Square graph: Difference between revisions
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# It is the [[cycle graph]] on 4 vertices, denoted <math>C_4</math>. | # It is the [[cycle graph]] on 4 vertices, denoted <math>C_4</math>. | ||
# It is the [[complete bipartite graph]] <math>K_{2,2}</math> | # It is the [[complete bipartite graph]] <math>K_{2,2}</math> | ||
# | # It is the 2-dimensional [[hypercube graph]]. | ||
# It is the 2-dimensional [[hyperoctahedron graph]]. | |||
==Explicit descriptions== | |||
===Description of vertex set and edge set=== | |||
Vertex set: <math>\{ 1,2,3,4\}</math> | |||
Edge set: <math>\{ \{ 1,2 \} , \{ 2,3 \} , \{ 3, 4 \} , \{ 1, 4 \} \}</math> | |||
Note that with this description, the two parts in a bipartite graph description are <math>\{ 1,3 \}</math> and <math>\{ 2,4 \}</math>. | |||
===Adjacency matrix=== | |||
With the ordering of the vertex set and edge set given above, the adjacency matrix is: | |||
<math>\begin{pmatrix} 0 & 1 & 0 & 1 \\ 1 & 0 & 1 & 0 \\ 0 & 1 & 0 & 1 \\ 1 & 0 & 1 & 0 \\\end{pmatrix}</math> | |||
==Arithmetic functions== | ==Arithmetic functions== | ||
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| [[satisfies property::bipartite graph]] || Yes || | | [[satisfies property::bipartite graph]] || Yes || | ||
|} | |} | ||
==Graph operations== | |||
{| class="sortable" border="1" | |||
! Operation !! Graph obtained as a result of the operation | |||
|- | |||
| [[complement of a graph]] || [[matching graph]] on 4 vertices | |||
|- | |||
| [[line graph]] || isomorphic to the original graph | |||
|- | |||
| [[prism of a graph]] || [[cube graph]] | |||
|} | |||
==Algebraic theory== | |||
The adjacency matrix is: | |||
<math>\begin{pmatrix} 0 & 1 & 0 & 1 \\ 1 & 0 & 1 & 0 \\ 0 & 1 & 0 & 1 \\ 1 & 0 & 1 & 0 \\\end{pmatrix}</math> | |||
This matrix is uniquely defined up to conjugation by permutations. Below are some important associated algebraic invariants: | |||
{| class="sortable" border="1" | |||
! Algebraic invariant !! Value !! Explanation | |||
|- | |||
| [[characteristic polynomial of a graph|characteristic polynomial]] || {{fillin}} || | |||
|- | |||
| [[minimal polynomial of a graph|minimal polynomial]] || {{fillin}} || | |||
|- | |||
| rank of adjacency matrix || 2 || | |||
|- | |||
| eigenvalues (roots of characteristic polynomial) || || | |||
|} | |||
==Realization== | |||
===As Cayley graph=== | |||
==Geometric embeddings== |
Revision as of 16:56, 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 undirected graph is defined in the following equivalent ways:
- It is the cycle graph on 4 vertices, denoted .
- It is the complete bipartite graph
- It is the 2-dimensional hypercube graph.
- It is the 2-dimensional hyperoctahedron graph.
Explicit descriptions
Description of vertex set and edge set
Vertex set:
Edge set:
Note that with this description, the two parts in a bipartite graph description are and .
Adjacency matrix
With the ordering of the vertex set and edge set given above, the adjacency matrix is:
Arithmetic functions
Size measures
Function | Value | Explanation |
---|---|---|
size of vertex set | 4 | As cycle graph : As complete bipartite graph : As -dimensional hypercube, : |
size of edge set | 4 | As cycle graph : As complete bipartite graph : As -dimensional hypercube, : |
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 cycle graph : 2 (independent of ) As complete bipartite graph : Since are equal, the graph is vertex-transitive and -regular, so we get As -dimensional hypercube, : |
eccentricity of a vertex | 2 | As cycle graph : greatest integer of equals greater integer of 4/2 equals 2 As complete bipartite graph : 2 (independent of , though it uses that both numbers are greater than 1) As -dimensional hypercube, : |
Other numerical invariants
Function | Value | Explanation |
---|---|---|
clique number | 2 | As cycle graph : 2 (independent of for ) As : 2 (independent of , follows from being bipartite) As -dimensional hypercube, : 2 (independent of ) |
independence number | 2 | As cycle graph : greatest integer of equals greatest integer of 4/2 equals 2 As : As -dimensional hypercube, : |
chromatic number | 2 | As cycle graph : 2 (in general, it is 2 for even and 3 for odd As : 2 (independent of , follows from being bipartite) As -dimensional hypercube, : 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 cycle graph : infinite (since even) As : infinite, since bipartite As -dimensional hypercube, : infinite, since bipartite |
even girth | 4 | As cycle graph : (since even) As complete bipartite graph : 4 (independent of as long as both are greater than 1) As -dimensional hypercube, : 4 (independent of for ) |
girth of a graph | 4 | As cycle graph : As complete bipartite graph : 4 (independent of as long as both are greater than 1) As -dimensional hypercube, : 4 (independent of for ) |
Graph properties
Property | Satisfied? | Explanation |
---|---|---|
connected graph | Yes | |
regular graph | Yes | all vertices have degree two |
vertex-transitive graph | Yes | |
cubic graph | No | |
edge-transitive graph | Yes | |
symmetric graph | Yes | |
distance-transitive graph | Yes | |
bridgeless graph | Yes | |
strongly regular graph | Yes | |
bipartite graph | Yes |
Graph operations
Operation | Graph obtained as a result of the operation |
---|---|
complement of a graph | matching graph on 4 vertices |
line graph | isomorphic to the original graph |
prism of a graph | cube graph |
Algebraic theory
The adjacency matrix is:
This matrix is uniquely defined up to conjugation by permutations. Below are some important associated algebraic invariants:
Algebraic invariant | Value | Explanation |
---|---|---|
characteristic polynomial | Fill this in later | |
minimal polynomial | Fill this in later | |
rank of adjacency matrix | 2 | |
eigenvalues (roots of characteristic polynomial) |