Give step-by-step solution with explanation and final answer:fri PP h —20 —36]". nis a positive integer, chen | © "| is © . N . [20 36 . . (Hint: Diagonalize the matrix [ na ] first. Note tha your answer will be a formula that involves n. Be careful with parentheses.)
Question:
Give step-by-step solution with explanation and final answer:
fri PP h —20 —36]".
nis a positive integer, chen | © "| is
© . N . [20 36 . .
(Hint: Diagonalize the matrix [ na ] first. Note tha your answer will be a formula that involves
n. Be careful with parentheses.)
This is AI generated Response.
Asked by: Venkatesh
Created at: 2025-09-17 12:24:37
Asked by: Venkatesh
Created at: 2025-09-17 12:24:37
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Let's solve the problem **step by step**.
### **Step 1: Write the Matrix**
Let
\[
A = \begin{bmatrix}
-20 & -36 \\
4 & 20
\end{bmatrix}
\]
We are asked to find \( A^n \) for positive integer \( n \) by **diagonalizing** \( A \).
---
### **Step 2: Find Eigenvalues of A**
The characteristic polynomial is:
\[
\det(A - \lambda I) = 0
\]
So,
\[
\begin{vmatrix}
-20 - \lambda & -36 \\
4 & 20 - \lambda
\end{vmatrix} = 0
\]
\[
(-20 - \lambda)(20 - \lambda) - (4)(-36) = 0
\]
\[
(-20 - \lambda)(20 - \lambda) + 144 = 0
\]
Let's expand \((-20 - \lambda)(20 - \lambda)\):
\[
= (-20)(20 - \lambda) - \lambda(20 - \lambda)
\]
\[
= -400 + 20\lambda - 20\lambda + \lambda^2
\]
\[
= -400 + \lambda^2
\]
So,
\[
-400 + \lambda^2 + 144 = 0
\]
\[
\lambda^2 - 256 = 0
\]
\[
\lambda^2 = 256
\]
\[
\lambda = 16, \quad \lambda = -16
\]
---
### **Step 3: Find Eigenvectors**
#### For \(\lambda_1 = 16\):
\(A - 16I\):
\[
\begin{bmatrix}
-20 - 16 & -36 \\
4 & 20 - 16
\end{bmatrix}
=
\begin{bmatrix}
-36 & -36 \\
4 & 4
\end{bmatrix}
\]
Let eigenvector be \(\vec{v}_1 = \begin{bmatrix} x \\ y \end{bmatrix}\):
\[
\begin{cases}
-36x - 36y = 0 \\
4x + 4y = 0
\end{cases}
\implies x + y = 0
\implies y = -x
\]
So, eigenvector: \(\vec{v}_1 = \begin{bmatrix} 1 \\ -1 \end{bmatrix}\)
---
#### For \(\lambda_2 = -16\):
\(A + 16I\):
\[
\begin{bmatrix}
-20 + 16 & -36 \\
4 & 20 + 16
\end{bmatrix}
=
\begin{bmatrix}
-4 & -36 \\
4 & 36
\end{bmatrix}
\]
Let eigenvector be \(\vec{v}_2 = \begin{bmatrix} x \\ y \end{bmatrix}\):
\[
\begin{cases}
-4x - 36y = 0 \\
4x + 36y = 0
\end{cases}
\implies x + 9y = 0
\implies y = -\frac{1}{9}x
\]
So, eigenvector: \(\vec{v}_2 = \begin{bmatrix} 1 \\ -\frac{1}{9} \end{bmatrix}\)
---
### **Step 4: Diagonalize \(A\)**
Let
\[
P = \begin{bmatrix} 1 & 1 \\ -1 & -\frac{1}{9} \end{bmatrix}, \quad D = \begin{bmatrix} 16 & 0 \\ 0 & -16 \end{bmatrix}
\]
Then
\[
A = P D P^{-1}
\]
So,
\[
A^n = P D^n P^{-1}
\]
where
\[
D^n = \begin{bmatrix} 16^n & 0 \\ 0 & (-16)^n \end{bmatrix}
\]
---
### **Step 5: Compute \(P^{-1}\)**
First, find \(\det P\):
\[
\det P = (1) \left(-\frac{1}{9}\right) - (1)(-1) = -\frac{1}{9} + 1 = \frac{8}{9}
\]
So,
\[
P^{-1} = \frac{1}{\det P}
\begin{bmatrix}
-\frac{1}{9} & -1 \\
1 & 1
\end{bmatrix}
=
\frac{9}{8}
\begin{bmatrix}
-\frac{1}{9} & -1 \\
1 & 1
\end{bmatrix}
=
\begin{bmatrix}
-\frac{1}{8} & -\frac{9}{8} \\
\frac{9}{8} & \frac{9}{8}
\end{bmatrix}
\]
---
### **Step 6: Write the Final Formula**
\[
A^n = P D^n P^{-1}
\]
Plug in the matrices:
\[
A^n =
\begin{bmatrix}
1 & 1 \\
-1 & -\frac{1}{9}
\end{bmatrix}
\begin{bmatrix}
16^n & 0 \\
0 & (-16)^n
\end{bmatrix}
\begin{bmatrix}
-\frac{1}{8} & -\frac{9}{8} \\
\frac{9}{8} & \frac{9}{8}
\end{bmatrix}
\]
---
## **Final Answer (in boxed form):**
\[
\boxed{
\begin{bmatrix}
-20 & -36 \\
4 & 20
\end{bmatrix}^n
=
\begin{bmatrix}
1 & 1 \\
-1 & -\frac{1}{9}
\end{bmatrix}
\begin{bmatrix}
16^n & 0 \\
0 & (-16)^n
\end{bmatrix}
\begin{bmatrix}
-\frac{1}{8} & -\frac{9}{8} \\
\frac{9}{8} & \frac{9}{8}
\end{bmatrix}
}
\]
This formula provides \(A^n\) for any positive integer \(n\).
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