Applications of combinatorial matrix theory to Laplacian matrices of graphs
 Responsibility
 Jason J. Molitierno.
 Language
 English.
 Imprint
 Boca Raton, FL : CRC Press, c2012.
 Physical description
 405 p. : ill ; 27 cm.
 Series
 Discrete mathematics and its applications.
Access
Available online
 marc.crcnetbase.com CRCnetBASE
Math & Statistics Library
Stacks
Call number  Status 

QA166.243 .M65 2012  Unknown 
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Creators/Contributors
 Author/Creator
 Molitierno, Jason J.
Contents/Summary
 Bibliography
 Includes bibliographical references (p. 395400) and index.
 Contents

 Matrix Theory Preliminaries Vector Norms, Matrix Norms, and the Spectral Radius of a Matrix Location of Eigenvalues PerronFrobenius Theory MMatrices Doubly Stochastic Matrices Generalized Inverses Graph Theory Preliminaries Introduction to Graphs Operations of Graphs and Special Classes of Graphs Trees Connectivity of Graphs Degree Sequences and Maximal Graphs Planar Graphs and Graphs of Higher Genus Introduction to Laplacian Matrices Matrix Representations of Graphs The Matrix Tree Theorem The Continuous Version of the Laplacian Graph Representations and Energy Laplacian Matrices and Networks The Spectra of Laplacian Matrices The Spectra of Laplacian Matrices Under Certain Graph Operations Upper Bounds on the Set of Laplacian Eigenvalues The Distribution of Eigenvalues Less than One and Greater than One The GroneMerris Conjecture Maximal (Threshold) Graphs and Integer Spectra Graphs with Distinct Integer Spectra The Algebraic Connectivity Introduction to the Algebraic Connectivity of Graphs The Algebraic Connectivity as a Function of Edge Weight The Algebraic Connectivity with Regard to Distances and Diameters The Algebraic Connectivity in Terms of Edge Density and the Isoperimetric Number The Algebraic Connectivity of Planar Graphs The Algebraic Connectivity as a Function Genus k where k is greater than 1 The Fiedler Vector and Bottleneck Matrices for Trees The Characteristic Valuation of Vertices Bottleneck Matrices for Trees Excursion: Nonisomorphic Branches in Type I Trees Perturbation Results Applied to Extremizing the Algebraic Connectivity of Trees Application: Joining Two Trees by an Edge of Infinite Weight The Characteristic Elements of a Tree The Spectral Radius of Submatrices of Laplacian Matrices for Trees Bottleneck Matrices for Graphs Constructing Bottleneck Matrices for Graphs Perron Components of Graphs Minimizing the Algebraic Connectivity of Graphs with Fixed Girth Maximizing the Algebraic Connectivity of Unicyclic Graphs with Fixed Girth Application: The Algebraic Connectivity and the Number of Cut Vertices The Spectral Radius of Submatrices of Laplacian Matrices for Graphs The Group Inverse of the Laplacian Matrix Constructing the Group Inverse for a Laplacian Matrix of a Weighted Tree The Zenger Function as a Lower Bound on the Algebraic Connectivity The Case of the Zenger Equalling the Algebraic Connectivity in Trees Application: The Second Derivative of the Algebraic Connectivity as a Function of Edge Weight.
 (source: Nielsen Book Data)
 Publisher's Summary
 On the surface, matrix theory and graph theory seem like very different branches of mathematics. However, adjacency, Laplacian, and incidence matrices are commonly used to represent graphs, and many properties of matrices can give us useful information about the structure of graphs. Applications of Combinatorial Matrix Theory to Laplacian Matrices of Graphs is a compilation of many of the exciting results concerning Laplacian matrices developed since the mid 1970s by wellknown mathematicians such as Fallat, Fiedler, Grone, Kirkland, Merris, Mohar, Neumann, Shader, Sunder, and more. The text is complemented by many examples and detailed calculations, and sections followed by exercises to aid the reader in gaining a deeper understanding of the material. Although some exercises are routine, others require a more indepth analysis of the theorems and ask the reader to prove those that go beyond what was presented in the section. Matrixgraph theory is a fascinating subject that ties together two seemingly unrelated branches of mathematics. Because it makes use of both the combinatorial properties and the numerical properties of a matrix, this area of mathematics is fertile ground for research at the undergraduate, graduate, and professional levels. This book can serve as exploratory literature for the undergraduate student who is just learning how to do mathematical research, a useful "startup" book for the graduate student beginning research in matrixgraph theory, and a convenient reference for the more experienced researcher.
(source: Nielsen Book Data)
Subjects
Bibliographic information
 Publication date
 2012
 Series
 Discrete mathematics and its applications
 Note
 "A Chapman & Hall book."
 ISBN
 9781439863374 (hardback)
 1439863377 (hardback)