Math Problem Statement

Answer the questions related to different types of graphs, vertices, edges, and subgraphs in graph theory.

Solution

Here are the answers to the questions on your worksheet:

[1-8] Questions:

  1. The types of graphs shown are:

    • Graph 1: Complete graph K4K_4 (since each vertex is connected to every other vertex).
    • Graph 2: Multigraph (contains multiple edges between the same pair of vertices).
  2. A graph with multiple edges connecting the same pair of vertices is called a multigraph.

  3. The set of vertices adjacent (or neighboring) to a vertex aa is called the neighborhood of aa.

  4. In the context of graph G=(V,E)G = (V, E), where aVa \in V, the set of vertices adjacent to aa is often denoted by N(a)N(a) or neighborhood of aa.

  5. A vertex with a degree of 0 (no edges connected to it) is called an isolated vertex.

  6. A vertex with a degree of 1 is called a pendant vertex or leaf.

  7. A graph containing directed edges is called a directed graph or digraph.

  8. A subgraph of GG that is not identical to GG itself is called a proper subgraph.

[9-15] Questions:

  1. In a simple, undirected graph with 10 vertices and 10 edges, the number of edges should be 5 if it’s a connected graph (matching up to each vertex’s degree).

  2. The last graph in the image can be determined to be bipartite if it can be divided into two disjoint sets such that no two vertices within the same set are adjacent. Answer: O (Yes, it is bipartite).

If you have further questions about any particular answer, let me know.

Additional Questions to Explore:

  1. What makes a graph complete, and how does it differ from a multigraph?
  2. Can a multigraph have directed edges, or is it limited to undirected edges?
  3. How does the neighborhood of a vertex help in analyzing graph properties?
  4. What are practical examples of isolated and pendant vertices in real-world networks?
  5. Why are bipartite graphs significant, and in what scenarios are they useful?

Tip:

When analyzing a graph, checking for properties like connectivity, degree sequence, and the presence of loops or multiple edges can help quickly classify it into categories such as simple graphs, multigraphs, or bipartite graphs.

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Math Problem Analysis

Mathematical Concepts

Graph Theory
Undirected Graphs
Directed Graphs
Multigraphs
Complete Graphs
Subgraphs
Bipartite Graphs
Vertices and Edges

Formulas

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Theorems

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Suitable Grade Level

Undergraduate (Math/Computer Science)