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MAT3707 Graph Theory – University of South Africa – Summary of Formulae for Chapter 1 (Study Units 1–6)

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This document provides a structured summary of key definitions, theorems, and problem-solving techniques for MAT3707 Graph Theory, covering Study Units 1–6. Topics include introduction to graphs, planar graphs, Euler cycles and Hamilton circuits, graph colouring, trees, and minimal spanning trees. It outlines essential terminology, important results, and algorithmic approaches such as Kruskal’s and Prim’s methods for minimal spanning trees. The content serves as a concise formula and concept reference for exam preparation and coursework.

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August 12, 2025
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Contents
Part 1 – Graph Theory (Study Units 1–6) .......................................................................................................2
1. Introduction to Graphs .................................................................................................................................2
2. Planar Graphs ...................................................................................................................................................3
3. Euler Cycles & Hamilton Circuits ..............................................................................................................4
4. Graph Colouring...............................................................................................................................................5
5. Trees .....................................................................................................................................................................6
6. Minimal Spanning Trees...............................................................................................................................6

, Part 1 – Graph Theory (Study Units 1–6)

1. Introduction to Graphs
Key Definitions:

• Graph: finite set of vertices 𝑉 and edges 𝐸 joining pairs of distinct vertices (no
loops/parallel edges).

• Vertex (node); Edge (link); Adjacent vertices; Incident edge; Order 𝑛 = |𝑉|;

Size 𝒆 = |𝑬|.

• Directed graph (digraph) – edges have direction; in-degree, out-degree.

• Path – sequence of distinct vertices/edges; Length = number of edges.

• Circuit – path returning to start vertex.

• Connected graph – path between every pair of vertices.

• Component – maximal connected subgraph.

• Degree 𝑑(𝑣) – number of neighbours; Isolated vertex – degree 0.

• Isomorphic graphs – same adjacency structure.

• Complete graph 𝐾𝑛 – all vertices adjacent.

• Bipartite graph – vertex set split into two independent sets;

Complete bipartite graph 𝐾𝑚,𝑛

• Complement – edges between all non-adjacent pairs.

• Subgraph – subset of vertices/edges.

Theorems:

• Edge-counting theorem: ∑𝑣∈𝑉 𝑑(𝑣) = 2𝑒 (undirected graphs). Proof uses each
edge contributing degree 2.

• Characterisation of bipartite graphs: A graph is bipartite ⇔ no odd-length
circuits.
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