Combinatorial Approach to Matrix Theory and Its Applications

Regular price €192.20
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
A01=agos Cvetkovic
A01=Richard A. Brualdi
Adjacency Matrix
Algebraic Multiplicity
Author_agos Cvetkovic
Author_Richard A. Brualdi
black
Black Vertex
Category=PBF
Category=PBV
Characteristic Polynomial
Chromatic Number
combinatorial mathematics
diagonal
eigenvalue analysis
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Frobenius Normal Form
Geometric Multiplicity
graph
graph theory applications
graph-theoretical
Initial Vertex
Irreducible Nonnegative Matrix
Jordan Blocks
Jordan Canonical Form
Jordan Matrix
linear algebra concepts
linear system
main
Main Diagonal
matrix theory
matrix theory for engineering and science
Nonnegative Matrices
Nonnegative Matrix
Null Space
permutation
Permutation Matrix
Perron Eigenvector
Positive Matrix
Reduced Row Echelon Form
Richard A. Brualdi
scientific computing methods
sign-nonsingular matrices
signal flow digraph
Signal Flow Graph
signal-flow
spectral graph theory
square
Square Matrix
Terminal Vertex
triangular
vertex
Vertex Set
white
White Vertex

Product details

  • ISBN 9781420082234
  • Weight: 240g
  • Dimensions: 156 x 234mm
  • Publication Date: 06 Aug 2008
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

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.

Richard A. Brualdi, Dragos Cvetkovic

More from this author