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Determinants Notes

Questions

3–5 questions per paper

Difficulty

Medium

Importance

Core — never skip

Overview

Determinants are scalar values associated with square matrices that encode critical information about linear systems. They are a high-yield topic in board exams, serving as the foundation for solving systems of linear equations and calculating geometric areas. Mastering the properties of determinants is essential to bypass lengthy row-reduction calculations.

Properties of Determinants

Properties allow for the simplification of complex determinants before expansion. Applying row or column operations correctly can turn a large determinant into a triangular form, making evaluation trivial.

  • If any two rows or columns are identical, the determinant is zero.
  • The determinant of a matrix and its transpose are equal: |A| = |A^T|.
  • Multiplying any single row or column by a constant k scales the determinant by k.
  • Adding a scalar multiple of one row to another does not change the determinant value.
  • |AB| = |A||B| for square matrices A and B of the same order.
  • Determinant of a diagonal, upper triangular, or lower triangular matrix is the product of its diagonal elements.

Adjoint and Inverse of a Matrix

The adjoint is defined as the transpose of the cofactor matrix, denoted as adj(A). It is the bridge between a matrix and its inverse, provided the determinant is non-zero.

  • A is invertible if and only if |A| is non-zero (non-singular matrix).
  • A * adj(A) = adj(A) * A = |A|I.
  • A^-1 = (1/|A|) * adj(A).
  • |adj(A)| = |A|^(n-1) where n is the order of the matrix.
  • adj(AB) = adj(B) * adj(A).
  • (A^-1)^-1 = A.

Solving Systems using Cramer's Rule

Cramer's Rule uses determinants to solve systems of linear equations AX = B. It is particularly effective for systems with three variables where traditional substitution becomes cumbersome.

  • x = Dx/D, y = Dy/D, z = Dz/D.
  • D is the determinant of the coefficient matrix.
  • Dx is formed by replacing the first column of the coefficient matrix with the constants matrix B.
  • If D is not zero, the system has a unique solution.
  • If D is zero and at least one of Dx, Dy, or Dz is non-zero, the system is inconsistent.
  • If D = Dx = Dy = Dz = 0, the system may be consistent with infinitely many solutions or inconsistent.

Formula Sheet

|A| = Σ a_ij * C_ij (expansion along row/column)

A * adj(A) = |A|I

A^-1 = adj(A) / |A|

|adj(A)| = |A|^(n-1)

|A^n| = |A|^n

|kA| = k^n * |A|

Area of triangle = 0.5 * |x1(y2-y3) + x2(y3-y1) + x3(y1-y2)|

Exam Tip

Always look for ways to create zeros in at least two positions in a row or column using properties before expanding, as this reduces the risk of arithmetic errors.

Common Mistakes

  • Forgetting to multiply the constant k by every row when factoring out, leading to errors in scalar-matrix multiplication properties.
  • Swapping the order of multiplication for adj(AB), incorrectly writing it as adj(A)adj(B) instead of adj(B)adj(A).
  • Failing to check for the condition |A| = 0 before attempting to calculate the inverse or apply Cramer's rule.

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