This article defines a particular undirected graph, i.e., the definition here determines the graph uniquely up to graph isomorphism.
View a complete list of particular undirected graphs
Definition
This undirected graph is defined as the complete bipartite graph
. Explicitly, it is a graph on six vertices divided into two subsets of size three each, with edges joining every vertex in one subset to every vertex in the other subset.
The graph is also known as the utility graph. The name arises from a real-world problem that involves connecting three utilities to three buildings. The problen is modeled using this graph.
Explicit descriptions
Descriptions of vertex set and edge set
We provide a description where the vertex set is
and the two parts are
and
:
Vertex set:
Edge set:
Adjacency matrix
With the above ordering of the vertices, the adjacency matrix is as follows:
Arithmetic functions
Size measures
Function |
Value |
Explanation
|
size of vertex set |
6 |
As :
|
size of edge set |
9 |
As :
|
Numerical invariants associated with vertices
Since the graph is a vertex-transitive graph, any numerical invariant associated to a vertex must be equal on all vertices of the graph. Below are listed some of these invariants:
Function |
Value |
Explanation
|
degree of a vertex |
3 |
As : Since are equal, the graph is vertex-transitive and -regular, so we get
|
eccentricity of a vertex |
2 |
As : 3 (independent of , though it uses that both numbers are greater than 1)
|
Other numerical invariants
Function |
Value |
Explanation
|
clique number |
2 |
As : 2 (independent of , follows from being bipartite)
|
independence number |
3 |
As :
|
chromatic number |
2 |
As : 2 (independent of , follows from being bipartite)
|
radius of a graph |
2 |
Due to vertex-transitivity, the radius equals the eccentricity of any vertex, which has been computed above.
|
diameter of a graph |
2 |
Due to vertex-transitivity, the radius equals the eccentricity of any vertex, which has been computed above.
|
odd girth |
infinite |
As : infinite, since bipartite As -dimensional hypercube, : infinite, since bipartite
|
even girth |
4 |
As : 4 (independent of as long as both are greater than 1)
|
girth of a graph |
4 |
As : 4 (independent of as long as both are greater than 1)
|
Graph properties
Property |
Satisfied? |
Explanation
|
connected graph |
Yes |
|
regular graph |
Yes |
is regular if
|
vertex-transitive graph |
Yes |
is vertex-transitive if
|
cubic graph |
Yes |
|
edge-transitive graph |
Yes |
|
symmetric graph |
Yes |
|
distance-transitive graph |
Yes |
|
bridgeless graph |
Yes |
|
strongly regular graph |
Yes |
The graph is a . In general, a complete bipartite graph is strongly regular iff , and in that case it is a
|
bipartite graph |
Yes |
By definition of complete bipartite graph
|
Algebraic theory
Adjacency matrix
The adjacency matrix is as follows:
This matrix is uniquely defined up to conjugation by permutations. Below are some important associated algebraic invariants:
Algebraic invariant |
Value |
Explanation
|
characteristic polynomial |
 |
As complete bipartite graph :
|
minimal polynomial |
 |
As complete bipartite graph :
|
rank of adjacency matrix |
2 |
As complete bipartite graph : 2 (independent of )
|
eigenvalues (roots of characteristic polynomial) |
0 (4 times), 3 (1 time), -3 (1 time) |
As complete bipartite graph : 0 ( times), (1 time), (1 time)
|
Laplacian matrix
The Laplacian matrix is as follows:
The matrix is uniquely defined up to permutation by conjugations. Below are some algebraic invariants associated with the matrix:
Algebraic invariant |
Value |
Explanation
|
characteristic polynomial |
 |
As complete bipartite graph :
|
minimal polynomial |
 |
As complete bipartite graph :
|
rank of Laplacian matrix |
5 |
As complete bipartite graph :
|
eigenvalues (roots of characteristic polynomial) |
0 (1 time), 6 (1 time), 3 (4 times) |
As complete bipartite graph : 0 (1 time), (1 time), (4 times: times as and times as )
|
Normalized Laplacian matrix
The normalized Laplacian matrix is as follows:
The matrix is uniquely defined up to permutation by conjugations. Below are some algebraic invariants associated with the matrix:
Algebraic invariant |
Value |
Explanation
|
characteristic polynomial |
 |
As complete bipartite graph :
|
minimal polynomial |
 |
As complete bipartite graph : (independent of as long as )
|
rank of normalized Laplacian matrix |
5 |
As complete bipartite graph :
|
eigenvalues (roots of characteristic polynomial) |
0 (1 time), 2 (1 time), 1 (4 times) |
As complete bipartite graph : 0 (1 time), 2 (1 time), 1 ( times)
|