Let Γ be a simple graph on a finite vertex set V and let A be its adjacency matrix. Then Γ is said to be singular if and only if 0 is an eigenvalue of A. The nullity (singularity) of Γ, denoted by null(Γ), is the algebraic multiplicity of the eigenvalue 0 in the spectrum of Γ. In 1957, Collatz and Sinogowitz [57] posed the problem of characterizing singular graphs. Singular graphs have important applications in mathematics and science. In chemistry the importance of singular graphs lies in the fact that a singular molecular graph, with vertices formed by atoms, edges corresponding to bonds between the atoms in the molecule, often is associated to compounds that are more reactive or unstable. By this reason, the chemists have a great interest...
A singular graph, with adjacency matrix A and one zero eigenvalue, has a corresponding eigenvector v...
The nullity of a graph G is the multiplicity of zero as an eigenvalue in the spectrum of its adjacen...
A singular graph G, defined when its adjacency matrix is singular, has important applications in mat...
Let Γ be a simple graph on a finite vertex set V and let A be its adjacency matrix. Then Γ is said to...
Characterization of singular graphs can be reduced to the non-trivial solutions of a system of linea...
AbstractFor acyclic and unicyclic graphs we determine a necessary and sufficient condition for a gra...
A graph G is singular if the zero-one adjacency matrix has the eigenvalue zero. The multiplicity of ...
Let Γ be a finite graph and let A(Γ) be its adjacency matrix. Then Γ is singular if A(Γ) is singular...
AbstractThis paper studies singular graphs by considering minimal singular induced subgraphs of smal...
AbstractA graph G is singular of nullity η(>0), if its adjacency matrix A is singular, with the eige...
A graph G is singular of nullity η if the nullspace of its adjacency matrix G has dimension η. Such ...
Let Γ be a simple undirected graph on a finite vertex set and let A be its adjacency matrix. Then Γ ...
A nut graph has a non-invertible (singular) 0-1 adjacency matrix with non-zero entries in every kern...
This paper is an exposition of the Singular graphs: The Cartesian Product of Two Graphs, from the st...
AbstractThe nullity of a graph G, denoted by η(G), is the multiplicity of the eigenvalue zero in its...
A singular graph, with adjacency matrix A and one zero eigenvalue, has a corresponding eigenvector v...
The nullity of a graph G is the multiplicity of zero as an eigenvalue in the spectrum of its adjacen...
A singular graph G, defined when its adjacency matrix is singular, has important applications in mat...
Let Γ be a simple graph on a finite vertex set V and let A be its adjacency matrix. Then Γ is said to...
Characterization of singular graphs can be reduced to the non-trivial solutions of a system of linea...
AbstractFor acyclic and unicyclic graphs we determine a necessary and sufficient condition for a gra...
A graph G is singular if the zero-one adjacency matrix has the eigenvalue zero. The multiplicity of ...
Let Γ be a finite graph and let A(Γ) be its adjacency matrix. Then Γ is singular if A(Γ) is singular...
AbstractThis paper studies singular graphs by considering minimal singular induced subgraphs of smal...
AbstractA graph G is singular of nullity η(>0), if its adjacency matrix A is singular, with the eige...
A graph G is singular of nullity η if the nullspace of its adjacency matrix G has dimension η. Such ...
Let Γ be a simple undirected graph on a finite vertex set and let A be its adjacency matrix. Then Γ ...
A nut graph has a non-invertible (singular) 0-1 adjacency matrix with non-zero entries in every kern...
This paper is an exposition of the Singular graphs: The Cartesian Product of Two Graphs, from the st...
AbstractThe nullity of a graph G, denoted by η(G), is the multiplicity of the eigenvalue zero in its...
A singular graph, with adjacency matrix A and one zero eigenvalue, has a corresponding eigenvector v...
The nullity of a graph G is the multiplicity of zero as an eigenvalue in the spectrum of its adjacen...
A singular graph G, defined when its adjacency matrix is singular, has important applications in mat...