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Combinatorics Through Guided Discovery, 2004a

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42 2. Applications of Induction and Recursion in <strong>Combinatorics</strong> and Graph Theory<br />

8<br />

6<br />

d<br />

7<br />

4<br />

5<br />

y<br />

x<br />

3<br />

2<br />

f<br />

e<br />

v<br />

z<br />

w<br />

c<br />

1<br />

a<br />

b<br />

Figure 2.3.1: Three different graphs<br />

Each gray circle in the figure represents a vertex; each line segment represents<br />

an edge. You will note that we labelled the vertices; these labels are names we chose<br />

to give the vertices. We can choose names or not as we please. The third graph<br />

also shows that it is possible to have an edge that connects a vertex (like the one<br />

labelled y) to itself or it is possible to have two or more edges (like those between<br />

vertices v and y) between two vertices. The degree of a vertex is the number of<br />

times it appears as the endpoint of edges; thus the degree of y in the third graph<br />

in the figure is four.<br />

◦ Problem 100. In the graph on the left in Figure 2.3.1, what is the degree of<br />

each vertex?<br />

◦ Problem 101. For each graph in Figure 2.3.1 is the number of vertices of<br />

odd degree even or odd?<br />

⇒ ·<br />

Problem 102. The sum of the degrees of the vertices of a (finite) graph is<br />

related in a natural way to the number of edges.<br />

(a) What is the relationship? (h)<br />

(b) Find a proof that what you say is correct that uses induction on the<br />

number of edges. Hint: To make your inductive step, think about<br />

what happens to a graph if you delete an edge. (h)

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