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Chapter 4: Determinants

Overview

Revise determinant expansion and properties, area of a triangle, minors and cofactors, adjoint and inverse, and the matrix method for linear systems. Solved examples and CBSE PYQs provide board-focused practice.

Complete Board Exam Focused Notes with Expansion, Adjoint, Inverse & PYQs

2026?27 Syllabus Focus

The course structure groups marks by unit, but the paper design does not guarantee a fixed allocation for any chapter. These checkpoints follow the current syllabus; they are not a mark prediction.

  • Determinants up to order 3, minors and cofactors.
  • Using determinants to find the area of a triangle.
  • Adjoint and inverse; consistency and solutions of linear systems in two or three variables using an inverse matrix.

CBSE Mathematics (Code 041) curriculum, 2026?27

Last 24-Hour Checklist

Basic Concepts & Properties

1. Determinant of a Matrix (The Value)

Only square matrices have determinants.
Denoted by: $|A|$ or $\det(A)$ or $Δ$.
Note: It is NOT modulus. It can be negative.

2x2 Matrix (Crossfire)

$\begin{vmatrix} a & b \\ c & d \end{vmatrix} = (ad) - (bc)$

Method: Down-Right minus Up-Right.

Example: $\begin{vmatrix} 2 & 4 \\ -1 & 2 \end{vmatrix} = (4) - (-4) = 8$.

3x3 Expansion (Traffic Lights)

Signs: $\begin{bmatrix} + & - & + \\ - & + & - \\ + & - & + \end{bmatrix}$

Expand along Row 1: take element, apply sign, multiply by minor.

2. Important Properties (Cheat Sheet)

  • Reflection: $|A| = |A'|$ (Rows $\leftrightarrow$ Columns doesn't change value).
  • Scalar Power: $|kA|_{n × n} = k^n |A|$ (Pulling $k$ out brings power $n$).
  • Multiplication: $|AB| = |A||B|$ (Break it apart).

3. Area of Triangle (Shoelace Lite)

$$Δ = \frac{1}{2} | \begin{vmatrix} x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \\ x_3 & y_3 & 1 \end{vmatrix} |$$
Key Points:
1. Always take Absolute Value (Area is +ve).
2. If Area is given as 4, use $\pm 4$ for calculation.
3. Collinear Points: Area = 0.

Adjoint and Inverse (The Magic Formula)

The Big Picture:
Inverse exists ONLY if Matrix is Non-Singular ($|A| \neq 0$).

1. Key Terms

Cofactor ($A_{ij}$)

Signed Minor.

Use "Traffic Control" signs ($+ - +$).

Adjoint (adj A)

Transpose of Cofactor Matrix.

Imagine flipping the cofactors over the diagonal.

2. The Formula

$$A^{-1} = \frac{1}{|A|} (adj A)$$

3. Properties of Adjoint

  • $A(adj A) = (adj A)A = |A|I$
  • $|adj A| = |A|^{n-1}$
  • $adj(adj A) = |A|^{n-2}A$
  • $|adj(adj A)| = |A|^{(n-1)^2}$
  • $adj(AB) = (adj B)(adj A)$ (Reversal Law)
Solving Equations ($AX=B$):
1. Find $|A|$. If $\neq 0$, proceed.
2. Find Inverse ($A^{-1}$).
3. Multiply: $X = A^{-1}B$.
⚡ High-Yield Determinant Properties & Adjoint Theorems:
  • Scalar Scaling Theorem (Highest Frequency MCQ):
    If $A$ is an $n \times n$ matrix, then $|kA| = k^n |A|$.
    • Example: If $A$ is of order $3 \times 3$ and $|A| = 4$, then $|2A| = 2^3 |A| = 8 \times 4 = 32$.
  • Adjoint Power & Determinant Identities:
    • $A \cdot (\text{adj } A) = (\text{adj } A) \cdot A = |A| I_n$
    • $|\text{adj } A| = |A|^{n-1}$ (For $3 \times 3$: $|\text{adj } A| = |A|^2$)
    • $|\text{adj}(\text{adj } A)| = |A|^{(n-1)^2}$ (For $3 \times 3$: $|\text{adj}(\text{adj } A)| = |A|^4$)
    • $\text{adj}(\text{adj } A) = |A|^{n-2} A$ (for $n \ge 3$)
    • $\text{adj}(AB) = (\text{adj } B)(\text{adj } A)$
    • $(\text{adj } A)^T = \text{adj}(A^T)$
  • Determinant Multiplicative Rules:
    • $|AB| = |A| \cdot |B|$
    • $|A^{-1}| = \frac{1}{|A|}$
    • $|A^T| = |A|$
  • Cofactor Expansion Property:
    • Sum of products of elements of any row with their own cofactors $= |A|$ ($a_{11}A_{11} + a_{12}A_{12} + a_{13}A_{13} = |A|$).
    • Sum of products of elements of any row with cofactors of any other row $= 0$ ($a_{11}A_{21} + a_{12}A_{22} + a_{13}A_{23} = 0$).
  • Consistency Rules for System of Linear Equations ($AX = B$):
    • Case 1: $|A| \neq 0$ → Consistent, unique solution $X = A^{-1}B$.
    • Case 2: $|A| = 0$ and $(\text{adj } A)B \neq O$ → Inconsistent, NO solution.
    • Case 3: $|A| = 0$ and $(\text{adj } A)B = O$ → Consistent with Infinitely Many Solutions (or no solution).
  • Area of Triangle & Collinearity Rules:
    • $\Delta = \frac{1}{2} \begin{vmatrix} x_1 & y_1 & 1 \\ x_2 & y_2 & 1 \\ x_3 & y_3 & 1 \end{vmatrix}$. Points are collinear $\iff \Delta = 0$.
    • When the area is given (e.g. $4\text{ sq units}$), calculate using $\pm 4$ to find unknown coordinates.

Solved Examples (Board Marking Scheme)

Q1. If $A = \begin{bmatrix} 1 & 2 \\ 4 & 2 \end{bmatrix}$, then show that $|2A| = 4|A|$. (2 Marks)

Step 1: Calculate LHS 1 Mark

$2A = 2\begin{bmatrix} 1 & 2 \\ 4 & 2 \end{bmatrix} = \begin{bmatrix} 2 & 4 \\ 8 & 4 \end{bmatrix}$.

$|2A| = (2)(4) - (4)(8) = 8 - 32 = -24$.

Step 2: Calculate RHS 1 Mark

$|A| = (1)(2) - (2)(4) = 2 - 8 = -6$.

$4|A| = 4(-6) = -24$.

Hence, LHS = RHS.

Q2. Find the area of the triangle with vertices $(2, 7), (1, 1), (10, 8)$. (2 Marks)

Step 1: Setup Determinant 0.5 Mark

$Δ = \frac{1}{2} \begin{vmatrix} 2 & 7 & 1 \\ 1 & 1 & 1 \\ 10 & 8 & 1 \end{vmatrix}$

Step 2: Expand 1 Mark

$= \frac{1}{2} [ 2(1-8) - 7(1-10) + 1(8-10) ]$

$= \frac{1}{2} [ 2(-7) - 7(-9) + 1(-2) ]$

$= \frac{1}{2} [ -14 + 63 - 2 ] = \frac{1}{2} [ 47 ] = 23.5$.

Step 3: Final Answer 0.5 Mark

Area = 23.5 sq units.

Q3. Solve the system of equations: $2x + 5y = 1$, $3x + 2y = 7$ using matrix method. (5 Marks)

Step 1: Write $AX=B$ 1 Mark

$A = \begin{bmatrix} 2 & 5 \\ 3 & 2 \end{bmatrix}, X = \begin{bmatrix} x \\ y \end{bmatrix}, B = \begin{bmatrix} 1 \\ 7 \end{bmatrix}$.

Step 2: Find $|A|$ 1 Mark

$|A| = 4 - 15 = -11 \neq 0$. Unique solution exists.

Step 3: Find adj A 1 Mark

Cofactors: $A_{11}=2, A_{12}=-3, A_{21}=-5, A_{22}=2$.

$adj A = \begin{bmatrix} 2 & -5 \\ -3 & 2 \end{bmatrix}$.

Step 4: Find $X = A^{-1}B$ 2 Marks

$X = \frac{1}{-11} \begin{bmatrix} 2 & -5 \\ -3 & 2 \end{bmatrix} \begin{bmatrix} 1 \\ 7 \end{bmatrix}$

$= \frac{1}{-11} \begin{bmatrix} 2 - 35 \\ -3 + 14 \end{bmatrix} = \frac{1}{-11} \begin{bmatrix} -33 \\ 11 \end{bmatrix} = \begin{bmatrix} 3 \\ -1 \end{bmatrix}$.

So, $x = 3, y = -1$.

Previous Year Questions (PYQs)

2023 (1 Mark MCQ): If $A$ is a square matrix of order 3 and $|A| = 5$, then the value of $|2A'|$ is:
(A) -10   (B) 10   (C) -40   (D) 40
Ans: (D). $|2A'| = |2A|$ (since $|A'|=|A|$). Using $|kA| = k^n|A|$, $|2A| = 2^3 |A| = 8 × 5 = 40$.
2022 (1 Mark): If for matrix $A$, $|A| = 3$, find $|A (adj A)|$.
Ans: We know $A(adj A) = |A|I$. So $|A(adj A)| = ||A|I|$. Since $|A|I$ is a scalar matrix with diagonal elements $|A|$, its determinant is $|A|^n$. If order is not given (assume 3), answer is $3^3 = 27$. If order 2, $3^2=9$.
2023 (5 Marks): If $A = \begin{bmatrix} 2 & -3 & 5 \\ 3 & 2 & -4 \\ 1 & 1 & -2 \end{bmatrix}$, find $A^{-1}$. Using $A^{-1}$, solve the system of linear equations:
$2x - 3y + 5z = 11$, $3x + 2y - 4z = -5$, $x + y - 2z = -3$.
Key Steps:
• Calculate $|A| = 2(-4+4) - (-3)(-6+4) + 5(3-2) = 0 - 6 + 5 = -1 \neq 0$.
• Find matrix of cofactors → $\text{adj } A = \begin{bmatrix} 0 & 2 & 1 \\ -1 & -9 & -5 \\ 2 & 23 & 13 \end{bmatrix}$.
• $A^{-1} = \frac{1}{|A|}\text{adj } A = -\begin{bmatrix} 0 & 2 & 1 \\ -1 & -9 & -5 \\ 2 & 23 & 13 \end{bmatrix}$.
• $X = A^{-1}B = \begin{bmatrix} x \\ y \\ z \end{bmatrix} = \begin{bmatrix} 1 \\ 2 \\ 3 \end{bmatrix} \implies x = 1, y = 2, z = 3$.

Exam Strategy & Mistake Bank

Common Mistakes

Mistake 1: Confusing matrix notation $[ ]$ with determinant $| |$. They are different!
Mistake 2: In $|kA|$, writing $k|A|$. Correct is $k^n |A|$.
Mistake 3: Forgetting the sign convention ($+ - +$) while expanding, especially for the middle term.

Scoring Tips

Tip 1: For "Find $A^{-1}$" questions, always check $|A|$ first. If 0, stop and write "Inverse does not exist".
Tip 2: In Area of Triangle problems, if area is given (e.g., 4 units), use $\pm 4$ in calculation to find unknown coordinates.
Tip 3: For long answer linear equations, verify your $x, y, z$ values by substituting them back into one of the original equations.

Practice Problems (Self-Assessment)

Level 1: Basic (1 Mark Each)

Q1. Evaluate $\begin{vmatrix} \cosθ & -\sinθ \\ \sinθ & \cosθ \end{vmatrix}$.

Step 1: Cross Multiply

$(\cosθ)(\cosθ) - (\sinθ)(-\sinθ)$

Step 2: Simplify

$= \cos^2θ - (-\sin^2θ)$

$= \cos^2θ + \sin^2θ = 1$.

Q2. Find $x$ if $\begin{vmatrix} 2 & 4 \\ 5 & 1 \end{vmatrix} = \begin{vmatrix} 2x & 4 \\ 6 & x \end{vmatrix}$.

Step 1: Evaluate LHS

$|LHS| = (2)(1) - (4)(5) = 2 - 20 = -18$.

Step 2: Evaluate RHS

$|RHS| = (2x)(x) - (4)(6) = 2x^2 - 24$.

Step 3: Equate & Solve

$2x^2 - 24 = -18$

$2x^2 = 6 \Rightarrow x^2 = 3$

$x = \pm \sqrt{3}$.

Level 2: Intermediate (2-3 Marks Each)

Q3. Find the equation of the line joining $A(1, 3)$ and $B(0, 0)$ using determinants.

Step 1: Condition for Collinearity

Let $P(x, y)$ be any point on the line. Area of $Δ ABP$ must be 0.

$\frac{1}{2} \begin{vmatrix} x & y & 1 \\ 1 & 3 & 1 \\ 0 & 0 & 1 \end{vmatrix} = 0$.

Step 2: Expand Determinant

Expand along $R_3$ (since it has two zeros):

$0(...) - 0(...) + 1[x(3) - y(1)] = 0$

$3x - y = 0 \Rightarrow y = 3x$.

Q4. If $A = \begin{bmatrix} 2 & 3 \\ 1 & -4 \end{bmatrix}$ and $B = \begin{bmatrix} 1 & -2 \\ -1 & 3 \end{bmatrix}$, verify that $(AB)-1 = B^{-1}A^{-1}$.

Step 1: Find LHS $(AB)^{-1}$

$AB = \begin{bmatrix} 2(1)+3(-1) & 2(-2)+3(3) \\ 1(1)+(-4)(-1) & 1(-2)+(-4)(3) \end{bmatrix} = \begin{bmatrix} 2-3 & -4+9 \\ 1+4 & -2-12 \end{bmatrix} = \begin{bmatrix} -1 & 5 \\ 5 & -14 \end{bmatrix}$.

$|AB| = (-1)(-14) - (5)(5) = 14 - 25 = -11$.

$(AB)-1 = \frac{1}{|AB|} adj(AB) = \frac{1}{-11} \begin{bmatrix} -14 & -5 \\ -5 & -1 \end{bmatrix}$.

Step 2: Find RHS $B^{-1}A^{-1}$

$|A| = (2)(-4) - (3)(1) = -8 - 3 = -11$.

$A^{-1} = \frac{1}{|A|} adj(A) = \frac{1}{-11} \begin{bmatrix} -4 & -3 \\ -1 & 2 \end{bmatrix}$.

$|B| = (1)(3) - (-2)(-1) = 3 - 2 = 1$.

$B^{-1} = \frac{1}{|B|} adj(B) = \frac{1}{1} \begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix} = \begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix}$.

$B^{-1}A^{-1} = \begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix} \frac{1}{-11} \begin{bmatrix} -4 & -3 \\ -1 & 2 \end{bmatrix} = \frac{1}{-11} \begin{bmatrix} 3(-4)+2(-1) & 3(-3)+2(2) \\ 1(-4)+1(-1) & 1(-3)+1(2) \end{bmatrix}$

$= \frac{1}{-11} \begin{bmatrix} -12-2 & -9+4 \\ -4-1 & -3+2 \end{bmatrix} = \frac{1}{-11} \begin{bmatrix} -14 & -5 \\ -5 & -1 \end{bmatrix}$.

Step 3: Conclusion

Since LHS = $\frac{1}{-11} \begin{bmatrix} -14 & -5 \\ -5 & -1 \end{bmatrix}$ and RHS = $\frac{1}{-11} \begin{bmatrix} -14 & -5 \\ -5 & -1 \end{bmatrix}$, we have LHS = RHS. Verified.

Level 3: Advanced (5 Marks Each)

Q5. Solve the following system of equations by matrix method:
$3x - 2y + 3z = 8$
$2x + y - z = 1$
$4x - 3y + 2z = 4$

Step 1: Write in Matrix Form $AX=B$

$A = \begin{bmatrix} 3 & -2 & 3 \\ 2 & 1 & -1 \\ 4 & -3 & 2 \end{bmatrix}$, $X = \begin{bmatrix} x \\ y \\ z \end{bmatrix}$, $B = \begin{bmatrix} 8 \\ 1 \\ 4 \end{bmatrix}$.

Step 2: Find Determinant of A

$|A| = 3(1 · 2 - (-1) · (-3)) - (-2)(2 · 2 - (-1) · 4) + 3(2 · (-3) - 1 · 4)$

$|A| = 3(2 - 3) + 2(4 + 4) + 3(-6 - 4)$

$|A| = 3(-1) + 2(8) + 3(-10)$

$|A| = -3 + 16 - 30 = -17$.

Since $|A| = -17 \neq 0$, a unique solution exists.

Step 3: Find Adjoint of A

Cofactors:

$A_{11} = \begin{vmatrix} 1 & -1 \\ -3 & 2 \end{vmatrix} = 2-3 = -1$

$A_{12} = -\begin{vmatrix} 2 & -1 \\ 4 & 2 \end{vmatrix} = -(4+4) = -8$

$A_{13} = \begin{vmatrix} 2 & 1 \\ 4 & -3 \end{vmatrix} = -6-4 = -10$

$A_{21} = -\begin{vmatrix} -2 & 3 \\ -3 & 2 \end{vmatrix} = -(-4+9) = -5$

$A_{22} = \begin{vmatrix} 3 & 3 \\ 4 & 2 \end{vmatrix} = 6-12 = -6$

$A_{23} = -\begin{vmatrix} 3 & -2 \\ 4 & -3 \end{vmatrix} = -(-9+8) = 1$

$A_{31} = \begin{vmatrix} -2 & 3 \\ 1 & -1 \end{vmatrix} = 2-3 = -1$

$A_{32} = -\begin{vmatrix} 3 & 3 \\ 2 & -1 \end{vmatrix} = -(-3-6) = 9$

$A_{33} = \begin{vmatrix} 3 & -2 \\ 2 & 1 \end{vmatrix} = 3+4 = 7$

Cofactor matrix $C = \begin{bmatrix} -1 & -8 & -10 \\ -5 & -6 & 1 \\ -1 & 9 & 7 \end{bmatrix}$.

$adj A = C^T = \begin{bmatrix} -1 & -5 & -1 \\ -8 & -6 & 9 \\ -10 & 1 & 7 \end{bmatrix}$.

Step 4: Find Inverse of A

$A^{-1} = \frac{1}{|A|} adj A = \frac{1}{-17} \begin{bmatrix} -1 & -5 & -1 \\ -8 & -6 & 9 \\ -10 & 1 & 7 \end{bmatrix}$.

Step 5: Solve for X ($X=A^{-1}B$)

$X = \frac{1}{-17} \begin{bmatrix} -1 & -5 & -1 \\ -8 & -6 & 9 \\ -10 & 1 & 7 \end{bmatrix} \begin{bmatrix} 8 \\ 1 \\ 4 \end{bmatrix}$

$X = \frac{1}{-17} \begin{bmatrix} (-1)(8) + (-5)(1) + (-1)(4) \\ (-8)(8) + (-6)(1) + (9)(4) \\ (-10)(8) + (1)(1) + (7)(4) \end{bmatrix}$

$X = \frac{1}{-17} \begin{bmatrix} -8 - 5 - 4 \\ -64 - 6 + 36 \\ -80 + 1 + 28 \end{bmatrix}$

$X = \frac{1}{-17} \begin{bmatrix} -17 \\ -34 \\ -51 \end{bmatrix}$

$X = \begin{bmatrix} \frac{-17}{-17} \\ \frac{-34}{-17} \\ \frac{-51}{-17} \end{bmatrix} = \begin{bmatrix} 1 \\ 2 \\ 3 \end{bmatrix}$.

Final Answer: So, $x = 1, y = 2, z = 3$.

📝 10-Mark Self-Assessment Test

Time: 25 Mins

Solve these high-frequency CBSE Board questions on paper, then reveal step-by-step solutions to check your marks.

Q1 (1 Mark - MCQ): If $A$ is a square matrix of order $3$ and $|A| = 5$, then the value of $|adj A|$ is:
(a) $5$    (b) $25$    (c) $125$    (d) $\frac{1}{5}$
Q2 (2 Marks - VSA): Find the area of the triangle whose vertices are $(3, 8)$, $(-4, 2)$, and $(5, 1)$ using determinants.
Q3 (3 Marks - SA): If $A = \begin{bmatrix} 1 & -1 & 2 \\ 0 & 2 & -3 \\ 3 & -2 & 4 \end{bmatrix}$ and $B = \begin{bmatrix} -2 & 0 & 1 \\ 9 & 2 & -3 \\ 6 & 1 & -2 \end{bmatrix}$, find $AB$. Hence, evaluate $A^{-1}$.
Q4 (4 Marks - LA): Solve the following system of linear equations using matrix method:
$$2x + 3y + 3z = 5$$ $$x - 2y + z = -4$$ $$3x - y - 2z = 3$$
← Chapter 3 Chapter 5 →

Chapter 4 Study Ecosystem: Complete Preparation Hub

Strengthen your conceptual grasp of Determinants by progressing seamlessly through our chapter notes, step-by-step NCERT exercise solutions, authentic past 10-year board questions, and timed diagnostic assessments:

Textbook Solutions NCERT Exercise Practice →

Full step-by-step textbook solutions with formulas and explanations.

Board Questions CBSE Board PYQs (2015-2024) →

Past 10 years board examination problems sorted by topic.

Online Assessment Chapter Diagnostic Test →

Timed online test with instant grading and step-by-step solutions.

Frequently Asked Questions: Class 12 Determinants

1. What is the weightage of Chapter 4 Determinants in CBSE Class 12? +

Determinants forms the core of Unit II (10 marks total), usually featuring a mandatory 5-mark or 4-mark case study question on solving systems of linear equations via Matrix Method.

2. What is the Matrix Method formula to solve AX = B? +

If |A| != 0, the matrix system has a unique consistent solution given by X = A^-1 B, where A^-1 = (1 / |A|) * adj(A).

3. What happens if determinant |A| = 0? +

If |A| = 0, calculate (adj A) * B. If (adj A) * B != O, the system has no solution (inconsistent). If (adj A) * B = O, the system is either consistent with infinitely many solutions or inconsistent.

4. What is the formula relating |adj(A)| to |A| for an n x n matrix? +

For any square matrix A of order n, |adj(A)| = |A|^(n - 1). For a 3x3 matrix, |adj(A)| = |A|^2.

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