Optimizing quadratic forms of adjacency matrices of trees and related eigenvalue problems
نویسندگان
چکیده
Let A be an adjacency matrix of a tree T with n vertices. Conditions are determined for the existence of a fixed permutation matrix P that maximizes the quadratic form xtP tAPx over all nonnegative vectors x with entries arranged in nondecreasing order. This quadratic form problem is completely solved, and its answer leads to a corresponding solution for the problem of determining conditions for the existence of a fixed permutation matrix P that maximizes the largest eigenvalue of matrices of the form PDP t + A, over all real diagonal matrices D with nondecreasing diagonal entries. It is shown that there is a tree with six vertices for which neither of the problems has a solution, and all other trees with six or fewer vertices have solutions for both problems. By duality, the results also apply to the analogous problem of minimizing the smallest eigenvalue of matrices of the form PDP t + A. © 2001 Elsevier Science Inc. All rights reserved.
منابع مشابه
A mathematically simple method based on denition for computing eigenvalues, generalized eigenvalues and quadratic eigenvalues of matrices
In this paper, a fundamentally new method, based on the denition, is introduced for numerical computation of eigenvalues, generalized eigenvalues and quadratic eigenvalues of matrices. Some examples are provided to show the accuracy and reliability of the proposed method. It is shown that the proposed method gives other sequences than that of existing methods but they still are convergent to th...
متن کاملSpectral graph theory and the inverse eigenvalue problem of a graph
Spectral Graph Theory is the study of the spectra of certain matrices defined from a given graph, including the adjacency matrix, the Laplacian matrix and other related matrices. Graph spectra have been studied extensively for more than fifty years. In the last fifteen years, interest has developed in the study of generalized Laplacian matrices of a graph, that is, real symmetric matrices with ...
متن کاملEla Spectral Graph Theory and the Inverse Eigenvalue Problem of a Graph∗
Spectral Graph Theory is the study of the spectra of certain matrices defined from a given graph, including the adjacency matrix, the Laplacian matrix and other related matrices. Graph spectra have been studied extensively for more than fifty years. In the last fifteen years, interest has developed in the study of generalized Laplacian matrices of a graph, that is, real symmetric matrices with ...
متن کاملOn the square root of quadratic matrices
Here we present a new approach to calculating the square root of a quadratic matrix. Actually, the purpose of this article is to show how the Cayley-Hamilton theorem may be used to determine an explicit formula for all the square roots of $2times 2$ matrices.
متن کاملData Structures for Representing Symmetry in Quadratically Constrained Quadratic Programs
Symmetry in mathematical programming may lead to a multiplicity of solutions. In nonconvex optimisation, it can negatively affect the performance of the Branch and Bound algorithm. Symmetry may induce large search trees with multiple equivalent solutions, i.e. with the same optimal value. Dealing with symmetry requires detecting and classifying it first. This paper develops several methods for ...
متن کامل