Triangle graph

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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:

  1. It is a graph whose geometric realization is a triangle: it has three vertices and an edge between each pair of vertices.
  2. It is the cycle graph on 3 vertices, and is denoted .
  3. It is the complete graph on 3 vertices, and is denoted .
  4. 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)