# 4.5: Introduction to Graph Theory

- Page ID
- 7163

\( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

\( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)

We can interpret the **sdr** problem as a problem about graphs. Given sets \(A_1,A_2,\ldots,A_n\), with \(\bigcup_{i=1}^n A_i=\{x_1,x_2,\ldots,x_m\}\), we define a graph with \(n+m\) vertices as follows: The vertices are labeled \(\{A_1,A_2,\ldots,A_n,x_1,x_2,\ldots x_m\}\), and the edges are \(\{\{A_i,x_j\}\mid x_j\in A_i\}\).

Example 4.4.1 Let \(A_1=\{a,b,c,d\}\), \(A_2=\{a,c,e,g\}\), \(A_3=\{b,d\}\), and \(A_4=\{a,f,g\}\). The corresponding graph is shown in figure 4.4.1.

Before exploring this idea, we introduce a few basic concepts about graphs. If two vertices in a graph are connected by an edge, we say the vertices are **adjacent**. If a vertex \(v\) is an endpoint of edge \(e\), we say they are **incident**. The set of vertices adjacent to \(v\) is called the **neighborhood** of \(v\), denoted \(N(v)\). This is sometimes called the **open neighborhood** of \(v\) to distinguish it from the **closed neighborhood** of \(v\), \(N[v]=N(v)\cup\{v\}\). The **degree** of a vertex \(v\) is the number of edges incident with \(v\); it is denoted \(\d(v)\).

Some simple types of graph come up often: A **path** is a graph \(P_n\) on vertices \(v_1,v_2,\ldots,v_n\), with edges \(\{v_i,v_{i+1}\}\) for \(1\le i\le n-1\), and no other edges. A **cycle** is a graph \(C_n\) on vertices \(v_1,v_2,\ldots,v_n\) with edges \(\{v_i,v_{1+(i\bmod n)}\}\) for \(1\le i\le n\), and no other edges; this is a path in which the first and last vertices have been joined by an edge. (Generally, we require that a cycle have at least three vertices. If it has two, then the two are joined by two distinct edges; when a graph has more than one edge with the same endpoints it is called a **multigraph**. If a cycle has one vertex, there is an edge, called a **loop**, in which a single vertex serves as both endpoints.) The **length** of a path or cycle is the number of edges in the graph. For example, \(P_1\) has length 0, \(C_1\) has length 1. A **complete graph** \(K_n\) is a graph on \(v_1,v_2,\ldots,v_n\) in which every two distinct vertices are joined by an edge. See figure 4.4.2 for examples.

The graph in figure 4.4.1 is a **bipartite graph**.

Definition 4.4.2 A graph \(G\) is bipartite if its vertices can be partitioned into two parts, say \(\{v_1,v_2,\ldots,v_n\}\) and \(\{w_1,w_2,\ldots,w_m\}\) so that all edges join some \(v_i\) to some \(w_j\); no two vertices \(v_i\) and \(v_j\) are adjacent, nor are any vertices \(w_i\) and \(w_j\).

The graph in figure 4.4.1 is bipartite, as are the first two graphs in figure 4.4.2.