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 A are given below. 010 0 0 0 0100 100 0 0 A 100 10 101 1000 0 0100 0 0 0100 01101 A 1 1010 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?

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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**Part 2.** A directed graph \( G \) has 5 vertices, numbered 1 through 5. The \( 5 \times 5 \) matrix \( A \) is the adjacency matrix for \( G \). The matrices \( A^2 \) and \( A^3 \) are given below.

\[ A^2 = \begin{pmatrix} 
0 & 1 & 0 & 0 & 0 \\ 
1 & 0 & 1 & 0 & 0 \\ 
0 & 1 & 0 & 1 & 0 \\ 
0 & 0 & 1 & 0 & 1 \\ 
0 & 0 & 0 & 1 & 0 
\end{pmatrix} \]

\[ A^3 = \begin{pmatrix} 
1 & 0 & 1 & 0 & 0 \\ 
0 & 1 & 0 & 1 & 0 \\ 
1 & 0 & 1 & 0 & 1 \\ 
0 & 1 & 0 & 1 & 0 \\ 
0 & 0 & 1 & 0 & 1 
\end{pmatrix} \]

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: \( A^4 = A^2 \cdot A^2 \).)
Transcribed Image Text:**Part 2.** A directed graph \( G \) has 5 vertices, numbered 1 through 5. The \( 5 \times 5 \) matrix \( A \) is the adjacency matrix for \( G \). The matrices \( A^2 \) and \( A^3 \) are given below. \[ A^2 = \begin{pmatrix} 0 & 1 & 0 & 0 & 0 \\ 1 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & 1 & 0 \\ 0 & 0 & 1 & 0 & 1 \\ 0 & 0 & 0 & 1 & 0 \end{pmatrix} \] \[ A^3 = \begin{pmatrix} 1 & 0 & 1 & 0 & 0 \\ 0 & 1 & 0 & 1 & 0 \\ 1 & 0 & 1 & 0 & 1 \\ 0 & 1 & 0 & 1 & 0 \\ 0 & 0 & 1 & 0 & 1 \end{pmatrix} \] 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: \( A^4 = A^2 \cdot A^2 \).)
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