RD Sharma materials are considered the gold standard for CBSE maths. This is because they are some of the most informative, detailed, and widely used material. Before RD Sharma materials, many students and teachers had clear concepts and helped understand the subject from a basic level.
Also Read - RD Sharma Solution for Class 9 to 12 Maths
RD Sharma Class 12 Solutions Chapter6 Adjoint & Inverse of Matrix - Other Exercise Adjoint and Inverse of a Matrix Exercise 6.1 Question 1 (i)
Answer: A d j ( A ) = [ 4 − 2 − 5 − 3 ] Hint: Here, we use basic concept of adjoint of matrix .
Given: A d j A = [ − 3 5 2 4 ] Solution: A = [ − 3 5 2 4 ] | A | = − 3 × 4 − 5 × 2 = − 12 − 10 = − 22 C 11 = 4 , C 12 = − 2 , C 21 = − 5 , C 22 = − 3 C i j = [ 4 − 2 − 5 − 3 ] Taking transpose,
Adj ( A ) = [ 4 − 5 − 2 − 3 ] Adj ( A ) × A = [ 4 − 5 − 2 − 3 ] [ − 3 5 2 4 ] = [ − 12 + ( − 10 ) 20 − 20 6 − 6 − 10 − 12 ] = [ − 22 0 0 − 22 ] (1)
| A | I = − 22 [ 1 0 0 1 ] = [ − 22 0 0 − 22 ] (2)
A ( Adj ( A ) ) = [ − 3 5 2 4 ] [ 4 − 5 − 2 − 3 ] = [ − 22 0 0 − 22 ] (3)
From equation (1), (2) and (3)
A ( Adj ( A ) ) = | A | I = Adj ( A ) × A Adjoint and Inverse of a Matrix Exercise 6.1 Question 1 (ii)
Answer: Adj ( A ) = [ d − b − c a ] Hint: Here, we use basic concept of adjoint of matrix.
Given: A = [ a b c d ] Solution: Let
A = [ a b c d ] | A | = | a b c d | | A | = a × d − c × b | A | = a d − c b Let’s find cofactor
C 11 = d , C 12 = − c , C 21 = − b , C 22 = a C i j = [ d − c − b a ] Let’s transpose
C i j Adj ( A ) = [ d − b − c a ] Let’s prove this below
Adj ( A ) × A = | A | I = A × A d j ( A ) Adj ( A ) × A = [ d − b − c a ] × [ a b c d ] = [ d a + ( − b c ) d b − b d − c a + a c − c b + a d ] Adj ( A ) × A = [ d a − b c 0 0 d a − b c ] (1)
MHS
| A | I = a d − c b [ 1 0 0 1 ] = [ a d − c b 0 0 a d − c b ] = [ d a − b c 0 0 a d − c b ] (2)
RHS
A × A d j ( A ) = [ a b c d ] × [ d − b − c a ] = [ a d − b c 0 0 d a − b c ] (3)
From equation (1), (2) and (3)
Adj ( A ) × A = | A | I = A × A d j ( A ) Adjoint and Inverse of a Matrix Exercise 6.1 Question 1 (iii)
Answer: [ cos α − sin α − sin α cos α ] Hint: Here, we use basic concept of determinant.
Given: A = [ cos α sin α sin α cos α ] Solution: Let’s find
| A | | A | = cos 2 α − sin 2 α = cos 2 α Let’s find cofactor
C 11 = cos α , C 12 = − sin α , C 21 = − sin α , C 22 = cos α C i j = [ cos α − sin α − sin α cos α ] Let’s transpose
C i j A d j ( A ) = [ cos α − sin α − sin α cos α ] Let’s prove below
Adj ( A ) × A = | A | × A = A × Adj ( A ) Adj ( A ) × A = [ cos α − sin α − sin α cos α ] × [ cos α sin α sin α cos α ] = [ cos 2 α − sin 2 α cos α sin α − cos α sin α − sin α cos α + cos α sin α cos 2 α − sin 2 α ] = [ cos 2 α 0 0 cos 2 α ] (1)
| A | I = cos 2 α × [ 1 0 0 1 ] = [ cos 2 α 0 0 cos 2 α ] (2)
A × Adj ( A ) = [ cos α sin α sin α cos α ] × [ cos α − sin α − sin α cos α ] = [ cos 2 α − sin 2 α 0 0 cos 2 α − sin 2 α ] = [ cos 2 α 0 0 cos 2 α ] (3)
From equation (1), (2) and (3)
A × Adj ( A ) = | A | I = Adj ( A ) × A Adjoint and Inverse of a Matrix exercise 6.1 question 1 (iv)
Answer: A d j ( A ) = | 1 tan α 2 − tan α 2 1 | Hint: Here, we use basic concept of determinant.
Given: A = | 1 tan α 2 − tan α 2 1 | Solution: Let’s find
| A | | A | = | 1 tan α 2 − tan α 2 1 | | A | = 1 − [ ( − tan α 2 ) ( tan α 2 ) ] | A | = 1 + tan 2 α 2 | A | = sec 2 α 2 Let’s find cofactor
C 11 = 1 , C 12 = tan α 2 , C 21 = − tan α 2 , C 22 = 1 C i j = [ 1 tan α 2 − tan α 2 1 ] Take transpose of
C i j Adj ( A ) = [ 1 − tan α 2 tan α 2 1 ] Let’s prove below
Adj ( A ) × A = | A | I = A × Adj ( A ) Adj ( A ) × A = [ 1 − tan α 2 tan α 2 1 ] × [ 1 tan α 2 − tan α 2 1 ] = [ 1 + tan 2 α 2 tan α 2 − tan α 2 tan α 2 − tan α 2 1 + tan 2 α 2 ] = [ sec 2 α 2 0 0 sec 2 α 2 ] (1)
| A | I = sec 2 α 2 × [ 1 0 0 1 ] = [ sec 2 α 2 0 0 sec 2 α 2 ] (2)
A × A d j ( A ) = [ 1 tan α 2 − tan α 2 1 ] × [ 1 − tan α 2 tan α 2 1 ] = [ 1 + tan 2 α 2 0 0 1 + tan 2 α 2 ] = [ sec 2 α 2 0 0 sec 2 α 2 ] (3)
From equation (1), (2) and 3
Adj ( A ) × A = | A | × I = A × Adj ( A ) Hence proved
Adjoint and Inverse of a Matrix exercise 6.1 question 2 (i)
Answer: Adj ( A ) = [ − 3 2 2 2 − 3 2 2 2 − 3 ] Hint: Here, we use basic concept of adjoint of matrix.
Given: A = [ 1 2 2 2 1 2 2 2 1 ] Solution: Let’s find
| A | | A | = 1 | 1 2 2 1 | − 2 | 2 2 2 1 | + 2 | 2 1 2 2 | = 1 ( 1 − 4 ) − 2 ( 2 − 4 ) + 2 ( 4 − 2 ) = ( − 3 ) + 4 + 4 = 5 Let’s find cofactors
C 11 = + ( 1 − 4 ) = − 3 C 12 = − ( 2 − 4 ) = 2 C 13 = + ( 4 − 2 ) = 2 C 21 = − ( 2 − 4 ) = 2 C 22 = + ( 1 − 4 ) = − 3 C 23 = − ( 2 − 4 ) = 2 C 31 = + ( 4 − 2 ) = 2 C 32 = − ( 2 − 4 ) = 2 C 33 = + ( 1 − 4 ) = − 3 C i j = [ − 3 2 2 2 − 3 2 2 2 − 3 ] Let’s transpose it
Adj ( A ) = [ − 3 2 2 2 − 3 2 2 2 − 3 ] Let’s verify below
Adj ( A ) × A = | A | I = A × Adj ( A ) Adj ( A ) × A = [ − 3 2 2 2 − 3 2 2 2 − 3 ] × [ 1 2 2 2 1 2 2 2 1 ] = [ − 3 + 4 + 4 0 0 0 4 − 3 + 4 0 0 0 4 + 4 − 3 ] = [ 5 0 0 0 5 0 0 0 5 ] (1)
| A | I = 5 × [ 1 0 0 0 1 0 0 0 1 ] = [ 5 0 0 0 5 0 0 0 5 ] (2)
A × Adj ( A ) = [ 1 2 2 2 1 2 2 2 1 ] × [ − 3 2 2 2 − 3 2 2 2 − 3 ] = [ − 3 + 4 + 4 0 0 0 − 3 + 4 + 4 0 0 0 − 3 + 4 + 4 ] = [ 5 0 0 0 5 0 0 0 5 ] (3)
From equation (1), (2) and (3)
A × A d j ( A ) = | A | I = Adj ( A ) × A Adjoint and Inverse of a Matrix exercise 6.1 question 2 (ii)
Answer: Adj ( A ) = [ 2 3 − 13 − 3 6 9 5 − 3 − 1 ] Hint: Here, we use basic concept of adjoint of matrix.
Given: A = [ 1 2 5 2 3 1 − 1 1 1 ] Solution: Let’s find
| A | | A | = 1 | 3 1 1 1 | − 2 | 2 1 − 1 1 | + 5 | 2 3 − 1 1 | = 1 ( 3 − 1 ) − 2 ( 2 + 1 ) + 5 ( 2 + 3 ) = 2 − 6 + 25 = 21 Let’s find cofactors
C 11 = + ( 3 − 1 ) = 2 C 12 = − ( 2 + 1 ) = − 3 C 13 = + ( 2 + 3 ) = 5 C 21 = − ( 2 − 5 ) = 3 C 22 = + ( 1 + 6 ) = 6 C 23 = − ( 1 + 2 ) = − 3 C 31 = + ( 2 − 15 ) = − 13 C 32 = − ( 1 − 10 ) = 9 C 33 = + ( 3 − 4 ) = − 1 C i j = [ 2 − 3 5 3 6 − 3 − 13 9 − 1 ] Let’s take transpose of
C i j Adj ( A ) = [ 2 3 − 13 − 3 6 9 5 − 3 − 1 ] Let’s verify below
Adj ( A ) × A = | A | I = A × Adj ( A ) Adj ( A ) × A = [ 2 3 − 13 − 3 6 9 5 − 3 − 1 ] × [ 1 2 5 2 3 1 − 1 1 1 ] = [ 21 0 0 0 21 0 0 0 21 ] (1)
| A | I = 21 × [ 1 0 0 0 1 0 0 0 1 ] = [ 21 0 0 0 21 0 0 0 21 ] (2)
A × Adj ( A ) = [ 1 2 5 2 3 1 − 1 1 1 ] × [ 2 3 − 13 − 3 6 9 5 − 3 1 ] = [ 21 0 0 0 21 0 0 0 21 ] (3)
From equation (1), (2) and (3)
Adj ( A ) × A = | A | I = A × A d j ( A ) Adjoint and Inverse of Matrices Excercise 6.1 Question 2 (iii). Answer:
Adj ( A ) = [ − 22 11 − 11 4 − 2 2 16 − 8 8 ] Hint: Here, we use basic concept of determinant and adjoint of matrix.
Given: A = | 2 − 1 3 4 2 5 0 4 − 1 | Solution: Let’s find
| A | | A | = | 2 − 1 3 4 2 5 0 4 − 1 | | A | = 2 | 2 5 4 − 1 | − ( − 1 ) | 4 5 0 − 1 | + 3 | 4 2 0 4 | = 2 ( − 2 − 20 ) + 1 ( − 4 − 0 ) + 3 ( 16 − 0 ) = − 44 − 4 + 48 = 0 | A | = 0 Let’s find cofactor
C 11 = + ( − 2 − 20 ) = − 22 C 12 = − ( − 4 + 0 ) = 4 C 13 = + ( 16 − 0 ) = 16 C 21 = − ( 1 − 12 ) = 11 C 22 = + ( − 2 − 0 ) = − 2 C 23 = − ( − 8 − 0 ) = − 8 C 31 = + ( − 5 − 6 ) = − 11 C 32 = − ( 10 − 12 ) = 2 C 33 = + ( 4 + 4 ) = 8 C i j = [ − 22 4 16 11 − 2 − 8 − 11 2 8 ] Let’s take transpose of
C i j Adj ( A ) = [ − 22 11 − 11 4 − 2 2 16 − 8 8 ] Let’s prove this below
Adj ( A ) × A = | A | I = A × Adj ( A ) Adj ( A ) × A = [ − 22 11 − 11 4 − 2 2 16 − 8 8 ] × [ 2 − 1 3 4 2 5 0 4 − 1 ] = [ − 44 + 44 + 0 0 0 0 − 4 + ( − 4 ) + 8 0 0 0 48 − 40 − 8 ] = [ 0 0 0 0 0 0 0 0 0 ] (1)
| A | I = 0 × [ 1 0 0 0 1 0 0 0 1 ] = [ 0 0 0 0 0 0 0 0 0 ] (2)
A × Adj ( A ) = [ 2 − 1 3 4 2 5 0 4 − 1 ] × [ − 22 4 − 11 4 − 2 2 16 − 8 8 ] = [ 0 0 0 0 0 0 0 0 0 ] (3)
So, from equation (1), (2) and (3)
Adj ( A ) × A = | A | I = A × Adj ( A ) Adjoint and Inverse of Matrices Excercise 6.1 Question 2 (iv).
Answer: Adj ( A ) = [ 3 − 1 1 − 15 7 − 5 4 − 2 2 ] Hint: Here, we use basic concept of determinant and adjoint of matrix.
Given: A = [ 2 0 − 1 5 1 0 1 1 3 ] Solution: Let’s find
| A | | A | = | 2 0 − 1 5 1 0 1 1 3 | = 2 | 1 0 1 3 | − 0 | 5 0 1 3 | + ( − 1 ) | 5 1 1 1 | = 2 ( 3 ) − 0 − 1 ( 5 − 1 ) = 6 − 4 = 2 | A | = 2 Let’s find cofactor
C 11 = + ( 3 − 0 ) = 3 C 12 = − ( 15 − 0 ) = − 15 C 13 = + ( 5 − 1 ) = 4 C 21 = − ( 0 + 1 ) = − 1 C 22 = + ( 6 + 1 ) = 7 C 23 = − ( − 2 − 0 ) = − 2 C 31 = + ( 2 − 1 ) = 1 C 32 = − ( 0 + 5 ) = − 5 C 33 = + ( 2 − 0 ) = 2 C i j = [ 3 − 15 4 − 1 7 − 2 1 − 5 2 ] Let’s take the transpose of
C i j Adj ( A ) = [ 3 − 1 1 − 15 7 − 5 4 − 2 2 ] Let’s prove,
Adj ( A ) × A = | A | I = A × Adj ( A ) Adj ( A ) × A = [ 3 − 1 1 − 15 7 − 5 4 − 2 2 ] × [ 2 0 − 1 5 1 0 1 1 3 ] = [ 6 + ( − 5 ) + 1 0 0 0 0 + 7 − 5 0 0 0 − 4 + 0 + 6 ] = [ 2 0 0 0 2 0 0 0 2 ] (1)
| A | I = 2 × [ 1 0 0 0 1 0 0 0 1 ] = [ 2 0 0 0 2 0 0 0 2 ] (2)
A × Adj ( A ) = [ 2 0 − 1 5 1 0 1 1 3 ] × [ 3 − 1 1 − 15 7 − 5 4 − 2 2 ] = [ 2 0 0 0 2 0 0 0 2 ] (3)
From the equation (1), (2) and (3)
Adj ( A ) × A = | A | I = A × Adj ( A ) Adjoint and Inverese of Matrices Exercise 6.1 Question 3
Answer: Proved
A ( Adj ( A ) ) = 0 Hint: Here, we have to use advance method of finding adjoint of matrix.
Given: A = [ 1 − 1 1 2 3 0 18 2 10 ] Solution: We know that,
A × Adj ( A ) = | A | I Then,
| A | I = 0 (1)
From the equation (1)
| A | I = 0 | 1 − 1 1 2 3 0 18 2 10 | × 1 = 0 since,
| I | = 1 1 | 3 0 2 10 | − ( − 1 ) | 2 0 18 10 | + 1 | 2 3 18 2 | = 0 0 = 1 ( 30 ) + ( 20 − 0 ) + ( 4 − 54 ) 0 = 30 + 20 + 4 − 54 0 = 54 − 54 0 = 0 So,
A × Adj ( A ) = | A | I = 0 Adjoint and Inverese of Matrices Exercise 6.1 Question 4
Answer: Proved
A d j ( A ) = A Hint: Here, we use basic concept of adjoint of matrix.
Given: A = [ − 4 − 3 − 3 1 0 1 4 4 3 ] Solution: Here, let’s find cofactor
C 11 = + ( 0 − 4 ) = − 4 C 12 = − ( − 1 ) = 1 C 13 = + ( 4 − 0 ) = 4 C 21 = − ( − 3 ) = 3 C 22 = + ( 0 ) = 0 C 23 = − ( − 4 ) = 4 C 31 = + ( − 3 − 0 ) = − 3 C 32 = − ( − 1 ) = 1 C 33 = + ( 3 ) = 3 So,
C i j = [ − 4 1 4 3 0 4 − 3 1 3 ] Let’s find
A d j ( A ) Take the transpose of
C i j Adj ( A ) = [ − 4 3 − 3 1 0 1 4 4 3 ] Hence we clearly see that
A d j ( A ) = A Adjoint and Inverese of Matrices Exercise 6.1 Question 5
Answer: Adj ( A ) = 3 A T Hint: Here, we use basic concept of determinant and adjoint of matrix.
Given: A = [ − 1 − 2 − 2 2 1 − 2 2 − 2 1 ] Solution: A = [ − 1 − 2 − 2 2 1 − 2 2 − 2 1 ] Let’s find cofactors
C i j = ( − 1 ) i + j C 11 = + ( 1 − 4 ) = − 3 C 12 = − ( 2 + 4 ) = − 6 C 13 = + ( − 4 − 2 ) = − 6 C 21 = − ( − 2 − 4 ) = 6 C 22 = + ( − 1 + 4 ) = 3 C 23 = − ( 2 + 4 ) = − 6 C 31 = + ( 4 + 2 ) = 6 C 32 = − ( 2 + 4 ) = − 6 C 33 = + ( − 1 + 4 ) = 3 C i j = [ − 3 − 6 − 6 6 3 − 6 6 − 6 3 ] So,
A d j ( A ) = Transpose of
C i j Adj ( A ) = [ − 3 6 6 − 6 3 − 6 − 6 − 6 3 ] (1)
3 A T = 3 × [ − 1 2 2 − 2 1 − 2 − 2 − 2 1 ] = [ − 3 6 6 − 6 3 − 6 − 6 − 6 3 ] (2)
Here, from equation (1) and (2)
Clearly see that,
3 A T = A d j ( A ) Hence, proved
Adjoint and Inverse Matrix Exercise 6.1 Question 6
Answer: Adj ( A ) = [ 25 0 0 0 25 0 0 0 25 ] Hint: Here, we use basic concept of determinant.
Given: A = [ 1 − 2 3 0 2 − 1 − 4 5 2 ] Solution: Let’s find cofactor of A
C 11 = 9 , C 21 = 19 , C 31 = − 4 C 12 = 4 , C 22 = 14 , C 32 = 1 C 13 = 8 , C 23 = 3 , C 33 = 2 C i j = [ 9 4 8 19 14 3 − 4 1 2 ] A d j ( A ) = Transpose of
C i j Adj ( A ) = [ 9 19 − 4 4 14 1 8 3 2 ] A × Adj ( A ) = [ 1 − 2 3 0 2 − 1 − 4 5 2 ] × [ 9 19 − 4 4 14 1 8 3 2 ] = [ 9 − 8 + 24 19 − 28 − 9 − 4 − 2 + 6 0 + 8 − 8 0 + 28 − 3 0 + 2 − 2 − 36 + 20 + 16 − 76 + 70 + 6 16 + 5 + 4 ] = [ 25 0 0 0 25 0 0 0 25 ] Hence,
A × Adj ( A ) = 25 I Adjoint and Inverse Matrix Exercise 6.1 Question 7 (i)
Answer: Adj ( A ) = [ 25 0 0 0 25 0 0 0 25 ] Hint: Here, we use basic concept of determinant.
Given: A = [ 1 − 2 3 0 2 − 1 − 4 5 2 ] Solution: Let’s find cofactor of A
C 11 = 9 , C 21 = 19 , C 31 = − 4 C 12 = 4 , C 22 = 14 , C 32 = 1 C 13 = 8 , C 23 = 3 , C 33 = 2 C i j = [ 9 4 8 19 14 3 − 4 1 2 ] A d j ( A ) = Transpose of
C i j Adj ( A ) = [ 9 19 − 4 4 14 1 8 3 2 ] A × Adj ( A ) = [ 1 − 2 3 0 2 − 1 − 4 5 2 ] × [ 9 19 − 4 4 14 1 8 3 2 ] = [ 9 − 8 + 24 19 − 28 − 9 − 4 − 2 + 6 0 + 8 − 8 0 + 28 − 3 0 + 2 − 2 − 36 + 20 + 16 − 76 + 70 + 6 16 + 5 + 4 ] = [ 25 0 0 0 25 0 0 0 25 ] Hence,
A × Adj ( A ) = 25 I Adjoint and Inverse Matrix Exercise 6.1 Question 7 (ii)
Answer: A − 1 = [ 0 1 1 0 ] Hint: Here, we use basic concept of inverse of matrix
Such that
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 0 1 1 0 ] Solution: | A | = | 0 1 1 0 | = 0 − 1 = − 1 Let’s find
A d j ( A ) C 11 = 0 , C 12 = − 1 C 21 = − 1 , C 22 = 0 So,
C i j = [ 0 − 1 − 1 0 ] A d j ( A ) Is transpose of
C i j So,
Adj ( A ) = [ 0 − 1 − 1 0 ] So,
A − 1 = 1 | A | × Adj ( A ) A − 1 = − 1 1 × [ 0 − 1 − 1 0 ] A − 1 = − 1 × [ 0 − 1 − 1 0 ] A − 1 = [ 0 1 1 0 ] Adjoint and Inverse Matrix Exercise 6.1 Question 7 (iii)
Answer: Answer: A − 1 = [ 1 + b c a − b − c a ] Hint: Here, we use basic concept of inverse.
Given: A = [ a b c 1 + b c a ] Solution: We know that
A − 1 = 1 | A | × Adj ( A ) | A | = | a b c 1 + b c a | = 1 + b c − b c = 1 Let’s find
A d j ( A ) C 11 = 1 + b c a C 12 = − c C 21 = − b C 22 = a C i j = [ 1 + b c a − c − b a ] Adj ( A ) = C i j T Adj ( A ) = [ 1 + b c a − b − c a ] So, let’s put value in formula
A − 1 = 1 1 × [ 1 + b c a − b − c a ] A − 1 = [ 1 + b c a − b − c a ] Adjoint and Inverse of Matrices Excercise 6.1 Question 7 (iv)
Answer: A − 1 = 1 17 [ 1 − 5 3 2 ] Hint: Here, we use basic concept of determinant and inverse of matrix.
Given: A = [ 2 5 − 3 1 ] Solution: A − 1 = 1 | A | × Adj ( A ) So let’s find
| A | | A | = | 2 5 − 3 1 | = 2 − [ ( 5 ) × ( − 3 ) ] = 2 + 15 = 17 Let’s find
A d j ( A ) C 11 = 1 , C 12 = 3 C 21 = − 5 , C 22 = 2 So,
C i j = [ 1 3 − 5 2 ] Adj ( A ) = C i j T Adj ( A ) = [ 1 − 5 3 2 ] Let’s put the values in formula
A − 1 = 1 17 [ 1 − 5 3 2 ] Adjoint and Inverse of Matrices Excercise 6.1 Question 8 (i).
Answer: A − 1 = 1 18 × [ − 5 1 7 1 7 − 5 7 − 5 1 ] Hint: Here, we use basic concept of determinant and inverse of matrix.
Given: A = [ 1 2 3 2 3 1 3 1 2 ] Solution: A − 1 = 1 | A | × Adj ( A ) | A | = 1 | 3 1 1 2 | − 2 | 2 1 3 2 | + 3 | 2 3 3 1 | = 1 ( 6 − 1 ) − 2 ( 4 − 3 ) + 3 ( 2 − 9 ) | A | = 5 − 2 − 21 = − 18 Let’s find
A d j ( A ) For that let’s find cofactor
C 11 = + ( 6 − 1 ) = 5 C 12 = − ( 4 − 3 ) = − 1 C 13 = + ( 2 − 9 ) = − 7 C 21 = − ( 4 − 3 ) = − 1 C 22 = + ( 2 − 9 ) = − 7 C 23 = − ( 1 − 6 ) = 5 C 31 = + ( 2 − 9 ) = − 7 C 32 = − ( 1 − 6 ) = 5 C 33 = + ( 3 − 4 ) = − 1 C i j = [ 5 − 1 − 7 − 1 − 7 5 − 7 5 − 1 ] Adj ( A ) = C j → T Adj ( A ) = [ 5 − 1 − 7 − 1 − 7 5 − 7 5 − 1 ] A − 1 = 1 | A | × A d j ( A ) A − 1 = − 1 18 × [ 5 − 1 − 7 − 1 − 7 5 − 7 5 − 1 ] A − 1 = 1 18 × [ − 5 1 7 1 7 − 5 7 − 5 1 ] Adjoint and Inverse of Matrices Excercise 6.1 Question 8 (ii)
Answer: A − 1 = 1 27 [ 4 17 3 − 1 − 11 6 5 1 − 3 ] Hint: Here, we use basic concept of determinant and inverse of matrix
Given: A = [ 1 2 5 1 − 1 − 1 2 3 − 1 ] Solution: We know that
A − 1 = 1 | A | × A d j ( A ) So let’s find
| A | | A | = 1 | − 1 − 1 3 − 1 | − 2 | 1 − 1 2 − 1 | + 5 | 1 − 1 2 3 | = 1 ( 1 + 3 ) − 2 ( − 1 + 2 ) + 5 ( 3 + 2 ) = 4 − 2 + 25 | A | = 27 Hence
A − 1 exist
Cofactor of A are
C 11 = 4 , C 21 = 17 , C 31 = 3 C 12 = − 1 , C 22 = − 11 , C 32 = 6 C 13 = 5 , C 23 = 1 , C 33 = − 3 So Adj ( A ) = C i j T Adj ( A ) = [ 4 − 1 5 17 − 11 1 3 6 − 3 ] T = [ 4 17 3 − 1 − 11 6 5 1 − 3 ] A − 1 = 1 | A | × Adj ( A ) A − 1 = 1 27 [ 4 17 3 − 1 − 11 6 5 1 − 3 ] Adjoint and Inverse of Matrices Excercise 6.1 Question 8 (iii)
Answer: A − 1 = 1 4 [ 3 1 − 1 1 3 1 − 1 1 3 ] Hint: Here, we use basic concept of determinant and inverse of matrix.
Given: A = [ 2 − 1 1 − 1 2 − 1 1 − 1 2 ] Solution: A − 1 = 1 | A | × Adj ( A ) | A | = 2 | 2 − 1 − 1 2 | − ( − 1 ) | − 1 − 1 1 2 | + 1 | − 1 2 1 − 1 | = 2 ( 4 − 1 ) + 1 ( − 2 + 1 ) + 1 ( 1 − 2 ) = 6 − 2 = 4 ≠ 0 Hence
A − 1 exist
Cofactor of A
C 11 = 3 , C 21 = 1 , C 31 = − 1 C 12 = 3 , C 22 = 3 , C 32 = 1 C 13 = − 1 , C 23 = 1 , C 33 = 3 Adj ( A ) = C i j T Adj ( A ) = [ 3 1 − 1 1 3 1 − 1 1 3 ] T = [ 3 1 − 1 1 3 1 − 1 1 3 ] A − 1 = 1 | A | × Adj ( A ) = 1 4 [ 3 1 − 1 1 3 1 − 1 1 3 ]
Adjoint and Inverese of Matrices Exercise 6.1 Question 8 (iv)
Answer: A − 1 = [ 3 − 1 1 − 15 6 − 5 5 − 2 2 ] .
Hint: Here, we use basic concept of determinant and inverse of matrix.
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 1 0 − 1 5 1 0 0 1 3 ] Solution: | A | = 2 | 1 0 1 3 | − 0 | 5 0 0 3 | − 1 | 5 1 0 1 | = 2 ( 3 − 0 ) − 0 − 1 ( 5 ) = 6 − 5 | A | = 1 Hence
A − 1 exist
Cofactor of A are
C 11 = 3 , C 12 = − 15 , C 13 = 5 C 21 = − 1 , C 22 = 6 , C 23 = − 2 C 31 = 1 , C 32 = − 5 , C 33 = 2 Adj ( A ) = C i j T Adj ( A ) = [ 3 − 15 5 − 1 6 − 2 1 − 5 2 ] T = [ 3 − 1 1 − 15 6 − 5 5 − 2 2 ] A − 1 = 1 | A | × Adj ( A ) A − 1 = 1 1 × [ 3 − 1 1 − 15 6 − 5 5 − 2 2 ] Adjoint and Inverese of Matrices Exercise 6.1 Question 8 (v)
Answer: A − 1 = [ 0 1 − 1 4 − 3 4 3 − 3 4 ] Hint: Here, we use basic concept of determinant and inverse of matrix.
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 0 1 − 1 4 − 3 4 3 − 3 4 ] Solution: | A | = 0 | − 3 4 − 3 4 | − 1 | 4 4 3 4 | + ( − 1 ) | 4 − 3 3 − 3 | = 0 − 1 ( 16 − 12 ) − 1 ( − 12 + 9 ) = − 4 + 3 = − 1 Hence
A − 1 exist
Cofactor of A are
C 11 = 0 , C 12 = − 4 , C 13 = − 3 C 21 = − 1 , C 22 = 3 , C 23 = − 4 C 31 = − 3 , C 32 = 3 , C 33 = − 4 A d j ( A ) = C i j T Adj ( A ) = [ 0 − 1 1 − 4 3 − 4 − 3 3 − 4 ] A − 1 = 1 | A | × Adj ( A ) = − 1 1 [ 0 − 1 1 − 4 3 − 4 − 3 3 − 4 ] A − 1 = [ 0 1 − 1 4 − 3 4 3 − 3 4 ] Adjoint and Inverese of Matrices Exercise 6.1 Question 8 (vi)
Answer: A − 1 = [ − 2 1 1 11 4 − 1 2 − 3 4 − 1 0 0 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 0 0 − 1 3 4 5 − 2 − 4 − 7 ] Solution: | A | = 0 | 4 5 − 4 − 7 | − 0 | 3 5 − 2 − 7 | − 1 | 3 4 − 2 − 4 | = 0 − 0 − 1 ( − 12 + 8 ) = 4 Hence
A − 1 exist
Cofactor of A are
C 11 = − 8 , C 21 = 4 , C 31 = 4 C 12 = 11 , C 22 = − 2 , C 32 = − 3 C 13 = − 4 , C 23 = 0 , C 33 = 0 Adj ( A ) = [ 8 11 − 4 4 − 2 0 4 − 3 0 ] T = [ 8 4 4 11 − 2 − 3 − 4 0 0 ] A − 1 = 1 | A | × Adj ( A ) A − 1 = 1 4 × [ − 8 4 4 11 − 2 − 3 − 4 0 0 ] A − 1 = [ − 2 1 1 11 4 − 1 2 − 3 4 − 1 0 0 ] Adjoint and Inverese of Matrices Exercise 6.1 Question 8 (vii)
Answer: A − 1 = [ 1 0 0 0 cos α sin α 0 sin α − cos α ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 1 0 0 0 cos α sin α 0 sin α − cos α ] Solution: Let’s find
| A | | A | = 1 | cos α sin α sin α − cos α | − 0 + 0 = − cos 2 α − sin 2 α | A | = − 1 So
A − 1 exist
Cofactors of A are
C 11 = − 1 , C 21 = 0 , C 31 = 0 C 12 = 0 , C 22 = − cos α , C 32 = − sin α C 13 = 0 , C 23 = − sin α , C 33 = cos α Adj ( A ) = C i j T Adj ( A ) = [ − 1 0 0 0 − cos α − sin α 0 − sin α cos α ] T = [ − 1 0 0 0 − cos α − sin α 0 − sin α cos α ] A − 1 = 1 | A | × Adj ( A ) = 1 − 1 [ − 1 0 0 0 − cos α − sin α 0 − sin α cos α ] A − 1 = [ 1 0 0 0 cos α sin α 0 sin α − cos α ] Adjoint and Inverse of a Matrix exercise 6.1 question 9 (i)
Answer: A − 1 = [ 7 − 3 − 3 − 1 1 0 − 1 0 1 ] Hint: Here, we use basic concept of determinant and inverse of matrix.
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 1 3 3 1 4 3 1 3 4 ] Solution: Here, let’s find
| A | | A | = 1 | 4 3 3 4 | − 3 | 1 3 1 4 | + 3 | 1 4 1 3 | = 1 ( 16 − 9 ) − 3 ( 4 − 3 ) + 3 ( 3 − 4 ) = 7 − 3 − 3 = 1 Hence
A − 1 exist
Let’s find cofactor of A
C 11 = 7 , C 21 = − 3 , C 31 = − 3 C 12 = − 1 , C 22 = 1 , C 32 = 0 C 13 = − 1 , C 23 = 0 , C 33 = 1 A d j ( A ) = C i j T Adj ( A ) = [ 7 − 3 − 3 − 1 1 0 − 1 0 1 ] A − 1 = 1 | A | × A d j ( A ) A − 1 = 1 1 [ 7 − 3 − 3 − 1 1 0 − 1 0 1 ] = [ 7 − 3 − 3 − 1 1 0 − 1 0 1 ] A − 1 × A = [ 7 − 3 − 3 − 1 1 0 − 1 0 1 ] × [ 1 3 3 1 4 3 1 3 4 ] = [ 7 − 3 − 3 21 − 12 − 9 21 − 9 − 12 − 1 + 1 + 0 − 3 + 4 + 0 − 3 + 3 + 0 − 1 + 0 + 1 − 3 + 0 + 3 − 3 + 0 + 4 ] A − 1 × A = [ 1 0 0 0 1 0 0 0 1 ] = I Adjoint and Inverse of a Matrix exercise 6.1 question 9 (ii)
Answer: A − 1 = 1 2 [ 1 1 − 1 − 3 1 1 9 − 5 − 1 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 2 3 1 3 4 1 3 7 2 ] Solution: | A | = 2 | 4 1 7 2 | − 3 | 3 1 3 2 | + 1 | 3 4 3 7 | = 2 ( 8 − 7 ) − 3 ( 6 − 3 ) + 1 ( 21 − 12 ) = 2 − 9 + 9 = 2 Hence
A − 1 exist
Cofactor of A
C 11 = 1 , C 21 = 1 , C 31 = − 1 C 12 = − 3 , C 22 = 1 , C 32 = 1 C 13 = 9 , C 23 = − 5 , C 33 = − 1 Adj ( A ) = C i j T Adj ( A ) = [ 1 − 3 9 1 1 − 5 − 1 1 − 1 ] T = [ 1 1 − 1 − 3 1 1 9 − 5 − 1 ] A − 1 = 1 | A | × Adj ( A ) A − 1 = 1 2 [ 1 1 − 1 − 3 1 1 9 − 5 − 2 ] A − 1 × A = 1 2 [ 1 1 − 1 − 3 1 1 9 − 5 − 1 ] [ 2 3 1 3 4 1 3 7 2 ] = 1 2 [ 2 + 3 − 3 3 + 4 − 7 1 + 1 − 2 − 6 + 3 + 3 − 9 + 4 + 7 − 3 + 1 + 2 18 − 15 − 3 27 − 20 − 7 9 − 5 − 2 ] = 1 2 [ 2 0 0 0 2 0 0 0 2 ] = [ 1 0 0 0 1 0 0 0 1 ] Hence
A − 1 × A = I Adjoint and Inverse Matrix Exercise 6.1 Question 11
Answer: [ − 47 39 2 41 − 17 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × A d j ( A ) Given: A = [ 3 2 7 5 ] , B = [ 6 7 8 9 ] Solution: A = [ 3 2 7 5 ] Let’s find
| A | | A | = | 3 2 7 5 | = 15 − 14 = 1 Adj ( A ) = [ 5 − 2 − 7 3 ] A − 1 = 1 | A | × Adj ( A ) = 1 1 [ 5 − 2 − 7 3 ] = [ 5 − 2 − 7 3 ] B = [ 6 7 8 9 ] | B | = 54 − 56 = − 2 Adj ( B ) = [ 9 − 7 − 8 6 ] B − 1 = 1 | B | × Adj ( A ) = 1 − 2 [ 9 − 7 − 8 6 ] Now, we know that
( A B ) − 1 = B − 1 A − 1 = 1 − 2 [ 9 − 7 − 8 6 ] [ 5 − 2 − 7 3 ] = 1 − 2 [ 45 + 49 − 18 − 21 − 40 − 42 16 + 18 ] = − 1 2 [ 94 − 39 − 82 34 ] ( A B ) − 1 = [ − 47 39 2 41 − 17 ] Adjoint and Inverse Matrix Exercise 6.1 Question 12
Answer: Hence proved
2 A − 1 = 9 I − A Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 2 − 3 − 4 7 ] Solution: Here let’s find
| A | , A d j ( A ) & A − 1 | A | = | 2 − 3 − 4 7 | = 14 − 12 = 2 Adj ( A ) = [ 7 3 4 2 ] A − 1 = 1 2 [ 7 3 4 2 ] To show
2 A − 1 = 9 I − A 2 A − 1 = 2 × 1 2 [ 7 3 4 2 ] = [ 7 3 4 2 ] (1)
9 I − A = [ 9 0 0 9 ] − [ 2 − 3 − 4 7 ] = [ 7 3 4 2 ] (2)
From equation (1) and (2)
Hence,
2 A − 1 = 9 I − A Adjoint and Inverse Matrix Exercise 6.1 Question 13
Answer: Hence proved
A − 3 I = 2 ( I + 3 A − 1 ) Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 4 5 2 1 ] Solution: Let’s find
| A | , A d j ( A ) & A − 1 | A | = 4 − 10 = − 6 Adj ( A ) = [ 1 − 5 − 2 4 ] A − 1 = 1 | A | × Adj ( A ) = 1 − 6 [ 1 − 5 − 2 4 ] To show
A − 3 I = 2 ( I + 3 A − 1 ) LHS
A − 3 I = [ 4 5 2 1 ] − 3 [ 1 0 0 1 ] = [ 1 5 2 − 2 ] (1)
RHS
2 ( I + 3 A − 1 ) = 2 I + 6 A − 1 = 2 [ 1 0 0 1 ] + 6 6 [ − 1 5 2 − 4 ] = [ 2 0 0 2 ] + [ − 1 5 2 − 4 ] = [ 1 5 2 − 2 ] (2)
Here from equation (1) and (2)
A − 3 I = 2 ( I + 3 A − 1 ) Adjoint and Inverse of Matrices Excercise 6.1 Question 14
Answer: A − 1 = [ 1 + b c a − b − c a ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ a b c 1 + b c a ] Solution: | A | = a + a b c a − b c = a + a b c − a b c a = a a = 1 So, hence
A − 1 exist
Cofactor of A
C 11 = 1 + b c a , C 12 = − c C 21 = − b , C 22 = a Adj ( A ) = [ 1 + b c a − c − b a ] T = [ 1 + b c a − b − c a ] A − 1 = 1 | A | × Adj ( A ) = 1 1 [ 1 + b c a − b − c a ] A − 1 = [ 1 + b c a − b − c a ] To show
a A − 1 = ( a 2 + b c + 1 ) I − a A LHS
a A − 1 = a [ 1 + b c a − b − c a ] = [ 1 + b c − a b − a c a 2 ] RHS
( a 2 + b c + 1 ) I − a A = [ a 2 + b c + 1 0 0 a 2 + b c + 1 ] − [ a 2 a b a c 1 + b c ] = [ 1 + b c − a b − a c a 2 ] LHS = RHS
Adjoint and Inverse of Matrices Excercise 6.1 Question 15
Answer: [ − 2 19 − 27 − 2 18 − 25 − 3 29 − 42 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 5 0 4 2 3 2 1 2 1 ] , B − 1 = [ 1 3 3 1 4 3 1 3 4 ] Solution: For
( A B ) − 1 we know that
( A B ) − 1 = B − 1 A − 1 Here
B − 1 is also given so
Let’s fin
A − 1 | A | = − 5 + 4 = − 1 Cofactor of A are
C 11 = − 1 , C 21 = 8 , C 31 = − 12 C 12 = 0 , C 22 = 1 , C 32 = − 2 C 13 = 1 , C 23 = − 10 , C 33 = 15 Adj ( A ) = [ − 1 0 1 8 1 − 10 − 12 − 2 15 ] T = [ − 1 8 − 12 0 1 − 2 1 − 10 15 ] A − 1 = − 1 [ − 1 8 − 12 0 1 − 2 1 − 10 15 ] = [ 1 − 8 12 0 − 1 2 − 1 10 − 15 ] ( A B ) − 1 = B − 1 A − 1 = [ 1 3 3 1 4 3 1 3 4 ] [ 1 − 8 12 0 − 1 2 − 1 10 − 15 ] = [ 1 + 0 − 3 − 8 − 3 + 30 12 + 6 − 45 1 + 0 − 3 − 8 − 4 + 30 12 + 8 − 45 1 + 0 − 4 − 8 − 3 + 40 12 + 6 − 60 ] ( A B ) − 1 = [ − 2 19 − 27 − 2 18 − 25 − 3 29 − 42 ] Adjoint and Inverse of Matrices Excercise 6.1 Question 16 question (i)
Answer: Hence proved
[ F ( α ) ] − 1 = F ( − α ) Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: F ( α ) = [ cos α − sin α 0 sin α cos α 0 0 0 1 ] , G ( β ) = [ cos β 0 sin β 0 1 0 − sin β 0 cos β ] Solution: | F ( α ) | = | cos α − sin α 0 sin α cos α 0 0 0 1 | | F ( α ) | = cos 2 α + sin 2 α = 1 Cofactor of A are
C 11 = cos α , C 21 = sin α , C 31 = 0 C 12 = − sin α , C 22 = cos α , C 32 = 0 C 13 = 0 , C 23 = 0 , C 33 = 1 Adj ( F ( α ) ) = C i j T Adj ( F ( α ) ) = [ cos α − sin α 0 sin α cos α 0 0 0 1 ] T Adj ( F ( α ) ) = [ cos α sin α 0 − sin α cos α 0 0 0 1 ] (1)
[ F ( α ) ] − 1 = 1 1 [ cos α sin α 0 − sin α cos α 0 0 0 1 ] F ( − α ) = [ cos ( − α ) sin ( − α ) 0 − sin ( − α ) cos ( − α ) 0 0 0 1 ] = [ cos α sin α 0 − sin α cos α 0 0 0 1 ] (2)
From equation (1) and (2)
[ F ( α ) ] − 1 = F ( − α ) Adjoint and Inverese of Matrices Exercise 6.1 Question 16 (ii)
Answer: Hence proved
[ G ( β ) ] − 1 = G ( − β ) Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: F ( α ) = [ cos α − sin α 0 sin α cos α 0 0 0 1 ] , G ( β ) = [ cos β 0 sin β 0 1 0 − sin β 0 cos β ] Solution: Let’s find
| G ( β ) | | G ( β ) | = cos 2 β + sin 2 β = 1 Cofactor of A
C 11 = cos β , C 21 = 0 , C 31 = sin β C 12 = 0 , C 22 = 1 , C 32 = 0 C 13 = sin β , C 23 = 0 , C 33 = cos β Adj ( G ( β ) ) = [ cos β 0 sin β 0 1 0 − sin β 0 cos β ] T Adj ( G ( β ) ) = [ cos β 0 − sin β 0 1 0 − sin β 0 cos β ] [ G ( β ) ] − 1 = 1 | G ( β ) | × Adj ( G ( β ) ) [ G ( β ) ] − 1 = 1 1 [ cos β 0 − sin β 0 1 1 sin β 0 cos β ] G ( − β ) = [ cos ( − β ) 0 sin ( − β ) 0 1 0 sin ( − β ) 0 cos ( − β ) ] = [ cos β 0 − sin β 0 1 0 sin β 0 cos β ] Hence
[ G ( β ) ] − 1 = G ( − β ) Adjoint and Inverese of Matrices Exercise 6.1 Question 17
Answer: [ 2 − 3 − 1 2 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 2 3 1 2 ] A 2 − 4 A + I = 0 I = [ 1 0 0 1 ] & O = [ 0 0 0 0 ] Solution: A 2 = [ 2 3 1 2 ] [ 2 3 1 2 ] = [ 4 + 3 6 + 6 2 + 2 3 + 4 ] A 2 = [ 7 12 4 7 ] 4 A = 4 × [ 2 3 1 2 ] = [ 8 12 4 8 ] I = [ 1 0 0 1 ] A 2 − 4 A + I = [ 7 12 4 7 ] − [ 8 12 4 8 ] + [ 1 0 0 1 ] = [ 7 − 8 + 1 12 − 12 + 0 4 − 4 + 0 7 − 8 + 1 ] = [ 0 0 0 0 ] Hence
A 2 − 4 A + I = 0 A × A − 4 A = − I Let’s multiply
A − 1 both side
A × A ( A − 1 ) − 4 A A − 1 = − I A − 1 A − 4 I = − A − 1 A − 1 = 4 I − A = [ 4 0 0 4 ] − [ 2 3 1 2 ] = [ 2 − 3 − 1 2 ]
Adjoint and Inverse of Matrices Excercise 6.1 Question 18
Answer: A − 1 = 1 42 [ − 4 5 2 8 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ − 8 5 2 4 ] Solution: A 2 = [ − 8 5 2 4 ] [ − 8 5 2 4 ] = [ 64 + 10 − 40 + 20 − 16 + 8 10 + 16 ] = [ 74 − 20 − 8 26 ] 4 A = 4 × [ − 8 5 2 4 ] = [ − 32 20 8 16 ] 42 I = 42 × [ 1 0 0 1 ] = [ 42 0 0 42 ] Now,
A 2 + 4 A − 42 I = [ 74 − 20 − 8 26 ] + [ − 32 20 8 16 ] − [ 42 0 0 42 ] = [ 74 − 74 − 20 + 20 − 2 + 8 42 − 42 ] = [ 0 0 0 0 ] A 2 + 4 A − 42 I = 0 Multiplying by
A − 1 both sides
A × A × A − 1 + 4 A × A − 1 − 42 I × A − 1 = 0 A + 4 I − 42 A − 1 = 0 42 A − 1 = A + 4 I So,
A − 1 = 1 42 [ A + 4 I ] A − 1 = 1 42 ( [ − 8 5 2 4 ] + [ 4 0 0 4 ] ) A − 1 = 1 42 [ − 4 5 2 8 ] Adjoint and Inverse of a Matrix exercise 6.1 question 19
Answer: A − 1 = 1 7 [ 2 − 1 1 3 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 3 1 − 1 2 ] Show that
A 2 − 5 A + 7 I = 0 Solution: A = [ 3 1 − 1 2 ] A 2 = [ 3 1 − 1 2 ] [ 3 1 − 1 2 ] = [ 9 − 1 3 + 2 − 3 − 2 − 1 + 4 ] = [ 8 5 − 5 3 ] Now,
A 2 − 5 A + 7 I = [ 8 5 − 5 3 ] − 5 × [ 3 1 − 1 2 ] + 7 [ 1 0 0 1 ] = [ 8 − 15 + 7 5 − 5 + 0 − 5 + 5 + 0 3 − 10 + 7 ] = [ 0 0 0 0 ] A 2 − 5 A + 7 I = 0 Multiply by
A − 1 both sides
A × A × A − 1 − 5 A × A − 1 + 7 I × A − 1 = 0 A − 5 I + 7 A − 1 = 0 A − 1 = 1 7 [ 5 I − A ] A − 1 = 1 7 [ [ 5 0 0 5 ] − [ 3 1 − 1 2 ] ] A − 1 = 1 7 [ 2 − 1 1 3 ] Adjoint and Inverse of Matrices Excercise 6.1 Question 20
Answer: X = 9 a n d y = 14 ,
A − 1 = 1 14 [ 5 − 3 − 2 4 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 4 3 2 5 ] Solution: A 2 = [ 4 3 2 5 ] [ 4 3 2 5 ] = [ 16 + 6 12 + 15 8 + 10 6 + 25 ] = [ 22 27 18 31 ] A 2 − x A + y I = [ 22 37 18 31 ] − x [ 4 3 2 5 ] + [ y 0 0 y ] = [ 0 0 0 0 ] 22 − 4 x + y = 0 4 x − y = 22 x = 9 So,
4 x − y = 22 4 × 9 − y = 22 36 − 22 = y y = 14 So
A 2 − 9 A + 14 I = 0 Multiply by
A − 1 both sides,
A × A × A − 1 − 9 A × A − 1 + 14 I × A − 1 = 0 A − 9 I + 14 A − 1 = 0 A − 1 = 1 14 [ 9 I − A ] A − 1 = 1 14 [ 9 0 0 9 ] − [ 4 3 2 5 ] A − 1 = 1 14 [ 5 − 3 − 2 4 ] Adjoint and Inverse of Matrices Excercise 6.1 Question 21
Answer: Λ =1,
A − 1 = 1 2 [ − 2 2 − 4 3 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × A d j ( A ) Given: A = [ 3 − 2 4 − 2 ] Solution: A 2 = [ 3 − 2 4 − 2 ] [ 3 − 2 4 − 2 ] = [ 9 − 8 − 6 + 4 12 − 8 − 8 + 4 ] = [ 1 − 2 4 − 4 ] Now,
A 2 = λ A − 2 I λ A = A 2 + 2 I λ A = [ 1 − 2 4 − 4 ] + [ 2 0 0 2 ] = [ 3 − 2 4 − 2 ] λ = [ 3 − 2 4 − 2 ] ÷ [ 3 − 2 4 − 2 ] λ = 1 So, A 2 = A − 2 I Multiply
A − 1 both side
A − 1 A × A = A A − 1 − 2 L A − 1 2 A − 1 = I − A = [ 1 0 0 1 ] − [ 3 − 2 4 − 2 ] = [ − 2 2 − 4 3 ] A − 1 = 1 2 [ − 2 2 − 4 3 ] Adjoint and Inverse of Matrices Excercise 6.1 Question 22
Answer: A − 1 = 1 7 [ 2 3 − 1 − 5 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 5 3 − 1 − 2 ] Solution: A 2 = [ 5 3 − 1 − 2 ] [ 5 3 − 1 − 2 ] = [ 25 − 3 15 − 6 − 5 + 2 − 3 + 4 ] = [ 22 9 − 3 1 ] Now,
A 2 − 3 A − 7 I = 0 [ 22 9 − 3 1 ] − 3 [ 5 3 − 1 − 2 ] − 7 [ 1 0 0 1 ] [ 22 − 15 − 7 9 − 9 − 0 − 3 + 3 − 0 1 + 6 − 7 ] = [ 0 0 0 0 ] A 2 − 3 A − 7 I = 0 Multiply
A − 1 both side
A × A × A − 1 − 3 A × A − 1 − 7 L A − 1 = 0 A − 3 I − 7 A − 1 = 0 7 A − 1 = A − 3 I = 1 7 [ 5 3 − 1 − 2 ] − 3 [ 1 0 0 1 ] A − 1 = 1 7 [ 2 3 − 1 − 5 ] Adjoint and Inverese of Matrices Exercise 6.1 Question 23
Answer: A − 1 = [ 6 − 5 − 7 6 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 6 5 7 6 ] Solution: A 2 − 12 A + I = 0 A 2 = [ 6 5 7 6 ] [ 6 5 7 6 ] = [ 36 + 35 30 + 30 42 + 42 35 + 36 ] = [ 71 60 84 71 ] Now,
A 2 − 12 A + 1 = 0 [ 71 60 84 71 ] − 12 [ 6 5 7 6 ] + [ 1 0 0 1 ] = [ 71 − 72 + 1 60 − 60 + 0 84 − 89 + 0 1 − 72 + 1 ] = [ 0 0 0 0 ] Also,
A 2 − 12 A + 1 = 0 A − 12 I + A − 1 = 0 A − 1 − 12 I = A A − 1 = [ 12 0 0 12 ] − [ 6 5 7 6 ] = [ 12 − 6 − 5 − 7 12 − 6 ] A − 1 = [ 6 − 5 − 7 6 ] Adjoint and Inverese of Matrices Exercise 6.1 Question 24
Answer: A − 1 = − 1 11 [ 3 − 4 − 5 − 9 1 4 − 5 3 1 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given A = [ 1 1 1 1 2 − 3 2 − 1 3 ] Solution: A 3 = A 2 × A A 2 = [ 1 1 1 1 2 − 3 2 − 1 3 ] [ 1 1 1 1 2 − 3 2 − 1 3 ] = [ 1 + 1 + 2 1 + 2 − 1 1 − 3 + 3 1 + 2 − 6 1 + 4 + 3 1 − 6 + 9 2 − 1 + 6 2 − 2 − 3 2 + 3 + 9 ] A 2 = [ 4 2 1 − 3 8 − 14 7 − 3 14 ] A 2 × A = [ 4 2 1 − 3 8 − 14 7 − 3 14 ] [ 1 1 1 1 2 − 3 2 1 3 ] = [ 4 + 2 + 2 4 + 4 − 1 4 − 6 + 3 − 3 + 8 − 28 − 3 + 14 + 14 − 3 − 24 − 42 7 − 3 + 28 7 − 6 − 14 7 + 9 + 42 ] = [ 8 7 1 − 23 27 − 69 32 − 13 58 ] Now,
A 3 − 6 A 2 + 5 A + 11 I [ 8 7 1 − 23 27 − 69 32 − 13 58 ] − 6 [ 4 2 1 − 3 8 − 14 7 − 3 14 ] + 5 [ 1 1 1 1 2 − 3 2 − 1 3 ] + 11 [ 1 0 0 0 1 0 0 0 1 ] [ 8 − 24 7 − 12 1 − 6 − 23 + 18 27 − 48 − 69 + 84 32 − 42 − 13 + 18 58 − 84 ] + [ 5 + 11 5 5 5 10 + 11 − 15 10 − 5 26 ] = [ 0 0 0 0 0 0 0 0 0 ] A 3 − 6 A 2 + 5 A + 11 I = 0 Now,
( A × A × A ) A − 1 − 6 ( A × A ) A − 1 + 5 A A − 1 + 11 I A − 1 = 0 A A ( A − 1 A ) − 6 A ( A − 1 A ) + 5 A − 1 A = − 11 ( A − 1 I ) A − 1 = − 1 11 ( A 2 − 6 A + 5 I ) Now,
A 2 − 6 A + 5 I [ 4 2 1 − 3 8 − 14 7 − 3 14 ] − 6 [ 1 1 1 1 2 − 3 2 − 1 3 ] + 5 [ 1 0 0 0 1 0 0 0 1 ] = [ 4 2 1 − 3 8 − 14 7 − 3 14 ] − [ 6 6 6 6 12 − 18 12 − 6 18 ] + [ 5 0 0 0 5 0 0 0 5 ] = [ − 3 − 4 − 5 − 9 1 4 − 5 3 1 ] Hence,
A − 1 = − 1 11 [ 3 − 4 − 5 − 9 1 4 − 5 3 1 ] Adjoint and Inverese of Matrices Exercise 6.1 Question 25
Answer: A − 1 = [ − 9 − 8 − 2 8 7 2 − 5 − 4 − 1 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × A d j ( A ) Given: A = [ 1 0 − 2 − 2 − 1 2 3 4 1 ] Solution: A 3 − A 2 − 3 A − I 3 = 0 So,
A 3 = A 2 × A A 2 = A × A = [ 1 0 − 2 − 2 − 1 2 3 4 1 ] [ 1 0 − 2 − 2 − 1 2 3 4 1 ] = [ 1 + 0 − 6 0 + 0 − 8 − 2 + 0 − 2 − 2 + 2 + 6 0 + 1 + 8 4 − 2 + 2 3 − 8 + 3 0 − 4 + 4 − 6 + 8 + 1 ] = [ − 5 − 8 − 4 6 9 4 − 2 0 3 ] A 2 × A = [ − 5 − 8 − 4 6 9 2 3 4 1 ] × [ 1 0 − 2 − 2 − 1 2 3 4 1 ] = [ − 5 + 16 − 12 0 − 8 + 16 10 − 16 − 4 6 − 18 + 12 0 − 9 + 16 − 12 + 18 + 4 − 2 − 0 + 9 0 − 0 − 12 4 + 0 + 3 ] = [ − 1 − 8 − 10 0 7 10 7 12 7 ] Now,
A 3 − A 2 − 3 A − I [ − 1 − 8 − 10 0 7 10 7 12 7 ] − [ − 5 − 8 − 4 6 9 4 − 2 0 3 ] − 3 [ 1 0 − 2 − 2 − 1 2 3 4 1 ] − [ 1 0 0 0 1 0 0 0 1 ] = [ − 1 + 5 − 8 + 8 − 10 + 4 0 − 6 7 − 9 10 − 4 7 + 2 12 − 0 7 − 3 ] + [ − 3 − 1 0 6 − 0 6 − 0 3 − 1 − 6 − 0 − 9 − 0 − 12 + 0 − 3 − 1 ] = [ 4 0 − 6 − 6 − 2 6 9 12 4 ] + [ − 4 0 6 6 2 − 6 − 9 − 12 − 4 ] = [ 0 0 0 0 0 0 0 0 0 ] Thus,
A 3 − A 2 − 3 A − I now ( A A A ) × A − 11 − A A A − 1 − 3 A A − 1 − L A − 1 = 0 A 2 − A − 3 A − I = 0 A − 1 = ( A 2 − A − 3 I ) = [ − 5 − 8 − 4 6 9 4 − 2 0 3 ] − [ 1 0 − 2 − 2 − 1 2 3 4 1 ] − [ 3 0 0 0 3 0 0 0 3 ] [ − 5 − 1 − 3 − 8 + 0 − 4 + 2 6 + 2 − 0 9 + 1 − 3 4 − 2 − 2 − 3 − 0 − 4 3 − 1 − 3 ] = [ − 9 − 8 − 2 8 7 2 − 5 − 4 − 1 ] A − 1 = [ − 9 − 8 − 2 8 7 2 − 5 − 4 − 1 ] Adjoint and Inverse Matrix Exercise 6.1 Question 26 Answer:
A − 1 = 1 4 [ 3 1 − 1 1 3 1 − 1 1 3 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 2 − 1 1 − 1 2 − 1 1 − 1 2 ] Solution: A 3 = A 2 × A = [ 6 − 5 5 − 5 6 − 5 5 − 5 6 ] [ 2 − 1 1 − 1 2 − 1 1 − 1 2 ] = [ 12 + 5 + 5 − 6 + 10 − 5 6 + 5 + 10 − 10 − 6 − 5 5 + 12 + 5 − 5 − 6 − 10 10 + 5 + 6 − 5 − 10 − 6 5 + 5 + 12 ] = [ 22 − 21 21 − 21 22 − 21 21 − 21 22 ] Now,
A 3 − 6 A 2 + 9 A − 4 I [ 22 − 21 21 − 21 22 − 21 21 − 21 22 ] − 6 [ 6 − 5 5 − 5 6 − 5 5 − 5 6 ] + 9 [ 2 − 1 1 − 1 2 − 1 1 − 1 2 ] − 4 [ 1 0 0 0 1 0 0 0 1 ] = [ 22 − 36 + 18 − 4 − 21 + 30 − 9 21 − 30 + 9 − 21 + 30 − 9 22 − 36 + 18 − 4 − 21 + 30 − 9 21 − 30 + 9 − 0 − 21 + 30 − 9 22 − 36 + 18 − 4 ] = [ 0 0 0 0 0 0 0 0 0 ] Thus,
A 3 − 6 A 2 + 9 A − 4 I A 2 − 6 A + 9 I = 4 A − 1 A − 1 = 1 4 [ A 2 − 6 A + 9 I ] A 2 − 6 A + 9 I = [ 6 − 5 5 − 5 6 − 5 5 − 5 6 ] − 6 [ 2 − 1 1 − 1 2 − 1 1 − 1 2 ] + 9 [ 1 0 0 0 1 0 0 0 1 ] = [ 6 − 12 + 9 − 5 + 6 + 0 5 − 6 + 0 − 5 + 6 + 0 6 − 12 + 9 − 5 + 6 + 0 5 − 6 + 0 − 5 − 6 + 0 6 − 12 + 3 ] = [ 3 1 − 1 1 3 1 − 1 1 3 ] Hence,
A − 1 = 1 4 [ 3 1 − 1 1 3 1 − 1 1 3 ] Adjoint and Inverse Matrix Exercise 6.1 Question 27
Answer: A − 1 = 1 9 [ − 8 4 1 1 4 − 8 4 7 4 ] = A T Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = 1 9 [ − 8 1 4 1 4 7 1 − 8 4 ] Find
A T = A − 1 Solution: A T = A − 1 L H S A T = 1 9 [ 8 1 4 4 4 7 1 − 8 4 ] T = 1 9 [ − 8 4 1 1 4 − 8 4 7 4 ] R H S A − 1 = 1 | A | × Adj ( A ) Let’s find
| A | & Adj ( A ) | A | = 1 9 [ − 8 ( 16 + 56 ) − 1 ( 16 − 7 ) + 4 ( − 32 − 4 ) ] | A | = − 81 Cofactor of A
C 11 = 72 , C 21 = − 36 , C 31 = − 9 C 12 = − 9 , C 22 = − 36 , C 32 = 72 C 13 = − 36 , C 23 = − 63 , C 33 = − 36 Adj ( A ) = [ 72 − 9 − 36 − 36 − 36 − 63 9 72 − 36 ] T = [ 72 − 36 − 9 − 9 − 36 72 − 36 − 63 − 36 ] A − 1 = 1 | A | × A d j ( A ) = 1 − 9 [ 72 − 36 − 9 − 9 − 36 72 36 − 63 − 36 ] A − 1 = 1 9 [ − 8 4 1 1 4 − 8 4 7 4 ] = A T Adjoint and Inverse Matrix Exercise 6.1 Question 28
Answer: A − 1 = A 3 Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 3 − 3 4 2 − 3 4 0 − 1 1 ] Solution: A − 1 = A 3 RHS
A − 1 = 1 | A | × Adj ( A ) Let’s find
| A | & Adj ( A ) | A | = 3 + 6 − 8 = 1 Cofactor of A
C 11 = 1 , C 21 = − 1 , C 31 = 0 C 12 = − 2 , C 22 = 3 , C 32 = − 4 C 13 = − 2 , C 23 = 3 , C 33 = − 3 Adj ( A ) = [ 1 − 1 0 − 2 3 − 4 − 2 3 − 3 ] A − 1 = 1 | A | × Adj ( A ) = 1 1 [ 1 − 1 0 − 2 3 − 4 − 2 3 − 3 ] (1)
RHS
A 3 = A 2 × A A 2 = [ 3 − 3 4 2 − 3 4 0 − 1 1 ] [ 3 − 3 4 2 − 3 4 0 − 1 1 ] = [ 9 − 6 + 0 − 9 + 9 − 4 12 − 12 + 4 6 − 6 + 0 − 6 + 9 − 4 8 − 12 + 4 0 − 2 + 0 0 + 3 − 1 0 − 4 + 1 ] = [ 3 − 4 4 0 − 1 0 2 2 3 ] A 3 = A 2 × A = [ 3 − 4 4 0 − 1 0 − 2 2 − 3 ] [ 3 − 3 4 2 − 3 4 0 − 1 1 ] = [ 1 − 1 0 − 2 3 − 4 − 2 3 − 3 ] (2)
So, here equation (1) and (2)
LHS = RHS
A − 1 = A 3 Adjoint and Inverse of Matrices Excercise 6.1 Question 29
Answer: A − 1 = A 2 Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ − 1 2 0 − 1 1 1 0 1 0 ] Solution: | A | = − 1 | 1 1 1 0 | − 2 | − 1 1 0 0 | + 0 | A | = − 1 ( − 1 ) − 0 + 0 = 1 | A | = 1 Cofactor of A
C 11 = − 1 , C 21 = 0 , C 31 = 2 C 12 = 0 , C 22 = 0 , C 32 = 1 C 13 = − 1 , C 23 = 1 , C 33 = 1 Adj ( A ) = [ − 1 0 − 1 0 0 1 2 1 1 ] T = [ − 1 0 2 0 0 1 − 1 1 1 ] A − 1 = 1 | A | × Adj ( A ) = 1 1 [ − 1 0 2 0 0 1 − 1 1 1 ] = [ − 1 0 2 0 0 1 − 1 1 1 ] A 2 = A × A = [ − 1 2 0 − 1 1 1 0 1 0 ] [ − 1 2 0 − 1 1 1 0 1 0 ] = [ − 1 − 2 + 0 − 2 + 2 + 0 0 + 2 + 0 1 − 1 + 1 − 2 + 1 + 1 − 1 + 1 − 0 0 − 1 + 0 0 + 1 − 0 0 + 1 − 0 ] = [ − 1 0 2 0 0 1 − 1 1 1 ] Hence
A − 1 = A 2 Adjoint and Inverse of Matrices Excercise 6.1 Question 30
Answer: X = [ − 3 − 14 4 17 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 5 4 1 1 ] , B = [ 1 − 2 1 3 ] Solution: A X = B X = A − 1 B | A | = 1 Cofactor of A
C 11 = 1 , C 21 = − 4 C 12 = − 1 , C 22 = 5 Adj ( A ) = [ 1 − 1 − 4 5 ] T = [ 1 − 4 − 1 5 ] A − 1 = 1 | A | × Adj ( A ) A − 1 = 1 1 [ 1 − 4 − 1 5 ] X = [ 1 − 4 − 1 5 ] × [ 1 − 2 1 3 ] = [ − 3 − 14 4 17 ] Adjoint and Inverse of a Matrix exercise 6.1 question 31
Answer: X = [ − 7 − 5 7 6 ] Hint: Here, we use basic concept of determinant and inverse of matrix
Given: A = [ 5 3 − 1 − 2 ] , B = [ 14 7 7 7 ] Solution: A X = B X = A − 1 B | A | = − 7 Cofactor of A
C 11 = − 2 , C 12 = 1 C 21 = − 3 , C 22 = 5 Adj ( A ) = [ − 2 1 − 3 5 ] T = [ − 2 − 3 1 5 ] A − 1 = 1 | A | × Adj ( A ) A − 1 = 1 − 7 [ 2 3 − 1 − 5 ] X = − 1 7 [ 2 3 − 1 − 5 ] [ 14 7 7 7 ] = − 1 7 [ 28 + 21 14 + 21 − 14 − 35 − 7 − 35 ] X = [ − 7 − 5 7 6 ] Adjoint and Inverse of a Matrix exercise 6.1 question 32
Answer: A − 1 = [ − 16 3 24 − 5 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 3 2 7 5 ] , B = [ − 1 1 − 2 1 ] , C = [ 2 − 1 0 4 ] Solution: Then the given equation becomes as,
A X B = C X = A − 1 C B − 1 | A | = 15 − 14 = 1 | B | = − 1 + 2 = 1 A − 1 = 1 | A | × Adj ( A ) = 1 1 [ 5 − 2 − 7 3 ] B − 1 = 1 | B | × Adj ( B ) = 1 [ 1 − 1 2 − 1 ] X = A − 1 C B − 1 = 1 [ 5 − 2 − 7 3 ] [ 2 − 1 0 4 ] [ 1 − 1 2 − 1 ] = [ 10 + 0 − 5 − 8 − 14 + 0 7 + 12 ] [ 1 − 1 2 − 1 ] = [ 10 − 26 − 10 + 13 − 14 + 38 14 − 19 ] X = [ − 16 3 24 − 5 ] Adjoint and Inverse of a Matrix exercise 6.1 question 33
Answer: Answer: X = [ 9 − 14 − 16 25 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 2 1 5 3 ] , B = [ 5 3 3 2 ] , C = [ 1 0 0 1 ] Solution: Then the given equation becomes
A × B = I X = A − 1 B − 1 | A | = 6 − 5 = 1 | B | = 10 − 9 = 1 A − 1 = 1 | A | × Adj ( A ) = 1 1 [ 3 − 1 − 5 2 ] B − 1 = 1 | B | × A d j ( B ) = 1 1 [ 2 − 3 − 3 5 ] X = A − 1 B − 1 = [ 3 − 1 − 5 2 ] [ 2 − 3 − 3 5 ] X = [ 6 + 3 − 14 − 16 25 ] X = [ 9 − 14 − 16 25 ] Adjoint and Inverese of Matrices Exercise 6 point 1 Question 34
Answer: A − 1 = 1 5 [ − 3 2 2 2 − 3 2 2 2 − 3 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 1 2 2 2 1 2 1 2 1 ] A 2 − 4 A − 5 I = 0 Solution: A = [ 1 2 2 2 1 2 2 2 1 ] A 2 = [ 1 2 2 2 1 2 2 2 1 ] [ 1 2 2 2 1 2 2 2 1 ] = [ 1 + 4 + 4 2 + 2 + 4 2 + 4 + 2 2 + 2 + 4 4 + 1 + 4 4 + 2 + 2 2 + 4 + 2 4 + 2 + 2 4 + 4 + 1 ] A 2 = [ 9 8 8 8 9 8 8 8 9 ] A 2 − 4 A − 5 I = 0 [ 9 8 8 8 9 8 8 8 9 ] − 4 [ 1 2 2 2 1 2 2 2 1 ] + 5 [ 1 0 0 0 1 0 0 0 1 ] = [ 9 − 4 − 5 8 − 8 − 0 8 − 8 − 0 8 − 8 − 0 9 − 4 − 5 8 − 8 − 0 8 − 8 − 0 8 − 8 − 0 9 − 4 − 5 ] = [ 0 0 0 0 0 0 0 0 0 ] Also,
A 2 − 4 A − 5 I = 0 ( A A ) A − 1 − 4 A A − 1 − 5 I A − 1 = 0 A − 4 I − 5 A − 1 = 0 A − 1 = 1 5 ( A − 4 I ) A − 1 = 1 5 [ 1 2 2 2 1 2 2 2 1 ] − 4 [ 1 0 0 0 1 0 0 0 1 ] A − 1 = 1 5 [ 1 − 4 2 − 0 2 − 0 2 − 0 1 − 4 2 − 0 2 − 0 2 − 0 1 − 4 ] = 1 5 [ − 3 2 2 2 − 3 2 2 2 − 3 ] Adjoint and Inverese of Matrices Exercise 6.1 Question 36
Answer: ( A B ) − 1 = [ 9 − 3 5 − 2 1 0 1 0 2 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × A d j ( A ) Given: A − 1 = [ 3 − 1 1 − 15 6 − 5 5 − 2 2 ] , B = [ 1 2 − 2 − 1 3 0 0 − 2 1 ] Find
( A B ) − 1 Solution: A − 1 = [ 3 − 1 1 − 15 6 − 5 5 − 2 2 ] So, we know that
( A B ) − 1 = B − 1 A − 1 So let’s find
B − 1 B − 1 = 1 | B | × Adj ( B ) | B | = 1 ( 3 − 0 ) − 2 ( 1 − 0 ) − 2 ( 2 − 0 ) | B | = 3 + 2 − 4 = 1 Now cofactor of B
C 11 = 3 , C 21 = 2 , C 31 = 6 C 12 = 1 , C 22 = 1 , C 32 = 2 C 13 = 2 , C 23 = 2 , C 33 = 5 Adj ( B ) = [ 3 2 6 1 1 2 2 2 5 ] Now,
B − 1 = [ 3 2 6 1 1 2 2 2 5 ] ( A B ) − 1 = B − 1 A − 1 = [ 3 2 6 1 1 2 2 2 5 ] [ 3 − 1 1 − 15 6 − 5 5 − 2 2 ] = [ 9 − 30 + 30 − 3 + 12 − 12 3 − 10 + 12 3 − 15 + 10 − 1 + 6 − 4 1 − 5 + 4 6 − 30 + 25 − 2 + 12 − 10 2 − 10 + 10 ] ( A B ) − 1 = [ 9 − 3 5 − 2 1 0 1 0 2 ] Adjoint and Inverse Matrix Exercise 6.1 Question 37
Answer: [ − 9 − 8 − 2 8 7 2 − 5 − 4 − 1 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: A = [ 1 − 2 3 0 − 1 4 − 2 2 1 ] Solution: A T = [ 1 0 − 2 − 2 − 1 2 3 4 1 ] Let’s find
| A T | | A T | = ( − 1 − 8 ) − 0 − 2 ( − 8 + 3 ) = − 9 + 10 = 1 Cofactor of
A T C 11 = − 9 , C 12 = 8 , C 13 = − 5 C 21 = − 8 , C 22 = 7 , C 23 = − 4 C 31 = − 2 , C 32 = 2 , C 33 = 1 Adj ( A T ) = [ − 9 − 8 − 2 8 7 2 − 5 − 4 − 1 ] ( A T ) − 1 = 1 1 [ − 9 − 8 − 2 8 7 2 − 5 − 4 − 1 ] ( A T ) − 1 = [ − 9 − 8 − 2 8 7 2 − 5 − 4 − 1 ] Adjoint and Inverse Matrix Exercise 6.1 Question 38
Answer: A × Adj ( A ) = 27 [ 1 0 0 0 1 0 0 0 1 ] Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × A d j ( A ) Given: A = | − 1 − 2 − 2 2 1 − 2 2 − 2 1 | Solution: | A | = | − 1 − 2 − 2 2 1 − 2 2 − 2 1 | | A | = − 1 ( 1 − 4 ) + 2 ( 2 + 4 ) − 2 ( − 4 − 2 ) = 3 + 12 + 12 | A | = 27 Cofactor of A
C 11 = − 3 , C 21 = 6 , C 31 = 6 C 12 = − 6 , C 22 = 3 , C 32 = − 6 C 13 = − 6 , C 23 = − 6 , C 33 = 3 Adj ( A ) = [ − 3 6 6 − 6 3 − 6 6 6 3 ] A × Adj ( A ) = [ − 1 − 2 − 2 2 1 − 2 2 − 2 1 ] [ − 3 6 6 − 6 3 − 6 6 6 3 ] = [ 27 0 0 0 27 0 0 0 27 ] A × Adj ( A ) = 27 [ 1 0 0 0 1 0 0 0 1 ] A × A d j ( A ) = | A | I Adjoint and Inverse Matrix Exercise 6.1 Question 39
Answer: A − 1 = 1 2 ( A 2 − 3 I ) Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × A d j ( A ) Given: A = [ 0 1 1 1 0 1 1 1 0 ] Solution: | A | = 0 − 1 ( 0 − 1 ) + 1 ( 1 − 0 ) = 0 + 1 + 1 = 2 Cofactor of A
C 11 = − 1 , C 21 = 1 , C 31 = 1 C 12 = 1 , C 22 = − 1 , C 32 = 1 C 13 = 1 , C 23 = 1 , C 33 = − 1 Adj ( A ) = [ − 1 1 1 1 − 1 1 1 1 − 1 ] A − 1 = 1 2 [ − 1 1 1 1 − 1 1 1 1 − 1 ] A 2 − 3 I = [ 0 1 1 1 0 1 1 1 0 ] [ 0 1 1 1 0 1 1 1 0 ] − 3 [ 1 0 0 0 1 0 0 0 1 ] = [ 2 1 1 1 2 1 1 1 2 ] − [ 3 0 0 0 3 0 0 0 3 ] = [ − 1 1 1 1 − 1 1 1 1 − 1 ] Hence
A − 1 = 1 2 ( A 2 − 3 I ) Adjoint and Inverese of Matrices Exercise 6.1 Question 10 (i)
Answer: Proved
( A B ) − 1 = B − 1 A − 1 Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × A d j ( A ) Given: A = [ 3 2 7 5 ] , B = [ 4 6 3 2 ] Solution: Let’s find
| A | | A | = | 3 2 7 5 | = 15 − 14 = 1 Adj ( A ) = [ 5 − 2 − 7 3 ] A − 1 = 1 | A | × Adj ( A ) A − 1 = 1 1 [ 5 − 2 − 7 3 ] Then let’s find
| B | A d j ( B ) & B − 1 | B | = | 4 6 3 2 | = 8 − 18 = − 10 Adj ( B ) = [ 2 − 6 − 3 4 ] B − 1 = 1 | B | × A dj ( B ) B − 1 = 1 − 10 × [ 2 − 6 − 3 4 ] Then find
A B A × B = [ 3 2 7 5 ] × [ 4 6 3 2 ] = [ 12 + 6 18 + 4 28 + 15 42 + 10 ] = [ 18 22 43 52 ] Then let’s find
| A B | , A d j ( A B ) and inverse of
A B | A B | = | 18 22 43 52 | = 936 − 946 = − 10 Adj ( A B ) = [ 52 − 22 − 43 18 ] ( A B ) − 1 = 1 − 10 × [ 52 − 22 − 43 18 ] = 1 10 [ − 52 22 43 − 18 ] (1)
Now
B − 1 A − 1 = 1 10 [ 2 − 6 3 4 ] [ 5 − 2 − 7 3 ] = 1 10 [ 10 + 42 − 4 − 18 − 15 − 28 6 + 12 ] = 1 10 [ − 52 22 43 − 18 ] (2)
From equation (1) and (2)
( A B ) − 1 = B − 1 A − 1 Hence proved
Adjoint and Inverese of Matrices Exercise 6.1 Question 10 (ii)
Answer: Proved
( A B ) − 1 = B − 1 A − 1 Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × A d j ( A ) Given: A = [ 2 1 5 3 ] , B = [ 4 5 3 4 ] Solution: Let’s find
| A | A d j ( A ) & A − 1 | A | = | 2 1 5 3 | = 6 − 5 = 1 Adj ( A ) = [ 3 − 1 − 5 2 ] A − 1 = 1 | A | × Adj ( A ) = 1 1 [ 3 − 1 − 5 2 ] = [ 3 − 1 − 5 2 ] Let’s find
| B | A d j ( B ) & B − 1 | B | = | 4 5 3 4 | = 16 − 15 = 1 Adj ( B ) = [ 4 − 5 − 3 4 ] B − 1 = 1 | A | × Adj ( A ) = 1 1 [ 4 − 5 − 3 4 ] Then find AB
A × B = [ 2 1 5 3 ] [ 4 5 3 4 ] = [ 11 14 29 37 ] Let’s find
| A B | , A d j ( A ) & ( A B ) − 1 | A B | = 407 − 406 = 1 Adj ( A B ) = [ 37 − 14 − 29 11 ] ( A B ) − 1 = 1 | A B | × Adj ( A ) = [ 37 − 14 − 29 11 ] (1)
Now
B − 1 A − 1 = [ 4 − 5 − 3 4 ] [ 3 − 1 − 5 2 ] B − 1 A − 1 = [ 37 − 14 − 29 11 ] (2)
Hence proved from equation (1) and (2)
( A B ) − 1 = B − 1 A − 1 Adjoint and Inverese of Matrices Exercise 6.1 Question 16 (iii)
Answer: Hence proved
[ F ( α ) G ( β ) ] − 1 = G ( − β ) F ( − α ) Hint: Here, we use basic concept of determinant and inverse of matrix
A − 1 = 1 | A | × Adj ( A ) Given: F ( α ) = [ cos α − sin α 0 sin α cos α 0 0 0 1 ] , G ( β ) = [ cos β 0 sin β 0 1 0 − sin β 0 cos β ] Solution: We have to show
[ F ( α ) G ( β ) ] − 1 = G ( − β ) F ( − α ) We already know that,
[ G ( β ) ] − 1 = G ( − β ) [ F ( α ) ] − 1 = F ( − α ) L H S = [ F ( α ) G ( β ) ] − 1 = [ G ( β ) ] − 1 [ F ( α ) ] − 1 = G ( − β ) F ( − α ) L H S = R H S Hence proved
RD Sharma Class 12th Exercise 6.1 consists of the chapter, Adjoint and Inverse of Matrix. This particular exercise consists of 58 Level 1 sums that are very fundamental and direct. Students can efficiently complete them in a day without a fuss if they understand the chapter. To help students cover as many questions as possible, Career360 has provided RD Sharma Class 12th Exercise 6.1 material.
The sums in this chapter are divided into two parts, i.e., Level 1 and Level 2. These levels are based on difficulty and weightage. Level one questions usually require fundamental knowledge and can be completed quickly, whereas level two sums require some extra understanding and are more complex.
It has solutions for the entire RD Sharma book that students can utilize to complete their syllabus. As it complies with the CBSE syllabus, students can refer to it for their classes and compare their progress. This exercise can be quickly completed with the help of RD Sharma Class 12th Exercise 6.1 by Career360.
Matrix multiplication, Adjoint, and Inverse, and other algebra are discussed in this chapter. As the material from Career360 contains solutions for all the questions from the book, there is nothing apart from this that students need to follow. These solutions are created by experts that have specifically designed them to help students get a good grasp of the subject. This is an easier and more efficient way to complete the preparation.
As RD Sharma Class 12th Exercise 6.1 is updated to the latest version, students don't have to worry about the differences. This is a simple one-stop-shop solution for all the exam needs when it comes to Math. RD Sharma's books contain a lot of questions that dive deep into the concepts.
Similarly, this chapter contains hundreds of questions. As teachers can't explain every one of those questions, this is where Career360 comes to help with RD Sharma Class 12 Chapter 6 Exercise 6.1 material. It has all the questions and covers the entire syllabus. It is beneficial and convenient for students now to study from home.
For the convenience of students, this material is free of cost. They can visit the website and download the material of choice for free. Thousands of students have already started preparing this material. Students who haven’t tried it yet should definitely refer to it.
RD Sharma Chapter wise Solutions