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Class 12 Maths Notes

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Matrices 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.

Class:12Subject:MathematicsCovers:CBSE · JEE
6 Key Formulas4 Practice MCQs
DWritten byDeep Narayan
Updated
Key Concept Summary

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.

01

Notation and Types of Matrices

Definition

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.
Matrix notation and identity
02

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:
  • .
Addition and scalar multiplication
03

Multiplication of Matrices

Definition

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

Always check the inner dimensions match: for AB, columns of A must equal rows of B. Watch the reversal in (AB)ᵀ = BᵀAᵀ and (AB)⁻¹ = B⁻¹A⁻¹.
04

Transpose, Symmetric and Invertibility

Definition

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,
  • .
Inverse and symmetric/skew decomposition
05

Solved Examples

Example: For , find |A| and A⁻¹.

Solution: , so A is invertible. , and .

06

NCERT Exercise Questions

From the textbook

All NCERT questions for this chapter — NCERT Maths Part I, Chapter 3 (Matrices). Questions follow the textbook order so you can match them to the book.

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

  1. 1
    Q1 → Order: 3 × 4; elements: 12; a₁₃ = 19, a₂₁ = 35, a₃₃ = −5, a₂₄ = 12, a₂₃ = 5/3.
  2. 2
    Q2 → 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.
  3. 3
    Q3 → 18 elements: orders 1×18, 2×9, 3×6, 6×3, 9×2, 18×1. 5 elements: orders 1×5, 5×1.
  4. 4
    Q4 → answer not in source — verify against the textbook
  5. 5
    Q5 → answer not in source — verify against the textbook
  6. 6
    Q6 → x = 2, y = 4.
  7. 7
    Q7 → a + b = 6 and c + d = 8 (infinitely many solutions, e.g. a=2, b=4, c=3, d=5).
  8. 8
    Q8 → a = 4/5, b = 7/5.
  9. 9
    Q9 → x = −1, y = 4, z = 2, w = 2.
  10. 10
    Q10 → a = 1, b = 2, c = −3, d = 22.
  11. 11
    Q11 → answer not in source — verify against the textbook
  12. 12
    Q12 → answer not in source — verify against the textbook
  13. 13
    Q13 → answer not in source — verify against the textbook
  14. 14
    Q14 → answer not in source — verify against the textbook
  15. 15
    Q15 → (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.
  16. 16
    Q16 → answer not in source — verify against the textbook
  17. 17
    Q17 → answer not in source — verify against the textbook
  18. 18
    Q18 → A² − 5A + 7I = O, verified.
  19. 19
    Q19 → A³ − 6A² + 7A + 2I = O, verified.
  20. 20
    Q20 → Both identities verified: (AB)′ = B′A′ and (2A − B)′ = 2A′ − B′ hold.
  21. 21
    Q21 → A(B+C) = AB + AC = [8,15; 20,37]. Verified.
  22. 22
    Q22 → answer not in source — verify against the textbook
  23. 23
    Q23 → AB = BA = O. They are equal.
  24. 24
    Q24 → (A²)²⁰ = A⁴⁰ = I₂, verified.
  25. 25
    Q25 → answer not in source — verify against the textbook
  26. 26
    Q26 → answer not in source — verify against the textbook
  27. 27
    Q27 → answer not in source — verify against the textbook
  28. 28
    Q28 → answer not in source — verify against the textbook
  29. 29
    Q29 → answer not in source — verify against the textbook
  30. 30
    Q30 → (A+B)′ = A′ + B′ and (AB)′ = B′A′, both verified for these matrices.
  31. 31
    Q31 → answer not in source — verify against the textbook
  32. 32
    Q32 → (A⁻¹)⁻¹ = A, verified.
  33. 33
    Q33 → answer not in source — verify against the textbook
  34. 34
    Q34 → (AB)′ = B′A′ = BA = AB, so AB is symmetric.
  35. 35
    Q35 → (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.
  36. 36
    Q36 → A = [0,1; 0,0], B = [1,0; 0,0]: AB = O ≠ BA = [0,1; 0,0].
  37. 37
    Q37 → (AB)′ = B′A′ = [11,7; 11,7]. Verified.
  38. 38
    Q38 → A² = O. This is a nonzero matrix whose square is zero, illustrating that nonzero matrices can be nilpotent of index 2.
  39. 39
    Q39 → answer not in source — verify against the textbook
  40. 40
    Q40 → Both identities verified by direct computation.
  41. 41
    Q41 → (BA)′ = A′B′, verified by direct computation.
  42. 42
    Q42 → answer not in source — verify against the textbook
  43. 43
    Q43 → A is symmetric for all real x and y — the off-diagonal entries are both x, so A′ = A automatically.
  44. 44
    Q44 → x = −3; y can be any real number.
  45. 45
    Q45 → No solution — the (2,2) entry is 4 ≠ 0, but every diagonal entry of a skew-symmetric matrix must be 0.
  46. 46
    Q46 → No solution — the (2,2) entry is 1 ≠ 0 (diagonal of a skew-symmetric matrix must be 0).
  47. 47
    Q47 → answer not in source — verify against the textbook
  48. 48
    Q48 → 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.
  49. 49
    Q49 → (AB)′ = B′A′ = BA (using A′=A, B′=B). AB symmetric ⟺ (AB)′ = AB ⟺ BA = AB.
  50. 50
    Q50 → A = (A+A′)/2 + (A−A′)/2 gives the unique decomposition into symmetric + skew-symmetric parts.
  51. 51
    Q51 → A = A′ = −A ⟹ 2A = O ⟹ A = O.
  52. 52
    Q52 → (i) AB′ + BA′ is symmetric since (AB′ + BA′)′ = BA′ + AB′. (ii) AB′ − BA′ is skew-symmetric since (AB′ − BA′)′ = BA′ − AB′ = −(AB′ − BA′).
  53. 53
    Q53 → A symmetric requires sin θ = 0, giving θ = nπ and A = ±I (a scalar multiple of the identity).
  54. 54
    Q54 → (A + A′)′ = A′ + A = A + A′, so A + A′ is always symmetric.
  55. 55
    Q55 → 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.
  56. 56
    Q56 → A² = [2,−2; −2,2] = 2A, verified.
  57. 57
    Q57 → (AB − BA)′ = B′A′ − A′B′ = BA − AB = −(AB − BA). Skew-symmetric.
  58. 58
    Q58 → 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).
  59. 59
    Q59 → 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).
  60. 60
    Q60 → answer not in source — verify against the textbook
  61. 61
    Q61 → answer not in source — verify against the textbook
07

CBSE Pattern Questions

How CBSE asks this chapter

CBSE Class 12 Mathematics board paper: Section A (18 MCQs × 1M), Section B (5 × 2M), Section C (5 × 3M), Section D (3 × 4M) and Section E (case-study based). Matrices contributes 1-mark MCQs on order and operations, 2/3-mark questions on multiplication, transpose, and symmetric/ skew-symmetric properties, and 4-mark questions on the elementary-row operations and solving equations via matrix methods (invertible matrices).

MCQ Questions

Q1
If A is a 3 × 4 matrix and B is a 4 × 2 matrix, then the order of AB is
Q2
Which matrix makes A + B defined for any two matrices A and B?
Q3
A matrix A is symmetric if
Q4
The transpose of the matrix [1 2; 3 4] (rows) is

1 Mark Questions

  1. 1
    State the condition under which AB = BA holds for two matrices.
  2. 2
    What is the order of the zero matrix that acts as the additive identity for 2 × 3 matrices?
  3. 3
    When is a square matrix said to be a diagonal matrix?
  4. 4
    Write the number of elements in a matrix of order 3 × 3. (Ans: 9)

2 Mark Questions

  1. 1
    If A = [2 1; 0 3] and B = [1 2; 1 0], find AB and BA and check whether they are equal.
  2. 2
    If A = [x 1; 0 2] and A satisfies A² = [5 3; 0 4], find x. (Ans: x = 1)
  3. 3
    Show 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

  1. 1
    Express 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)
  2. 2
    Prove that the product of two non-singular matrices is non-singular, and give the determinant relation. (Ans: |AB| = |A||B|)
  3. 3
    If A = [1 1; 0 1], find Aⁿ for a positive integer n by induction. (Ans: Aⁿ = [1 n; 0 1])

4 Mark Questions

  1. 1
    Using 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].
  2. 2
    State 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.
08

PDF: Assignments & Tests

Printable study material

Free downloadable PDFs for Matrices — two topic-wise assignments covering every concept of the chapter, and two full CBSE-pattern tests (each 90 minutes, 40 marks) mirroring the board paper. No signup required.

Free PDF Downloads & Assignments

No Signup Required

Practice path: complete Assignment 1 first (topic-by-topic), then Assignment 2 (mixed difficulty with full solutions), then attempt the timed tests.

Matrices Assignment 1 — Topic-wise Questions

Covers all four topics: notation and types of matrices; addition and scalar multiplication; multiplication of matrices; and transpose, symmetric and invertibility.

matrices-class-12-notes-assignment-1.pdf
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Matrices Assignment 2 — Challenge + Integrated Problems

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.

matrices-class-12-notes-assignment-2.pdf
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Matrices Test 1 — CBSE Pattern (90 min, 40 marks)

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.

matrices-class-12-notes-test-1-cbse.pdf
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Matrices Test 2 — CBSE Pattern (90 min, 40 marks)

Second full paper with different questions, same 40-mark / 90-minute blueprint. Includes answer key.

matrices-class-12-notes-test-2-cbse.pdf
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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.

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