1. CSE 211 Discrete Mathematics
Chapter 8.4
Connectivity

2. Paths in Undirected Graphs
There is a path from vertex v0 to vertex vn if there is a sequence of edges from v0 to vn
This path is labeled as v0,v1,v2,…,vn and has a length of n.
The path is a circuit if the path begins and ends with the same vertex.
A path is simple if it does not contain the same edge more than once.

3. Graph Theoretic Foundations
Paths and Cycles:
Walk in a graph G is v0, e1, v1, …, vl-1, el, vl

4. Graph Theoretic Foundations
Paths and Cycles:
IF v0, v1, …, vl are distinct (except possible v0,vl) then the walk is a path.
Denoted by v0, v1, …, vl or e1, e2, …, el
Length of path is l

5. Paths, Cycles, and Trails
A trail is a walk with no repeated edge.

6. Graph Theoretic Foundations
Paths and Cycles:
A path or walk is closed if v0 = vl
A closed path containing at least one edge is called a cycle.

7. Paths in Undirected Graphs
A path or circuit is said to pass through the vertices v0, v1, v2, …, vn or traverse the edges e1, e2, …, en.

8. Example u1, u4, u2, u3 Is it simple? yes What is the length? 3
Does it have any circuits? no
u u2
u5 u u3

9. Example u1, u5, u4, u1, u2, u3 Is it simple? yes What is the length? 5
Does it have any circuits?
Yes; u1, u5, u4, u1
u u2
u u3 u4

10. Example u1, u2, u5, u4, u3 Is it simple? yes What is the length? 4
Does it have any circuits? no
u u2
u u3 u4

11. Connectedness
An undirected graph is called connected if there is a path between every pair of distinct vertices of the graph.
There is a simple path between every pair of distinct vertices of a connected undirected graph.

12. Example Are the following graphs connected? Yes No c e f a d b g e c a

13. Connectedness (Cont.)
A graph that is not connected is the union of two or more disjoint connected subgraphs (called the connected components of the graph).

14. Example What are the connected components of the following graph? b d

15. Example What are the connected components of the following graph? b a
{a, b, c}, {d, e}, {f, g, h}

16. Cut edges and vertices
If one can remove a vertex (and all incident edges) and produce a graph with more connected components, the vertex is called a cut vertex.
If removal of an edge creates more connected components the edge is called a cut edge or bridge.

17. Example Find the cut vertices and cut edges in the following graph. ab c d f e h g

18. Example Find the cut vertices and cut edges in the following graph.b c d f e h g
Cut vertices: c and e
Cut edge: (c, e)

19. Graph Theoretic Foundations
Connectivity:
Connectivity (G) of graph G is …
G is k connected if (G)  k
Separator or vertex-cut
Cut vertex
Separation pair

20. Graph Theoretic Foundations
Trees and Forests:
Tree – connected graph without any cycle
Forest – a graph without any cycle

21. Connectedness in Directed Graphs
A directed graph is strongly connected if there is a directed path between every pair of vertices.
A directed graph is weakly connected if there is a path between every pair of vertices in the underlying undirected graph.

22. Example
Is the following graph strongly connected? Is it weakly connected?
This graph is strongly connected. Why? Because there is a directed path between every pair of vertices.
If a directed graph is strongly connected, then it must also be weakly connected.
a b c
e d

23. Example
Is the following graph strongly connected? Is it weakly connected?
This graph is not strongly connected. Why not? Because there is no directed path between a and b, a and e, etc.
However, it is weakly connected. (Imagine this graph as an undirected graph.)
a b c
e d

24. Connectedness in Directed Graphs
The subgraphs of a directed graph G that are strongly connected but not contained in larger strongly connected subgraphs (the maximal strongly connected subgraphs) are called the strongly connected components or strong components of G.

25. Example
What are the strongly connected components of the following graph?
a b c
e d
This graph has three strongly connected components:
The vertex a
The vertex e
The graph consisting of
V = {b, c, d} and
E = { (b, c), (c, d), (d, b)}

26. Distance in Trees and Graphs
Consider a connected graph G. The distance between vertices u and v in G, written d(u, v), is the length of the shortest path between u and v. The diameter of G, written diam(G), is the maximum distance between any two points in G. For example, in Fig. 1-8(a), d(A,F) = 2 and diam(G) = 3, whereas in Fig. 1-8(b), d(A, F) = 3 and diam(G) = 4

27. Distance in Trees and Graphs
If G has a u, v-path, then the distance from u to v, written dG(u, v) or simply d(u, v), is the least length of u, v-path.
The diameter (diam G) is maxu,vV(G)d(u,v)

28. Distance in Trees and Graphs
Find the diameter, eccentricity, radius and center of the given G.

29. CSE 211 Discrete Mathematics and Its Applications
Chapter 8.5
Euler and Hamilton Paths

30. Euler Paths and Circuits
The Seven bridges of Königsberg A B C D a b c d

31. Euler Paths and Circuits
An Euler path is a path using every edge of the graph G exactly once.
An Euler circuit is an Euler path that returns to its start. A B C D
Does this graph have an Euler circuit?
No.

32. Necessary and Sufficient Conditions
How about multigraphs?
A connected multigraph has a Euler circuit iff each of its vertices has an even degree.
A connected multigraph has a Euler path but not an Euler circuit iff it has exactly two vertices of odd degree.

33. Example yes no no (a, e, c, d, e, b, a)
Which of the following graphs has an Euler circuit? e d a c b e d a c b e c a d b
yes no no
(a, e, c, d, e, b, a)

34. Example yes no yes (a, e, c, d, e, b, a ) (a, c, d, e, b, d, a, b)
Which of the following graphs has an Euler path? e d a c b e d a c b e c a d b
yes no yes
(a, e, c, d, e, b, a ) (a, c, d, e, b, d, a, b)

35. Euler Circuit in Directed Graphs
NO (a, g, c, b, g, e, d, f, a) NO

36. Euler Path in Directed Graphs
NO (a, g, c, b, g, e, d, f, a) (c, a, b, c, d, b)

37. Hamilton Paths and Circuits
A Hamilton path in a graph G is a path which visits every vertex in G exactly once.
A Hamilton circuit is a Hamilton path that returns to its start.

38. Hamilton Circuits
Is there a circuit in this graph that passes through each vertex exactly once?

39. Hamilton Circuits
Yes; this is a circuit that passes through each vertex exactly once.

40. Finding Hamilton Circuits
Which of these three figures has a Hamilton circuit? Of, if no Hamilton circuit, a Hamilton path?

41. Finding Hamilton Circuits
G1 has a Hamilton circuit: a, b, c, d, e, a
G2 does not have a Hamilton circuit, but does have a Hamilton path: a, b, c, d
G3 has neither.

42. Finding Hamilton Circuits
Unlike the Euler circuit problem, finding Hamilton circuits is hard.
There is no simple set of necessary and sufficient conditions, and no simple algorithm.

43. Properties to look for ... No vertex of degree 1
If a node has degree 2, then both edges incident to it must be in any Hamilton circuit.
No smaller circuits contained in any Hamilton circuit (the start/endpoint of any smaller circuit would have to be visited twice).

44. A Sufficient Condition
Let G be a connected simple graph with n vertices with n  3.
G has a Hamilton circuit if the degree of each vertex is  n/2.

45. Travelling Salesman Problem
A Hamilton circuit or path may be used to solve practical problems that require visiting “vertices”, such as:
road intersections
pipeline crossings
communication network nodes
A classic example is the Travelling Salesman Problem – finding a Hamilton circuit in a complete graph such that the total weight of its edges is minimal.

46. Summary Property Euler Hamilton
Repeated visits to a given node allowed?
Yes No
Repeated traversals of a given edge allowed?
Omitted nodes allowed?
Omitted edges allowed?