Problem 7
Question
In Problems 5-8, suppose $$ \mathbf{A}=\left(\begin{array}{rrrr} 0 & 2 & 4 & 0 \\ 1 & 2 & -2 & 3 \\ 5 & 1 & 0 & -1 \\ 1 & 1 & 1 & 2 \end{array}\right) $$ \text { Evaluate the indicated minor determinant or cofactor. } $$ C_{34} $$
Step-by-Step Solution
Verified Answer
The cofactor \( C_{34} \) is 10.
1Step 1: Identify the Cofactor
The cofactor, denoted as \( C_{34} \), refers to the cofactor of the element in the 3rd row, 4th column of the matrix \( \mathbf{A} \). To find \( C_{34} \), we need to calculate the minor, \( M_{34} \), and apply the cofactor formula.
2Step 2: Determine the Minor Matrix
To find \( M_{34} \), remove the 3rd row and 4th column from the matrix \( \mathbf{A} \). The resulting 3x3 matrix is: \[\begin{bmatrix}0 & 2 & 4 \1 & 2 & -2 \1 & 1 & 1 \ \end{bmatrix}\]
3Step 3: Calculate the Minor Determinant
Calculate the determinant of the 3x3 matrix: \(\begin{vmatrix}0 & 2 & 4 \1 & 2 & -2 \1 & 1 & 1 \end{vmatrix}\)Use the formula for the determinant of a 3x3 matrix:\[= 0 \cdot \begin{vmatrix}2 & -2 \ 1 & 1 \end{vmatrix} - 2 \cdot \begin{vmatrix}1 & -2 \ 1 & 1 \end{vmatrix} + 4 \cdot \begin{vmatrix}1 & 2 \ 1 & 1 \end{vmatrix}\]
4Step 4: Solve for the Determinants of 2x2 Submatrices
Find each 2x2 submatrix determinant:1. \( \begin{vmatrix}2 & -2 \ 1 & 1 \end{vmatrix} = (2)(1) - (-2)(1) = 2 + 2 = 4 \) 2. \( \begin{vmatrix}1 & -2 \ 1 & 1 \end{vmatrix} = (1)(1) - (-2)(1) = 1 + 2 = 3 \) 3. \( \begin{vmatrix}1 & 2 \ 1 & 1 \end{vmatrix} = (1)(1) - (2)(1) = 1 - 2 = -1 \)
5Step 5: Substitute and Simplify
Substitute the 2x2 determinant results into the 3x3 determinant equation:\[0 \cdot 4 - 2 \cdot 3 + 4 \cdot (-1) = 0 - 6 - 4 = -10\]
6Step 6: Calculate the Cofactor
Apply the cofactor formula: \( C_{34} = (-1)^{3+4} \cdot M_{34} = (-1)^7 \cdot (-10) = -(-10) = 10 \)
Key Concepts
Matrix DeterminantMinor Matrix3x3 Matrix2x2 Matrix Determinant
Matrix Determinant
A determinant is a special number that can be calculated from a square matrix. It provides insights into the properties of the matrix, such as whether it's invertible. In simple terms, the determinant of a matrix is a scalar value obtained from its elements and can indicate if the matrix represents a singular (non-invertible) transformation or not.
To compute a determinant, different formulas are used based on the matrix's size.
- For a 2x2 matrix, there's a straightforward formula.
- For a 3x3 or larger matrix, the process involves finding minors and using cofactor expansion.
Minor Matrix
When working with matrices, especially in calculating determinants, the concept of a minor is essential. A minor of a matrix is the determinant of a smaller submatrix that remains after removing one row and one column.
For example, to find a minor for a specific element in a matrix, you remove the row and column where that element resides. This results in a smaller matrix, whose determinant gives you the minor.
Finding minors is a crucial step in cofactor expansion. Each element's minor is often combined with the cofactor sign factor to contribute to the full determinant calculation of a larger matrix.
3x3 Matrix
A 3x3 matrix is a square matrix with three rows and three columns. Calculating its determinant involves a more complex process than a 2x2 matrix, primarily using cofactor expansion. Here's a refresher on cofactor expansion for a 3x3 matrix:
- Select a row or column to expand across. Often, choosing the row or column with the most zeros simplifies calculations.
- For each element in the selected row/column, multiply the element by its minor's determinant and the cofactor, given by \((-1)^{i+j}\), where \(i\) and \(j\) are the row and column indices of the element.
- Sum the results to obtain the determinant of the 3x3 matrix.
2x2 Matrix Determinant
Calculating the determinant of a 2x2 matrix is foundational for understanding larger matrices' determinants. The determinant of a 2x2 matrix, with elements \(\begin{pmatrix}a & b \ c & d \end{pmatrix}\), is computed as:
- \(ad - bc\)
Other exercises in this chapter
Problem 7
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