Build the idea
Matrices and determinants are a dependable NDA scoring area. Questions usually test order and multiplication, determinant properties, inverse matrices, or a short system of linear equations. Work symbolically first: expanding a determinant too early often creates avoidable arithmetic.
Concept
A matrix is a rectangular array of numbers; a determinant is a scalar associated with a square matrix. Matrices are used to represent and solve systems of linear equations (Cramer's rule, matrix-inverse method).
Matrix multiplication is not commutative (AB ≠ BA in general).
Key Points & Formulas
- Determinant of [[a,b],[c,d]] = ad − bc.
- Triangular/diagonal matrix: determinant = product of diagonal entries.
- A is singular (no inverse) ⇔ det A = 0.
- Inverse: A⁻¹ = adj(A)/det(A); product order: (m×n)(n×p) → m×p.
Worked Example
Q. For what value of k is the matrix [[k, 3], [2, 4]] singular?
Singular ⇒ determinant = 0.
det = 4k − 6 = 0 ⇒ k = 6/4 = 3/2.
