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Class 12 · Chapter 4 · Algebra unit (10 of 80 marks)

Determinants Class 12: notes and important questions

Revision notes, 40 board-style questions with the step marks shown, and a four-step route from the basics to 95+, each step ending in a short checkpoint.

  • 40 questions
  • 12 multiple choice, 3 assertion–reason, 9 very short answer, 8 short answer, 5 long answer, 3 case study
  • About 8 hours to master

Unit II Algebra (Matrices + Determinants): 10 marks of the 80-mark paper — CBSE Curriculum 2025-26 Mathematics (041), https://cbseacademic.nic.in/web_material/CurriculumMain26/SrSec/Maths_SrSec_2025-26.pdf.

Revision notes

Determinants — revision notes

1. Evaluating determinants

  • \(\begin{vmatrix}a&b\\c&d\end{vmatrix} = ad - bc\).
  • Order 3: expand along any row or column, \(\Delta = \sum a_{ij}A_{ij}\), where the cofactor \(A_{ij} = (-1)^{i+j}M_{ij}\) and the minor \(M_{ij}\) is the determinant left after deleting row \(i\) and column \(j\). Choose the row/column with most zeros.
  • Elements of one row times the cofactors of a different row always sum to \(0\).

2. Area of a triangle and collinearity

  • Area \(= \dfrac12\left|\begin{vmatrix}x_1&y_1&1\\x_2&y_2&1\\x_3&y_3&1\end{vmatrix}\right|\). The determinant can be negative — take the modulus; if an area is given, use \(\pm\) and keep both cases.
  • Three points are collinear iff this determinant is \(0\). Line through \((x_1, y_1), (x_2, y_2)\): \(\begin{vmatrix}x&y&1\\x_1&y_1&1\\x_2&y_2&1\end{vmatrix} = 0\).

3. Adjoint and inverse

  • \(\mathrm{adj}\,A\) = transpose of the matrix of cofactors. For order 2, \(\mathrm{adj}\begin{bmatrix}a&b\\c&d\end{bmatrix} = \begin{bmatrix}d&-b\\-c&a\end{bmatrix}\).
  • \(A(\mathrm{adj}\,A) = (\mathrm{adj}\,A)A = |A|I\); \(A^{-1} = \dfrac{1}{|A|}\mathrm{adj}\,A\) exists iff \(|A| \ne 0\) (non-singular).
  • For order \(n\): \(|kA| = k^n|A|\), \(|AB| = |A||B|\), \(|A^T| = |A|\), \(|A^{-1}| = \dfrac{1}{|A|}\), \(|\mathrm{adj}\,A| = |A|^{n-1}\), \((AB)^{-1} = B^{-1}A^{-1}\), \((A^T)^{-1} = (A^{-1})^T\).

4. Linear systems \(AX = B\)

  • \(|A| \ne 0\): unique solution \(X = A^{-1}B\) (consistent).
  • \(|A| = 0\): find \((\mathrm{adj}\,A)B\). If it is \(\ne O\), no solution (inconsistent). If it is \(= O\), the system has either infinitely many solutions or none — check the equations directly.

Worked example 1

Area of the triangle with vertices \((0, 0)\), \((4, 1)\), \((1, 3)\): \(\dfrac12\begin{vmatrix}0&0&1\\4&1&1\\1&3&1\end{vmatrix} = \dfrac12(12 - 1) = \dfrac{11}{2}\) sq units.

Worked example 2

\(A = \begin{bmatrix}1&2\\3&5\end{bmatrix}\): \(|A| = -1\), \(A^{-1} = -\begin{bmatrix}5&-2\\-3&1\end{bmatrix} = \begin{bmatrix}-5&2\\3&-1\end{bmatrix}\). So \(x + 2y = 4,\ 3x + 5y = 11\) gives \(X = A^{-1}\begin{bmatrix}4\\11\end{bmatrix} = \begin{bmatrix}2\\1\end{bmatrix}\).

Worked example 3

If \(|A| = 3\) for order 3: \(|2\,\mathrm{adj}\,A| = 2^3|A|^2 = 72\).

Common errors

  • Sign pattern of cofactors \(\begin{smallmatrix}+&-&+\\-&+&-\\+&-&+\end{smallmatrix}\) forgotten, especially for \(A_{12}, A_{21}, A_{23}, A_{32}\).
  • Writing the matrix of cofactors instead of its transpose as \(\mathrm{adj}\,A\).
  • \(|kA| = k|A|\) instead of \(k^n|A|\).
  • Forgetting the modulus (or one of the two cases) in area problems.
  • Writing \(X = BA^{-1}\) instead of \(X = A^{-1}B\); for \(XA = C\) the answer is \(X = CA^{-1}\).
  • Concluding “no solution” from \(|A| = 0\) alone.

Board-exam tips

  • In the 5-mark “solve using matrix method” question, marks are given for \(|A|\), adj A (or cofactors), \(A^{-1}\) and the solution separately — show each clearly, and substitute your answer back into one equation.
  • Properties of determinants (row/column operations) are not in the current syllabus: expand directly.

Topics in this chapter: Results on adjoint, inverse and |kA| · Minors and cofactors · Area of a triangle using determinants · Consistency of a system of linear equations · Adjoint and inverse of a matrix · Evaluating determinants · Solving linear systems by the matrix method.

Route to 95: four steps

Work through the steps in order. Take each checkpoint closed book, about 1.5 minutes per mark; pass at 80% to move on. Two misses in a row means going back one step.

Step 1

Secure the basics

Expand 2x2 and 3x3 determinants, find minors and cofactors, and find inverses of 2x2 matrices.

Read first: 1. Evaluating determinants; 3. Adjoint and inverse 6 practice questions · checkpoint: 3 questions, 5 marks, pass 80%
Practise step 1
Step 2

Board standard

Use determinants for area, collinearity and lines; use |kA|, |adj A| and inverse results; decide consistency of small systems.

Read first: 2. Area of a triangle and collinearity; 3. Adjoint and inverse; 4. Linear systems 22 practice questions · checkpoint: 4 questions, 9 marks, pass 75%
Practise step 2
Step 3

Full marks on long answers

Score full marks on the 5-mark matrix-method question and on determinant case studies, with every step mark visible.

Read first: 4. Linear systems; Worked example 2; Board-exam tips 6 practice questions · checkpoint: 3 questions, 14 marks, pass 70%
Practise step 3
Step 4

95+ stretch (HOTS)

Handle parameter systems (unique / none / infinitely many), adj-inverse identities and unfamiliar applications.

Read first: 3. Adjoint and inverse (results); 4. Linear systems 6 practice questions · checkpoint: 3 questions, 12 marks, pass 60%
Practise step 4

Practice questions

Original questions in the board's styles. Multiple-choice answers are checked as you go; for written answers, compare your working with the step mark scheme and record your marks. 5 of the 40 are competency-based (case studies and questions set in a real-life situation): the "Competency-based" button shows just those.

Q1·1 mark·Multiple choiceResults on adjoint, inverse and |kA|

If \(A\) is a square matrix of order \(3\) with \(|A| = 5\), then \(|-2A^{T}|\) equals

  1. (a)\(-40\)
  2. (b)\(40\)
  3. (c)\(-10\)
  4. (d)\(-80\)
Q2·1 mark·Multiple choiceAdjoint and inverse of a matrix

The inverse of \(A = \begin{bmatrix}2 & 3\\ 1 & 4\end{bmatrix}\) is

  1. (a)\(\dfrac{1}{11}\begin{bmatrix}4 & -3\\ -1 & 2\end{bmatrix}\)
  2. (b)\(\dfrac15\begin{bmatrix}4 & 3\\ 1 & 2\end{bmatrix}\)
  3. (c)\(\dfrac15\begin{bmatrix}2 & -3\\ -1 & 4\end{bmatrix}\)
  4. (d)\(\dfrac15\begin{bmatrix}4 & -3\\ -1 & 2\end{bmatrix}\)
Q3·1 mark·Multiple choiceArea of a triangle using determinants

Using determinants, the equation of the line joining \((2, 3)\) and \((-1, 5)\) is

  1. (a)\(3x + 2y = 12\)
  2. (b)\(2x + 3y = 13\)
  3. (c)\(2x - 3y = -5\)
  4. (d)\(3x - 2y = 0\)

Where marks are lost in Determinants

  • Wrong cofactor signs (A12, A21, A23, A32). Fix: write the +/- chessboard next to the matrix before computing cofactors.
  • Giving the cofactor matrix, not its transpose, as adj A. Fix: write adj A = Cᵀ and check that A(adj A) = |A|I for one row.
  • Using |kA| = k|A|. Fix: |kA| = kⁿ|A| for order n (for order 3, cube the scalar).
  • Missing a case in "area = given value" questions. Fix: set the determinant equal to ±(2 × area) and keep both values.
  • Writing X = BA⁻¹ for AX = B. Fix: pre-multiply by A⁻¹, so X = A⁻¹B; for XA = C, X = CA⁻¹.
  • Saying "no solution" as soon as |A| = 0. Fix: compute (adj A)B; if it is O, check the equations for infinitely many solutions or none.
  • Arithmetic slips in the 5-mark system with no check. Fix: substitute the answer into all three equations (takes 30 seconds).

Determinants in our sample papers

Once step 3 is passed, test the chapter inside a full timed paper on the 2026-27 pattern (original papers by us, not official CBSE papers).