Class 12 Maths Notes
~8 min readMatrices Class 12 Notes
Complete, exam-ready notes on matrices: notation and types of matrices, addition and scalar multiplication, the row-by-column rule for multiplication, transpose and symmetric/skew-symmetric matrices, and the adjoint-inverse formula — written for CBSE boards and JEE revision.
What is this chapter about in one line?
Matrices are rectangular arrays of numbers with their own algebra — addition, multiplication, transposes and inverses — used to solve systems of linear equations efficiently.
Notation and Types of Matrices
Matrix
A rectangular array arranged into m rows and n columns, written , where is the entry in row i, column j. The order is m × n.
- Row and column matrices have one row or one column; a square matrix has m = n.
- Diagonal matrix: all off-diagonal entries zero; identity I: diagonal entries 1.
- Scalar and zero matrices: all diagonal entries equal (scalar) or every entry zero.
- A symmetric matrix satisfies Aᵀ = A; a skew-symmetric matrix satisfies Aᵀ = −A. The main diagonal of a skew-symmetric matrix is always zero.
Addition and Scalar Multiplication
- Two matrices add only if they have the same order:
- .
- Scalar multiplication:
- .
- Addition is commutative and associative; it distributes over scalar multiplication.
- The transpose of a sum:
- .
Multiplication of Matrices
Multiplication rule
AB is defined only when the number of columns of A equals the number of rows of B: . Each entry is .
- Matrix multiplication is NOT commutative: AB ≠ BA in general.
- It is associative and distributive over addition.
- A is orthogonal to being invertible separately:
- .
- Transpose of a product:
- .
Dimension compatibility
Transpose, Symmetric and Invertibility
Adjoint and inverse
The inverse of a square matrix exists when its determinant is non-zero: . The adjoint adj(A) is the transpose of the matrix of cofactors.
- A square matrix A is invertible (non-singular) iff
- .
- Every square matrix is the sum of a symmetric and a skew-symmetric matrix:
- .
- For an invertible matrix,
- .
Solved Examples
Example: For , find |A| and A⁻¹.
Solution: , so A is invertible. , and .
NCERT Exercise Questions
From the textbook
Exercises (NCERT Q1–Q61)
- 1) In the matrix , write the order, number of elements, and the elements
- 2) If a matrix has 24 elements, what are the possible orders? What if it has 13 elements?
- 3) If a matrix has 18 elements, what are the possible orders? What if it has 5 elements?
- 4) Construct a 2 × 2 matrix , where
- 5) Construct a 3 × 4 matrix , where
- 6) Find x and y from the equation
- 7) Find the values of a, b, c, d from
- 8) Find a and b from
- 9) Find x, y, z, w from
- 10) Find the values of a, b, c, d from the equation
- 11) Let , , . Find each of the following: (i) A + B, (ii) A − B, (iii) 3A − C, (iv) 3A + 4B.
- 12) Compute the following products: (i) ; (ii) ; (iii) ; (iv)
- 13) Let and . Verify that (i) A + B = B + A, (ii) A − B ≠ B − A.
- 14) Find A² − B² if and
- 15) Compute for the matrices in Question 3. Is it equal to ?
- 16) Solve for X and Y: and
- 17) Find X if
- 18) If , show that
- 19) If , prove that
- 20) If and , verify that (i) (ii)
- 21) If , , , verify that
- 22) Verify associativity of matrix multiplication: , , . Show that (AB)C = A(BC).
- 23) Given and , find AB and BA. Are they equal?
- 24) Let . Verify that
- 25) Let . Show that for all n ∈ ℕ.
- 26) Find the inverse of using the fact that
- 27) If show that . Hence find A⁻¹.
- 28) If , , find (AB)⁻¹ and verify it equals B⁻¹A⁻¹.
- 29) If , show that and hence find A⁻¹.
- 30) If and , verify that (i) (ii)
- 31) If , find and show that A² ≠ I in general.
- 32) If , verify that
- 33) If , show that and hence find A⁻¹.
- 34) If A and B are symmetric matrices of the same order and AB = BA, prove that AB is symmetric.
- 35) Let and . Find (i) (A+B)² (ii) A² + B² + 2AB. Are they equal?
- 36) Show that there exist matrices A and B such that AB ≠ BA.
- 37) If and , verify that
- 38) If , prove that (zero matrix).
- 39) Find the transpose of each of the following matrices: (i) (ii) (iii)
- 40) If and , verify that (i) (ii)
- 41) If and , verify that (BA)′ = A′B′.
- 42) If , find and show it is a symmetric matrix.
- 43) Find the values of x and y so that is symmetric.
- 44) Find the values of x and y so that is symmetric.
- 45) Find the values of a and b so that is skew-symmetric.
- 46) Find the values of a and b so that is skew-symmetric.
- 47) Express as the sum of a symmetric and a skew-symmetric matrix.
- 48) Express as the sum of a symmetric and a skew-symmetric matrix.
- 49) If A and B are symmetric matrices of the same order, show that AB is symmetric if and only if AB = BA.
- 50) Show that every square matrix can be uniquely expressed as the sum of a symmetric and a skew-symmetric matrix.
- 51) If A is a square matrix such that A is both symmetric and skew-symmetric, prove that A is a zero matrix.
- 52) If A and B are square matrices of the same order, show that (i) is symmetric (ii) is skew-symmetric.
- 53) If , show that A is symmetric if and only if it is a scalar multiple of the identity matrix.
- 54) Show that for a square matrix A, A + A′ is always symmetric.
- 55) Show that the matrix is skew-symmetric for all values of a, b, c.
- 56) Show that the matrix satisfies
- 57) If A and B are symmetric matrices of the same order, prove that AB − BA is skew-symmetric.
- 58) State the three types of elementary row operations that can be performed on a matrix. Give an example of each.
- 59) Define elementary column operations on a matrix. How are they related to elementary row operations?
- 60) Using elementary row operations, find the inverse of
- 61) Using elementary row operations, find the inverse of
Answers at a glance
- 1Q1 → Order: 3 × 4; elements: 12; a₁₃ = 19, a₂₁ = 35, a₃₃ = −5, a₂₄ = 12, a₂₃ = 5/3.
- 2Q2 → 24 elements: orders 1×24, 2×12, 3×8, 4×6, 6×4, 8×3, 12×2, 24×1 (8 orders). 13 elements: orders 1×13, 13×1.
- 3Q3 → 18 elements: orders 1×18, 2×9, 3×6, 6×3, 9×2, 18×1. 5 elements: orders 1×5, 5×1.
- 4Q4 → answer not in source — verify against the textbook
- 5Q5 → answer not in source — verify against the textbook
- 6Q6 → x = 2, y = 4.
- 7Q7 → a + b = 6 and c + d = 8 (infinitely many solutions, e.g. a=2, b=4, c=3, d=5).
- 8Q8 → a = 4/5, b = 7/5.
- 9Q9 → x = −1, y = 4, z = 2, w = 2.
- 10Q10 → a = 1, b = 2, c = −3, d = 22.
- 11Q11 → answer not in source — verify against the textbook
- 12Q12 → answer not in source — verify against the textbook
- 13Q13 → answer not in source — verify against the textbook
- 14Q14 → answer not in source — verify against the textbook
- 15Q15 → (A+B)(A−B) = [−10,10; −10,10]. This is NOT equal to A² − B², so the identity (A+B)(A−B) = A² − B² fails for matrix multiplication.
- 16Q16 → answer not in source — verify against the textbook
- 17Q17 → answer not in source — verify against the textbook
- 18Q18 → A² − 5A + 7I = O, verified.
- 19Q19 → A³ − 6A² + 7A + 2I = O, verified.
- 20Q20 → Both identities verified: (AB)′ = B′A′ and (2A − B)′ = 2A′ − B′ hold.
- 21Q21 → A(B+C) = AB + AC = [8,15; 20,37]. Verified.
- 22Q22 → answer not in source — verify against the textbook
- 23Q23 → AB = BA = O. They are equal.
- 24Q24 → (A²)²⁰ = A⁴⁰ = I₂, verified.
- 25Q25 → answer not in source — verify against the textbook
- 26Q26 → answer not in source — verify against the textbook
- 27Q27 → answer not in source — verify against the textbook
- 28Q28 → answer not in source — verify against the textbook
- 29Q29 → answer not in source — verify against the textbook
- 30Q30 → (A+B)′ = A′ + B′ and (AB)′ = B′A′, both verified for these matrices.
- 31Q31 → answer not in source — verify against the textbook
- 32Q32 → (A⁻¹)⁻¹ = A, verified.
- 33Q33 → answer not in source — verify against the textbook
- 34Q34 → (AB)′ = B′A′ = BA = AB, so AB is symmetric.
- 35Q35 → (A+B)² = 2I = [2,0; 0,2]. A²+B²+2AB = [2,2; −2,2]. They are NOT equal because AB ≠ BA, so (A+B)² = A²+AB+BA+B² ≠ A²+2AB+B².
- 36Q36 → A = [0,1; 0,0], B = [1,0; 0,0]: AB = O ≠ BA = [0,1; 0,0].
- 37Q37 → (AB)′ = B′A′ = [11,7; 11,7]. Verified.
- 38Q38 → A² = O. This is a nonzero matrix whose square is zero, illustrating that nonzero matrices can be nilpotent of index 2.
- 39Q39 → answer not in source — verify against the textbook
- 40Q40 → Both identities verified by direct computation.
- 41Q41 → (BA)′ = A′B′, verified by direct computation.
- 42Q42 → answer not in source — verify against the textbook
- 43Q43 → A is symmetric for all real x and y — the off-diagonal entries are both x, so A′ = A automatically.
- 44Q44 → x = −3; y can be any real number.
- 45Q45 → No solution — the (2,2) entry is 4 ≠ 0, but every diagonal entry of a skew-symmetric matrix must be 0.
- 46Q46 → No solution — the (2,2) entry is 1 ≠ 0 (diagonal of a skew-symmetric matrix must be 0).
- 47Q47 → answer not in source — verify against the textbook
- 48Q48 → A is already symmetric (A′ = A), so the symmetric part is A itself and the skew-symmetric part is the zero matrix O. Hence A = A + O.
- 49Q49 → (AB)′ = B′A′ = BA (using A′=A, B′=B). AB symmetric ⟺ (AB)′ = AB ⟺ BA = AB.
- 50Q50 → A = (A+A′)/2 + (A−A′)/2 gives the unique decomposition into symmetric + skew-symmetric parts.
- 51Q51 → A = A′ = −A ⟹ 2A = O ⟹ A = O.
- 52Q52 → (i) AB′ + BA′ is symmetric since (AB′ + BA′)′ = BA′ + AB′. (ii) AB′ − BA′ is skew-symmetric since (AB′ − BA′)′ = BA′ − AB′ = −(AB′ − BA′).
- 53Q53 → A symmetric requires sin θ = 0, giving θ = nπ and A = ±I (a scalar multiple of the identity).
- 54Q54 → (A + A′)′ = A′ + A = A + A′, so A + A′ is always symmetric.
- 55Q55 → B is skew-symmetric: B′ = −B for all a, b, c. The diagonal is all zeros and off-diagonal pairs satisfy b′ᵢⱼ = −b′ⱼᵢ.
- 56Q56 → A² = [2,−2; −2,2] = 2A, verified.
- 57Q57 → (AB − BA)′ = B′A′ − A′B′ = BA − AB = −(AB − BA). Skew-symmetric.
- 58Q58 → The three elementary row operations are: (1) Interchange of two rows (Rᵢ ↔ Rⱼ); (2) Multiplication of a row by a non-zero scalar (Rᵢ → kRᵢ, k ≠ 0); (3) Addition of a scalar multiple of one row to another (Rᵢ → Rᵢ + kRⱼ).
- 59Q59 → Elementary column operations mirror row operations applied to columns: (1) Cᵢ ↔ Cⱼ, (2) Cᵢ → kCᵢ (k≠0), (3) Cᵢ → Cᵢ + kCⱼ. They correspond to right-multiplication by elementary matrices (versus left-multiplication for row operations).
- 60Q60 → answer not in source — verify against the textbook
- 61Q61 → answer not in source — verify against the textbook
CBSE Pattern Questions
How CBSE asks this chapter
MCQ Questions
1 Mark Questions
- 1State the condition under which AB = BA holds for two matrices.
- 2What is the order of the zero matrix that acts as the additive identity for 2 × 3 matrices?
- 3When is a square matrix said to be a diagonal matrix?
- 4Write the number of elements in a matrix of order 3 × 3. (Ans: 9)
2 Mark Questions
- 1If A = [2 1; 0 3] and B = [1 2; 1 0], find AB and BA and check whether they are equal.
- 2If A = [x 1; 0 2] and A satisfies A² = [5 3; 0 4], find x. (Ans: x = 1)
- 3Show that the sum of a matrix and its transpose is symmetric for A = [1 2; 3 4]. (Ans: A + Aᵀ = [2 5; 5 8])
3 Mark Questions
- 1Express the matrix A = [3 5; 1 −1] as the sum of a symmetric and a skew-symmetric matrix. (Ans: (A + Aᵀ)/2 + (A − Aᵀ)/2)
- 2Prove that the product of two non-singular matrices is non-singular, and give the determinant relation. (Ans: |AB| = |A||B|)
- 3If A = [1 1; 0 1], find Aⁿ for a positive integer n by induction. (Ans: Aⁿ = [1 n; 0 1])
4 Mark Questions
- 1Using elementary row operations, reduce the matrix A = [2 1; 3 4] to the identity matrix and hence (or otherwise) show A⁻¹ = (1/5)[4 −1; −3 2].
- 2State the conditions for the product AB to be defined. Using A = [1 3; 2 4] and B = [5 0; 2 1], verify that (Aᵀ)ᵀ = A, (AB)ᵀ = BᵀAᵀ, and (AB)⁻¹ = B⁻¹A⁻¹.
PDF: Assignments & Tests
Printable study material
Free PDF Downloads & Assignments
Practice path: complete Assignment 1 first (topic-by-topic), then Assignment 2 (mixed difficulty with full solutions), then attempt the timed tests.
Covers all four topics: notation and types of matrices; addition and scalar multiplication; multiplication of matrices; and transpose, symmetric and invertibility.
Higher-difficulty set with multi-step problems (construction of matrices, matrix equations, products AB vs BA, transpose and symmetry proofs, invertibility) and full worked answers. Includes an answer key.
Full board-pattern test: Section A (MCQ/VSA 1M × 10), Section B (2M × 4), Section C (3M × 4), Section D (5M × 2) = 40 marks. Time: 90 minutes. Includes answer key.
Second full paper with different questions, same 40-mark / 90-minute blueprint. Includes answer key.
Quick Revision
Key formulas at a glance
Memorise these equations — direct application numericals and derivations in CBSE & JEE frequently hinge on these.
Matrix addition
Multiplication
Product transpose
Inverse
Symmetric decomposition
Product inverse
Exam Strategy
How this chapter is asked
High-yield question patterns observed across CBSE boards, JEE Main & Advanced, and NEET.
- AB defined only if columns of A = rows of B; orders follow (m×n)(n×p) = (m×p).
- Matrix multiplication is not commutative.
- A⁻¹ exists iff |A| ≠ 0; A·A⁻¹ = I.
- Aᵀ = A symmetric, Aᵀ = −A skew-symmetric (zero diagonal).
- Invert the order in (AB)ᵀ = BᵀAᵀ and (AB)⁻¹ = B⁻¹A⁻¹.
- |AB| = |A||B| for square matrices.
FAQ
Frequently asked questions
When can two matrices be multiplied?
Only when the number of columns of the first matrix equals the number of rows of the second; the result has the outer dimensions.
When does a matrix have an inverse?
A square matrix has an inverse exactly when its determinant is non-zero, in which case A⁻¹ = adj(A)/|A|.
What is a symmetric matrix?
A square matrix equal to its own transpose (Aᵀ = A). A skew-symmetric matrix satisfies Aᵀ = −A and has a zero main diagonal.
Is AB always equal to BA?
No. Matrix multiplication is not commutative — the orders of the products may even differ, and AB could be defined while BA is not.
Next Chapters
Continue learning
Same chapter
Read alongside
Interactive Quiz
Chapter MCQ practice test
Instant scoring with complete solutions — test your mastery in under 15 minutes.
Chapter MCQ Mock Test
Evaluate how well you have retained the concepts, formulas, and reaction mechanisms from this chapter. Questions adhere strictly to latest CBSE, JEE & NEET trends.
Master this chapter with expert live guidance
Self-study notes lay the ground, but conceptual doubts clear fastest in an interactive classroom. Narayan Gurukul Academy (ClassApna) conducts small-batch CBSE, JEE & NEET coaching with daily doubt solving and rigorous mock tests.
Small batches · 1-on-1 personal mentorship · Live online & offline centre