NCERT Solutions · Class 12 Maths · NCERT Mathematics Part I and II Part I · Chapter 3
Chapter 3: Matrices (Algebra)
Step-by-step solutions to all exercises of Chapter 3, Matrices (NCERT Class 12 Maths Part I, 2026-27): Exercise 3.1 (order, elements, constructing matrices, equal matrices), Exercise 3.2 (addition, scalar multiplication, products, matrix equations, applications), Exercise 3.3 (transpose, symmetric and skew symmetric matrices), Exercise 3.4 and the Miscellaneous Exercise. All 56 questions are answered, with the key answer highlighted.
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Exercise 3.1 Exercise 3.2 Exercise 3.3 Exercise 3.4 Miscellaneous Exercise on Chapter 3 Matrices of the same order are added element by element. The product AB of an m × n and an n × p matrix is m × p , with ( A B ) ik = ∑ j a ij b j k ; in general A B = B A . Transpose: ( A ′ ) ′ = A , ( A + B ) ′ = A ′ + B ′ , ( A B ) ′ = B ′ A ′ . A is symmetric if A ′ = A and skew symmetric if A ′ = − A ; every square matrix is 2 1 ( A + A ′ ) + 2 1 ( A − A ′ ) .
Exercise 3.1
1 In the matrix
A = 2 35 3 5 − 2 1 19 2 5 − 5 − 7 12 17 , write: (i) the order of the matrix, (ii) the number of elements, (iii) the elements
a 13 , a 21 , a 33 , a 24 , a 23 .
Solution
(i) 3 rows and 4 columns: order 3 × 4 .
(ii) 3 × 4 = 12 elements.
(iii) a 13 = 19 , a 21 = 35 , a 33 = − 5 , a 24 = 12 , a 23 = 2 5 .
(i) 3 × 4. (ii) 12. (iii) 19, 35, −5, 12, 5/2.
2 If a matrix has 24 elements, what are the possible orders it can have? What, if it has 13 elements?
Solution
The order m × n must satisfy mn = 24 : 1 × 24 , 24 × 1 , 2 × 12 , 12 × 2 , 3 × 8 , 8 × 3 , 4 × 6 , 6 × 4 .
For 13 elements (13 is prime): 1 × 13 and 13 × 1 .
24: 1×24, 24×1, 2×12, 12×2, 3×8, 8×3, 4×6, 6×4. 13: 1×13, 13×1.
3 If a matrix has 18 elements, what are the possible orders it can have? What, if it has 5 elements?
Solution
mn = 18 : 1 × 18 , 18 × 1 , 2 × 9 , 9 × 2 , 3 × 6 , 6 × 3 .
For 5 elements: 1 × 5 and 5 × 1 .
18: 1×18, 18×1, 2×9, 9×2, 3×6, 6×3. 5: 1×5, 5×1.
4 Construct a 2 × 2 matrix, A = [ a ij ] , whose elements are given by: (i) a ij = 2 ( i + j ) 2 (ii) a ij = j i (iii) a ij = 2 ( i + 2 j ) 2
Solution
(i) a 11 = 2 4 = 2 , a 12 = 2 9 , a 21 = 2 9 , a 22 = 2 16 = 8 :
A = [ 2 2 9 2 9 8 ]
(ii) a 11 = 1 , a 12 = 2 1 , a 21 = 2 , a 22 = 1 :
A = [ 1 2 2 1 1 ]
(iii) a 11 = 2 9 , a 12 = 2 25 , a 21 = 2 16 = 8 , a 22 = 2 36 = 18 :
A = [ 2 9 8 2 25 18 ]
As constructed above.
5 Construct a 3 × 4 matrix, whose elements are given by: (i) a ij = 2 1 ∣ − 3 i + j ∣ (ii) a ij = 2 i − j
Solution
(i) Row 1 (i = 1 ): 2 1 ∣ − 2 ∣ = 1 , 2 1 ∣ − 1 ∣ = 2 1 , 0 , 2 1 . Row 2: 2 5 , 2 , 2 3 , 1 . Row 3: 4 , 2 7 , 3 , 2 5 .
A = 1 2 5 4 2 1 2 2 7 0 2 3 3 2 1 1 2 5
(ii)
A = 1 3 5 0 2 4 − 1 1 3 − 2 0 2
As constructed above.
6 Find the values of x, y and z from the following equations: (i)
[ 4 x 3 5 ] = [ y 1 z 5 ] (ii)
[ x + y 5 + z 2 x y ] = [ 6 5 2 8 ] (iii)
x + y + z x + z y + z = 9 5 7 Solution
(i) Equating entries: x = 1 , y = 4 , z = 3 .
(ii) 5 + z = 5 ⇒ z = 0 ; x + y = 6 and x y = 8 , so x , y are roots of t 2 − 6 t + 8 = 0 : t = 2 , 4 . So x = 2 , y = 4 or x = 4 , y = 2 .
(iii) x + y + z = 9 , x + z = 5 , y + z = 7 . Then y = 9 − 5 = 4 , x = 9 − 7 = 2 , z = 5 − 2 = 3 .
(i) x = 1, y = 4, z = 3. (ii) z = 0 and (x, y) = (2, 4) or (4, 2). (iii) x = 2, y = 4, z = 3.
7 Find the value of a, b, c and d from the equation: [ a − b 2 a − b 2 a + c 3 c + d ] = [ − 1 0 5 13 ]
Solution
a − b = − 1 and 2 a − b = 0 . Subtracting: a = 1 , then b = 2 .
2 a + c = 5 ⇒ c = 3 ; 3 c + d = 13 ⇒ d = 4 .
a = 1, b = 2, c = 3, d = 4.
8 A = [ a ij ] m × n is a square matrix, if (A) m < n (B) m > n (C) m = n (D) None of these
Solution
A square matrix has as many rows as columns.
(C)
9 Which of the given values of x and y make the following pair of matrices equal: [ 3 x + 7 y + 1 5 2 − 3 x ] , [ 0 8 y − 2 4 ] (A) x = − 3 1 , y = 7 (B) Not possible to find (C) y = 7 , x = − 3 2 (D) x = − 3 1 , y = − 3 2
Solution
3 x + 7 = 0 ⇒ x = − 3 7 , but 2 − 3 x = 4 ⇒ x = − 3 2 . The two values of x contradict each other, so the matrices cannot be made equal.
(B)
10 The number of all possible matrices of order 3 × 3 with each entry 0 or 1 is: (A) 27 (B) 18 (C) 81 (D) 512
Solution
There are 9 entries, each with 2 choices: 2 9 = 512 .
(D)
Exercise 3.2
1 Let A = [ 2 3 4 2 ] , B = [ 1 − 2 3 5 ] , C = [ − 2 3 5 4 ] . Find each of the following: (i) A + B (ii) A − B (iii) 3A − C (iv) AB (v) BA
Solution
(i) A + B = [ 3 1 7 7 ]
(ii) A − B = [ 1 5 1 − 3 ]
(iii) 3 A − C = [ 6 9 12 6 ] − [ − 2 3 5 4 ] = [ 8 6 7 2 ]
(iv) A B = [ 2 − 8 3 − 4 6 + 20 9 + 10 ] = [ − 6 − 1 26 19 ]
(v) B A = [ 2 + 9 − 4 + 15 4 + 6 − 8 + 10 ] = [ 11 11 10 2 ]
As computed above (note AB ≠ BA).
2 Compute the following: (i)
[ a − b b a ] + [ a b b a ] (ii)
[ a 2 + b 2 a 2 + c 2 b 2 + c 2 a 2 + b 2 ] + [ 2 ab − 2 a c 2 b c − 2 ab ] (iii)
− 1 8 2 4 5 8 − 6 16 5 + 12 8 3 7 0 2 6 5 4 (iv)
[ cos 2 x sin 2 x sin 2 x cos 2 x ] + [ sin 2 x cos 2 x cos 2 x sin 2 x ] Solution
(i) [ 2 a 0 2 b 2 a ]
(ii) [ ( a + b ) 2 ( a − c ) 2 ( b + c ) 2 ( a − b ) 2 ]
(iii) 11 16 5 11 5 10 0 21 9
(iv) Each entry is sin 2 x + cos 2 x = 1 : [ 1 1 1 1 ]
As computed above.
3 Compute the indicated products. (i)
[ a − b b a ] [ a b − b a ] (ii)
1 2 3 [ 2 3 4 ] (iii)
[ 1 2 − 2 3 ] [ 1 2 2 3 3 1 ] (iv)
2 3 4 3 4 5 4 5 6 1 0 3 − 3 2 0 5 4 5 (v)
2 3 − 1 1 2 1 [ 1 − 1 0 2 1 1 ] (vi)
[ 3 − 1 − 1 0 3 2 ] 2 1 3 − 3 0 1 Solution
(i) [ a 2 + b 2 − ab + ab − ab + ab b 2 + a 2 ] = [ a 2 + b 2 0 0 a 2 + b 2 ]
(ii) 2 4 6 3 6 9 4 8 12
(iii) [ 1 − 4 2 + 6 2 − 6 4 + 9 3 − 2 6 + 3 ] = [ − 3 8 − 4 13 1 9 ]
(iv) For example, row 1 × column 1: 2 + 0 + 12 = 14 . In full:
14 18 22 0 − 1 − 2 42 56 70
(v) 2 − 1 3 − 2 − 1 − 1 0 + 2 0 + 4 0 + 2 2 + 1 3 + 2 − 1 + 1 = 1 1 − 2 2 4 2 3 5 0
(vi) [ 6 − 1 + 9 − 2 + 0 + 6 − 9 + 0 + 3 3 + 0 + 2 ] = [ 14 4 − 6 5 ]
As computed above.
4 If
A = 1 5 1 2 0 − 1 − 3 2 1 ,
B = 3 4 2 − 1 2 0 2 5 3 and
C = 4 0 1 1 3 − 2 2 2 3 , then compute (A + B) and (B − C). Also, verify that A + (B − C) = (A + B) − C.
Solution
A + B = 4 9 3 1 2 − 1 − 1 7 4 , B − C = − 1 4 1 − 2 − 1 2 0 3 0
A + ( B − C ) = 0 9 2 0 − 1 1 − 3 5 1 = ( A + B ) − C
Both sides equal 0 9 2 0 − 1 1 − 3 5 1 .
5 If
A = 3 2 3 1 3 7 1 3 2 2 3 5 3 4 3 2 and
B = 5 2 5 1 5 7 5 3 5 2 5 6 1 5 4 5 2 , then compute 3A − 5B.
Solution
3 A = 2 1 7 3 2 6 5 4 2 , 5 B = 2 1 7 3 2 6 5 4 2
3 A − 5 B = 0 0 0 0 0 0 0 0 0
The zero matrix O.
6 Simplify cos θ [ cos θ − sin θ sin θ cos θ ] + sin θ [ sin θ cos θ − cos θ sin θ ]
Solution
[ cos 2 θ + sin 2 θ − sin θ cos θ + sin θ cos θ cos θ sin θ − sin θ cos θ cos 2 θ + sin 2 θ ] = [ 1 0 0 1 ]
The identity matrix I.
7 Find X and Y, if (i) X + Y = [ 7 2 0 5 ] and X − Y = [ 3 0 0 3 ] (ii) 2 X + 3 Y = [ 2 4 3 0 ] and 3 X + 2 Y = [ 2 − 1 − 2 5 ]
Solution
(i) Adding: 2 X = [ 10 2 0 8 ] , so X = [ 5 1 0 4 ] . Then Y = ( X + Y ) − X = [ 2 1 0 1 ] .
(ii) Let P = 2 X + 3 Y , Q = 3 X + 2 Y . Then 3 P − 2 Q = 5 Y and 3 Q − 2 P = 5 X :
Y = 5 1 ( [ 6 12 9 0 ] − [ 4 − 2 − 4 10 ] ) = [ 5 2 5 14 5 13 − 2 ]
X = 5 1 ( [ 6 − 3 − 6 15 ] − [ 4 8 6 0 ] ) = [ 5 2 − 5 11 − 5 12 3 ]
(i) X = [ 5 1 0 4 ] , Y = [ 2 1 0 1 ] . (ii) X = [ 5 2 − 5 11 − 5 12 3 ] , Y = [ 5 2 5 14 5 13 − 2 ] .
8 Find X, if Y = [ 3 1 2 4 ] and 2 X + Y = [ 1 − 3 0 2 ] .
Solution
2 X = [ 1 − 3 0 2 ] − [ 3 1 2 4 ] = [ − 2 − 4 − 2 − 2 ] ⇒ X = [ − 1 − 2 − 1 − 1 ]
X = [ − 1 − 2 − 1 − 1 ]
9 Find x and y, if 2 [ 1 0 3 x ] + [ y 1 0 2 ] = [ 5 1 6 8 ] .
Solution
[ 2 + y 1 6 2 x + 2 ] = [ 5 1 6 8 ] , so y = 3 and 2 x + 2 = 8 ⇒ x = 3 .
x = 3, y = 3.
10 Solve the equation for x, y, z and t, if 2 [ x y z t ] + 3 [ 1 0 − 1 2 ] = 3 [ 3 4 5 6 ] .
Solution
[ 2 x + 3 2 y 2 z − 3 2 t + 6 ] = [ 9 12 15 18 ]
x = 3 , z = 9 , y = 6 , t = 6 .
x = 3, y = 6, z = 9, t = 6.
11 If x [ 2 3 ] + y [ − 1 1 ] = [ 10 5 ] , find the values of x and y.
Solution
2 x − y = 10 and 3 x + y = 5 . Adding: 5 x = 15 , so x = 3 and y = 5 − 9 = − 4 .
x = 3, y = −4.
12 Given 3 [ x z y w ] = [ x − 1 6 2 w ] + [ 4 z + w x + y 3 ] , find the values of x, y, z and w.
Solution
[ 3 x 3 z 3 y 3 w ] = [ x + 4 − 1 + z + w 6 + x + y 2 w + 3 ]
3 x = x + 4 ⇒ x = 2 3 w = 2 w + 3 ⇒ w = 3 3 y = 6 + x + y ⇒ 2 y = 8 ⇒ y = 4 3 z = − 1 + z + w ⇒ 2 z = 2 ⇒ z = 1
x = 2, y = 4, z = 1, w = 3.
13 If
F ( x ) = cos x sin x 0 − sin x cos x 0 0 0 1 , show that
F ( x ) F ( y ) = F ( x + y ) .
Solution
F ( x ) F ( y ) = cos x cos y − sin x sin y sin x cos y + cos x sin y 0 − cos x sin y − sin x cos y − sin x sin y + cos x cos y 0 0 0 1
= cos ( x + y ) sin ( x + y ) 0 − sin ( x + y ) cos ( x + y ) 0 0 0 1 = F ( x + y )
Multiplying and using the addition formulas gives F(x + y).
14 Show that (i)
[ 5 6 − 1 7 ] [ 2 3 1 4 ] = [ 2 3 1 4 ] [ 5 6 − 1 7 ] (ii)
1 0 1 2 1 1 3 0 0 − 1 0 2 1 − 1 3 0 1 4 = − 1 0 2 1 − 1 3 0 1 4 1 0 1 2 1 1 3 0 0 Solution
(i) LHS = [ 10 − 3 12 + 21 5 − 4 6 + 28 ] = [ 7 33 1 34 ] ; RHS = [ 10 + 6 15 + 24 − 2 + 7 − 3 + 28 ] = [ 16 39 5 25 ] . They differ.
(ii) LHS = 5 0 − 1 8 − 1 0 14 1 1 ; RHS = − 1 1 6 − 1 0 11 − 3 0 6 . They differ.
The products differ in each case, so matrix multiplication is not commutative.
15 Find
A 2 − 5 A + 6 I , if
A = 2 2 1 0 1 − 1 1 3 0 .
Solution
A 2 = 5 9 0 − 1 − 2 − 1 2 5 − 2 , 5 A = 10 10 5 0 5 − 5 5 15 0 , 6 I = 6 0 0 0 6 0 0 0 6
A 2 − 5 A + 6 I = 1 − 1 − 5 − 1 − 1 4 − 3 − 10 4
1 − 1 − 5 − 1 − 1 4 − 3 − 10 4
16 If
A = 1 0 2 0 2 0 2 1 3 , prove that
A 3 − 6 A 2 + 7 A + 2 I = 0 .
Solution
A 2 = 5 2 8 0 4 0 8 5 13 , A 3 = A 2 A = 21 12 34 0 8 0 34 23 55
A 3 − 6 A 2 + 7 A + 2 I = 21 − 30 + 7 + 2 12 − 12 + 0 34 − 48 + 14 0 8 − 24 + 14 + 2 0 34 − 48 + 14 23 − 30 + 7 55 − 78 + 21 + 2 = O
Every entry works out to 0, so A 3 − 6 A 2 + 7 A + 2 I = O .
17 If A = [ 3 4 − 2 − 2 ] and I = [ 1 0 0 1 ] , find k so that A 2 = k A − 2 I .
Solution
A 2 = [ 9 − 8 12 − 8 − 6 + 4 − 8 + 4 ] = [ 1 4 − 2 − 4 ] , k A − 2 I = [ 3 k − 2 4 k − 2 k − 2 k − 2 ]
3 k − 2 = 1 ⇒ k = 1 ; check: − 2 k = − 2 , 4 k = 4 , − 2 k − 2 = − 4 ✔.
k = 1
18 If A = [ 0 tan 2 α − tan 2 α 0 ] and I is the identity matrix of order 2, show that I + A = ( I − A ) [ cos α sin α − sin α cos α ] .
Solution
Let t = tan 2 α , so cos α = 1 + t 2 1 − t 2 and sin α = 1 + t 2 2 t . Then
I + A = [ 1 t − t 1 ] , I − A = [ 1 − t t 1 ]
( I − A ) [ cos α sin α − sin α cos α ] = [ cos α + t sin α − t cos α + sin α − sin α + t cos α t sin α + cos α ]
cos α + t sin α = 1 + t 2 1 − t 2 + 2 t 2 = 1 − sin α + t cos α = 1 + t 2 − 2 t + t − t 3 = 1 + t 2 − t ( 1 + t 2 ) = − t sin α − t cos α = t (similarly), and the last entry is 1.
So the product is [ 1 t − t 1 ] = I + A .
Writing cos α and sin α in terms of t = tan 2 α , the product equals I + A.
Revise Chapter 3 faster Class 12 Mathematics notes: short explanations, diagrams, important questions with answers.
Free sample
19 A trust fund has ₹30,000 that must be invested in two different types of bonds. The first bond pays 5% interest per year, and the second bond pays 7% interest per year. Using matrix multiplication, determine how to divide ₹30,000 among the two types of bonds. If the trust fund must obtain an annual total interest of: (a) ₹1800 (b) ₹2000
Solution
Let ₹x go into the first bond and ₹(30000 − x) into the second. Interest:
[ x 30000 − x ] [ 0.05 0.07 ] = 0.05 x + 0.07 ( 30000 − x ) = 2100 − 0.02 x
(a) 2100 − 0.02 x = 1800 ⇒ x = 15000 : ₹15,000 in each bond.
(b) 2100 − 0.02 x = 2000 ⇒ x = 5000 : ₹5,000 in the first bond and ₹25,000 in the second.
(a) ₹15,000 and ₹15,000. (b) ₹5,000 (5%) and ₹25,000 (7%).
20 The bookshop of a particular school has 10 dozen chemistry books, 8 dozen physics books, 10 dozen economics books. Their selling prices are ₹80, ₹60 and ₹40 each respectively. Find the total amount the bookshop will receive from selling all the books using matrix algebra.
Solution
Numbers of books: 120, 96, 120.
[ 120 96 120 ] 80 60 40 = 9600 + 5760 + 4800 = 20160
₹20,160
21 Assume X, Y, Z, W and P are matrices of order 2 × n, 3 × k, 2 × p, n × 3 and p × k, respectively. The restriction on n, k and p so that PY + WY will be defined are: (A) k = 3, p = n (B) k is arbitrary, p = 2 (C) p is arbitrary, k = 3 (D) k = 2, p = 3
Solution
PY needs the columns of P (k) to equal the rows of Y (3): k = 3 , giving order p × k . WY (n × 3 times 3 × k ) has order n × k . For the sum, p × k = n × k , so p = n .
(A)
22 If n = p, then the order of the matrix 7X − 5Z is: (A) p × 2 (B) 2 × n (C) n × 3 (D) p × n
Solution
X is 2 × n and Z is 2 × p = 2 × n , so 7 X − 5 Z is 2 × n .
(B)
Exercise 3.3
1 Find the transpose of each of the following matrices: (i)
5 2 1 − 1 (ii)
[ 1 2 − 1 3 ] (iii)
− 1 3 2 5 5 3 6 6 − 1 Solution
(i) [ 5 2 1 − 1 ] (ii) [ 1 − 1 2 3 ] (iii) − 1 5 6 3 5 6 2 3 − 1
Rows become columns, as shown.
2 If
A = − 1 5 − 2 2 7 1 3 9 1 and
B = − 4 1 1 1 2 3 − 5 0 1 , then verify that (i)
( A + B ) ′ = A ′ + B ′ (ii)
( A − B ) ′ = A ′ − B ′ Solution
A ′ = − 1 2 3 5 7 9 − 2 1 1 , B ′ = − 4 1 − 5 1 2 0 1 3 1
(i) A + B = − 5 6 − 1 3 9 4 − 2 9 2 , so ( A + B ) ′ = − 5 3 − 2 6 9 9 − 1 4 2 = A ′ + B ′ .
(ii) A − B = 3 4 − 3 1 5 − 2 8 9 0 , so ( A − B ) ′ = 3 1 8 4 5 9 − 3 − 2 0 = A ′ − B ′ .
Both identities hold (computed above).
3 If
A ′ = 3 − 1 0 4 2 1 and
B = [ − 1 1 2 2 1 3 ] , then verify that (i)
( A + B ) ′ = A ′ + B ′ (ii)
( A − B ) ′ = A ′ − B ′ Solution
A = [ 3 4 − 1 2 0 1 ] and B ′ = − 1 2 1 1 2 3 .
(i) A + B = [ 2 5 1 4 1 4 ] , ( A + B ) ′ = 2 1 1 5 4 4 = A ′ + B ′ .
(ii) A − B = [ 4 3 − 3 0 − 1 − 2 ] , ( A − B ) ′ = 4 − 3 − 1 3 0 − 2 = A ′ − B ′ .
Both identities hold (computed above).
4 If A ′ = [ − 2 1 3 2 ] and B = [ − 1 1 0 2 ] , then find ( A + 2 B ) ′ .
Solution
A = [ − 2 3 1 2 ] ; A + 2 B = [ − 4 5 1 6 ] ; so ( A + 2 B ) ′ = [ − 4 1 5 6 ] .
[ − 4 1 5 6 ]
5 For the matrices A and B, verify that (AB)′ = B′A′, where (i)
A = 1 − 4 3 ,
B = [ − 1 2 1 ] (ii)
A = 0 1 2 ,
B = [ 1 5 7 ] Solution
(i) A B = − 1 4 − 3 2 − 8 6 1 − 4 3 , so ( A B ) ′ = − 1 2 1 4 − 8 − 4 − 3 6 3 . And B ′ A ′ = − 1 2 1 [ 1 − 4 3 ] = − 1 2 1 4 − 8 − 4 − 3 6 3 . Equal.
(ii) A B = 0 1 2 0 5 10 0 7 14 , so ( A B ) ′ = 0 0 0 1 5 7 2 10 14 . And B ′ A ′ = 1 5 7 [ 0 1 2 ] = 0 0 0 1 5 7 2 10 14 . Equal.
In both cases (AB)′ and B′A′ are the same matrix.
6 (i) If A = [ cos α − sin α sin α cos α ] , then verify that A ′ A = I . (ii) If A = [ sin α − cos α cos α sin α ] , then verify that A ′ A = I .
Solution
(i) A ′ A = [ cos α sin α − sin α cos α ] [ cos α − sin α sin α cos α ] = [ cos 2 α + sin 2 α sin α cos α − cos α sin α cos α sin α − sin α cos α sin 2 α + cos 2 α ] = I
(ii) A ′ A = [ sin α cos α − cos α sin α ] [ sin α − cos α cos α sin α ] = [ sin 2 α + cos 2 α cos α sin α − sin α cos α sin α cos α − cos α sin α cos 2 α + sin 2 α ] = I
In both cases A′A works out to I.
7 (i) Show that the matrix
A = 1 − 1 5 − 1 2 1 5 1 3 is a symmetric matrix. (ii) Show that the matrix
A = 0 − 1 1 1 0 − 1 − 1 1 0 is a skew symmetric matrix.
Solution
(i) A ′ = 1 − 1 5 − 1 2 1 5 1 3 = A : symmetric.
(ii) A ′ = 0 1 − 1 − 1 0 1 1 − 1 0 = − A : skew symmetric.
(i) A′ = A. (ii) A′ = −A.
8 For the matrix A = [ 1 6 5 7 ] , verify that (i) (A + A′) is a symmetric matrix (ii) (A − A′) is a skew symmetric matrix.
Solution
A ′ = [ 1 5 6 7 ] .
(i) A + A ′ = [ 2 11 11 14 ] , which equals its transpose: symmetric.
(ii) A − A ′ = [ 0 1 − 1 0 ] , whose transpose is [ 0 − 1 1 0 ] = − ( A − A ′ ) : skew symmetric.
A + A′ is symmetric and A − A′ is skew symmetric.
9 Find
2 1 ( A + A ′ ) and
2 1 ( A − A ′ ) , when
A = 0 − a − b a 0 − c b c 0 .
Solution
A ′ = 0 a b − a 0 c − b − c 0 = − A .
2 1 ( A + A ′ ) = O ( the 3 × 3 zero matrix ) , 2 1 ( A − A ′ ) = 2 1 ( 2 A ) = A = 0 − a − b a 0 − c b c 0
½(A + A′) = O and ½(A − A′) = A.
10 Express the following matrices as the sum of a symmetric and a skew symmetric matrix: (i)
[ 3 1 5 − 1 ] (ii)
6 − 2 2 − 2 3 − 1 2 − 1 3 (iii)
3 − 2 − 4 3 − 2 − 5 − 1 1 2 (iv)
[ 1 − 1 5 2 ] Solution
Use P = 2 1 ( A + A ′ ) (symmetric) and Q = 2 1 ( A − A ′ ) (skew symmetric), with A = P + Q .
(i) P = [ 3 3 3 − 1 ] , Q = [ 0 − 2 2 0 ] .
(ii) A is already symmetric: P = A , Q = O .
(iii) A ′ = 3 3 − 1 − 2 − 2 1 − 4 − 5 2 :
P = 3 2 1 − 2 5 2 1 − 2 − 2 − 2 5 − 2 2 , Q = 0 − 2 5 − 2 3 2 5 0 − 3 2 3 3 0
(iv) P = [ 1 2 2 2 ] , Q = [ 0 − 3 3 0 ] .
A = P + Q with P and Q as above in each case.
11 If A, B are symmetric matrices of same order, then AB − BA is a (A) Skew symmetric matrix (B) Symmetric matrix (C) Zero matrix (D) Identity matrix
Solution
( A B − B A ) ′ = B ′ A ′ − A ′ B ′ = B A − A B = − ( A B − B A ) .
(A)
12 If A = [ cos α sin α − sin α cos α ] , and A + A ′ = I , then the value of α is (A) 6 π (B) 3 π (C) π (D) 2 3 π
Solution
A + A ′ = [ 2 cos α 0 0 2 cos α ] = I ⇒ cos α = 2 1 ⇒ α = 3 π .
(B)
Exercise 3.4
1 Matrices A and B will be inverse of each other only if (A) AB = BA (B) AB = BA = 0 (C) AB = 0, BA = I (D) AB = BA = I
Solution
By definition, B is the inverse of A if AB = BA = I.
(D)
Miscellaneous Exercise on Chapter 3
1 If A and B are symmetric matrices, prove that AB − BA is a skew symmetric matrix.
Solution
A ′ = A and B ′ = B . Then
( A B − B A ) ′ = ( A B ) ′ − ( B A ) ′ = B ′ A ′ − A ′ B ′ = B A − A B = − ( A B − B A )
So AB − BA is skew symmetric.
(AB − BA)′ = −(AB − BA).
2 Show that the matrix B′AB is symmetric or skew symmetric according as A is symmetric or skew symmetric.
Solution
( B ′ A B ) ′ = B ′ A ′ ( B ′ ) ′ = B ′ A ′ B .
If A is symmetric (A ′ = A ): ( B ′ A B ) ′ = B ′ A B , so B′AB is symmetric. If A is skew symmetric (A ′ = − A ): ( B ′ A B ) ′ = − B ′ A B , so B′AB is skew symmetric.
(B′AB)′ = B′A′B, which equals ±B′AB as A′ = ±A.
3 Find the values of x, y, z if the matrix
A = 0 x x 2 y y − y z − z z satisfy the equation
A ′ A = I .
Solution
A ′ A = 0 2 y z x y − z x − y z 0 x x 2 y y − y z − z z = 2 x 2 0 0 0 6 y 2 0 0 0 3 z 2
Setting this equal to I: 2 x 2 = 1 , 6 y 2 = 1 , 3 z 2 = 1 .
x = ± 2 1 , y = ± 6 1 , z = ± 3 1 .
4 For what values of x:
[ 1 2 1 ] 1 2 1 2 0 0 0 1 2 0 2 x = O ?
Solution
[ 1 2 1 ] 1 2 1 2 0 0 0 1 2 = [ 6 2 4 ] ; then [ 6 2 4 ] 0 2 x = 4 + 4 x = 0 .
x = −1
5 If A = [ 3 − 1 1 2 ] , show that A 2 − 5 A + 7 I = 0 .
Solution
A 2 = [ 9 − 1 − 3 − 2 3 + 2 − 1 + 4 ] = [ 8 − 5 5 3 ]
A 2 − 5 A + 7 I = [ 8 − 15 + 7 − 5 + 5 5 − 5 3 − 10 + 7 ] = [ 0 0 0 0 ]
Every entry is 0.
6 Find x, if
[ x − 5 − 1 ] 1 0 2 0 2 0 2 1 3 x 4 1 = O Solution
[ x − 5 − 1 ] 1 0 2 0 2 0 2 1 3 = [ x − 2 − 10 2 x − 8 ]
Then x ( x − 2 ) − 40 + 2 x − 8 = x 2 − 48 = 0 .
x = ± 4 3
7 A manufacturer produces three products x, y, z which he sells in two markets. Annual sales are: Market I: 10,000, 2,000, 18,000; Market II: 6,000, 20,000, 8,000. (a) If unit sale prices of x, y and z are ₹2.50, ₹1.50 and ₹1.00, respectively, find the total revenue in each market with the help of matrix algebra. (b) If the unit costs of the above three commodities are ₹2.00, ₹1.00 and 50 paise respectively. Find the gross profit.
Solution
(a)
[ 10000 6000 2000 20000 18000 8000 ] 2.50 1.50 1.00 = [ 25000 + 3000 + 18000 15000 + 30000 + 8000 ] = [ 46000 53000 ]
Revenue: Market I ₹46,000, Market II ₹53,000.
(b) Cost:
[ 10000 6000 2000 20000 18000 8000 ] 2.00 1.00 0.50 = [ 31000 36000 ]
Profit: Market I 46000 − 31000 = 15000 ; Market II 53000 − 36000 = 17000 . Gross profit = ₹32,000.
(a) ₹46,000 and ₹53,000. (b) Profits ₹15,000 and ₹17,000: gross profit ₹32,000.
8 Find the matrix X so that X [ 1 4 2 5 3 6 ] = [ − 7 2 − 8 4 − 9 6 ]
Solution
X must be 2 × 2 ; let X = [ a c b d ] . Then
[ a + 4 b c + 4 d 2 a + 5 b 2 c + 5 d 3 a + 6 b 3 c + 6 d ] = [ − 7 2 − 8 4 − 9 6 ]
From a + 4 b = − 7 and 2 a + 5 b = − 8 : b = − 2 , a = 1 (check: 3 − 12 = − 9 ✔).
From c + 4 d = 2 and 2 c + 5 d = 4 : d = 0 , c = 2 (check: 6 + 0 = 6 ✔).
X = [ 1 2 − 2 0 ]
9 If A = [ α γ β − α ] is such that A 2 = I , then (A) 1 + α 2 + β γ = 0 (B) 1 − α 2 + β γ = 0 (C) 1 − α 2 − β γ = 0 (D) 1 + α 2 − β γ = 0
Solution
A 2 = [ α 2 + β γ γ α − α γ α β − α β β γ + α 2 ] = [ α 2 + β γ 0 0 α 2 + β γ ] = I
So α 2 + β γ = 1 , i.e. 1 − α 2 − β γ = 0 .
(C)
10 If the matrix A is both symmetric and skew symmetric, then (A) A is a diagonal matrix (B) A is a zero matrix (C) A is a square matrix (D) None of these
Solution
A ′ = A and A ′ = − A give A = − A , so 2 A = O and A = O .
(B)
11 If A is square matrix such that A 2 = A , then ( I + A ) 3 − 7 A is equal to (A) A (B) I − A (C) I (D) 3A
Solution
Since A 2 = A , also A 3 = A . And I commutes with A:
( I + A ) 3 = I + 3 A + 3 A 2 + A 3 = I + 3 A + 3 A + A = I + 7 A
So ( I + A ) 3 − 7 A = I .
(C)
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