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Combinatorics Through Guided Discovery, 2004a

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2.3. Graphs and Trees 41<br />

Problem 99. Do this problem only if your final answer (so far) to Problem 98<br />

contained the sum ∑ n−1<br />

i=0 dbi .<br />

(a) Expand (1 − x)(1 + x). Expand (1 − x)(1 + x + x 2 ). Expand (1 − x)(1 +<br />

x + x 2 + x 3 ).<br />

(b) What do you expect (1 − b) ∑ n−1<br />

i=0 dbi to be? What formula for ∑ n−1<br />

i=0 dbi<br />

does this give you? Prove that you are correct.<br />

In Problem 98 and perhaps 99 you proved an important theorem.<br />

Theorem 2.2.2. If b 1 and a n = ba n−1 + d, then a n = a 0 b n + d 1 − bn<br />

. If b =1,<br />

1 − b<br />

then, a n = a 0 + nd<br />

∑n−1<br />

Corollary 2.2.3. If b 1, then b i = 1 − bn ∑n−1<br />

1 − b .Ifb =1, b i = n.<br />

i=0<br />

2.3 Graphs and Trees<br />

2.3.1 Undirected graphs<br />

In Section 1.3.4 we introduced the idea of a directed graph. Graphs consist of<br />

vertices and edges. We describe vertices and edges in much the same way as we<br />

describe points and lines in geometry: we don’t really say what vertices and edges<br />

are, but we say what they do. We just don’t have a complicated axiom system the<br />

way we do in geometry. A graph consists of a set V called a vertex set and a set<br />

E called an edge set. Each member of V is called a vertex and each member of<br />

E is called an edge. Associated with each edge are two (not necessarily different)<br />

vertices called its endpoints. We draw pictures of graphs by drawing points to<br />

represent the vertices and line segments (curved if we choose) whose endpoints<br />

are at vertices to represent the edges. In Figure 2.3.1 we show three pictures of<br />

graphs.<br />

i=0

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