Part 2. A directed graph G has 5 vertices, numbered 1 through 5. The 5 x 5 matrix A is the adjacency matrix for G. The matrices A? and A3 are given below. 1 0 0 10 00 ***00 42 00 0 0I ***I 10 1 0. %3D 10 0 0 I 00 0 10 Use the information given to answer the questions about the graph G. 3. (a) Which vertices can reach vertex 2 by a walk of length 3? 0110 1 10 **0 0 (b) Is there a walk of length 4 from vertex 4 to vertex 5 in G? (Hint: A = A?. A2.)
Part 2. A directed graph G has 5 vertices, numbered 1 through 5. The 5 x 5 matrix A is the adjacency matrix for G. The matrices A? and A3 are given below. 1 0 0 10 00 ***00 42 00 0 0I ***I 10 1 0. %3D 10 0 0 I 00 0 10 Use the information given to answer the questions about the graph G. 3. (a) Which vertices can reach vertex 2 by a walk of length 3? 0110 1 10 **0 0 (b) Is there a walk of length 4 from vertex 4 to vertex 5 in G? (Hint: A = A?. A2.)
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Im having difficulties with part 2 of this page. I'm not sure if the graph from the top half is used in the part 2 so I'm including it. Also please type your answer, I've had issues reading handwriting before. Thank you.
![**Part 1: Give the adjacency matrix for the graph G as pictured below.**
**Figure 2:** A graph shows 6 vertices and 9 edges. The vertices are 1, 2, 3, 4, 5, and 6, represented by circles. The edges between the vertices are represented by arrows as follows: 1 to 3; 3 to 2; 2 to 1; 1 to 6; 6 to 2; 3 to 4; 4 to 5; 5 to 6; and a self-loop on vertex 5.
**Part 2:** A directed graph G has 5 vertices, numbered 1 through 5. The matrix A is the adjacency matrix for G. The matrices \( A^2 \) and \( A^3 \) are given below.
\[
A =
\begin{bmatrix}
0 & 1 & 0 & 0 & 0 \\
0 & 0 & 1 & 0 & 0 \\
1 & 0 & 0 & 1 & 0 \\
0 & 0 & 0 & 0 & 1 \\
1 & 0 & 1 & 0 & 1
\end{bmatrix}
\]
\[
A^3 =
\begin{bmatrix}
1 & 0 & 0 & 1 & 0 \\
0 & 0 & 0 & 0 & 1 \\
2 & 0 & 1 & 0 & 2 \\
1 & 0 & 1 & 0 & 1 \\
2 & 0 & 1 & 0 & 2
\end{bmatrix}
\]
Use the information given to answer the questions about the graph G:
(a) Which vertices can reach vertex 2 by a walk of length 3?
(b) Is there a walk of length 4 from vertex 4 to vertex 5 in \( G \)? (Hint: \( A^4 = A^3 \times A \)).
This exercise helps students understand the relationship between a graph's adjacency matrix and walks of certain lengths within the graph. The matrices \( A^2 \) and \( A^3 \) show the paths of lengths 2 and 3, respectively.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6d163899-e95e-4286-aac1-37fadf592122%2Fdf73eb78-e10f-4d60-9ec1-6e9f8ef18d3b%2Filppm18_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Part 1: Give the adjacency matrix for the graph G as pictured below.**
**Figure 2:** A graph shows 6 vertices and 9 edges. The vertices are 1, 2, 3, 4, 5, and 6, represented by circles. The edges between the vertices are represented by arrows as follows: 1 to 3; 3 to 2; 2 to 1; 1 to 6; 6 to 2; 3 to 4; 4 to 5; 5 to 6; and a self-loop on vertex 5.
**Part 2:** A directed graph G has 5 vertices, numbered 1 through 5. The matrix A is the adjacency matrix for G. The matrices \( A^2 \) and \( A^3 \) are given below.
\[
A =
\begin{bmatrix}
0 & 1 & 0 & 0 & 0 \\
0 & 0 & 1 & 0 & 0 \\
1 & 0 & 0 & 1 & 0 \\
0 & 0 & 0 & 0 & 1 \\
1 & 0 & 1 & 0 & 1
\end{bmatrix}
\]
\[
A^3 =
\begin{bmatrix}
1 & 0 & 0 & 1 & 0 \\
0 & 0 & 0 & 0 & 1 \\
2 & 0 & 1 & 0 & 2 \\
1 & 0 & 1 & 0 & 1 \\
2 & 0 & 1 & 0 & 2
\end{bmatrix}
\]
Use the information given to answer the questions about the graph G:
(a) Which vertices can reach vertex 2 by a walk of length 3?
(b) Is there a walk of length 4 from vertex 4 to vertex 5 in \( G \)? (Hint: \( A^4 = A^3 \times A \)).
This exercise helps students understand the relationship between a graph's adjacency matrix and walks of certain lengths within the graph. The matrices \( A^2 \) and \( A^3 \) show the paths of lengths 2 and 3, respectively.
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