Combinatorial Matrix Theory (Encyclopedia of Mathematics and its Applications)

Richard A. Brualdi; Herbert J. Ryser

ISBN 10: 0521322650 / ISBN 13: 9780521322652

Edité par Cambridge University Press, 1992

A propos de cet article

Type: Book N.B. Small plain label to front paste down. Letter J stamped on title page. Corners of boards a little bumped. (MATHEMATICS).

N° de réf. du vendeur 300564

Détails bibliographiques

• Titre: Combinatorial Matrix Theory (Encyclopedia of Mathematics and its Applications)
• Éditeur: Cambridge University Press
• Date de parution: 1992
• Langue: anglais
• ISBN à 10 chiffres: 0521322650
• ISBN à 13 chiffres: 9780521322652
• Reliure: Cloth
• Édition: Reprint.
• État de l'article: Very Good
• État de la jaquette: Very Good
• Catalogues du vendeur:
  • MATHEMATICS

A propos de ce titre

Synopsis

This book, first published in 1991, is devoted to the exposition of combinatorial matrix theory. This subject concerns itself with the use of matrix theory and linear algebra in proving results in combinatorics (and vice versa), and with the intrinsic properties of matrices viewed as arrays of numbers rather than algebraic objects in themselves. There are chapters dealing with the many connections between matrices, graphs, digraphs and bipartite graphs. The basic theory of network flows is developed in order to obtain existence theorems for matrices with prescribed combinatorial properties and to obtain various matrix decomposition theorems. Other chapters cover the permanent of a matrix, and Latin squares. The final chapter deals with algebraic characterizations of combinatorial properties and the use of combinatorial arguments in proving classical algebraic theorems, including the Cayley-Hamilton Theorem and the Jordan Canonical Form. The book is sufficiently self-contained for use as a graduate course text, but complete enough for a standard reference work on the basic theory. Thus it will be an essential purchase for combinatorialists, matrix theorists, and those numerical analysts working in numerical linear algebra.