Positive Semidefinite Matrices; Nonnegative Matrices and M -Matrices; Schur Complements; Graphs; Convex Cones; The PSD Completion Problem; Complete Positivity: Definition and Basic Properties; Cones of Completely Positive Matrices; Small Matrices; Complete Positivity and the Comparison Matrix; Completely Positive Graphs; Completely Positive Matrices Whose Graphs are Not Completely Positive; Square Factorizations; Functions of Completely Positive Matrices; The CP Completion Problem; CP Rank: Definition and Basic Results; Completely Positive Matrices of a Given Rank; Completely Positive Matrices of a Given Order; When is the CP-Rank Equal to the Rank?. Readership: Upper level undergraduates, graduate students, academics and researchers interested in matrix theory."
Was andere dazu sagen - Rezension schreiben
Es wurden keine Rezensionen gefunden.
Andere Ausgaben - Alle anzeigen
A/-matrix adjacent assume Barioli Berman block form Cauchy matrix chordal graphs closed convex cone complete graph completely positive graph completely positive matrix connected graph convex cone COPn copositive Corollary CP matrix realization cp-rank G cut vertex cycle of length denote diagonal entries diagonal matrix diagonally dominant DNN matrix realization doubly nonnegative matrix eigenvalues equal Example Exercise exists extreme rays G-partial Gram matrix graph G implies irreducible Lemma M-matrix matrix whose graph n x n completely positive n x n doubly nonnegative n x n matrix NCC graph nonnegative vector nonsingular nonzero odd cycle partial symmetric matrix permutation matrix pletely positive positive definite positive semidefinite matrix principal minors principal submatrix proof of Theorem property PLSS Prove Proposition PSD completion rank 1 representation realization of G satisfies 3.30 Schur complement singular subgraph of G subspace suppb Suppose symmetric matrix symmetric nonnegative totally nonnegative matrix triangle free graph