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Graphs 
A graph G = (V, E) consists of a vertex set V 
and an edge set E, where each edge is an 
unordered pair of vertices.
Example 
x e e6 2 
z ee4 1 y e 
w 3 e5 
Vertex set V = {x,y,z,w} 
Edge set 
where e6 
E = 
is a 
are 
{ei: i=1,2,3,4,5,6}. 
loop and 
and 4 5 
4
Colourings of graphs 
A 3-colouring, satisfying the condition: 
Every two adjacent vertices are assigned 
colours. 
different
Application of colourings 
z1 
y z2 2 
y1 
y2 y1 
x1 
x2 z1 x1 
x2 z2 
The traffic flow must 3 colours are required. 
be separated into 3 
periods.
Colourings of maps 
In national map, neighbour provinces are 
usually assigned different colours. 
Zhejiang 
Jiangxi
History of chromatic 
polynomial 
1.The chromatic polynomial was introduced by Birkhoff in 1912 
as a way to attack the four-colour problem. 
2. Whitney (1932) established many fundamental results. 
3. Birkhoff and Lewis in 1946 conjectured that the chromatic of 
any planar graph has no zeros larger than 4.
4. R.C. Read in 1968 published an well 
referenced introductory 
polynomials. 
article on chromatic
Chromatic 
Polynomials 
Chromatic Polynomials for a given 
graph G, the number of ways of 
coloring the vertices with x or fewer 
colors is denoted by P(G, x) and is 
called the chromatic polynomial of G 
(in terms of x). 
Examples: 
G = chain of length n-1 (so there are n vertices) 
P(G, x) = x(x-1)n-1
For any graph G of order n, if 
n 
P ( G , x ) = Σ a x i , i 
i=1
Examples: 
G = K4 
P(G, x) = x(x-1)(x-2)(x-3) = x(4) 
G = Star5 
P(G, x) = x(x-1)5 
G = C4 
P(G, x) = x(x-1)2 + x(x-1)(x-2)2 = x4 - 4x3 + 6x2 - 3x
Decomposition Theorem 
 To find chromatic number of a given graph 
- no define algorithm so far 
-Range can be found as follows 
X(g)<= 1+Δ(g) , Δ(g) is the maximum degree of a vertex in graph.
Chromatic Polynomials of complete graph 
(n-1) 
x(x-1)
Chromatic Polynomials through 
Decomposition theorem 
 1. -Find a pair of non-adjacent 
vertex. 
 2. Fuse(a,b) to from a simple graph 
by replacing parallel edge with 
single edge. 
 Repeat step 1 and 2 on these 
graph till all nodes are comlete 
graph 
Examples:-
Applications

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Graph Theory

  • 1. Graphs A graph G = (V, E) consists of a vertex set V and an edge set E, where each edge is an unordered pair of vertices.
  • 2. Example x e e6 2 z ee4 1 y e w 3 e5 Vertex set V = {x,y,z,w} Edge set where e6 E = is a are {ei: i=1,2,3,4,5,6}. loop and and 4 5 4
  • 3. Colourings of graphs A 3-colouring, satisfying the condition: Every two adjacent vertices are assigned colours. different
  • 4. Application of colourings z1 y z2 2 y1 y2 y1 x1 x2 z1 x1 x2 z2 The traffic flow must 3 colours are required. be separated into 3 periods.
  • 5. Colourings of maps In national map, neighbour provinces are usually assigned different colours. Zhejiang Jiangxi
  • 6. History of chromatic polynomial 1.The chromatic polynomial was introduced by Birkhoff in 1912 as a way to attack the four-colour problem. 2. Whitney (1932) established many fundamental results. 3. Birkhoff and Lewis in 1946 conjectured that the chromatic of any planar graph has no zeros larger than 4.
  • 7. 4. R.C. Read in 1968 published an well referenced introductory polynomials. article on chromatic
  • 8. Chromatic Polynomials Chromatic Polynomials for a given graph G, the number of ways of coloring the vertices with x or fewer colors is denoted by P(G, x) and is called the chromatic polynomial of G (in terms of x). Examples: G = chain of length n-1 (so there are n vertices) P(G, x) = x(x-1)n-1
  • 9. For any graph G of order n, if n P ( G , x ) = Σ a x i , i i=1
  • 10. Examples: G = K4 P(G, x) = x(x-1)(x-2)(x-3) = x(4) G = Star5 P(G, x) = x(x-1)5 G = C4 P(G, x) = x(x-1)2 + x(x-1)(x-2)2 = x4 - 4x3 + 6x2 - 3x
  • 11. Decomposition Theorem  To find chromatic number of a given graph - no define algorithm so far -Range can be found as follows X(g)<= 1+Δ(g) , Δ(g) is the maximum degree of a vertex in graph.
  • 12. Chromatic Polynomials of complete graph (n-1) x(x-1)
  • 13. Chromatic Polynomials through Decomposition theorem  1. -Find a pair of non-adjacent vertex.  2. Fuse(a,b) to from a simple graph by replacing parallel edge with single edge.  Repeat step 1 and 2 on these graph till all nodes are comlete graph Examples:-