Let Δ be the determinant of a matrix A, where A = \(\left(\begin{array}{lll}\text{a}_{11} & \text{a}_{12} & \text{a}_{13} \\ \text{a}_{21} & \text{a}_{22} & \text{a}_{23} \\ \text{a}_{31} & \text{a}_{32} & \text{a}_{33}\end{array}\right)\) and C 11 , C 12 , C 13 be the cofactors of a 11 , a 12 , a 13 respectively.
What is the value of \(\left|\begin{array}{lll}\text{a}_{21} & \text{a}_{31} & \text{a}_{11} \\ \text{a}_{23} & \text{a}_{33} & \text{a}_{13} \\ \text{a}_{22} & \text{a}_{32} & \text{a}_{12}\end{array}\right|\) ?
−Δ
The question asks us to find the determinant of a specific matrix, which is derived from an original matrix A by rearranging its elements. We are given the original matrix A and its determinant, denoted by Δ. The new matrix has its elements \(a_{ij}\) from the original matrix A arranged in a different order.
The original matrix A is:
| \(a_{11}\) | \(a_{12}\) | \(a_{13}\) |
| \(a_{21}\) | \(a_{22}\) | \(a_{23}\) |
| \(a_{31}\) | \(a_{32}\) | \(a_{33}\) |
The determinant of matrix A is given as \(\det(A) = \Delta\).
The new matrix, let's call it B, is:
| \(a_{21}\) | \(a_{31}\) | \(a_{11}\) |
| \(a_{23}\) | \(a_{33}\) | \(a_{13}\) |
| \(a_{22}\) | \(a_{32}\) | \(a_{12}\) |
We need to find the value of \(\det(B)\) in terms of \(\Delta\).
To solve this, we can use the properties of determinants related to matrix operations:
Let's see how matrix B can be obtained from matrix A using a series of transformations. It's often helpful to consider the transpose of A.
The transpose of A, denoted by \(A^T\), is obtained by swapping rows and columns of A:
| \(a_{11}\) | \(a_{21}\) | \(a_{31}\) |
| \(a_{12}\) | \(a_{22}\) | \(a_{32}\) |
| \(a_{13}\) | \(a_{23}\) | \(a_{33}\) |
We know that \(\det(A^T) = \det(A) = \Delta\).
Now let's see if we can obtain matrix B from \(A^T\) by performing column and/or row operations. Let the columns of \(A^T\) be \(C^T_1, C^T_2, C^T_3\). So, \(A^T = [C^T_1 \ C^T_2 \ C^T_3]\).
Let's look at the columns of matrix B:
Let's try permuting the columns of \(A^T\). Consider the matrix formed by columns \(C^T_2, C^T_3, C^T_1\):
| \(a_{21}\) | \(a_{31}\) | \(a_{11}\) |
| \(a_{22}\) | \(a_{32}\) | \(a_{12}\) |
| \(a_{23}\) | \(a_{33}\) | \(a_{13}\) |
Let's call this matrix N. Matrix N is obtained from \(A^T = [C^T_1 \ C^T_2 \ C^T_3]\) by rearranging the columns in the order \(C^T_2, C^T_3, C^T_1\). The permutation of columns is (2, 3, 1) from the original order (1, 2, 3).
To get from (1, 2, 3) to (2, 3, 1), we can perform column swaps:
So, the determinant of matrix N is \(\det(N) = \Delta\).
Now let's compare matrix N with matrix B:
Matrix N:
| \(a_{21}\) | \(a_{31}\) | \(a_{11}\) |
| \(a_{22}\) | \(a_{32}\) | \(a_{12}\) |
| \(a_{23}\) | \(a_{33}\) | \(a_{13}\) |
Matrix B:
| \(a_{21}\) | \(a_{31}\) | \(a_{11}\) |
| \(a_{23}\) | \(a_{33}\) | \(a_{13}\) |
| \(a_{22}\) | \(a_{32}\) | \(a_{12}\) |
We can see that matrix B is obtained from matrix N by swapping its second and third rows. Let \(R_1^N, R_2^N, R_3^N\) be the rows of N. Then the rows of B are \(R_1^N, R_3^N, R_2^N\). A single row swap changes the sign of the determinant.
Therefore, \(\det(B) = -\det(N)\).
Since \(\det(N) = \Delta\), we have \(\det(B) = -\Delta\).
We started with matrix A, \(\det(A) = \Delta\).
Combining these steps:
\(\det(B) = - \det(N) = - (\det(A^T)) = - (\det(A)) = -\Delta\).
The value of the determinant of the given matrix is \(-\Delta\).
| Original Matrix Determinant | Δ |
| Transformation | Transpose (\(A^T\)) |
| Determinant of Transpose | Δ |
| Transformation | Column Permutation (2,3,1) on \(A^T\) (2 swaps) |
| Determinant after Column Swaps (Matrix N) | Δ |
| Transformation | Row Swap (R2 <-> R3) on N |
| Determinant of Final Matrix (Matrix B) | \(-\Delta\) |
| Operation on Matrix | Effect on Determinant (\(\det(A)\)) |
|---|---|
| Transpose (\(A^T\)) | \(\det(A^T) = \det(A)\) |
| Swap two rows/columns | Sign changes (\(-\det(A)\)) |
| Multiply a row/column by scalar \(k\) | Multiplies determinant by \(k\) (\(k \cdot \det(A)\)) |
| Add a multiple of one row/column to another | No change (\(\det(A)\)) |
The question mentions cofactors \(C_{11}, C_{12}, C_{13}\). The determinant of a matrix A can be calculated by expanding along any row or column using cofactors. For the first row of matrix A:
\(\det(A) = a_{11}C_{11} + a_{12}C_{12} + a_{13}C_{13}\)
where \(C_{ij} = (-1)^{i+j} M_{ij}\), and \(M_{ij}\) is the determinant of the submatrix obtained by deleting the \(i\)-th row and \(j\)-th column of A.
While this formula defines how \(\Delta\) is calculated, the cofactors themselves were not needed to solve this particular problem about the determinant of the permuted matrix. The solution relied purely on how row and column operations affect the determinant value.
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3x - 2y + 2z = 5 and
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x + 2y + 3z = 1
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2x + y - 3z = 5
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