
A Combinatorial Approach to Matrix Theory and Its Applications
Chapman & Hall/CRC (Publisher)
1st Edition
Published on 6. August 2008
Book
Hardback
283 pages
978-1-4200-8223-4 (ISBN)
Description
Unlike most elementary books on matrices, A Combinatorial Approach to Matrix Theory and Its Applications employs combinatorial and graph-theoretical tools to develop basic theorems of matrix theory, shedding new light on the subject by exploring the connections of these tools to matrices.
After reviewing the basics of graph theory, elementary counting formulas, fields, and vector spaces, the book explains the algebra of matrices and uses the Koenig digraph to carry out simple matrix operations. It then discusses matrix powers, provides a graph-theoretical definition of the determinant using the Coates digraph of a matrix, and presents a graph-theoretical interpretation of matrix inverses. The authors develop the elementary theory of solutions of systems of linear equations and show how to use the Coates digraph to solve a linear system. They also explore the eigenvalues, eigenvectors, and characteristic polynomial of a matrix; examine the important properties of nonnegative matrices that are part of the Perron-Frobenius theory; and study eigenvalue inclusion regions and sign-nonsingular matrices. The final chapter presents applications to electrical engineering, physics, and chemistry.
Using combinatorial and graph-theoretical tools, this book enables a solid understanding of the fundamentals of matrix theory and its application to scientific areas.
After reviewing the basics of graph theory, elementary counting formulas, fields, and vector spaces, the book explains the algebra of matrices and uses the Koenig digraph to carry out simple matrix operations. It then discusses matrix powers, provides a graph-theoretical definition of the determinant using the Coates digraph of a matrix, and presents a graph-theoretical interpretation of matrix inverses. The authors develop the elementary theory of solutions of systems of linear equations and show how to use the Coates digraph to solve a linear system. They also explore the eigenvalues, eigenvectors, and characteristic polynomial of a matrix; examine the important properties of nonnegative matrices that are part of the Perron-Frobenius theory; and study eigenvalue inclusion regions and sign-nonsingular matrices. The final chapter presents applications to electrical engineering, physics, and chemistry.
Using combinatorial and graph-theoretical tools, this book enables a solid understanding of the fundamentals of matrix theory and its application to scientific areas.
Reviews / Votes
"The originality of the book lies - as its title indicates - in the use of combinatorial methods, specifically Graph Theory, in the treatment . . . An original and well-written textbook within whose pages even the most experienced reader should find something novel."- Allan Solomon, Open University, in Contemporary Physics, May-June 2009, Vol. 50, No. 3
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional
Illustrations
44 s/w Abbildungen
44 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 20 mm
Weight
593 gr
ISBN-13
978-1-4200-8223-4 (9781420082234)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Richard A. Brualdi | agos Cvetkovic
A Combinatorial Approach to Matrix Theory and Its Applications
E-Book
08/2008
1st Edition
Chapman & Hall/CRC
€73.49
Available for download

Richard A. Brualdi | agos Cvetkovic
A Combinatorial Approach to Matrix Theory and Its Applications
E-Book
08/2008
Chapman and Hall
€73.99
Available for download
Persons
Richard A. Brualdi, Dragos Cvetkovic
Content
Introduction. Basic Matrix Operations. Powers of Matrices. Determinants. Matrix Inverses. Systems of Linear Equations. Spectrum of a Matrix. Nonnegative Matrices. Additional Topics. Applications.