Let G be a simple undirected graph on n vertices and let S(G) be the class of real symmetric n by n matrices whose nonzero off-diagonal entries correspond to the edges of G. Given 2n - 1 real numbers \lambda_1\geq \mu_1 \geq \lambda_2 \geq \mu_2 \geq \cdots \geq \lambda_{n-1} \geq \mu_{n-1} \geq \lambda_{n-1}, and a vertex v of G, the question is addressed of whether or not there exists A in S(G) with eigenvalues \lambda_1, \ldots, \lambda_ n such that A(v) has eigenvalues \mu_1, \ldots, \mu_{n-1}, where A(v) denotes the matrix with vth row and column deleted. A complete solution can be given for the path on n vertices with v a pendant vertex and also for the star on n vertices with v the dominating vertex. The main result is a complete sol...
AbstractWe investigate certain inverse problems involving symmetric matrices. In particular, given a...
Let G be a simple undirected graph with n greater than or equal to 2 vertices and let alpha(0)(G) gr...
Historically, matrix theory and combinatorics have enjoyed a powerful, mutually beneficial relations...
Abstract. Let G be a simple undirected graph on n vertices and let S(G) be the class of real symmetr...
A hollow matrix described by a graph G is a real symmetric matrix having all diagonal entries equal ...
A hollow matrix described by a graph G is a real symmetric matrix having all diagonal entries equal ...
An important facet of the inverse eigenvalue problem for graphs is to determine the minimum number o...
AbstractThe eigenvalues of a graph are the eigenvalues of its adjacency matrix. In this paper regula...
The minimum number of distinct eigenvalues, taken over all real symmetric matrices compatible with a...
The minimum number of distinct eigenvalues, taken over all real symmetric matrices compatible with a...
Associated to a graph G is a set (G) of all real-valued symmetric matrices whose off-diagonal entrie...
[[abstract]]In this paper, we consider the quadratic inverse eigenvalue problem (QIEP) of constructi...
In this paper, we consider the quadratic inverse eigenvalue problem (QIEP) of constructing real symm...
AbstractWe prove that if B is an essentially nonnegative symmetric matrix with minimum eigenvalue m(...
AbstractThe inverse eigenvalue problem for real symmetric matrices of the form000⋯00∗000⋯0∗∗000⋯∗∗0·...
AbstractWe investigate certain inverse problems involving symmetric matrices. In particular, given a...
Let G be a simple undirected graph with n greater than or equal to 2 vertices and let alpha(0)(G) gr...
Historically, matrix theory and combinatorics have enjoyed a powerful, mutually beneficial relations...
Abstract. Let G be a simple undirected graph on n vertices and let S(G) be the class of real symmetr...
A hollow matrix described by a graph G is a real symmetric matrix having all diagonal entries equal ...
A hollow matrix described by a graph G is a real symmetric matrix having all diagonal entries equal ...
An important facet of the inverse eigenvalue problem for graphs is to determine the minimum number o...
AbstractThe eigenvalues of a graph are the eigenvalues of its adjacency matrix. In this paper regula...
The minimum number of distinct eigenvalues, taken over all real symmetric matrices compatible with a...
The minimum number of distinct eigenvalues, taken over all real symmetric matrices compatible with a...
Associated to a graph G is a set (G) of all real-valued symmetric matrices whose off-diagonal entrie...
[[abstract]]In this paper, we consider the quadratic inverse eigenvalue problem (QIEP) of constructi...
In this paper, we consider the quadratic inverse eigenvalue problem (QIEP) of constructing real symm...
AbstractWe prove that if B is an essentially nonnegative symmetric matrix with minimum eigenvalue m(...
AbstractThe inverse eigenvalue problem for real symmetric matrices of the form000⋯00∗000⋯0∗∗000⋯∗∗0·...
AbstractWe investigate certain inverse problems involving symmetric matrices. In particular, given a...
Let G be a simple undirected graph with n greater than or equal to 2 vertices and let alpha(0)(G) gr...
Historically, matrix theory and combinatorics have enjoyed a powerful, mutually beneficial relations...