index

Chapter 1: Introduction to Graph Theory

  • Overview: This lecture covers the fundamental concepts of graph theory including walks, trails, circuits, paths, Euler paths, Hamiltonian paths, connected graphs, strongly connected digraphs, and transitive closures.

Definition of a Walk

  • A walk is a sequence of vertices and edges in a graph where both can be repeated.

  • Example: A walk from vertex v1 to v2, to v3, to v4, and finally to v6 is counted as 4 edges (denoted by e1, e2, e3, e4).

  • Length of the walk is determined by the number of edges traversed.

Definition of a Trail

  • A trail is a special type of walk where no edge is repeated, though vertices can be.

  • Example: The red path e1, e2, e3, e5, e6 shows distinct edges making it a trail.

Chapter 2: Path and Circuit

  • Circuit: A circuit is defined as a closed trail, allowing for repeated vertices but no repeated edges.

    • Example: The sequence of edges e7, e6, e8, e3, e2, e1 forms a closed trail, hence it is a circuit.

  • Path: A path is a trail where neither vertices nor edges repeat.

    • Example: The sequence e1, e2, e3, e4 from v1 to v6 is a valid path of length 4.

  • Cycle: A cycle is a closed path where a vertex is reachable from itself.

    • Example: The sequence v1, v2, v5, v1 constitutes a closed path (cycle) of length 3.

Chapter 3: Eulerian and Hamiltonian Paths

  • Eulerian Path: An Eulerian path is a path that visits every edge of a graph exactly once, making the graph traversable.

    • Example: The path formed from edges e2, e4, e6, e7, e5, e3, and e1 demonstrates an Eulerian path.

  • Hamiltonian Path: This path visits each vertex exactly once.

    • Example: The red line in the graph representing a Hamiltonian path only passes through each vertex once.

  • Hamiltonian Cycle: A cycle that visits every vertex exactly once, except the starting vertex which is visited twice (once at the start and end).

    • Example: A Hamiltonian cycle example graph G2 which passes through all vertices of graph G1.

Chapter 4: Connectivity in Graphs

  • Connected Graph: An undirected graph is connected if there exists a path between any pair of vertices.

    • Example: A connected graph allows travel between any two nodes via edges.

  • Strongly Connected Digraph: A directed graph is strongly connected if a directed path exists between every pair of vertices.

    • Example: If a graph provides directed paths between all vertex pairs, it is classified as strongly connected.

  • Transitive Closure: The transitive closure of a directed graph G, denoted G*, contains directed edges from vertex u to vertex v if there exists any path from u to v.

    • Illustrates reachability by creating new edges based on existing connections.

Chapter 5: Conclusion

  • Summary of topics covered: Difference between walks, trails, circuits, paths, and cycles, along with Eulerian and Hamiltonian concepts. Discussion about graph connectivity, strongly connected digraphs, and the concept of transitive closures in graphs.

  • Importance of these concepts for analyzing and understanding graph structures.