In Exercises 11-12, use the inversion algorithm to find the inverse of the matrix (if the inverse exists). 1 2 3 2 5 3 1 08. 11. a. b. -1 2 -4 3 -4 4 1 2 -9

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Chapter2: Second-order Linear Odes
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### Matrix Inversion Exercises

#### Instructions:
In Exercises **11–12**, use the inversion algorithm to find the inverse of the matrix (if the inverse exists).

#### Exercise 11

**a.** Find the inverse of the following matrix:
\[
\begin{pmatrix}
1 & 2 & 3 \\
2 & 5 & 3 \\
1 & 0 & 8
\end{pmatrix}
\]

**b.** Find the inverse of the following matrix:
\[
\begin{pmatrix}
-1 & 3 & -4 \\
2 & 4 & 1 \\
-4 & 2 & -9
\end{pmatrix}
\]

### Steps to Calculate the Inverse of a Matrix (If it Exists):

1. **Form the augmented matrix:** Combine the given matrix with the identity matrix of the same dimension.
2. **Row reduce the augmented matrix:** Use row operations to transform the left part of the augmented matrix (the given matrix) into the identity matrix.
3. **Result:** The right part of the augmented matrix will be the inverse of the original matrix if the transformations are possible.

Remember, a matrix must be square (same number of rows and columns) and have a non-zero determinant to have an inverse.
Transcribed Image Text:### Matrix Inversion Exercises #### Instructions: In Exercises **11–12**, use the inversion algorithm to find the inverse of the matrix (if the inverse exists). #### Exercise 11 **a.** Find the inverse of the following matrix: \[ \begin{pmatrix} 1 & 2 & 3 \\ 2 & 5 & 3 \\ 1 & 0 & 8 \end{pmatrix} \] **b.** Find the inverse of the following matrix: \[ \begin{pmatrix} -1 & 3 & -4 \\ 2 & 4 & 1 \\ -4 & 2 & -9 \end{pmatrix} \] ### Steps to Calculate the Inverse of a Matrix (If it Exists): 1. **Form the augmented matrix:** Combine the given matrix with the identity matrix of the same dimension. 2. **Row reduce the augmented matrix:** Use row operations to transform the left part of the augmented matrix (the given matrix) into the identity matrix. 3. **Result:** The right part of the augmented matrix will be the inverse of the original matrix if the transformations are possible. Remember, a matrix must be square (same number of rows and columns) and have a non-zero determinant to have an inverse.
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