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How many subgraphs with at least one vertex does \(K_{2}\) have?

Short Answer

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Step by step solution

01

Define the Graph

A complete graph with 2 vertices is denoted as \(K_2\). It consists of 2 vertices and 1 edge connecting them.
02

Identify Possible Subgraphs

List all possible subgraphs that can be formed with at least one vertex from \(K_2\). These include: one vertex alone (there are two such subgraphs, one for each vertex) and the whole graph itself, which includes both vertices and the edge.
03

Count the Subgraphs

From Step 2, we have identified 3 subgraphs: one subgraph for each of the vertices and one subgraph that includes both vertices and the edge. Hence, the total number of subgraphs with at least one vertex is 3.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Complete Graph
A complete graph, often denoted as \(K_n\), is a type of graph in graph theory where every pair of distinct vertices is connected by a unique edge. This means if you have \(n\) vertices, there will be \[\frac{n(n-1)}{2}\] edges in the graph. For instance, in the graph \(K_2\), there are 2 vertices and 1 edge connecting them.
Subgraphs
A subgraph is a smaller part of a graph that consists of a subset of its vertices and edges. The subgraphs of a given graph can have varying numbers of vertices and edges, but they must all be parts of the original graph. For instance, in the case of \(K_2\), the possible subgraphs with at least one vertex include:
  • A subgraph containing only one of the two vertices (there are two such subgraphs)
  • The entire graph itself, which includes both vertices and the edge connecting them
Graph Theory
Graph theory is a field of mathematics that studies the properties and applications of graphs. Graphs are structures made up of vertices (also called nodes) connected by edges. This theory is useful for modeling relationships and solving problems in various fields such as computer science, biology, and social sciences. By understanding concepts like complete graphs and subgraphs, one can analyze and solve complex problems more efficiently.

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