Abstract:Associated to a graph G is a set S(G) of all real-valued symmetric matrices whose off-diagonal entries are non-zero precisely when the corresponding vertices of the graph are adjacent, and the diagonal entries are free to be chosen. If G has n vertices, then the multiplicities of the eigenvalues of any matrix in S(G) partition n; this is called a multiplicity partition.We study graphs for which a multiplicity partition with only two integers is possible. The graphs G for which there is a matrix in S(G) with pa… Show more
“…It is straightforward to see that 2K 2 and 3K 1 do not have compatible multiplicity matrices, hence q(2K 2 ∨ 3K 1 ) ≠ 2. This gives an explicit counterexample to the claim in [1,Lemma 3.4], which was later retracted in [2]. In contrast, we will see in Section 4 that q(2K 2 ∨ 2K 1 ) = q(2K 2 ∨ 4K 1 ) = 2.…”
Section: Proof Decompose G and H Into Their Connected Components Asmentioning
confidence: 75%
“…The same authors also proved that q(G ∨ G) = 2 for any connected graph G. Later, this result was generalized by Monfared and Shader [18], who proved that q(G ∨ H) = 2 for any connected graphs G and H with the same number of vertices. Recently, joins of disconnected graphs were investigated in [1,2], where particular attention was given to joins of unions of complete graphs.…”
We introduce a notion of compatibility for multiplicity matrices. This gives rise to a necessary condition for the join of two (possibly disconnected) graphs G and H to be the pattern of an orthogonal symmetric matrix, or equivalently, for the minimum number of distinct eigenvalues q of G∨H to be equal to two. Under additional hypotheses, we show that this necessary condition is also sufficient. As an application, we prove that q(G ∨ H) is either two or three when G and H are unions of complete graphs, and we characterise when each case occurs.
“…It is straightforward to see that 2K 2 and 3K 1 do not have compatible multiplicity matrices, hence q(2K 2 ∨ 3K 1 ) ≠ 2. This gives an explicit counterexample to the claim in [1,Lemma 3.4], which was later retracted in [2]. In contrast, we will see in Section 4 that q(2K 2 ∨ 2K 1 ) = q(2K 2 ∨ 4K 1 ) = 2.…”
Section: Proof Decompose G and H Into Their Connected Components Asmentioning
confidence: 75%
“…The same authors also proved that q(G ∨ G) = 2 for any connected graph G. Later, this result was generalized by Monfared and Shader [18], who proved that q(G ∨ H) = 2 for any connected graphs G and H with the same number of vertices. Recently, joins of disconnected graphs were investigated in [1,2], where particular attention was given to joins of unions of complete graphs.…”
We introduce a notion of compatibility for multiplicity matrices. This gives rise to a necessary condition for the join of two (possibly disconnected) graphs G and H to be the pattern of an orthogonal symmetric matrix, or equivalently, for the minimum number of distinct eigenvalues q of G∨H to be equal to two. Under additional hypotheses, we show that this necessary condition is also sufficient. As an application, we prove that q(G ∨ H) is either two or three when G and H are unions of complete graphs, and we characterise when each case occurs.
“…Let M(t) ∶= M f,G (t) be the smooth family of manifolds of m × m symmetric matrices defined in (1). Note that M(0) is the set of diagonal matrices.…”
Section: Generic Realisability Of 0-1 Matricesmentioning
confidence: 99%
“…For some specific families of connected graphs, several ordered multiplicity vectors have been determined (see e.g. [1,5,18]). Moreover, Monfared and Shader proved the following theorem in [19], showing that (1, 1, .…”
We show that every 0-1 multiplicity matrix for a simple graph G is generically realisable for G. In particular, every multiplicity matrix for a path is generically realisable. We use this result to provide several families of joins of graphs that are realisable by a matrix with only two distinct eigenvalues.
“…It remains an open question (see [2]) whether the implication holds for graphs Γ with msr(Γ) > 2. In particular, since |L (K n )| = 1 2 n(n − 1), it remains to be determined whether L (K n ) is a tight frame graph for H d for n ≤ d ≤ ⌊ 1 4 n(n − 1)⌋.…”
Dual multiplicity graphs are those simple, undirected graphs that have a weighted Hermitian adjacency matrix with only two distinct eigenvalues. From the point of view of frame theory, their characterization can be restated as which graphs have a representation by a tight frame. In this paper, we classify certain line graphs that are tight frame graphs and improve a previous result on the embedding of frame graphs in tight frame graphs.
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