Chapter 9: Problem 22
Find the determinant of the matrix. Determine whether the matrix has an inverse, but don't calculate the inverse. $$\left[\begin{array}{rrrr} 1 & 2 & 0 & 2 \\ 3 & -4 & 0 & 4 \\ 0 & 1 & 6 & 0 \\ 1 & 0 & 2 & 0 \end{array}\right]$$
Short Answer
Expert verified
The determinant is 56; thus, the matrix has an inverse.
Step by step solution
01
Identify the Matrix
We are given a 4x4 matrix: \[\begin{bmatrix}1 & 2 & 0 & 2 \3 & -4 & 0 & 4 \0 & 1 & 6 & 0 \1 & 0 & 2 & 0 \\end{bmatrix}\]We need to find the determinant of this matrix.
02
Choose a Row or Column
For calculating the determinant of a 4x4 matrix, choose a row or column to expand along. Here, we'll choose the first row for simplification.
03
Expand Along the First Row
Using the first row to expand the determinant, we have:\[det(A) = 1 \cdot \begin{vmatrix} -4 & 0 & 4 \ 1 & 6 & 0 \ 0 & 2 & 0 \end{vmatrix} - 2 \cdot \begin{vmatrix} 3 & 0 & 4 \ 0 & 6 & 0 \ 1 & 2 & 0 \end{vmatrix} + 0 \cdot \begin{vmatrix} 3 & -4 & 4 \ 0 & 1 & 0 \ 1 & 0 & 0 \end{vmatrix} - 2 \cdot \begin{vmatrix} 3 & -4 & 0 \ 0 & 1 & 6 \ 1 & 0 & 2 \end{vmatrix}\]The terms involving multiplication by zero can be ignored.
04
Calculate Each 3x3 Minor
Focus on the two non-zero minors:1. The first 3x3 minor for coefficient 1:\[\begin{vmatrix} -4 & 0 & 4 \ 1 & 6 & 0 \ 0 & 2 & 0 \end{vmatrix}\]Expand this minor along the first column:\[-4 \cdot (6 \cdot 0 - 0 \cdot 2) - 0 \cdot (1 \cdot 0 - 0 \cdot 2) + 4 \cdot (1 \cdot 2 - 6 \cdot 0)\]Resulting in:\[-4 \cdot 0 + 0 \cdot 0 + 4 \cdot 2 = 8\]2. The second 3x3 minor for coefficient -2:\[\begin{vmatrix} 3 & 0 & 4 \ 0 & 6 & 0 \ 1 & 2 & 0 \end{vmatrix}\]Expand this minor along the first column:\[3 \cdot (6 \cdot 0 - 0 \cdot 2) - 0 \cdot (0 \cdot 0 - 1 \cdot 2) + 4 \cdot (0 \cdot 2 - 6 \cdot 1)\]Resulting in:\[0 + 0 - 4 \cdot 6 = -24\]
05
Calculate the Determinant
Combine the results from the two non-zero minors:\[det(A) = 1 \cdot 8 - 2 \cdot (-24) = 8 + 48 = 56\]
06
Check if the Matrix is Invertible
Since the determinant of the matrix is not zero (\(det(A) = 56\)), the matrix is invertible.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Matrix Inverse
Understanding whether a matrix has an inverse depends on its determinant. For a given matrix, if its determinant is non-zero, we can conclude that the matrix has an inverse.
In simpler terms, the ability to "reverse" or "invert" a matrix is linked to the determinant value.
No need to calculate the inverse yet; identifying the determinant being non-zero is sufficient for confirming the existence of an inverse.
In simpler terms, the ability to "reverse" or "invert" a matrix is linked to the determinant value.
- If the determinant is zero, the matrix is singular and does not have an inverse.
- If the determinant is non-zero, the matrix is invertible.
No need to calculate the inverse yet; identifying the determinant being non-zero is sufficient for confirming the existence of an inverse.
Matrix Determinant Calculation
The determinant of a matrix is a special number linked to a square matrix. It provides valuable information about the matrix, including whether it is invertible.
To calculate the determinant of a 4x4 matrix, you can use the process called cofactor expansion. This involves choosing any row or column, and using it to expand the determinant.
Let's summarize the steps involved:
To calculate the determinant of a 4x4 matrix, you can use the process called cofactor expansion. This involves choosing any row or column, and using it to expand the determinant.
Let's summarize the steps involved:
- Choose a row or column to simplify the calculation process.
- Expand the determinant along the chosen row or column, developing smaller 3x3 matrices called minors.
- Calculate the determinant for each of these 3x3 matrices.
- Combine these determinants based on the original expansion formula to find the final determinant of the 4x4 matrix.
Cofactor Expansion
Cofactor expansion, also known as Laplace expansion, is a technique used to calculate the determinant of larger matrices. It systematically breaks down a matrix into smaller, more manageable pieces.
Choosing a row or column is the first step. The key is to select a row or column that simplifies calculations the most. In our example, expanding using the first row was strategic because it contained zeros, reducing the number of calculations.
The formula for a 4x4 determinant expansion with the first row is:
Choosing a row or column is the first step. The key is to select a row or column that simplifies calculations the most. In our example, expanding using the first row was strategic because it contained zeros, reducing the number of calculations.
The formula for a 4x4 determinant expansion with the first row is:
- For a given matrix \(A\), the determinant can be expanded as:
\(det(A) = a_{11} \cdot C_{11} - a_{12} \cdot C_{12} + a_{13} \cdot C_{13} - a_{14} \cdot C_{14}\) - Here \(a_{ij}\) are the elements of the selected row, and \(C_{ij}\) are their corresponding cofactors.
- Cofactors involve computing the determinant of the minor, resulting from eliminating the row and column of the current element.
- Cofactors switch signs systematically based on their position.