Assertion(A): If A is any Matrix given by A = \(\left(\begin{array}{ccc}5 & 0 & 3 \\ −1 & 0 & 2 \\ 1 & 0 & 1\end{array}\right)\) Then det A = 0, since all elements in column II are zero Reason (R): Laplace expansion permits evaluation of a determinant along any row or column
Both A are R are correct, R is the correct explanation of A
Let's analyze the given Assertion and Reason regarding determinants of matrices.
Assertion (A) states that for the matrix \(A = \left(\begin{array}{ccc}5 & 0 & 3 \\ -1 & 0 & 2 \\ 1 & 0 & 1\end{array}\right)\), the determinant det A = 0 because all elements in column II are zero.
To verify this, we can use the property of determinants which states: If a matrix has a column (or a row) consisting entirely of zero elements, then its determinant is zero.
Looking at matrix A:
| Column I | Column II | Column III |
|---|---|---|
| 5 | 0 | 3 |
| -1 | 0 | 2 |
| 1 | 0 | 1 |
We can clearly see that all the elements in the second column (Column II) are 0 (i.e., 0, 0, 0). Based on the determinant property, the determinant of matrix A should be 0. Therefore, Assertion (A) is correct.
Reason (R) states that Laplace expansion permits evaluation of a determinant along any row or column.
Laplace expansion, also known as cofactor expansion, is a method for calculating the determinant of a square matrix. It involves summing the products of the elements of any row or column with their corresponding cofactors. The great advantage of this method is that you can choose *any* row or *any* column to perform the expansion. This is particularly useful when a matrix has a row or column with many zero elements, as it simplifies the calculation.
For a \(3 \times 3\) matrix like A, expanding along column II (the zero column) using Laplace expansion would give:
det A = \(a_{12}C_{12} + a_{22}C_{22} + a_{32}C_{32}\)
Where \(a_{ij}\) are the elements and \(C_{ij}\) are their cofactors.
Since \(a_{12}=0\), \(a_{22}=0\), and \(a_{32}=0\), the expansion becomes:
det A = \(0 \times C_{12} + 0 \times C_{22} + 0 \times C_{32}\) = \(0 + 0 + 0\) = 0
This calculation confirms the property stated in Assertion (A).
Reason (R) correctly describes Laplace expansion and its flexibility. Thus, Reason (R) is correct.
We have established that both Assertion (A) and Reason (R) are correct statements.
Assertion (A) states that the determinant is zero because of a zero column. Reason (R) describes Laplace expansion, a method to calculate determinants by expanding along any row or column.
The property mentioned in Assertion (A) (determinant being zero due to a zero column) can be directly explained and proven using the method described in Reason (R) (Laplace expansion along that specific zero column). Expanding along the zero column using Laplace expansion results in every term being zero, thus proving the determinant is zero.
Therefore, Reason (R) provides a correct explanation for Assertion (A).
Both the Assertion (A) and the Reason (R) are correct statements, and Reason (R) correctly explains why Assertion (A) is true.
| Property | Description |
|---|---|
| Zero Row/Column | If a matrix has a row or column with all elements as zero, its determinant is 0. |
| Transpose | The determinant of a matrix is equal to the determinant of its transpose (\(\det(A) = \det(A^T)\)). |
| Row/Column Swap | Swapping two rows or two columns changes the sign of the determinant. |
| Identical Rows/Columns | If a matrix has two identical rows or columns, its determinant is 0. |
| Scalar Multiplication | If a row or column is multiplied by a scalar k, the determinant is multiplied by k. If the entire \(n \times n\) matrix is multiplied by k, the determinant is multiplied by \(k^n\). |
| Row/Column Operations | Adding a multiple of one row (or column) to another row (or column) does not change the determinant. |
Laplace expansion is a fundamental method for calculating determinants, especially useful for smaller matrices or matrices with many zeros.
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