The determinant of a matrix is a scalar value computed for a given square matrix. Let’s explore this mathematical concept:
Definition of Determinant of Matrix:
- The determinant of a matrix is calculated using the elements of a square matrix.
- It can be considered as the scaling factor for the transformation of a matrix.
- Geometrically, the determinant represents the volume scaling factor of the linear transformation defined by the matrix.
- It is also expressed as the volume of the n-dimensional parallelepiped crossed by the column or row vectors of the matrix.
- The determinant is positive or negative based on whether the linear mapping preserves or changes the orientation of n-space.
Calculating the Determinant:
- The determinant is defined only for square matrices (where the number of columns and rows are equal).
- For a 2×2 matrix, the determinant can be represented as: [ \Delta = \begin{vmatrix} a_{11} & a_{12} \ a_{21} & a_{22} \end{vmatrix} ] The value of the determinant is given by: [ \text{det}(A) = a_{11} \cdot a_{22} - a_{21} \cdot a_{12} ]
- For larger matrices (e.g., 3×3, 4×4, or n×n), there are techniques to find the determinant.
Usefulness of Determinants:
- Determinants are useful in various mathematical applications:
- Solving systems of linear equations.
- Calculating the inverse of a matrix.
- Performing calculus operations.
For 2x2 Matrix
Solution: To find the determinant of [A], let us expand the determinant along row 1.
Therefore, det A =
⇒ |A| = 4 (0 – 15) + 3(2+3) + 5(5-0) ⇒ |A| = -20
Example 1
Find the determinant of the matrix
example 3x3
Tags:
B.A Economic