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 is a particular finite undirected graph defined as follows:
- It is a graph whose geometric realization is a triangle: it has three vertices and an edge between each pair of vertices.
- It is the cycle graph on 3 vertices, and is denoted
.
- It is the complete graph on 3 vertices, and is denoted
.
- It is the odd graph
, i.e., the Kneser graph
.
Explicit descriptions
Descriptions of vertex set and edge set
Vertex set:
Edge set:
Adjacency matrix
The adjacency matrix is:
Arithmetic functions
Size measures
Function |
Value |
Explanation
|
size of vertex set |
3 |
As :  As :  As :
|
size of edge set |
3 |
As :  As :  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 |
2 |
As : 2 (independent of ) As :  As :
|
eccentricity of a vertex |
1 |
As : greatest integer function of equals greatest integer function of 3/2 equals 1 As : 1 (true for any ) As :
|
Other numerical invariants
Function |
Value |
Explanation
|
clique number |
3 |
As : 3 (since ; it's 2 for larger ) As :  As : 3
|
independence number |
1 |
As : greatest integer function of equals greatest integer function of 3/2 equals 1 As : 1 (independent of )
|
chromatic number |
3 |
As : 3 since is odd As :
|
radius of a graph |
1 |
Due to vertex-transitivity, the radius equals the eccentricity of any vertex, which has been computed above.
|
diameter of a graph |
1 |
Due to vertex-transitivity, the radius equals the eccentricity of any vertex, which has been computed above.
|
odd girth |
3 |
As :  As : 3 (true for any ) As :
|
even girth |
infinite |
there are no cycles of even length
|
girth of a graph |
3 |
minimum of even and odd girth
|
Algebraic theory
The adjacency matrix is:
The matrix is uniquely defined (note that it centralizes all permutations). Below are some important associated algebraic invariants:
Algebraic invariant |
Value |
Explanation
|
characteristic polynomial |
 |
As :
|
minimal polynomial |
 |
As :
|
rank of adjacency matrix |
3 |
As :
|
eigenvalues (roots of characteristic polynomial) |
-1 (multiplicity 2), 2 (multiplicity 1) |
As : -1 (multiplicity ), (multiplicity 1)
|