Verify through listing all the possibilities of random graphs with three nodes that the probability that a graph with n-nodes is connected formula is correct when n=3

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
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**Title: Exploring Connected Graphs with Three Nodes**

**Objective:**  
Verify the probability that a graph with n-nodes is connected, specifically when n=3, by listing all possibilities of random graphs with three nodes.

**Overview:**  
In this activity, we explore the concept of graph connectivity using a simple case of three nodes. By examining all possible configurations of edges between these nodes, we aim to understand the probability of forming a connected graph.

**Method:**

1. **List all Possible Graph Configurations:**
   - Understand that with three nodes, each pair can either be connected by an edge or not. 
   - There are a total of three pairs: (1,2), (2,3), and (1,3).

2. **Possible Configurations:**
   - No edges: The graph is not connected.
   - One edge: Only one pair is connected; the graph is disconnected.
   - Two edges: Two pairs are connected; the graph remains disconnected.
   - Three edges: All pairs are connected; the graph is fully connected.

**Analysis:**

- **Connectivity Determination:** Out of all possible configurations, only one (all three edges present) forms a connected graph.
  
- **Probability Calculation:**
   - Determine the number of configurations that result in a connected graph versus all possible configurations.
   - Calculate probability as the ratio of connected configurations to total configurations.

**Conclusion:**  
By analyzing these configurations, you can verify if the probability aligns with the theoretical formula for the probability of connectivity for a graph with n=3 nodes. This exercise demonstrates fundamental graph theory concepts and their practical probability implications.

---

**Graph Visualization:**
- If graphs are provided, each graph would typically show nodes as circles and edges as lines connecting them.
- Diagrams would depict various combinations of edges between the three nodes, aiding in visual comprehension of connected versus disconnected states. 

This exercise is a foundational step in understanding more complex graph connectivity scenarios.
Transcribed Image Text:**Title: Exploring Connected Graphs with Three Nodes** **Objective:** Verify the probability that a graph with n-nodes is connected, specifically when n=3, by listing all possibilities of random graphs with three nodes. **Overview:** In this activity, we explore the concept of graph connectivity using a simple case of three nodes. By examining all possible configurations of edges between these nodes, we aim to understand the probability of forming a connected graph. **Method:** 1. **List all Possible Graph Configurations:** - Understand that with three nodes, each pair can either be connected by an edge or not. - There are a total of three pairs: (1,2), (2,3), and (1,3). 2. **Possible Configurations:** - No edges: The graph is not connected. - One edge: Only one pair is connected; the graph is disconnected. - Two edges: Two pairs are connected; the graph remains disconnected. - Three edges: All pairs are connected; the graph is fully connected. **Analysis:** - **Connectivity Determination:** Out of all possible configurations, only one (all three edges present) forms a connected graph. - **Probability Calculation:** - Determine the number of configurations that result in a connected graph versus all possible configurations. - Calculate probability as the ratio of connected configurations to total configurations. **Conclusion:** By analyzing these configurations, you can verify if the probability aligns with the theoretical formula for the probability of connectivity for a graph with n=3 nodes. This exercise demonstrates fundamental graph theory concepts and their practical probability implications. --- **Graph Visualization:** - If graphs are provided, each graph would typically show nodes as circles and edges as lines connecting them. - Diagrams would depict various combinations of edges between the three nodes, aiding in visual comprehension of connected versus disconnected states. This exercise is a foundational step in understanding more complex graph connectivity scenarios.
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Follow-up Question

The question ask for "listing all the possibilities of random graphs with three nodes".  The attached document lists the first 3 possibilities.  Can you assist with additional possibilities?

agpouvos yan
connected.
connected
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(2)
0²
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(ج)
Transcribed Image Text:agpouvos yan connected. connected { (2) 0² /٤) (ج)
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