A Combinatorial Approach to Matrix Theory and Its Applications

Richard A. Brualdi

ISBN 10: 142008223X / ISBN 13: 9781420082234

Published by Chapman And Hall/CRC, 2008

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Through combinatorial and graph theoretic tools, this self-contained reference helps readers understand the fundamentals of matrix theory and its applications to science. It develops the theory using graphs to explain the basic matrix construction, formulas, computations, ideas, and results. The authors stress the combinatorial aspects of the topics with other aspects of the theory. Containing material rarely found at this level, the book covers Gersgorin's theorem and extensions, Kronecker product of matrices, sign nonsingular matrices, and evaluation of the permanent. It also includes various exercises.

Seller Inventory # 9781420082234

Bibliographic Details

• Title: A Combinatorial Approach to Matrix Theory and Its Applications
• Publisher: Chapman And Hall/CRC
• Publication Date: 2008
• Language: English
• ISBN 10: 142008223X
• ISBN 13: 9781420082234
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 20D millimeters 240 millimeters width by 161 millimeters height by 20 millimeters depth
• Weight: 593 grams

About this title

Synopsis

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 König 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.

About the Author

Richard A. Brualdi, Dragos Cvetkovic