Combine the methods of row reduction and cofactor expansion to compute the determinants in Exercises 11-14. -1 2 3 4 3 12. 11 4 6. 4 2 4 3 21644

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Chapter2: Second-order Linear Odes
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**Exercise for Determinant Calculation Using Row Reduction and Cofactor Expansion**

**Exercise 12:**

You are required to combine the methods of row reduction and cofactor expansion to compute the determinant for the matrix shown below:

\[ \begin{vmatrix}
-1 & 2 & 3 & 0 \\
3 & 4 & 3 & 0 \\
11 & 4 & 6 & 6 \\
4 & 2 & 4 & 3
\end{vmatrix} \]

This exercise challenges you to use both computational techniques, row reduction and cofactor expansion, to find the determinant of the 4x4 matrix provided. 

**Steps to Follow:**
1. **Row Reduction**: Simplify the matrix by performing elementary row operations to transform it into an upper triangular matrix, where all elements below the main diagonal are zero. Keep track of any row swaps or scalar multiplications, as these will affect the determinant.
2. **Cofactor Expansion**: Alternatively, you can compute the determinant by expanding it along a row or column (usually the one with the most zeros to minimize computations).

**Note:** Row reduction can make the matrix easier to handle by reducing the complexity, whereas cofactor expansion allows for more direct calculation once simplifications are made. Both methods should lead to the same result, verifying the correctness of your computation.
Transcribed Image Text:**Exercise for Determinant Calculation Using Row Reduction and Cofactor Expansion** **Exercise 12:** You are required to combine the methods of row reduction and cofactor expansion to compute the determinant for the matrix shown below: \[ \begin{vmatrix} -1 & 2 & 3 & 0 \\ 3 & 4 & 3 & 0 \\ 11 & 4 & 6 & 6 \\ 4 & 2 & 4 & 3 \end{vmatrix} \] This exercise challenges you to use both computational techniques, row reduction and cofactor expansion, to find the determinant of the 4x4 matrix provided. **Steps to Follow:** 1. **Row Reduction**: Simplify the matrix by performing elementary row operations to transform it into an upper triangular matrix, where all elements below the main diagonal are zero. Keep track of any row swaps or scalar multiplications, as these will affect the determinant. 2. **Cofactor Expansion**: Alternatively, you can compute the determinant by expanding it along a row or column (usually the one with the most zeros to minimize computations). **Note:** Row reduction can make the matrix easier to handle by reducing the complexity, whereas cofactor expansion allows for more direct calculation once simplifications are made. Both methods should lead to the same result, verifying the correctness of your computation.
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