Complete bipartite graph:K3,3: Difference between revisions

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This [[undirected graph]] is defined as the [[complete bipartite graph]] <math>K_{3,3}</math>. 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.
This [[undirected graph]] is defined as the [[complete bipartite graph]] <math>K_{3,3}</math>. 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 <math>\{ 1,2,3,4,5,6\}</math> and the two parts are <math>\{ 1,2,3\}</math> and <math>\{ 4,5,6 \}</math>:
Vertex set: <math>\{ 1,2,3,4,5,6 \}</math>
Edge set: <math>\{ \{ 1,4 \}, \{ 1,5 \}, \{ 1,6 \}, \{ 2,4 \}, \{ 2,5 \}, \{ 2,6 \}, \{ 3,4 \}, \{ 3,5 \}, \{ 3, 6 \} \}</math>
===Adjacency matrix===
With the above ordering of the vertices, the adjacency matrix is as follows:
<math>\begin{pmatrix} 0 & 0 & 0 & 1 & 1 & 1 \\0 & 0 & 0 & 1 & 1 & 1 \\0 & 0 & 0 & 1 & 1 & 1 \\ 1 & 1 &1 & 0 & 0 & 0 \\1 & 1 &1 & 0 & 0 & 0 \\1 & 1 &1 & 0 & 0 & 0 \\\end{pmatrix}</math>
==Arithmetic functions==
===Size measures===
{| class="sortable" border="1"
! Function !! Value !! Explanation
|-
| {{arithmetic function value|size of vertex set|6}} || As <math>K_{m,n}, m = n = 3</math>: <math>m + n = 3 + 3 = 6</math>
|-
| {{arithmetic function value|size of edge set|9}} || As <math>K_{m,n}, m = n = 3</math>: <math>mn = (3)(3) = 9</math>
|}
===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:
{| class="sortable" border="1"
! Function !! Value !! Explanation
|-
| {{arithmetic function value|degree of a vertex|3}} || As <math>K_{m,n}, m = n = 3</math>: Since <math>m,n</math> are equal, the graph is vertex-transitive and <math>(m = n)</math>-regular, so we get <math>m = n = 3</math>
|-
| {{arithmetic function value|eccentricity of a vertex|2}} || As <math>K_{m,n}, m= n = 3</math>: 3 (independent of <math>m,n</math>, though it uses that both numbers are greater than 1)
|}
===Other numerical invariants===
{| class="sortable" border="1"
! Function !! Value !! Explanation
|-
| {{arithmetic function value|clique number|2}} || As <math>K_{m,n}, m = n = 3</math>: 2 (independent of <math>m,n</math>, follows from being bipartite)
|-
| {{arithmetic function value|independence number|3}} || As <math>K_{m,n}, m = n = 3</math>: <math>\max \{ m,n \} = \max \{ 3,3 \} = 3</math>
|-
| {{arithmetic function value|chromatic number|2}} || As <math>K_{m,n}, m = n = 3</math>: 2 (independent of <math>m,n</math>, follows from being bipartite)
|-
| {{arithmetic function value|radius of a graph|2}} || Due to vertex-transitivity, the radius equals the eccentricity of any vertex, which has been computed above.
|-
| {{arithmetic function value|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 <math>K_{m,n}, m = n = 3</math>: infinite, since bipartite<br>As <math>n</math>-dimensional hypercube, <math>n = 3</math>: infinite, since bipartite
|-
| {{arithmetic function value|even girth|4}} || As <math>K_{m,n}, m = n = 3</math>: 4 (independent of <math>m,n</math> as long as both are greater than 1)
|-
| {{arithmetic function value|girth of a graph|4}} || As<math>K_{m,n}, m = n = 3</math>: 4 (independent of <math>m,n</math> as long as both are greater than 1)
|}
==Graph properties==
{| class="sortable" border="1"
! Property !! Satisfied? !! Explanation
|-
| [[satisfies property::connected graph]] || Yes ||
|-
| [[satisfies property::regular graph]] || Yes || <math>K_{m,n}</math> is regular if <math>m = n</math>
|-
| [[satisfies property::vertex-transitive graph]] || Yes || <math>K_{m,n}</math> is vertex-transitive if <math>m = n</math>
|-
| [[satisfies property::cubic graph]] || Yes ||
|-
| [[satisfies property::edge-transitive graph]] || Yes ||
|-
| [[satisfies property::symmetric graph]] || Yes ||
|-
| [[satisfies property::distance-transitive graph]] || Yes ||
|-
| [[satisfies property::bridgeless graph]] || Yes ||
|-
| [[satisfies property::strongly regular graph]] || Yes || The graph is a <math>\operatorname{srg}(6,3,0,3)</math>. In general, a complete bipartite graph <math>K_{m,n}</math> is strongly regular iff <math>m = n</math>, and in that case it is a <math>\operatorname{srg}(2m,m,0,m)</math>
|-
| [[satisfies property::bipartite graph]] || Yes || By definition of complete bipartite graph
|}
==Algebraic theory==
===Adjacency matrix===
The adjacency matrix is as follows:
<math>\begin{pmatrix} 0 & 0 & 0 & 1 & 1 & 1 \\0 & 0 & 0 & 1 & 1 & 1 \\0 & 0 & 0 & 1 & 1 & 1 \\ 1 & 1 &1 & 0 & 0 & 0 \\1 & 1 &1 & 0 & 0 & 0 \\1 & 1 &1 & 0 & 0 & 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]] || <math>t^6 - 9t^4</math>|| As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: <math>t^{m + n} - mnt^{m + n - 2} = t^{3 + 3} - (3)(3)t^{3 + 3 - 2} = t^6 - 9t^4</math>
|-
| [[minimal polynomial of a graph|minimal polynomial]] || <math>t^3 - 9t</math>|| As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: <math>t^3 - mnt = t^3 - (3)(3)t = t^3 - 9t</math>
|-
| rank of adjacency matrix || 2 || As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: 2 (independent of <math>m,n</math>)
|-
| eigenvalues (roots of characteristic polynomial) || 0 (4 times), 3 (1 time), -3 (1 time)|| As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: 0 (<math>m + n - 2 = 3 + 3 - 2 = 4</math> times), <math>\sqrt{mn} = \sqrt{(3)(3)} = 3</math> (1 time), <math>-\sqrt{mn} = -\sqrt{(3)(3)} = -3</math> (1 time)
|}
===Laplacian matrix===
The [[Laplacian matrix]] is as follows:
<math>\begin{pmatrix} 3 & 0 & 0 & -1 & -1 & -1 \\0 & 3 & 0 & -1 & -1 & -1 \\0 & 0 & 3 & -1 & -1 & -1 \\ -1 & -1 & -1 & 3 & 0 & 0 \\ -1 & -1 & -1 & 0 & 3 & 0 \\-1 & -1 & -1 & 0 & 0 & 3 \\\end{pmatrix}</math>
The matrix is uniquely defined up to permutation by conjugations. Below are some algebraic invariants associated with the matrix:
{| class="sortable" border="1"
! Algebraic invariant !! Value !! Explanation
|-
| characteristic polynomial || <math>t(t - 6)(t - 3)^4</math>|| As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: <math>t(t - (m + n))(t - m)^{n-1}(t-n)^{m-1}</math>
|-
| minimal polynomial || <math>t(t - 3)(t - 6)</math> || As complete bipartite graph <math>K_{m,m}, m = 3</math>: <math>t(t - m)(t - 2m)</math>
|-
| rank of Laplacian matrix || 5 || As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: <math>m + n - 1 = 3 + 3 - 1 = 5</math>
|-
| eigenvalues (roots of characteristic polynomial) || 0 (1 time), 6 (1 time), 3 (4 times) || As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: 0 (1 time), <math>m + n = 6</math> (1 time), <math>m = n = 3</math> (4 times: <matH>n - 1 = 3 - 1 = 2</math> times as <math>m</math> and <math>m - 1 = 3 - 1 = 2</math> times as <math>n</math>)
|}
===Normalized Laplacian matrix===
The [[normalized Laplacian matrix]] is as follows:
<math>\begin{pmatrix} 1 & 0 & 0 & -1/3 & -1/3 & -1/3 \\0 & 1 & 0 & -1/3 & -1/3 & -1/3 \\0 & 0 & 1 & -1/3 & -1/3 & -1/3 \\ -1/3 & -1/3 & -1/3 & 1 & 0 & 0 \\ -1/3 & -1/3 & -1/3 & 0 & 1 & 0 \\-1/3 & -1/3 & -1/3 & 0 & 0 & 1 \\\end{pmatrix}</math>
The matrix is uniquely defined up to permutation by conjugations. Below are some algebraic invariants associated with the matrix:
{| class="sortable" border="1"
! Algebraic invariant !! Value !! Explanation
|-
| characteristic polynomial || <math>t(t - 2)(t - 1)^4</math>|| As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: <math>t(t -  2)(t - 1)^{m + n -2}</math>
|-
| minimal polynomial || <math>t(t - 1)(t - 2)</math> || As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: <math>t(t - 1)(t - 2)</math> (independent of <math>m,n</math> as long as <math>m + n > 2</math>)
|-
| rank of normalized Laplacian matrix || 5 || As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: <math>m + n - 1 = 3 + 3 - 1 = 5</math>
|-
| eigenvalues (roots of characteristic polynomial) || 0 (1 time), 2 (1 time), 1 (4 times) || As complete bipartite graph <math>K_{m,n}, m = n = 3</math>: 0 (1 time), 2 (1 time), 1 (<math>m + n- 2 = 3 + 3 - 2 = 4</math> times)
|}

Latest revision as of 00:31, 26 May 2014

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)