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Questions and Answers
What is an Euler path in graph theory?
What is an Euler path in graph theory?
Which condition indicates that a graph has an Euler circuit?
Which condition indicates that a graph has an Euler circuit?
What conclusion did Leonard Euler reach about the Seven Bridges of Königsberg?
What conclusion did Leonard Euler reach about the Seven Bridges of Königsberg?
What defines a graph as traversable?
What defines a graph as traversable?
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Which statement is true regarding Euler paths and circuits?
Which statement is true regarding Euler paths and circuits?
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What defines a mixed graph?
What defines a mixed graph?
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How do you determine if two vertices are adjacent?
How do you determine if two vertices are adjacent?
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What is the definition of the degree of a vertex?
What is the definition of the degree of a vertex?
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What does in-degree indicate for a vertex?
What does in-degree indicate for a vertex?
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What does the neighborhood N(v) of a vertex v comprise?
What does the neighborhood N(v) of a vertex v comprise?
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If a vertex has a degree of 3, how many edges are incident on it?
If a vertex has a degree of 3, how many edges are incident on it?
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If deg+(u) = 2 and deg-(u) = 0, what can be inferred about vertex u?
If deg+(u) = 2 and deg-(u) = 0, what can be inferred about vertex u?
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For the edge (u, v), which description is accurate?
For the edge (u, v), which description is accurate?
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What defines the edges in a directed graph?
What defines the edges in a directed graph?
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Which of the following best describes a self-loop in graph terminology?
Which of the following best describes a self-loop in graph terminology?
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In graph terminology, what are multiple edges?
In graph terminology, what are multiple edges?
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Which notation represents an undirected edge between two vertices u and v?
Which notation represents an undirected edge between two vertices u and v?
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What characterizes an undirected graph compared to a directed graph?
What characterizes an undirected graph compared to a directed graph?
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When defining a graph G = (V, E), what do V and E specifically represent?
When defining a graph G = (V, E), what do V and E specifically represent?
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Which of the following represents a directed edge from vertex u to vertex v?
Which of the following represents a directed edge from vertex u to vertex v?
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Which statement accurately applies to a graph composed of vertices and edges?
Which statement accurately applies to a graph composed of vertices and edges?
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What is the degree of vertex 'b' in the graph described?
What is the degree of vertex 'b' in the graph described?
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Which of the following vertices is considered pendant?
Which of the following vertices is considered pendant?
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What is an isolated vertex?
What is an isolated vertex?
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According to the Handshaking Theorem, how many edges does a graph with 10 vertices each of degree 6 have?
According to the Handshaking Theorem, how many edges does a graph with 10 vertices each of degree 6 have?
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Is it possible for a graph with 5 vertices to have each vertex with a degree of 3?
Is it possible for a graph with 5 vertices to have each vertex with a degree of 3?
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What is the degree of vertex 'k' in the provided graph structure?
What is the degree of vertex 'k' in the provided graph structure?
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In the context of the Handshaking Theorem, what does 'm' represent?
In the context of the Handshaking Theorem, what does 'm' represent?
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If vertex 'd' has a degree of 5, how many vertices is it directly connected to?
If vertex 'd' has a degree of 5, how many vertices is it directly connected to?
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What is a graph invariant?
What is a graph invariant?
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Which of the following is a graph invariant?
Which of the following is a graph invariant?
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If two graphs have different numbers of edges, what can be concluded?
If two graphs have different numbers of edges, what can be concluded?
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When determining if two graphs are isomorphic, which property cannot be ignored?
When determining if two graphs are isomorphic, which property cannot be ignored?
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Why were the graphs G and H not isomorphic in the example provided?
Why were the graphs G and H not isomorphic in the example provided?
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What does the function f represent in the context of graph isomorphism?
What does the function f represent in the context of graph isomorphism?
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What characteristic explains why determining graph isomorphism can be challenging?
What characteristic explains why determining graph isomorphism can be challenging?
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What is the minimal degree denoted as d(G) in graph theory?
What is the minimal degree denoted as d(G) in graph theory?
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What is required for two graphs to be considered isomorphic?
What is required for two graphs to be considered isomorphic?
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Which of the following best describes an isomorphism?
Which of the following best describes an isomorphism?
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Why is it difficult to determine if two graphs are isomorphic using brute force?
Why is it difficult to determine if two graphs are isomorphic using brute force?
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In the context of graph isomorphism, what is the significance of having the same vertex and edge counts?
In the context of graph isomorphism, what is the significance of having the same vertex and edge counts?
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Which application utilizes graph isomorphism in its process?
Which application utilizes graph isomorphism in its process?
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What can be inferred if two graphs have the same degree count for all vertices?
What can be inferred if two graphs have the same degree count for all vertices?
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Why might electronic circuits be modeled as graphs?
Why might electronic circuits be modeled as graphs?
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If two graphs are found to be not isomorphic, what can be concluded about their vertex degree distributions?
If two graphs are found to be not isomorphic, what can be concluded about their vertex degree distributions?
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Study Notes
Course Information
- Course: Graphs
- Instructor: Dr. Lama Affara
- Department: Mathematics and Computer Science
- University: Beirut Arab University
Topics Covered
- Proof Methods
- Recursion and Induction
- Counting
- Recurrence Relations
- Algorithms
- Graph Theory
- Number Theory
- Cryptography
- Discrete Structures II
Graph Theory Outline
- What are Graphs?
- Basic Terminology
- Graph Models
- Representing Graphs
- Adjacency Lists
- Adjacency Matrices
- Incidence Matrices
- Graph Theory
- Graph Isomorphism
- Graph Connectivity
- Euler and Hamilton Paths
Graph Definitions
- Graph: A structure representing relationships
- Vertices (Nodes): Connected by edges (arcs)
Formalizing Graphs
- Specify vertices and edges
- Vertices can be any item
- Persons
- Cities
- Neurons
- Webpages
- Edges:
- Directed: ordered pair (u, v) from u to v
- Undirected: unordered pair {u, v}
- Graph Definition: G=(V, E)
- V: set of vertices
- E: set of edges
- Graph Models:
- Simple Graph
- Undirected
- No loops or multiple edges
- Multigraph
- Undirected
- Multiple edges are allowed
- Pseudograph
- Undirected
- Multiple edges and loops allowed
- Directed Graph
- Directed Multigraph
- Mixed Graph
- Graph with both directed and undirected edges
- Simple Graph
- Graph Terminologies
- Self-loops: edge from a vertex to itself
- Multiple Edges: two or more edges connecting the same vertices
Adjacency
- Vertices u and v are adjacent if there's an edge e={u, v}
- The edge e is incident with u and v
Degree
- Degree of Vertex (deg(v)): number of edges incident on v
- Loop contributes twice
- Indegree(deg−(v)): number of edges to v
- Outdegree(deg+(v)): number of edges leaving v
Graph Theorem 1: Handshaking Theorem
- 2m = Σdeg(v)
- m: number of edges
- v: all vertices
- Sum of degrees is twice the number of edges
Graph Theorem 2
- Undirected graph has an even number of vertices with odd degrees
Graph Theorem 3
- For directed graphs: |E| = Σ deg-(v) = Σ deg+(v)
Representing Graphs
- Adjacency Lists: store vertices that are adjacent to each vertex
- Adjacency Matrices
- n × n zero-one matrix
- (i,j)th entry is 1 if vertices vi and vj are adjacent; 0 otherwise.
- Symmetric for undirected graphs
- Incidence Matrices
- n x m matrix
- (i,j)th entry is 1 if edge ej is incident with vertex vi; 0 otherwise.
Graph Isomorphism
- Isomorphism: One-to-one, onto (bijective) function.
- Preserves adjacency
- Labelled Vertices: Number of graphs grows exponentially with the number of vertices
- Unlabelled Vertices: Number of graphs is difficult to calculate
Graph Invariants
- Properties preserved by isomorphism:
- Number of vertices (|V|)
- Number of edges (|E|)
- Minimal degree (d(G))
- Maximal degree (D(G))
Connectivity
- Connected Graph: Path exists between every pair of distinct vertices
- Connected Components: Disjoint connected subgraphs in a graph
Euler Paths and Circuits
- Euler Path: Traverses each edge once
- Euler Circuit: Starts and ends at the same vertex and traverses each edge once
- Eulerian Graph: Contains an Euler circuit
- Conditions for Eulerian Graphs:
- Connected
- All vertices have even degrees
- Euler Path Conditions:
- Connected
- Exactly two vertices with odd degrees
Hamiltonian Paths and Circuits
- Hamiltonian Path: Visits every vertex exactly once
- Hamiltonian Cycle: Starts and ends at the same vertex and visits every vertex exactly once
- Hamiltonian Graph: Contains a Hamiltonian cycle
- No easy way to determine if a graph is Hamiltonian
Applications of Graph Isomorphism
- Chemists/molecular graphs
- Model chemical compounds
- Vertices are atoms; edges are bonds
- Isomorphic to a known compound
- Electronic circuits
- Model components and connections
- Verify circuit layouts
- Detect intellectual property theft
Applications of Euler Paths and Circuits
- Neighborhood layout
- Transportation networks
- Utility connections
- Communications networks
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Description
Test your knowledge on fundamental concepts of graphs, including basic definitions, representations, and key theories such as isomorphism and connectivity. This quiz covers various proof methods, recursion, and algorithms related to graph theory. Ideal for students in Dr. Lama Affara's class at Beirut Arab University.