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Questions and Answers
What is the correct definition of a graph in graph theory?
What is the correct definition of a graph in graph theory?
Which of the following correctly describes a neighborhood in graph theory?
Which of the following correctly describes a neighborhood in graph theory?
Which statement correctly describes a directed graph?
Which statement correctly describes a directed graph?
What distinguishes a weighted graph from other types of graphs?
What distinguishes a weighted graph from other types of graphs?
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What is the correct notation to denote the set of vertices in a graph G?
What is the correct notation to denote the set of vertices in a graph G?
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In the context of graph theory, what does a null graph represent?
In the context of graph theory, what does a null graph represent?
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Which characteristic accurately describes an undirected graph?
Which characteristic accurately describes an undirected graph?
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Which of the following best describes a loop in graph theory?
Which of the following best describes a loop in graph theory?
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What defines a tree in an undirected graph?
What defines a tree in an undirected graph?
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What characterizes adjacent nodes in a graph?
What characterizes adjacent nodes in a graph?
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In the context of directed graphs, how is the degree of a vertex determined?
In the context of directed graphs, how is the degree of a vertex determined?
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What does an isolated vertex mean in graph theory?
What does an isolated vertex mean in graph theory?
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What distinguishes a 'walk' from a 'trail' in graph terminology?
What distinguishes a 'walk' from a 'trail' in graph terminology?
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How is a closed path defined in graph theory?
How is a closed path defined in graph theory?
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If a vertex has a degree of 0, what can be said about it?
If a vertex has a degree of 0, what can be said about it?
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What outcome is true if there are two vertices with more than one path connecting them in a tree?
What outcome is true if there are two vertices with more than one path connecting them in a tree?
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Study Notes
History of Graph Theory
- Graphs are used to model pairwise relationships between objects
- The study of graphs has been around for centuries, with its origins traced back to Euler's work on the Königsberg bridge problem in the 18th century.
Basic Concepts of Graph Theory
- A graph is a collection of nodes (vertices) and edges that represent connections between those nodes.
- Graphs are often represented using the notation G = (V, E), where V is the set of vertices and E is the set of edges.
Graph Representations
- Graphs can be represented in various ways, including adjacency matrices, adjacency lists, and incidence matrices.
Graph Terminologies
- Vertex/Node: Basic element of a graph, represented as a dot or node.
- Edge/Arc: A connection between two vertices, represented as a line.
- Neighborhood: The set of nodes connected to a given node via an edge.
Different Types of Graphs
- Undirected Graph: Edges have no direction.
- Directed Graph (Digraph): Edges have direction, represented by arrows.
- Weighted Graph: Edges have associated numerical values (weights).
- Empty Graph: No edges between vertices.
- Null Graph: No nodes or edges.
- Tree: Connected and acyclic undirected graph, with a unique path between any two nodes.
Undirected Graph
- Edges represent relationships without direction
- Edges are unordered pairs of nodes
- Example: Friendship network, where edges represent friendships between people
- Example: A graph representing friendships, with people as vertices and edges connecting friends.
Directed Graph
- Edges have direction
- Edges are ordered pairs of nodes
- Example: Edges represent one-way relationships, such as followers on social media or roads where travel is only possible in one direction.
- Example: A graph depicting a social network where edges represent "follows" relationships, indicating who follows whom.
Weighted Graph
- Edges have numerical values representing weights
- Weights represent factors like distances, costs, or capacities
- Example: A graph representing cities, where edges represent distances between them with weights representing kilometers.
Connected and Isolated Vertex
- Connected: Two vertices are connected if there is a path between them.
- Isolated Vertex: A vertex that is not connected to any other vertex.
- Example: In a social network graph, an isolated vertex would represent an individual without any connections.
Adjacent Nodes
- Two nodes are adjacent if they are connected by an edge.
- An edge where the two end vertices are the same is called a loop or a self-loop.
- Example: In a friendship graph, two people are adjacent if they are friends.
Degree of a Vertex
- Degree (Undirected Graphs): The number of edges incident on a node.
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Degree (Directed Graphs):
- In-degree: The number of edges entering the node.
- Out-degree: The number of edges leaving the node.
- Total degree: The sum of in-degree and out-degree.
- Example: In a directed graph representing a network of roads, the in-degree of a vertex representing a city represents the number of roads leading into the city, while the out-degree represents the number of roads leading out of the city.
Walk, Trail, & Path
- Walk: A sequence of nodes and edges, where edges and nodes may be repeated.
- Trail: A walk where no edge is repeated, but nodes may be repeated.
- Path: A trail where no vertex is repeated.
- Cycle: A closed path.
- Example: In a map representing cities and roads, a walk could be a route that visits some cities and roads multiple times, a trail could be a route that visits each road only once but may return to a city, and a path would be a route that visits each city and road only once.
Classification of Graph Terms
- Global Terms: Refer to the whole graph.
- Local Terms: Refer to a specific node in a graph.
- Example: Graph diameter is a global term that refers to the longest shortest path between any two vertices in a graph. The degree of a vertex is a local term that describes the number of edges connected to a specific node.
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Description
Explore the fundamentals of graph theory, including its history, basic concepts, and various representations. This quiz covers essential terminologies and different types of graphs, enhancing your understanding of how graphs model relationships between objects.