Eigenvalues, multiplicities and graphs
The arrangement of nonzero entries of a matrix, described by the graph of the matrix, limits the possible geometric multiplicities of the eigenvalues, which are far more limited by this information than algebraic multiplicities or the numerical values of the eigenvalues. This book gives a unified development of how the graph of a symmetric matrix influences the possible multiplicities of its eigenvalues. While the theory is richest in cases where the graph is a tree, work on eigenvalues, multip…
Read More ↓Title Statements
- Full title :Eigenvalues, multiplicities and graphs / Charles R. Johnson, College of William and Mary, Williamsburg, Virginia, Carlos M. Saiago, Universidade Nova de Lisboa.
Summary
The arrangement of nonzero entries of a matrix, described by the graph of the matrix, limits the possible geometric multiplicities of the eigenvalues, which are far more limited by this information than algebraic multiplicities or the numerical values of the eigenvalues. This book gives a unified development of how the graph of a symmetric matrix influences the possible multiplicities of its eigenvalues. While the theory is richest in cases where the graph is a tree, work on eigenvalues, multiplicities and graphs has provided the opportunity to identify which ideas have analogs for non-trees, and those for which trees are essential. It gathers and organizes the fundamental ideas to allow students and researchers to easily access and investigate the many interesting questions in the subject.
Read More ↓Edition Statements
- Publication Date:©2018
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge, United Kingdom
- Language:eng
- Publication Date:©2018
The Physical Object
- Description:xxii, 291 pàgines : : il·lustracions ; : 24 cm
Edition Identifiers
- ISBN:9781107095458, 110709545X
- oclc:on1089114082
Table of Contents
Background -- Introduction -- Parter-Wiener, etc. theory -- Maximum multiplicity for trees, I -- Multiple eigenvalues and structure -- Maximum multiplicity, II -- The minimum number of distinct eigenvalues -- Construction techniques -- Multiplicity lists for generalized stars -- Double generalized stars -- Linear trees -- Nontrees -- Geometric multiplicities for general matrices over a field
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