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Graph Theory Summer Math Workshop for High School

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Graph theory is structure and relationships. Alice and Bob take geometry together ... the same relationships but possibly different drawings are called isomorphic. ... – PowerPoint PPT presentation

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Title: Graph Theory Summer Math Workshop for High School


1
Graph TheorySummer Math Workshop for High
School Middle School Teachers Sarah
HollidayJune 12, 2009
2
Graph theory is not...
  • Cartesian plotting

3
Graph theory is structure and relationships
  • Alice and Bob take geometry together
  • Alice and Chuck take French together
  • Bob and Dave take history together
  • Chuck and Ed take English together
  • Bob and Ed take Latin together
  • Dave and Ed take PE together

4
Graph theory is structure and relationships
A
B
C
E
D
5
Graph theory is not...
  • Just pictures

6
Graph theory includes
  • Colouring
  • Planarity
  • Isomorphisms
  • Counting
  • Coding
  • Designs

7
Graph theory is problem solving
  • Unlike an algebraic question in which a specific
    numeric answer is sought, a graph theory problem
    will more often ask for a sentence. The results
    from graph theory problems are abstract provide a
    launching point for writing across the curriculum
    and group discussions

8
Colouring
  • Colouring a graph is the process of assigning
    labels to the vertices.
  • A proper colouring is one in which no two
    adjacent vertices have the same colour or
    assigned label.
  • A minimum proper colouring is a proper colouring
    using the fewest possible colours.

9
Colouring
10
A colouring
2
2
1
3
5
2
3
3
4
2
11
A proper colouring
2
2
1
3
5
2
5
3
4
2
12
A minimum proper colouring
2
2
1
3
1
2
1
3
4
2
13
A colouring problem
  • A department chair needs to schedule nine classes
    A through I in as few rooms as possible. There
    are certain conflicts that must be avoided. How
    can the chair schedule the classes?

14
A colouring problem
  • Sue teaches classes A, B, C, and D.
  • Tim teaches classes E, F, and G.
  • Una teaches classes H and I.
  • Classes A, F, and I use the projector.
  • Classes B, E, G, and H use the legos.

15
A colouring problem
A
B
C
I
D
H
E
G
F
16
A colouring problem
1
2
A
B
3
C
3
I
4
D
H
4
E
1
G
F
3
2
17
A colouring problem
  • One solution
  • In time slot 1, classes A and E
  • In time slot 2, classes B and F
  • In time slot 3, classes C, G and I
  • In time slot 4, classes D and H

18
Colouring maps
  • We can use a graph to represent physical
    relationships. We will mark a vertex for each
    state, and draw an edge between two vertices that
    share a border (not just a corner).

19
Colouring maps
20
Colouring maps
21
Colouring maps
  • How many colours are required to properly colour
    a map or a graph that represents a map?
  • The second example shows us that four colours
    suffice.
  • A graph that has a map representation is called
    planar.

22
Planarity
  • A graph that can be represented using vertices
    and edges that do not cross is planar we say
    that the graph can be drawn in the plane.

23
Planarity
24
Planarity
B
A
C
D
25
Planarity
B
A
C
D
26
Planarity
27
Planarity
28
Planarity
29
Planarity Euler's formula
  • The problem of determining which graphs are
    planar was indirectly addressed by Euler in the
    formula V-EF2, where V is the number of
    vertices, E edges and F faces.

30
Isomorphisms
  • Two graphs that have the same relationships but
    possibly different drawings are called
    isomorphic.
  • http//www.planarity.net/

31
Counting
  • One family of graphs is called the complete
    graphs, or cliques. These graphs include all
    possible edges between each pair of vertices.
  • An interesting exercise that illustrates some of
    the fun of graph theory is to count the number of
    edges in a clique on n vertices.

32
Counting
33
Counting
34
Counting
35
Counting
  • The number of edges in the (n1)-clique is the
    number of edges in the (n)-clique n.

36
Counting
  • There are n vertices. Each vertex is adjacent to
    all the others. There are (n-1) other vertices,
    so that makes n(n-1) edge-ends. Each edge has
    two ends, so there are n(n-1)/2 edges in an
    n-clique.

37
Coding
38
Coding
39
Coding
40
Coding
41
Coding
42
Coding
43
Coding
44
Coding
45
Coding
46
Coding
47
Coding
0
1
48
Coding
00
01
10
11
49
Coding
000
001
101
010
110
111
50
Coding
0000
0001
1001
1101
0010
0110
1111
1110
51
Coding
  • Error-detecting codes will be made of a
    dictionary of words that are nonadjacent vertex
    labels
  • 0
  • 01,10
  • 101, 000, 110, 011

52
Designs
  • The design of experiments in this context is the
    search for an efficient distribution of trials to
    eliminate redundancies while still providing
    comparison data.

53
Designs
  • Acme cookie company has seven varieties of cookie
    to test Almond, Butter Chocolate, Date,
    Everything, Fig and Gingersnaps. Their oven
    holds three cookie trays at a time.

54
Designs
A
B
G
C
F
D
E
55
Designs
A
B
G
C
F
D
E
56
Designs
A
B
G
C
F
D
E
57
Designs
A
B
G
C
F
D
E
58
Designs
A
B
G
C
F
D
E
59
Designs
A
B
G
C
F
D
E
60
Designs
A
B
G
C
F
D
E
61
Further topics
  • Decompositions
  • Domination
  • Extrema
  • Topology
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