Combinatorics Through Guided Discovery, 2004a
Combinatorics Through Guided Discovery, 2004a
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)