Graphs in Discrete Mathematics

 
 
Section 13.1
 
Graphs
 
What are “Graphs”
 
Graphs are fundamental objects in discrete
mathematics that model relationships
between pairs of objects.
 
 
 
Graphs – Vocabulary
 
Vertex / Vertices
Edge(s)
Directed Graph
Undirected Graph
Parallel Edge
Self Loop
Adjacent
 
Endpoints
Incident
Neighbor
Degree
Total Degree
Regular Graph
Subgraph
 
Graphs – Vocabulary
 
Vertex / Vertices
Edge(s)
Directed Graph
Undirected Graph
 
 
Graphs — an overview
 
undirected
 
Graphs — an overview
 
labelled edges
 
Graphs — an overview
 
1987
 
2273
 
344
 
2145
 
2462
 
618
 
211
 
318
 
190
 
Graphs — an overview
 
Introduction: Formal Definition
 
A graph G = (V,E) consists of a finite set of
vertices, V, and a finite set of edges E.
Each edge is a pair (v,w) where v, w 
 V
 
undirected
 
Graphs — an overview
 
Introduction: Formal Definition
 
A 
directed
 graph, or 
digraph
, is a graph in
which the edges are ordered pairs
(v, w) 
≠ (w, v)
An 
undirected
 graph is a graph in which
the edges are unordered pairs
(v, w) == (w, v)
 
Graphs – Definitions
 
Vertex / Vertices
Edge(s)
Directed Graph
Undirected Graph
Parallel Edge
Self Loop
Adjacent
 
Endpoints
Incident
Neighbor
 
Graphs – Definitions
 
Vertex / Vertices
Edge(s)
Directed Graph
Undirected Graph
Parallel Edge
Self Loop
Adjacent
 
Endpoints
Incident
Neighbor
Degree
Total Degree
 
Graphs – Definitions
 
Vertex / Vertices
Edge(s)
Directed Graph
Undirected Graph
Parallel Edge
Self Loop
Adjacent
 
Endpoints
Incident
Neighbor
Degree
Total Degree
Regular Graph
Subgraph
 
Degrees
 
-  directed
     out-degree of x:  the number of edges 
(x,y)
     in-degree of x:  the number of edges 
(y,x)
 
degree:  sum of in-degree and out-degree
 
-  undirected
     degree of x:  the number of edges 
{x,y}
 
 
Degrees are often important in determining the
running time of an algorithm.
 
Examples
 
-  Roadmaps
 
-  Communication networks
 
-  WWW
 
-  Electrical circuits
 
-
Task schedules
 
-
Facebook friends
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Graphs are fundamental objects in discrete mathematics that model relationships between pairs of objects. This overview covers the vocabulary, formal definitions, and types of graphs, including directed and undirected graphs. Learn about vertices, edges, adjacency, and more essential concepts in graph theory.

  • Discrete mathematics
  • Graph theory
  • Relationships
  • Vertices
  • Edges

Uploaded on Oct 11, 2024 | 0 Views


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  1. Section 13.1 Graphs

  2. What are Graphs Graphs are fundamental objects in discrete mathematics that model relationships between pairs of objects.

  3. Graphs Vocabulary Vertex / Vertices Edge(s) Directed Graph Undirected Graph Parallel Edge Self Loop Adjacent Endpoints Incident Neighbor Degree Total Degree Regular Graph Subgraph

  4. Graphs Vocabulary Vertex / Vertices Edge(s) Directed Graph Undirected Graph

  5. Graphs an overview labelled vertices BOS DTW SFO PIT JFK LAX

  6. Graphs an overview labelled vertices BOS DTW SFO PIT JFK LAX edges undirected

  7. Graphs an overview labelled vertices BOS 618 DTW SFO 2273 211 190 318 PIT 1987 344 JFK 2145 2462 LAX labelled edges

  8. Graphs an overview labelled vertices BOS DTW SFO PIT JFK LAX directed edges

  9. Introduction: Formal Definition A graph G = (V,E) consists of a finite set of vertices, V, and a finite set of edges E. Each edge is a pair (v,w) where v, w V

  10. Graphs an overview labelled vertices BOS DTW SFO PIT JFK LAX edges undirected

  11. Introduction: Formal Definition A directed graph, or digraph, is a graph in which the edges are ordered pairs (v, w) (w, v) An undirected graph is a graph in which the edges are unordered pairs (v, w) == (w, v)

  12. Graphs Definitions Vertex / Vertices Edge(s) Directed Graph Undirected Graph Parallel Edge Self Loop Adjacent Endpoints Incident Neighbor

  13. Graphs Definitions Vertex / Vertices Edge(s) Directed Graph Undirected Graph Parallel Edge Self Loop Adjacent Endpoints Incident Neighbor Degree Total Degree

  14. Graphs Definitions Vertex / Vertices Edge(s) Directed Graph Undirected Graph Parallel Edge Self Loop Adjacent Endpoints Incident Neighbor Degree Total Degree Regular Graph Subgraph

  15. Degrees - directed out-degree of x: the number of edges (x,y) in-degree of x: the number of edges (y,x) degree: sum of in-degree and out-degree - undirected degree of x: the number of edges {x,y} Degrees are often important in determining the running time of an algorithm.

  16. Examples - Roadmaps - Communication networks - WWW - Electrical circuits - Task schedules - Facebook friends

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