If A is a square matrix of order 3 and det A = 5, then what is det [(2A) -1 ] equal to ?
1/40
This problem asks us to find the determinant of the inverse of a scaled matrix, given the determinant of the original matrix and its order. We need to use fundamental properties of determinants to solve this.
Let A be a square matrix of order n. The key properties of determinants that are relevant here are:
In this question, we are given that A is a square matrix of order 3, so $n=3$. We are also given that $det(A) = 5$. We need to find $det[(2A)^{-1}]$.
First, let's find the determinant of the matrix (2A). Using the property $det(kA) = k^n \cdot det(A)$, with $k=2$ and $n=3$, we have:
$$det(2A) = 2^3 \cdot det(A)$$
Substitute the given value of $det(A) = 5$ into the equation:
$$det(2A) = 8 \cdot 5$$
$$det(2A) = 40$$
Now we need to find the determinant of the inverse of the matrix (2A). Let B = 2A. We want to find $det(B^{-1})$. Using the property $det(B^{-1}) = \frac{1}{det(B)}$, we can write:
$$det[(2A)^{-1}] = \frac{1}{det(2A)}$$
Substitute the value $det(2A) = 40$ we calculated:
$$det[(2A)^{-1}] = \frac{1}{40}$$
Thus, the determinant of $(2A)^{-1}$ is $\frac{1}{40}$.
Let's compare this result with the given options:
Our calculated value, $\frac{1}{40}$, matches Option 4.
| Property | Formula (for matrix A of order n) | Explanation |
|---|---|---|
| Determinant of Scalar Multiple | $det(kA) = k^n \cdot det(A)$ | Scaling a matrix by k scales its determinant by $k^n$. |
| Determinant of Inverse | $det(A^{-1}) = \frac{1}{det(A)}$ | The determinant of the inverse is the reciprocal of the original determinant (if det(A) ≠ 0). |
| Determinant of Product | $det(AB) = det(A) \cdot det(B)$ | The determinant of a matrix product is the product of their determinants. |
| Determinant of Transpose | $det(A^T) = det(A)$ | The determinant of the transpose of a matrix is the same as the determinant of the original matrix. |
The determinant is a scalar value that can be computed from the elements of a square matrix. It has several important properties and uses in linear algebra.
Understanding how determinants behave under operations like scalar multiplication and inversion is fundamental to working with matrices.
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