Triangle graph: Difference between revisions
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# It is the [[complete graph]] on 3 vertices, and is denoted <math>K_3</math>. | # It is the [[complete graph]] on 3 vertices, and is denoted <math>K_3</math>. | ||
# It is the [[odd graph]] <math>O_2</math>, i.e., the [[Kneser graph]] <math>KG_{3,1}</math>. | # It is the [[odd graph]] <math>O_2</math>, i.e., the [[Kneser graph]] <math>KG_{3,1}</math>. | ||
==Explicit descriptions== | |||
===Descriptions of vertex set and edge set=== | |||
Vertex set: <math>\{ 1,2,3 \}</math> | |||
Edge set: <math>\{ \{ 1,2 \}, \{ 2,3 \}, \{ 1,3 \}\}</math> | |||
===Adjacency matrix=== | |||
The adjacency matrix is: | |||
<math>\begin{pmatrix} 0 & 1 & 1 \\ 1 & 0 & 1 \\ 1 & 1 & 0 \\\end{pmatrix}</math> | |||
==Arithmetic functions== | ==Arithmetic functions== | ||
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|- | |- | ||
| {{arithmetic function value|girth of a graph|3}} || minimum of even and odd girth | | {{arithmetic function value|girth of a graph|3}} || minimum of even and odd girth | ||
|} | |||
==Algebraic theory== | |||
The adjacency matrix is: | |||
<math>\begin{pmatrix} 0 & 1 & 1 \\ 1 & 0 & 1 \\ 1 & 1 & 0 \\\end{pmatrix}</math> | |||
The matrix is uniquely defined (note that it centralizes all permutations). Below are some important associated algebraic invariants: | |||
{| class="sortable" border="1" | |||
! Algebraic invariant !! Value !! Explanation | |||
|- | |||
| [[characteristic polynomial of a graph|characteristic polynomial]] || <math>t^3 - 3t - 2</math> || | |||
|- | |||
| [[minimal polynomial of a graph|minimal polynomial]] || <math>t^2 - t - 2</math> || | |||
|- | |||
| rank of adjacency matrix || 3 || | |||
|- | |||
| eigenvalues (roots of characteristic polynomial) || -1 (multiplicity 2), 2 (multiplicity 1) || | |||
|} | |} |
Revision as of 19:37, 29 May 2012
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 | ||
minimal polynomial | ||
rank of adjacency matrix | 3 | |
eigenvalues (roots of characteristic polynomial) | -1 (multiplicity 2), 2 (multiplicity 1) |