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In Mathematics, Determinants are the values that are associated with square matrix which give us useful information about the matrix, such as whether the matrix is invertible or not. Determinants also help us simplify and solve systems of equations. The Class 12th Determinants chapter in Maths consists of concepts related to Determinants and how to evaluate them, Area of a triangle using determinants, Minors and Cofactors, and also the adjoint and the inverse of a matrix.
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Understanding Determinants and its concepts help students in many ways, from finding the value of determinants to using their properties in solving systems of equations. For full syllabus coverage and solved exercises as well as a downloadable PDF, please visit this link: NCERT.
On this article of NCERT solutions for class 12 Maths Chapter 4 Determinants , we offer clear and step-by-step solutions for the exercise problems given in the NCERT book. It covers all the important Class 12 Maths Chapter 4 question answers. We at Careers360 have designed this NCERT Solutions for Class 12 article to provide comprehensive and step-by-step solutions to the chapter's questions in a student-friendly format. They can use it for practising for board exam and competitive exams as well.
Students who wish to access the NCERT solutions for Class 12 Maths Chapter 4 Determinants can click on the link below to download the complete solution in PDF.
Determinants class 12 questions and answers: Exercise: 4.1 Page number: 81-82 Total Questions: 8 |
Question 1: Evaluate the following determinant- |24−5−1|
Answer:
The determinant is evaluated as follows
| 2 4 − 5 − 1 | = 2 ( − 1 ) − 4 ( − 5 ) = − 2 + 20 = 18
Question 2(i): Evaluate the following determinant- |cosθ−sinθsinθcosθ|
Answer:
The given two by two determinant is calculated as follows
| cos θ − sin θ sin θ cos θ | = cos θ ( cos θ ) − ( − sin θ ) sin θ = cos 2 θ + sin 2 θ = 1
Question 2(ii): Evaluate the following determinant- |x2−x+1x−1x+1x+1|
Answer:
We have determinant | x 2 − x + 1 x − 1 x + 1 x + 1 |
| x 2 − x + 1 x − 1 x + 1 x + 1 | = ( x 2 − x + 1 ) ( x + 1 ) − ( x − 1 ) ( x + 1 )
= ( x + 1 ) ( x 2 − x + 1 − x + 1 ) = ( x + 1 ) ( x 2 − 2 x + 2 )
= x 3 − 2 x 2 + 2 x + x 2 − 2 x + 2
= x 3 − x 2 + 2
Question 3: If A=[1242] , then show that |2A|=4|A|
Answer:
Given determinant A = [ 1 2 4 2 ], then we have to show that | 2 A | = 4 | A |,
So, A = [ 1 2 4 2 ] then, 2 A = 2 [ 1 2 4 2 ] = [ 2 4 8 4 ]
Hence we have | 2 A | = | 2 4 8 4 | = 2 ( 4 ) − 4 ( 8 ) = − 24
So, L.H.S. = |2A| = -24
then calculating R.H.S. 4 | A |
We have,
| A | = | 1 2 4 2 | = 1 ( 2 ) − 2 ( 4 ) = − 6
hence R.H.S becomes 4 | A | = 4 × ( − 6 ) = − 24
Therefore L.H.S. =R.H.S.
Hence proved.
Question 4: If A=[101012004] then show that |3A|=27|A|
Answer:
Given Matrix A = [ 1 0 1 0 1 2 0 0 4 ]
Calculating 3 A = 3 [ 1 0 1 0 1 2 0 0 4 ] = [ 3 0 3 0 3 6 0 0 12 ]
So, | 3 A | = 3 ( 3 ( 12 ) − 6 ( 0 ) ) − 0 ( 0 ( 12 ) − 0 ( 6 ) ) + 3 ( 0 − 0 ) = 3 ( 36 ) = 108
calculating 27 | A | ,
| A | = | 1 0 1 0 1 2 0 0 4 | = 1 | 1 2 0 4 | − 0 | 0 2 0 4 | + 1 | 0 1 0 0 | = 4 − 0 + 0 = 4
So, 27 | A | = 27 ( 4 ) = 108
Therefore | 3 A | = 27 | A | .
Hence proved.
Question 5(i): Evaluate the determinants.
Answer:
Given the determinant | 3 − 1 − 2 0 0 − 1 3 − 5 0 | ;
now, calculating its determinant value,
| 3 − 1 − 2 0 0 − 1 3 − 5 0 | = 3 | 0 − 1 − 5 0 | − ( − 1 ) | 0 − 1 3 0 | + ( − 2 ) | 0 0 3 − 5 |
= 3 ( 0 − 5 ) + 1 ( 0 + 3 ) − 2 ( 0 − 0 ) = − 15 + 3 − 0 = − 12 .
Question 5(ii): Evaluate the determinants.
Answer:
Given determinant | 3 − 4 5 1 1 − 2 2 3 1 | ;
Now calculating the determinant value;
| 3 − 4 5 1 1 − 2 2 3 1 | = 3 | 1 − 2 3 1 | − ( − 4 ) | 1 − 2 2 1 | + 5 | 1 1 2 3 |
= 3 ( 1 + 6 ) + 4 ( 1 + 4 ) + 5 ( 3 − 2 ) = 21 + 20 + 5 = 46 .
Question 5(iii): Evaluate the determinants.
Answer:
Given determinant | 0 1 2 − 1 0 − 3 − 2 3 0 | ;
Now calculating the determinant value;
| 0 1 2 − 1 0 − 3 − 2 3 0 | = 0 | 0 − 1 3 0 | − 1 | − 1 − 3 − 2 0 | + 2 | − 1 0 − 2 3 |
= 0 − 1 ( 0 − 6 ) + 2 ( − 3 − 0 ) = 6 − 6 = 0
Question 5(iv): Evaluate the determinants.
Answer:
Given determinant: | 2 − 1 − 2 0 2 − 1 3 − 5 0 | ,
We now calculate determinant value:
| 2 − 1 − 2 0 2 − 1 3 − 5 0 | = 2 | 2 − 1 − 5 0 | − ( − 1 ) | 0 − 1 3 0 | + ( − 2 ) | 0 2 3 − 5 |
= 2 ( 0 − 5 ) + 1 ( 0 + 3 ) − 2 ( 0 − 6 ) = − 10 + 3 + 12 = 5
Question 6: If A=[11−221−354−9] , then find |A|.
Answer:
Given the matrix A = [ 1 1 − 2 2 1 − 3 5 4 − 9 ], then,
Finding the determinant value of A;
| A | = 1 | 1 − 3 4 − 9 | − 1 | 2 − 3 5 − 9 | − 2 | 2 1 5 4 |
= 1 ( − 9 + 12 ) − 1 ( − 18 + 15 ) − 2 ( 8 − 5 ) = 3 + 3 − 6 = 0
Question 7(i): Find values of x, if
Answer:
Given that | 2 4 5 1 | = | 2 x 4 6 x |
First, we solve the determinant value of L.H.S. and equate it to the determinant value of R.H.S.,
| 2 4 5 1 | = 2 ( 1 ) − 4 ( 5 ) = 2 − 20 = − 18 and | 2 x 4 6 x | = 2 x ( x ) − 4 ( 6 ) = 2 x 2 − 24
So, we have then,
− 18 = 2 x 2 − 24 or 3 = x 2 or x = ± 3
Question 7(ii): Find values of x, if
Answer:
Given | 2 3 4 5 | = | x 3 2 x 5 | ;
So, we here equate both sides after calculating each side's determinant values.
L.H.S. determinant value;
| 2 3 4 5 | = 2 ( 5 ) − 3 ( 4 ) = 10 − 12 = − 2
Similarly R.H.S. determinant value;
| x 3 2 x 5 | = 5 ( x ) − 3 ( 2 x ) = 5 x − 6 x = − x
So, we have then;
− 2 = − x or x = 2 .
Question 8: If |x218x|=|62186| , then x is equal to
Answer:
Solving the L.H.S. determinant ;
| x 2 18 x | = x ( x ) − 2 ( 18 ) = x 2 − 36
and solving R.H.S determinant;
| 6 2 18 6 | = 36 − 36 = 0
So equating both sides;
x 2 − 36 = 0 or x 2 = 36 or x = ± 6
Hence answer is (B).
Determinants class 12 questions and answers: Exercise: 4.2 Page number: 83 Total Questions: 5 |
Question 1(i): Find area of the triangle with vertices at the point given in each of the following :
( 1 , 0 ) , ( 6 , 0 ) , ( 4 , 3 )
Answer:
We can find the area of the triangle with vertices ( 1 , 0 ) , ( 6 , 0 ) , ( 4 , 3 ) by the following determinant relation:
△ = 1 2 | 1 0 1 6 0 1 4 3 1 |
Expanding using second column
= 1 2 ( − 3 ) | 1 1 6 1 |
= 15 2 s q u a r e u n i t s .
Question 1(ii): Find area of the triangle with vertices at the point given in each of the following :
( 2 , 7 ) , ( 1 , 1 ) , ( 10 , 8 )
Answer:
We can find the area of the triangle with given coordinates by the following method:
△ = | 2 7 1 1 1 1 10 8 1 |
= 1 2 | 2 7 1 1 1 1 10 8 1 | = 1 2 [ 2 ( 1 − 8 ) − 7 ( 1 − 10 ) + 1 ( 8 − 10 ) ]
= 1 2 [ 2 ( − 7 ) − 7 ( − 9 ) + 1 ( − 2 ) ] = 1 2 [ − 14 + 63 − 2 ] = 47 2 s q u a r e u n i t s .
Question 1(iii): Find area of the triangle with vertices at the point given in each of the following :
( − 2 , − 3 ) , ( 3 , 2 ) , ( − 1 , − 8 )
Answer:
Area of the triangle by the determinant method:
A r e a △ = 1 2 | − 2 − 3 1 3 2 1 − 1 − 8 1 |
= 1 2 [ − 2 ( 2 + 8 ) + 3 ( 3 + 1 ) + 1 ( − 24 + 2 ) ]
= 1 2 [ − 20 + 12 − 22 ] = 1 2 [ − 30 ] = − 15
Hence the area is equal to | − 15 | = 15 s q u a r e u n i t s .
Question 2: Show that points A(a,b+c),B(b,c+a),C(c,a+b) are collinear.
Answer:
If the area formed by the points is equal to zero then we can say that the points are collinear.
So, we have an area of a triangle given by,
△ = 1 2 | a b + c 1 b c + a 1 c a + b 1 |
calculating the area:
= 1 2 [ a | c + a 1 a + b 1 | − ( b + c ) | b 1 c 1 | + 1 | b c + a c a + b | ]
= 1 2 [ a ( c + a − a − b ) − ( b + c ) ( b − c ) + 1 ( b ( a + b ) − c ( c + a ) ) ]
= 1 2 [ a c − a b − b 2 + c 2 + a b + b 2 − c 2 − a c ] = 1 2 [ 0 ] = 0
Hence, the area of the triangle formed by the points is equal to zero.
Therefore, given points A ( a , b + c ) , B ( b , c + a ) , C ( c , a + b ) are collinear.
Question 3(i): Find the values of k if the area of triangle is 4 sq. units and vertices are
( k , 0 ) , ( 4 , 0 ) , ( 0 , 2 )
Answer:
We can easily calculate the area by the formula :
△ = 1 2 | k 0 1 4 0 1 0 2 1 | = 4 s q . u n i t s
= 1 2 [ k | 0 1 2 1 | − 0 | 4 1 0 1 | + 1 | 4 0 0 2 | ] = 4 s q . u n i t s
= 1 2 [ k ( 0 − 2 ) − 0 + 1 ( 8 − 0 ) ] = 1 2 [ − 2 k + 8 ] = 4 s q . u n i t s
[ − 2 k + 8 ] = 8 s q . u n i t s or − 2 k + 8 = ± 8 s q . u n i t s
or k = 0 or k = 8
Hence, two values are possible for k.
Question 3(ii): Find values of k if the area of triangle is 4 sq. units and vertices are
( − 2 , 0 ) , ( 0 , 4 ) , ( 0 , k )
Answer:
The area of the triangle is given by the formula:
△ = 1 2 | − 2 0 1 0 4 1 0 k 1 | = 4 s q . u n i t s .
Now, calculating the area:
= 1 2 | − 2 ( 4 − k ) − 0 ( 0 − 0 ) + 1 ( 0 − 0 ) | = 1 2 | − 8 + 2 k | = 4
or − 8 + 2 k = ± 8
Therefore, we have two possible values of 'k' i.e., k = 8 or k = 0 .
Question 4(i): Find the equation of line joining (1,2) and (3,6) using determinants.
Answer:
As we know, the line joining ( 1 , 2 ) , ( 3 , 6 ) and let's say a point on line A ( x , y ) will be collinear.
Therefore area formed by them will be equal to zero.
△ = 1 2 | 1 2 1 3 6 1 x y 1 | = 0
So, we have:
= 1 ( 6 − y ) − 2 ( 3 − x ) + 1 ( 3 y − 6 x ) = 0
or 6 − y − 6 + 2 x + 3 y − 6 x = 0 ⇒ 2 y − 4 x = 0
Hence, we have the equation of line ⇒ y = 2 x .
Question 4(ii): Find the equation of line joining (3,1) and (9,3) using determinants.
Answer:
We can find the equation of the line by considering any arbitrary point A ( x , y ) on line.
So, we have three points which are collinear and therefore the area surrounded by them will be equal to zero.
△ = 1 2 | 3 1 1 9 3 1 x y 1 | = 0
Calculating the determinant:
= 1 2 [ 3 | 3 1 y 1 | − 1 | 9 1 x 1 | + 1 | 9 3 x y | ]
= 1 2 [ 3 ( 3 − y ) − 1 ( 9 − x ) + 1 ( 9 y − 3 x ) ] = 0
1 2 [ 9 − 3 y − 9 + x + 9 y − 3 x ] = 1 2 [ 6 y − 2 x ] = 0
Hence, we have the line equation:
3 y = x or x − 3 y = 0 .
Question 5: If the area of the triangle is 35 sq units with vertices (2,−6),(5,4) and (k,4). Then k is
(A) 12 (B) − 2 (C) − 12 , − 2 (D) 12 , − 2
Answer:
Area of a triangle is given by:
△ = 1 2 | 2 − 6 1 5 4 1 k 4 1 | = 35 s q . u n i t s .
or | 2 − 6 1 5 4 1 k 4 1 | = 70 s q . u n i t s .
2 | 4 1 4 1 | − ( − 6 ) | 5 1 k 1 | + 1 | 5 4 k 4 | = 70
2 ( 4 − 4 ) + 6 ( 5 − k ) + ( 20 − 4 k ) = ± 70
50 − 10 k = ± 70
k = 12 or k = − 2
Hence, the possible values of k are 12 and -2.
Therefor,e option (D) is correct.
Determinants class 12 questions and answers: Exercise: 4.3 Page number: 87 Total Questions: 5 |
Question 1(i): Write Minors and Cofactors of the elements of the following determinants:
Answer:
Given determinant: | 2 − 4 0 3 |
Minor of element a i j is M i j.
Therefore we have
M 11 = minor of element a 11 = 3
M 12 = minor of element a 12 = 0
M 21 = minor of element a 21 = -4
M 22 = minor of element a 22 = 2
and finding cofactors of a i j is A i j = ( − 1 ) i + j M i j .
Therefore, we have:
A 11 = ( − 1 ) 1 + 1 M 11 = ( − 1 ) 2 ( 3 ) = 3
A 12 = ( − 1 ) 1 + 2 M 12 = ( − 1 ) 3 ( 0 ) = 0
A 21 = ( − 1 ) 2 + 1 M 21 = ( − 1 ) 3 ( − 4 ) = 4
A 22 = ( − 1 ) 2 + 2 M 22 = ( − 1 ) 4 ( 2 ) = 2
Question 1(ii): Write Minors and Cofactors of the elements of the following determinants:
Answer:
GIven determinant: | a c b d |
Minor of element a i j is M i j .
Therefore we have
M 11 = minor of element a 11 = d
M 12 = minor of element a 12 = b
M 21 = minor of element a 21 = c
M 22 = minor of element a 22 = a
and finding cofactors of a i j is A i j = ( − 1 ) i + j M i j .
Therefore, we have:
A 11 = ( − 1 ) 1 + 1 M 11 = ( − 1 ) 2 ( d ) = d
A 12 = ( − 1 ) 1 + 2 M 12 = ( − 1 ) 3 ( b ) = − b
A 21 = ( − 1 ) 2 + 1 M 21 = ( − 1 ) 3 ( c ) = − c
A 22 = ( − 1 ) 2 + 2 M 22 = ( − 1 ) 4 ( a ) = a
Question 2(i): Write Minors and Cofactors of the elements of the following determinants:
Answer:
Given determinant: | 1 0 0 0 1 0 0 0 1 |
Finding Minors: by the definition,
M 11 = minor of a 11 = | 1 0 0 1 | = 1 M 12 = minor of a 12 = | 0 0 0 1 | = 0
M 13 = minor of a 13 = | 0 1 0 0 | = 0 M 21 = minor of a 21 = | 0 0 0 1 | = 0
M 22 = minor of a 22 = | 1 0 0 1 | = 1 M 23 = minor of a 23 = | 1 0 0 0 | = 0
M 31 = minor of a 31 = | 0 0 1 0 | = 0 M 32 = minor of a 32 = | 1 0 0 0 | = 0
M 33 = minor of a 33 = | 1 0 0 1 | = 1
Finding the cofactors:
A 11 = cofactor of a 11 = ( − 1 ) 1 + 1 M 11 = 1
A 12 = cofactor of a 12 = ( − 1 ) 1 + 2 M 12 = 0
A 13 = cofactor of a 13 = ( − 1 ) 1 + 3 M 13 = 0
A 21 = cofactor of a 21 = ( − 1 ) 2 + 1 M 21 = 0
A 22 = cofactor of a 22 = ( − 1 ) 2 + 2 M 22 = 1
A 23 = cofactor of a 23 = ( − 1 ) 2 + 3 M 23 = 0
A 31 = cofactor of a 31 = ( − 1 ) 3 + 1 M 31 = 0
A 32 = cofactor of a 32 = ( − 1 ) 3 + 2 M 32 = 0
A 33 = cofactor of a 33 = ( − 1 ) 3 + 3 M 33 = 1 .
Question 2(ii): Write Minors and Cofactors of the elements of the following determinants:
Answer:
Given determinant: | 1 0 4 3 5 − 1 0 1 2 |
Finding Minors: by the definition,
M 11 = minor of a 11 = | 5 − 1 1 2 | = 11 M 12 = minor of a 12 = | 3 − 1 0 2 | = 6
M 13 = minor of a 13 = | 3 5 0 1 | = 3 M 21 = minor of a 21 = | 0 4 1 2 | = − 4
M 22 = minor of a 22 = | 1 4 0 2 | = 2 M 23 = minor of a 23 = | 1 0 0 1 | = 1
M 31 = minor of a 31 = | 0 4 5 − 1 | = − 20
M 32 = minor of a 32 = | 1 4 3 − 1 | = − 1 − 12 = − 13
M 33 = minor of a 33 = | 1 0 3 5 | = 5
Finding the cofactors:
A 11 = cofactor of a 11 = ( − 1 ) 1 + 1 M 11 = 11
A 12 = cofactor of a 12 = ( − 1 ) 1 + 2 M 12 = − 6
A 13 = cofactor of a 13 = ( − 1 ) 1 + 3 M 13 = 3
A 21 = cofactor of a 21 = ( − 1 ) 2 + 1 M 21 = 4
A 22 = cofactor of a 22 = ( − 1 ) 2 + 2 M 22 = 2
A 23 = cofactor of a 23 = ( − 1 ) 2 + 3 M 23 = − 1
A 31 = cofactor of a 31 = ( − 1 ) 3 + 1 M 31 = − 20
A 32 = cofactor of a 32 = ( − 1 ) 3 + 2 M 32 = 13
A 33 = cofactor of a 33 = ( − 1 ) 3 + 3 M 33 = 5 .
Question 3: Using Cofactors of elements of the second row, evaluate .Δ=|538201123|
Answer:
Given determinant : Δ = | 5 3 8 2 0 1 1 2 3 |
First finding Minors of the second rows by the definition,
M 21 = minor of a 21 = | 3 8 2 3 | = 9 − 16 = − 7
M 22 = minor of a 22 = | 5 8 1 3 | = 15 − 8 = 7
M 23 = minor of a 23 = | 5 3 1 2 | = 10 − 3 = 7
Finding the Cofactors of the second row:
A 21 = Cofactor of a 21 = ( − 1 ) 2 + 1 M 21 = 7
A 22 = Cofactor of a 22 = ( − 1 ) 2 + 2 M 22 = 7
A 23 = Cofactor of a 23 = ( − 1 ) 2 + 3 M 23 = − 7
Therefore, we can calculate △ by sum of the product of the elements of the second row with their corresponding cofactors.
Therefore, we have,
△ = a 21 A 21 + a 22 A 22 + a 23 A 23 = 2 ( 7 ) + 0 ( 7 ) + 1 ( − 7 ) = 14 − 7 = 7
Question 4: Using Cofactors of elements of the third column, evaluate Δ=|1xyz1yzx1zxy|
Answer:
Given determinant : Δ = | 1 x y z 1 y z x 1 z x y |
First finding Minors of the third column by the definition,
M 13 = minor of a 13 = | 1 y 1 z | = z − y
M 23 = minor of a 23 = | 1 x 1 z | = z − x
M 33 = minor of a 33 = | 1 x 1 y | = y − x
Finding the Cofactors of the second row:
A 13 = Cofactor of a 13 = ( − 1 ) 1 + 3 M 13 = z − y
A 23 = Cofactor of a 23 = ( − 1 ) 2 + 3 M 23 = x − z
A 33 = Cofactor of a 33 = ( − 1 ) 3 + 3 M 33 = y − x
Therefore, we can calculate △ by sum of the product of the elements of the third column with their corresponding cofactors.
Therefore we have,
△ = a 13 A 13 + a 23 A 23 + a 33 A 33
= ( z − y ) y z + ( x − z ) z x + ( y − x ) x y
= y z 2 − y 2 z + z x 2 − x z 2 + x y 2 − x 2 y
= z ( x 2 − y 2 ) + z 2 ( y − x ) + x y ( y − x )
= ( x − y ) [ z x + z y − z 2 − x y ]
= ( x − y ) [ z ( x − z ) + y ( z − x ) ]
= ( x − y ) ( z − x ) [ − z + y ]
= ( x − y ) ( y − z ) ( z − x )
Thus, we have value of △ = ( x − y ) ( y − z ) ( z − x ) .
Question 5: If Δ = | a 11 a 12 a 13 a 21 a 22 a 23 a 31 a 32 a 33 | and A i j is the cofactor of a i j , then the value of Δ is given by:
(A) a 11 A 31 + a 12 A 32 + a 13 A 33
(B) a 11 A 11 + a 12 A 21 + a 13 A 31
(C) a 21 A 11 + a 22 A 12 + a 23 A 13
(D) a 11 A 11 + a 21 A 21 + a 31 A 31
Answer: (D) a 11 A 11 + a 21 A 21 + a 31 A 31
By the definition itself, Δ is equal to the sum of the products of the elements of any row or column with their corresponding cofactors.
Determinants class 12 questions and answers: Exercise: 4.4 Page number: 92-93 Total Questions: 18 |
Question 1: Find adjoint of each of the matrices.
Answer:
Given matrix: [ 1 2 3 4 ] = A
Then we have,
A 11 = 4 , A 12 = − ( 1 ) 3 , A 21 = − ( 1 ) 2 , a n d A 22 = 1
Hence, we get:
a d j A = [ A 11 A 12 A 21 A 22 ] T = [ A 11 A 21 A 12 A 22 ] = [ 4 − 2 − 3 1 ]
Question 2: Find the adjoint of each of the matrices
Answer:
Given the matrix: A = [ 1 − 1 2 2 3 5 − 2 0 1 ]
Then we have,
A 11 = ( − 1 ) 1 + 1 | 3 5 0 1 | = ( 3 − 0 ) = 3
A 12 = ( − 1 ) 1 + 2 | 2 5 − 2 1 | = − ( 2 + 10 ) = − 12
A 13 = ( − 1 ) 1 + 3 | 2 3 − 2 0 | = 0 + 6 = 6
A 21 = ( − 1 ) 2 + 1 | − 1 2 0 1 | = − ( − 1 − 0 ) = 1
A 22 = ( − 1 ) 2 + 2 | 1 2 − 2 1 | = ( 1 + 4 ) = 5
A 23 = ( − 1 ) 2 + 3 | 1 − 1 − 2 0 | = − ( 0 − 2 ) = 2
A 31 = ( − 1 ) 3 + 1 | − 1 2 3 5 | = ( − 5 − 6 ) = − 11
A 32 = ( − 1 ) 3 + 2 | 1 2 2 5 | = − ( 5 − 4 ) = − 1
A 33 = ( − 1 ) 3 + 3 | 1 − 1 2 3 | = ( 3 + 2 ) = 5
Hence, we get:
a d j A = [ A 11 A 21 A 31 A 12 A 22 A 32 A 13 A 23 A 33 ] = [ 3 1 − 11 − 12 5 − 1 6 2 5 ]
Question 3: Verify A(adjA)=(adjA)A=|A|I.
Answer:
Given the matrix: [ 2 3 − 4 − 6 ]
Let A = [ 2 3 − 4 − 6 ]
Calculating the cofactors;
A 11 = ( − 1 ) 1 + 1 ( − 6 ) = − 6
A 12 = ( − 1 ) 1 + 2 ( − 4 ) = 4
A 21 = ( − 1 ) 2 + 1 ( 3 ) = − 3
A 22 = ( − 1 ) 2 + 2 ( 2 ) = 2
Hence, a d j A = [ − 6 − 3 4 2 ]
Now,
A ( a d j A ) = [ 2 3 − 4 − 6 ] ( [ − 6 − 3 4 2 ] )
[ − 12 + 12 − 6 + 6 24 − 24 12 − 12 ] = [ 0 0 0 0 ]
aslo,
( a d j A ) A = [ − 6 − 3 4 2 ] [ 2 3 − 4 − 6 ]
= [ − 12 + 12 − 18 + 18 8 − 8 12 − 12 ] = [ 0 0 0 0 ]
Now, calculating |A|;
| A | = − 12 − ( − 12 ) = − 12 + 12 = 0
So, | A | I = 0 [ 1 0 0 1 ] = [ 0 0 0 0 ]
Hence we get
A ( a d j A ) = ( a d j A ) A = | A | I
Question 4: Verify A(adjA)=(adjA)A=|A|I.
Answer:
Given matrix: [ 1 − 1 2 3 0 − 2 1 0 3 ]
Let A = [ 1 − 1 2 3 0 − 2 1 0 3 ]
Calculating the cofactors;
A 11 = ( − 1 ) 1 + 1 | 0 − 2 0 3 | = 0
A 12 = ( − 1 ) 1 + 2 | 3 − 2 1 3 | = − ( 9 + 2 ) = − 11
A 13 = ( − 1 ) 1 + 3 | 3 0 1 0 | = 0
A 21 = ( − 1 ) 2 + 1 | − 1 2 0 3 | = − ( − 3 − 0 ) = 3
A 22 = ( − 1 ) 2 + 2 | 1 2 1 3 | = 3 − 2 = 1
A 23 = ( − 1 ) 2 + 3 | 1 − 1 1 0 | = − ( 0 + 1 ) = − 1
A 31 = ( − 1 ) 3 + 1 | − 1 2 0 − 2 | = 2
A 32 = ( − 1 ) 3 + 2 | 1 2 3 − 2 | = − ( − 2 − 6 ) = 8
A 33 = ( − 1 ) 3 + 3 | 1 − 1 3 0 | = 0 + 3 = 3
Hence, a d j A = [ 0 3 2 − 11 1 8 0 − 1 3 ]
Now,
A ( a d j A ) = [ 1 − 1 2 3 0 − 2 1 0 3 ] [ 0 3 2 − 11 1 8 0 − 1 3 ]
= [ 0 + 11 + 0 3 − 1 − 2 2 − 8 + 6 0 + 0 + 0 9 + 0 + 2 6 + 0 − 6 0 + 0 + 0 3 + 0 − 3 2 + 0 + 9 ] = [ 11 0 0 0 11 0 0 0 11 ]
also,
A ( a d j A ) = [ 0 3 2 − 11 1 8 0 − 1 3 ] [ 1 − 1 2 3 0 − 2 1 0 3 ]
= [ 0 + 9 + 2 0 + 0 + 0 0 − 6 + 6 − 11 + 3 + 8 11 + 0 + 0 − 22 − 2 + 24 0 − 3 + 3 0 + 0 + 0 0 + 2 + 9 ] = [ 11 0 0 0 11 0 0 0 11 ]
Now, calculating |A|;
| A | = 1 ( 0 − 0 ) + 1 ( 9 + 2 ) + 2 ( 0 − 0 ) = 11
So, | A | I = 11 [ 1 0 0 0 1 0 0 0 1 ] = [ 11 0 0 0 11 0 0 0 11 ]
Hence we get,
A ( a d j A ) = ( a d j A ) A = | A | I .
Question:5 Find the inverse of each of the matrices (if it exists).
Answer:
Given matrix : [ 2 − 2 4 3 ]
To find the inverse, we have to first find adjA then as we know the relation:
A − 1 = 1 | A | a d j A
So, calculating |A| :
|A| = (6+8) = 14
Now, calculating the cofactors terms and then adjA.
A 11 = ( − 1 ) 1 + 1 ( 3 ) = 3
A 12 = ( − 1 ) 1 + 2 ( 4 ) = − 4
A 21 = ( − 1 ) 2 + 1 ( − 2 ) = 2
A 22 = ( − 1 ) 2 + 2 ( 2 ) = 2
So, we have a d j A = [ 3 2 − 4 2 ]
Therefore inverse of A will be:
A − 1 = 1 | A | a d j A
= 1 14 [ 3 2 − 4 2 ] = [ 3 14 1 7 − 2 7 1 7 ]
Question:6 Find the inverse of each of the matrices (if it exists).
Answer:
Given the matrix : [ − 1 5 − 3 2 ] = A
To find the inverse, we have to first find adjA then as we know the relation:
A − 1 = 1 | A | a d j A
So, calculating |A| :
|A| = (-2+15) = 13
Now, calculating the cofactors terms and then adjA.
A 11 = ( − 1 ) 1 + 1 ( 2 ) = 2
A 12 = ( − 1 ) 1 + 2 ( − 3 ) = 3
A 21 = ( − 1 ) 2 + 1 ( 5 ) = − 5
A 22 = ( − 1 ) 2 + 2 ( − 1 ) = − 1
So, we have a d j A = [ 2 − 5 3 − 1 ]
Therefore inverse of A will be:
A − 1 = 1 | A | a d j A
= 1 13 [ 2 − 5 3 − 1 ] = [ 2 13 − 5 13 3 13 − 1 13 ]
Question:7 Find the inverse of each of the matrices (if it exists).
Answer:
Given the matrix : [ 1 2 3 0 2 4 0 0 5 ] = A
To find the inverse we have to first find adjA then as we know the relation:
A − 1 = 1 | A | a d j A
So, calculating |A| :
| A | = 1 ( 10 − 0 ) − 2 ( 0 − 0 ) + 3 ( 0 − 0 ) = 10
Now, calculating the cofactors terms and then adjA.
A 11 = ( − 1 ) 1 + 1 ( 10 ) = 10 A 12 = ( − 1 ) 1 + 2 ( 0 ) = 0
A 13 = ( − 1 ) 1 + 3 ( 0 ) = 0 A 21 = ( − 1 ) 2 + 1 ( 10 ) = − 10
A 22 = ( − 1 ) 2 + 2 ( 5 − 0 ) = 5 A 23 = ( − 1 ) 2 + 1 ( 0 − 0 ) = 0
A 31 = ( − 1 ) 3 + 1 ( 8 − 6 ) = 2 A 32 = ( − 1 ) 3 + 2 ( 4 − 0 ) = − 4
A 33 = ( − 1 ) 3 + 3 ( 2 − 0 ) = 2
So, we have a d j A = [ 10 − 10 2 0 5 − 4 0 0 2 ]
Therefore inverse of A will be:
A − 1 = 1 | A | a d j A
= 1 10 [ 10 − 10 2 0 5 − 4 0 0 2 ]
Question:8 Find the inverse of each of the matrices (if it exists).
Answer:
Given the matrix : [ 1 0 0 3 3 0 5 2 − 1 ] = A
To find the inverse, we have to first find adjA then as we know the relation:
A − 1 = 1 | A | a d j A
So, calculating |A| :
| A | = 1 ( − 3 − 0 ) − 0 ( − 3 − 0 ) + 0 ( 6 − 15 ) = − 3
Now, calculating the cofactors terms and then adjA.
A 11 = ( − 1 ) 1 + 1 ( − 3 − 0 ) = − 3 A 12 = ( − 1 ) 1 + 2 ( − 3 − 0 ) = 3
A 13 = ( − 1 ) 1 + 3 ( 6 − 15 ) = − 9 A 21 = ( − 1 ) 2 + 1 ( 0 − 0 ) = 0
A 22 = ( − 1 ) 2 + 2 ( − 1 − 0 ) = − 1 A 23 = ( − 1 ) 2 + 1 ( 2 − 0 ) = − 2
A 31 = ( − 1 ) 3 + 1 ( 0 − 0 ) = 0 A 32 = ( − 1 ) 3 + 2 ( 0 − 0 ) = 0
A 33 = ( − 1 ) 3 + 3 ( 3 − 0 ) = 3
So, we have a d j A = [ − 3 0 0 3 − 1 0 − 9 − 2 3 ]
Therefore inverse of A will be:
A − 1 = 1 | A | a d j A
= − 1 3 [ − 3 0 0 3 − 1 0 − 9 − 2 3 ]
Question:9 Find the inverse of each of the matrices (if it exists).
Answer:
Given the matrix : [ 2 1 3 4 − 1 0 − 7 2 1 ] = A
To find the inverse we have to first find adjA then as we know the relation:
A − 1 = 1 | A | a d j A
So, calculating |A| :
| A | = 2 ( − 1 − 0 ) − 1 ( 4 − 0 ) + 3 ( 8 − 7 ) = − 2 − 4 + 3 = − 3
Now, calculating the cofactors terms and then adjA.
A 11 = ( − 1 ) 1 + 1 ( − 1 − 0 ) = − 1 A 12 = ( − 1 ) 1 + 2 ( 4 − 0 ) = − 4
A 13 = ( − 1 ) 1 + 3 ( 8 − 7 ) = 1 A 21 = ( − 1 ) 2 + 1 ( 1 − 6 ) = 5
A 22 = ( − 1 ) 2 + 2 ( 2 + 21 ) = 23 A 23 = ( − 1 ) 2 + 1 ( 4 + 7 ) = − 11
A 31 = ( − 1 ) 3 + 1 ( 0 + 3 ) = 3 A 32 = ( − 1 ) 3 + 2 ( 0 − 12 ) = 12
A 33 = ( − 1 ) 3 + 3 ( − 2 − 4 ) = − 6
So, we have a d j A = [ − 1 5 3 − 4 23 12 1 − 11 − 6 ]
Therefore inverse of A will be:
A − 1 = 1 | A | a d j A
A − 1 = 1 − 3 [ − 1 5 3 − 4 23 12 1 − 11 − 6 ]
Question:10 Find the inverse of each of the matrices (if it exists).
Answer:
Given the matrix : [ 1 − 1 2 0 2 − 3 3 − 2 4 ] = A
To find the inverse we have to first find adjA then as we know the relation:
A − 1 = 1 | A | a d j A
So, calculating |A| :
| A | = 1 ( 8 − 6 ) + 1 ( 0 + 9 ) + 2 ( 0 − 6 ) = 2 + 9 − 12 = − 1
Now, calculating the cofactors terms and then adjA.
A 11 = ( − 1 ) 1 + 1 ( 8 − 6 ) = 2 A 12 = ( − 1 ) 1 + 2 ( 0 + 9 ) = − 9
A 13 = ( − 1 ) 1 + 3 ( 0 − 6 ) = − 6 A 21 = ( − 1 ) 2 + 1 ( − 4 + 4 ) = 0
A 22 = ( − 1 ) 2 + 2 ( 4 − 6 ) = − 2 A 23 = ( − 1 ) 2 + 1 ( − 2 + 3 ) = − 1
A 31 = ( − 1 ) 3 + 1 ( 3 − 4 ) = − 1 A 32 = ( − 1 ) 3 + 2 ( − 3 − 0 ) = 3
A 33 = ( − 1 ) 3 + 3 ( 2 − 0 ) = 2
So, we have a d j A = [ 2 0 − 1 − 9 − 2 3 − 6 − 1 2 ]
Therefore inverse of A will be:
A − 1 = 1 | A | a d j A
A − 1 = 1 − 1 [ 2 0 − 1 − 9 − 2 3 − 6 − 1 2 ]
A − 1 = [ − 2 0 1 9 2 − 3 6 1 − 2 ]
Question:11 Find the inverse of each of the matrices (if it exists).
[ 1 0 0 0 cos α sin α 0 sin α − cos α ]
Answer:
Given the matrix : [ 1 0 0 0 cos α sin α 0 sin α − cos α ] = A
To find the inverse we have to first find adjA then as we know the relation:
A − 1 = 1 | A | a d j A
So, calculating |A| :
| A | = 1 ( − cos 2 α − sin 2 α ) + 0 ( 0 − 0 ) + 0 ( 0 − 0 )
= − ( cos 2 α + sin 2 α ) = − 1
Now, calculating the cofactors terms and then adjA.
A 11 = ( − 1 ) 1 + 1 ( − cos 2 α − sin 2 α ) = − 1 A 12 = ( − 1 ) 1 + 2 ( 0 − 0 ) = 0
A 13 = ( − 1 ) 1 + 3 ( 0 − 0 ) = 0 A 21 = ( − 1 ) 2 + 1 ( 0 − 0 ) = 0
A 22 = ( − 1 ) 2 + 2 ( − cos α − 0 ) = − cos α A 23 = ( − 1 ) 2 + 1 ( sin α − 0 ) = − sin α
A 31 = ( − 1 ) 3 + 1 ( 0 − 0 ) = 0 A 32 = ( − 1 ) 3 + 2 ( sin α − 0 ) = − sin α
A 33 = ( − 1 ) 3 + 3 ( cos α − 0 ) = cos α
So, we have a d j A = [ − 1 0 0 0 − cos α − sin α 0 − sin α cos α ]
Therefore inverse of A will be:
A − 1 = 1 | A | a d j A
A − 1 = 1 − 1 [ − 1 0 0 0 − cos α − sin α 0 − sin α cos α ] = [ 1 0 0 0 cos α sin α 0 sin α − cos α ]
Question:12 Let A=[3725] and B=[6879]. Verify that (AB)−1=B−1A−1.
Answer:
We have A = [ 3 7 2 5 ] and B = [ 6 8 7 9 ] .
then calculating;
A B = [ 3 7 2 5 ] [ 6 8 7 9 ]
= [ 18 + 49 24 + 63 12 + 35 16 + 45 ] = [ 67 87 47 61 ]
Finding the inverse of AB.
Calculating the cofactors fo AB:
A B 11 = ( − 1 ) 1 + 1 ( 61 ) = 61 A B 12 = ( − 1 ) 1 + 2 ( 47 ) = − 47
A B 21 = ( − 1 ) 2 + 1 ( 87 ) = − 87 A B 22 = ( − 1 ) 2 + 2 ( 67 ) = 67
Then we have adj(AB):
a d j ( A B ) = [ 61 − 87 − 47 67 ]
and |AB| = 61(67) - (-87)(-47) = 4087-4089 = -2
Therefore, we have inverse:
( A B ) − 1 = 1 | A B | a d j ( A B ) = − 1 2 [ 61 − 87 − 47 67 ]
= [ − 61 2 87 2 47 2 − 67 2 ] .....................................(1)
Now, calculating inverses of A and B.
|A| = 15-14 = 1 and |B| = 54- 56 = -2
a d j A = [ 5 − 7 − 2 3 ] and a d j B = [ 9 − 8 − 7 6 ]
therefore we have
A − 1 = 1 | A | a d j A = 1 1 [ 5 − 7 − 2 3 ] and B − 1 = 1 | B | a d j B = 1 − 2 [ 9 − 8 − 7 6 ] = [ − 9 2 4 7 2 − 3 ]
Now calculating B − 1 A − 1 .
B − 1 A − 1 = [ − 9 2 4 7 2 − 3 ] [ 5 − 7 − 2 3 ]
= [ − 45 2 − 8 63 2 + 12 35 2 + 6 − 49 2 − 9 ] = [ − 61 2 87 2 47 2 − 67 2 ] ........................(2)
From (1) and (2) we get
( A B ) − 1 = B − 1 A − 1
Hence proved.
Question:13 If A=[31−12]? , show that A2−5A+7I=O. Hence find A−1.
Answer:
Given A = [ 3 1 − 1 2 ] then we have to show the relation A 2 − 5 A + 7 I = 0
So, calculating each term;
A 2 = [ 3 1 − 1 2 ] [ 3 1 − 1 2 ] = [ 9 − 1 3 + 2 − 3 − 2 − 1 + 4 ] = [ 8 5 − 5 3 ]
Therefore A 2 − 5 A + 7 I ;
= [ 8 5 − 5 3 ] − 5 [ 3 1 − 1 2 ] + 7 [ 1 0 0 1 ]
= [ 8 5 − 5 3 ] − [ 15 5 − 5 10 ] + [ 7 0 0 7 ]
[ 8 − 15 + 7 5 − 5 + 0 − 5 + 5 + 0 3 − 10 + 7 ] = [ 0 0 0 0 ]
Hence A 2 − 5 A + 7 I = 0 .
∴ A . A − 5 A = − 7 I
⇒ A . A ( A − 1 ) − 5 A A − 1 = − 7 I A − 1
[Post multiplying by A − 1 , also | A | ≠ 0 ]
⇒ A ( A A − 1 ) − 5 I = − 7 A − 1
⇒ A I − 5 I = − 7 A − 1
⇒ − 1 7 ( A I − 5 I ) = 1 7 ( 5 I − A )
∴ A − 1 = 1 7 ( 5 [ 1 0 0 1 ] − [ 3 1 − 1 2 ] ) = 1 7 [ 2 − 1 1 3 ]
Question:14 For the matrix A=[3211] , find the numbers a and b such that A2+aA+bI=0.
Answer:
Given A = [ 3 2 1 1 ] then we have the relation A 2 + a A + b I = O
So, calculating each term;
A 2 = [ 3 2 1 1 ] [ 3 2 1 1 ] = [ 9 + 2 6 + 2 3 + 1 2 + 1 ] = [ 11 8 4 3 ]
therefore A 2 + a A + b I = O ;
= [ 11 8 4 3 ] + a [ 3 2 1 1 ] + b [ 1 0 0 1 ] = [ 0 0 0 0 ]
[ 11 + 3 a + b 8 + 2 a 4 + a 3 + a + b ] = [ 0 0 0 0 ]
So, we have equations;
11 + 3 a + b = 0 , 8 + 2 a = 0 and 4 + a = 0 , a n d 3 + a + b = 0
We get a = − 4 and b = 1 .
Question:15 For the matrix A=[11112−32−13] Show that A3−6A2+5A+11I=O Hence, find A−1.
Answer:
Given matrix: A = [ 1 1 1 1 2 − 3 2 − 1 3 ] ;
To show: A 3 − 6 A 2 + 5 A + 11 I = O
Finding each term:
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 ]
= [ 4 2 1 − 3 8 − 14 7 − 3 14 ]
A 3 = [ 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 + 16 + 14 − 3 − 24 − 42 7 − 3 + 28 7 − 6 − 14 7 + 9 + 42 ]
= [ 8 7 1 − 23 27 − 69 32 − 13 58 ]
So now we have, 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 7 1 − 23 27 − 69 32 − 13 58 ] − [ 24 12 6 − 18 48 − 84 42 − 18 84 ] + [ 5 5 5 5 10 − 15 10 − 5 15 ] + [ 11 0 0 0 11 0 0 0 11 ]
= [ 8 − 24 + 5 + 11 7 − 12 + 5 1 − 6 + 5 − 23 + 18 + 5 27 − 48 + 10 + 11 − 69 + 84 − 15 32 − 42 + 10 − 13 + 18 − 5 58 − 84 + 15 + 11 ]
= [ 0 0 0 0 0 0 0 0 0 ] = 0
Now finding the inverse of A;
Post-multiplying by A − 1 as, | A | ≠ 0
⇒ ( A A A ) A − 1 − 6 ( A A ) A − 1 + 5 A A − 1 + 11 I A − 1 = 0
⇒ A A ( A A − 1 ) − 6 A ( A A − 1 ) + 5 ( A A − 1 ) = − 11 I A − 1
⇒ A 2 − 6 A + 5 I = − 11 A − 1
A − 1 = − 1 11 ( A 2 − 6 A + 5 I ) ...................(1)
Now,
From equation (1) we get;
A − 1 = − 1 11 ( [ 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 ] )
A − 1 = − 1 11 ( [ 4 − 6 + 5 2 − 6 1 − 6 − 3 − 6 8 − 12 + 5 − 14 + 18 7 − 12 − 3 + 6 14 − 18 + 5 ]
A − 1 = − 1 11 ( [ 3 − 4 − 5 − 9 1 4 − 5 3 1 ]
Question:16 If A=[2−11−12−11−12] , verify that A3−6A2+9A−4I=O. Hence, find A−1.
Answer:
Given matrix: A = [ 2 − 1 1 − 1 2 − 1 1 − 1 2 ] ;
To show: A 3 − 6 A 2 + 9 A − 4 I
Finding each term:
A 2 = [ 2 − 1 1 − 1 2 − 1 1 − 1 2 ] [ 2 − 1 1 − 1 2 − 1 1 − 1 2 ]
= [ 4 + 1 + 1 − 2 − 2 − 1 2 + 1 + 2 − 2 − 2 − 1 1 + 4 + 1 − 1 − 2 − 2 2 + 1 + 2 − 1 − 2 − 2 1 + 1 + 4 ]
= [ 6 − 5 5 − 5 6 − 5 5 − 5 6 ]
A 3 = [ 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 ]
So now we have, 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 − 21 21 − 21 22 − 21 21 − 21 22 ] − [ 36 − 30 30 − 30 36 − 30 30 − 30 36 ] + [ 18 − 9 9 − 9 18 − 9 9 − 9 18 ] − [ 4 0 0 0 4 0 0 0 4 ]
= [ 22 − 36 + 18 − 4 − 21 + 30 − 9 21 − 30 + 9 − 21 + 30 − 9 22 − 36 + 18 − 4 − 21 + 30 − 9 21 − 30 + 9 − 21 + 30 − 9 22 − 36 + 18 − 4 ]
= [ 0 0 0 0 0 0 0 0 0 ] = O
Now finding the inverse of A;
Post-multiplying by A − 1 as, | A | ≠ 0
⇒ ( A A A ) A − 1 − 6 ( A A ) A − 1 + 9 A A − 1 − 4 I A − 1 = 0
⇒ A A ( A A − 1 ) − 6 A ( A A − 1 ) + 9 ( A A − 1 ) = 4 I A − 1
⇒ A 2 − 6 A + 9 I = 4 A − 1
A − 1 = 1 4 ( A 2 − 6 A + 9 I ) ...................(1)
Now,
From equation (1) we get;
A − 1 = 1 4 ( [ 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 ] )
A − 1 = 1 4 [ 6 − 12 + 9 − 5 + 6 5 − 6 − 5 + 6 6 − 12 + 9 − 5 + 6 5 − 6 − 5 + 6 6 − 12 + 9 ]
Hence inverse of A is :
A − 1 = 1 4 [ 3 1 − 1 1 3 1 − 1 1 3 ]
Question:17 Let A be a nonsingular square matrix of order 3×3. Then |adjA| is equal to
(A) | A | (B) | A | 2 (C) | A | 3 (D) 3 | A |
Answer:
We know the identity ( a d j A ) A = | A | I
Hence, we can determine the value of | ( a d j A ) | .
Taking both sides determinant value, we get,
| ( a d j A ) A | = | | A | I | or | ( a d j A ) | | A | = | | A | | | I |
or taking R.H.S.,
| | A | | | I | = | | A | 0 0 0 | A | 0 0 0 | A | |
= | A | ( | A | 2 ) = | A | 3
or, we have then | ( a d j A ) | | A | = | A | 3
Therefore | ( a d j A ) | = | A | 2
Hence, the correct answer is B.
Question:18 If A is an invertible matrix of order 2, then det (A−1) is equal to 1det(A).
(A) d e t ( A ) (B) 1 d e t ( A ) (C) 1 (D) 0
Answer:
Given that the matrix is invertible, hence A − 1 exists and A − 1 = 1 | A | a d j A
Let us assume a matrix of the order of 2;
A = [ a b c d ] .
Then | A | = a d − b c .
a d j A = [ d − b − c a ] and | a d j A | = a d − b c
Now,
A − 1 = 1 | A | a d j A
Taking determinant both sides;
| A − 1 | = | 1 | A | a d j A | = [ d | A | − b | A | − c | A | a | A | ]
∴ | A − 1 | = | d | A | − b | A | − c | A | a | A | | = 1 | A | 2 | d − b − c a | = 1 | A | 2 ( a d − b c ) = 1 | A | 2 . | A | = 1 | A |
Therefore, we get;
| A − 1 | = 1 | A |
Hence, the correct answer is B.
Determinants class 12 questions and answers: Exercise: 4.5 Page number: 97-98 Total Questions: 16 |
Question:1 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
x + 2 y = 2
2 x + 3 y = 3
The given system of equations can be written in the form of the matrix; A X = B
where A = [ 1 2 2 3 ] ,
X = [ x y ] and
B = [ 2 3 ] .
So, we want to check for the consistency of the equations.
| A | = 1 ( 3 ) − 2 ( 2 ) = − 1 ≠ 0
Here, A is non -singular therefore, there exists A − 1 .
Hence, the given system of equations is consistent.
Question:2 Examine the consistency of the system of equations
Answer:
We have given the system of equations:
2 x − y = 5
x + y = 4
The given system of equations can be written in the form of matrix; A X = B
where A = [ 2 − 1 1 1 ] ,
X = [ x y ] and
B = [ 5 4 ] .
So, we want to check for the consistency of the equations;
| A | = 2 ( 1 ) − 1 ( − 1 ) = 3 ≠ 0
Here, A is non -singular therefore, there exists A − 1 .
Hence, the given system of equations is consistent.
Question:3 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
x + 3 y = 5
2 x + 6 y = 8
The given system of equations can be written in the form of the matrix; A X = B
where A = [ 1 3 2 6 ] ,
X = [ x y ] and
B = [ 5 8 ] .
So, we want to check for the consistency of the equations;
| A | = 1 ( 6 ) − 2 ( 3 ) = 0
Here, A is singular matrix therefore, now we will check whether the ( a d j A ) B is zero or non-zero.
a d j A = [ 6 − 3 − 2 1 ]
So, ( a d j A ) B = [ 6 − 3 − 2 1 ] [ 5 8 ] = [ 30 − 24 − 10 + 8 ] = [ 6 − 2 ] ≠ 0
As, ( a d j A ) B ≠ 0 , the solution of the given system of equations does not exist.
Hence, the given system of equations is inconsistent.
Question:4 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
x + y + z = 1
2 x + 3 y + 2 z = 2
a x + a y + 2 a z = 4
The given system of equations can be written in the form of the matrix; A X = B
where A = [ 1 1 1 2 3 2 a a 2 a ] ,
X = [ x y z ] and
B = [ 1 2 4 ] .
So, we want to check for the consistency of the equations;
| A | = 1 ( 6 a − 2 a ) − 1 ( 4 a − 2 a ) + 1 ( 2 a − 3 a )
= 4 a − 2 a − a = 4 a − 3 a = a ≠ 0
[If zero then it won't satisfy the third equation]
Here A is non- singular matrix therefore there exist A − 1 .
Hence, the given system of equations is consistent.
Question:5 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
3 x − y − 2 z = 2
2 y − z = − 1
3 x − 5 y = 3
The given system of equations can be written in the form of matrix; A X = B
where A = [ 3 − 1 − 2 0 2 − 1 3 − 5 0 ] ,
X = [ x y z ] and
B = [ 2 − 1 3 ] .
So, we want to check for the consistency of the equations;
| A | = 3 ( 0 − 5 ) − ( − 1 ) ( 0 + 3 ) − 2 ( 0 − 6 )
= − 15 + 3 + 12 = 0
Therefore, matrix A is a singular matrix.
So, we will then check ( a d j A ) B ,
( a d j A ) = [ − 5 10 5 − 3 6 3 − 6 12 6 ]
∴ ( a d j A ) B = [ − 5 10 5 − 3 6 3 − 6 12 6 ] [ 2 − 1 3 ] = [ − 10 − 10 + 15 − 6 − 6 + 9 − 12 − 12 + 18 ] = [ − 5 − 3 − 6 ] ≠ 0
As, ( a d j A ) B is non-zero thus the solution of the given system of equations does not exist. Hence, the given system of equations is inconsistent.
Question:6 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
5 x − y + 4 z = 5
2 x + 3 y + 5 z = 2
5 x − 2 y + 6 z = − 1
The given system of equations can be written in the form of the matrix; A X = B
where A = [ 5 − 1 4 2 3 5 5 − 2 6 ] , X = [ x y z ] and B = [ 5 2 − 1 ] .
So, we want to check for the consistency of the equations;
| A | = 5 ( 18 + 10 ) + 1 ( 12 − 25 ) + 4 ( − 4 − 15 )
= 140 − 13 − 76 = 51 ≠ 0
Here, A is non- singular matrix therefore, there exist A − 1 .
Hence, the given system of equations is consistent.
Question:7 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
5 x + 2 y = 4
7 x + 3 y = 5
can be written in the matrix form of AX =B, where
A = [ 5 4 7 3 ] , X = [ x y ] and B = [ 4 5 ]
We have,
| A | = 15 − 14 = 1 ≠ 0 .
So, A is non-singular, therefore, its inverse A − 1 exists.
as we know A − 1 = 1 | A | ( a d j A )
A − 1 = 1 | A | ( a d j A ) = ( a d j A ) = [ 3 − 2 − 7 5 ]
So, the solutions can be found by X = A − 1 B = [ 3 − 2 − 7 5 ] [ 4 5 ]
⇒ [ x y ] = [ 12 − 10 − 28 + 25 ] = [ 2 − 3 ]
Hence the solutions of the given system of equations;
x = 2 and y =-3.
Question:8 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
2 x − y = − 2
3 x + 4 y = 3
can be written in the matrix form of AX =B, where
A = [ 2 − 1 3 4 ] , X = [ x y ] and B = [ − 2 3 ]
We have,
| A | = 8 + 3 = 11 ≠ 0 .
So, A is non-singular, therefore, its inverse A − 1 exists.
as we know A − 1 = 1 | A | ( a d j A )
A − 1 = 1 | A | ( a d j A ) = 1 11 [ 4 1 − 3 2 ]
So, the solutions can be found by X = A − 1 B = 1 11 [ 4 1 − 3 2 ] [ − 2 3 ]
⇒ [ x y ] = 1 11 [ − 8 + 3 6 + 6 ] = 1 11 [ − 5 12 ] = [ − 5 11 − 12 11 ]
Hence, the solutions of the given system of equations;
x = -5/11 and y = 12/11.
Question:9 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
4 x − 3 y = 3
3 x − 5 y = 7
can be written in the matrix form of AX =B, where
A = [ 4 − 3 3 − 5 ] , X = [ x y ] and B = [ 3 7 ]
We have,
| A | = − 20 + 9 = − 11 ≠ 0 .
So, A is non-singular, therefore, its inverse A − 1 exists.
as we know A − 1 = 1 | A | ( a d j A )
A − 1 = 1 | A | ( a d j A ) = − 1 11 [ − 5 3 − 3 4 ] = 1 11 [ 5 − 3 3 − 4 ]
So, the solutions can be found by X = A − 1 B = 1 11 [ 5 − 3 3 − 4 ] [ 3 7 ]
⇒ [ x y ] = 1 11 [ 15 − 21 9 − 28 ] = 1 11 [ − 6 − 19 ] = [ − 6 11 − 19 11 ]
Hence, the solutions of the given system of equations;
x = -6/11 and y = -19/11.
Question:10 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
5 x + 2 y = 3
3 x + 2 y = 5
can be written in the matrix form of AX =B, where
A = [ 5 2 3 2 ] , X = [ x y ] and B = [ 3 5 ]
We have,
| A | = 10 − 6 = 4 ≠ 0 .
So, A is non-singular, therefore, its inverse A − 1 exists.
as we know A − 1 = 1 | A | ( a d j A )
A − 1 = 1 | A | ( a d j A ) = 1 4 [ 2 − 2 − 3 5 ]
So, the solutions can be found by X = A − 1 B = 1 4 [ 2 − 2 − 3 5 ] [ 3 5 ]
⇒ [ x y ] = 1 4 [ 6 − 10 − 9 + 25 ] = 1 4 [ − 4 16 ] = [ − 1 4 ]
Hence, the solutions of the given system of equations;
x = -1 and y = 4
Question:11 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
2 x + y + z = 1
x − 2 y − z = 3 2
3 y − 5 z = 9
can be written in the matrix form of AX =B, where
A = [ 2 1 1 1 − 2 − 1 0 3 − 5 ] , X = [ x y z ] and B = [ 1 3 2 9 ]
We have,
| A | = 2 ( 10 + 3 ) − 1 ( − 5 − 0 ) + 1 ( 3 − 0 ) = 26 + 5 + 3 = 34 ≠ 0 .
So, A is non-singular, therefore, its inverse A − 1 exists.
as we know A − 1 = 1 | A | ( a d j A )
Now, we will find the cofactors;
A 11 = ( − 1 ) 1 + 1 ( 10 + 3 ) = 13 A 12 = ( − 1 ) 1 + 2 ( − 5 − 0 ) = 5
A 13 = ( − 1 ) 1 + 3 ( 3 − 0 ) = 3 A 21 = ( − 1 ) 2 + 1 ( − 5 − 3 ) = 8
A 22 = ( − 1 ) 2 + 2 ( − 10 − 0 ) = − 10 A 23 = ( − 1 ) 2 + 3 ( 6 − 0 ) = − 6
A 31 = ( − 1 ) 3 + 1 ( − 1 + 2 ) = 1 A 32 = ( − 1 ) 3 + 2 ( − 2 − 1 ) = 3
A 33 = ( − 1 ) 3 + 3 ( − 4 − 1 ) = − 5
( a d j A ) = [ 13 8 1 5 − 10 3 3 − 6 − 5 ]
A − 1 = 1 | A | ( a d j A ) = 1 34 [ 13 8 1 5 − 10 3 3 − 6 − 5 ]
So, the solutions can be found by X = A − 1 B = 1 34 [ 13 8 1 5 − 10 3 3 − 6 − 5 ] [ 1 3 2 9 ]
⇒ [ x y z ] = 1 34 [ 13 + 12 + 9 5 − 15 + 27 3 − 9 − 45 ] = 1 34 [ 34 17 − 51 ] = [ 1 1 2 − 3 2 ]
Hence the solutions of the given system of equations;
x = 1, y = 1/2, and z = -3/2.
Question:12 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
x − y + z = 4
2 x + y − 3 z = 0
x + y + z = 2
can be written in the matrix form of AX =B, where
A = [ 1 − 1 1 2 1 − 3 1 1 1 ] , X = [ x y z ] a n d B = [ 4 0 2 ] .
We have,
| A | = 1 ( 1 + 3 ) + 1 ( 2 + 3 ) + 1 ( 2 − 1 ) = 4 + 5 + 1 = 10 ≠ 0 .
So, A is non-singular, therefore, its inverse A − 1 exists.
as we know A − 1 = 1 | A | ( a d j A )
Now, we will find the cofactors;
A 11 = ( − 1 ) 1 + 1 ( 1 + 3 ) = 4 A 12 = ( − 1 ) 1 + 2 ( 2 + 3 ) = − 5
A 13 = ( − 1 ) 1 + 3 ( 2 − 1 ) = 1 A 21 = ( − 1 ) 2 + 1 ( − 1 − 1 ) = 2
A 22 = ( − 1 ) 2 + 2 ( 1 − 1 ) = 0 A 23 = ( − 1 ) 2 + 3 ( 1 + 1 ) = − 2
A 31 = ( − 1 ) 3 + 1 ( 3 − 1 ) = 2 A 32 = ( − 1 ) 3 + 2 ( − 3 − 2 ) = 5
A 33 = ( − 1 ) 3 + 3 ( 1 + 2 ) = 3
( a d j A ) = [ 4 2 2 − 5 0 5 1 − 2 3 ]
A − 1 = 1 | A | ( a d j A ) = 1 10 [ 4 2 2 − 5 0 5 1 − 2 3 ]
So, the solutions can be found by X = A − 1 B = 1 10 [ 4 2 2 − 5 0 5 1 − 2 3 ] [ 4 0 2 ]
⇒ [ x y z ] = 1 10 [ 16 + 0 + 4 − 20 + 0 + 10 4 + 0 + 6 ] = 1 10 [ 20 − 10 10 ] = [ 2 − 1 1 ]
Hence the solutions of the given system of equations;
x = 2, y = -1, and z = 1.
Question:13 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
2 x + 3 y + 3 z = 5
x − 2 y + z = − 4
3 x − y − 2 z = 3
can be written in the matrix form of AX =B, where
A = [ 2 3 3 1 − 2 1 3 − 1 − 2 ] , X = [ x y z ] a n d B = [ 5 − 4 3 ] .
We have,
| A | = 2 ( 4 + 1 ) − 3 ( − 2 − 3 ) + 3 ( − 1 + 6 ) = 10 + 15 + 15 = 40 .
So, A is non-singular, therefore, its inverse A − 1 exists.
as we know A − 1 = 1 | A | ( a d j A )
Now, we will find the cofactors;
A 11 = ( − 1 ) 1 + 1 ( 4 + 1 ) = 5 A 12 = ( − 1 ) 1 + 2 ( − 2 − 3 ) = 5
A 13 = ( − 1 ) 1 + 3 ( − 1 + 6 ) = 5 A 21 = ( − 1 ) 2 + 1 ( − 6 + 3 ) = 3
A 22 = ( − 1 ) 2 + 2 ( − 4 − 9 ) = − 13 A 23 = ( − 1 ) 2 + 3 ( − 2 − 9 ) = 11
A 31 = ( − 1 ) 3 + 1 ( 3 + 6 ) = 9 A 32 = ( − 1 ) 3 + 2 ( 2 − 3 ) = 1
A 33 = ( − 1 ) 3 + 3 ( − 4 − 3 ) = − 7
( a d j A ) = [ 5 3 9 5 − 13 1 5 11 − 7 ]
A − 1 = 1 | A | ( a d j A ) = 1 40 [ 5 3 9 5 − 13 1 5 11 − 7 ]
So, the solutions can be found by X = A − 1 B = 1 40 [ 5 3 9 5 − 13 1 5 11 − 7 ] [ 5 − 4 3 ]
⇒ [ x y z ] = 1 40 [ 25 − 12 + 27 25 + 52 + 3 25 − 44 − 21 ] = 1 40 [ 40 80 − 40 ] = [ 1 2 − 1 ]
Hence the solutions of the given system of equations;
x = 1, y = 2, and z = -1.
Question:14 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
x − y + 2 z = 7
3 x + 4 y − 5 z = − 5
2 x − y + 3 z = 12
can be written in the matrix form of AX =B, where
A = [ 1 − 1 2 3 4 − 5 2 − 1 3 ] , X = [ x y z ] a n d B = [ 7 − 5 12 ] .
We have,
| A | = 1 ( 12 − 5 ) + 1 ( 9 + 10 ) + 2 ( − 3 − 8 ) = 7 + 19 − 22 = 4 ≠ 0 .
So, A is non-singular, therefore, its inverse A − 1 exists.
as we know A − 1 = 1 | A | ( a d j A )
Now, we will find the cofactors;
A 11 = ( − 1 ) 12 − 5 = 7 A 12 = ( − 1 ) 1 + 2 ( 9 + 10 ) = − 19
A 13 = ( − 1 ) 1 + 3 ( − 3 − 8 ) = − 11 A 21 = ( − 1 ) 2 + 1 ( − 3 + 2 ) = 1
A 22 = ( − 1 ) 2 + 2 ( 3 − 4 ) = − 1 A 23 = ( − 1 ) 2 + 3 ( − 1 + 2 ) = − 1
A 31 = ( − 1 ) 3 + 1 ( 5 − 8 ) = − 3 A 32 = ( − 1 ) 3 + 2 ( − 5 − 6 ) = 11
A 33 = ( − 1 ) 3 + 3 ( 4 + 3 ) = 7
( a d j A ) = [ 7 1 − 3 − 19 − 1 11 − 11 − 1 7 ]
A − 1 = 1 | A | ( a d j A ) = 1 4 [ 7 1 − 3 − 19 − 1 11 − 11 − 1 7 ]
So, the solutions can be found by X = A − 1 B = 1 4 [ 7 1 − 3 − 19 − 1 11 − 11 − 1 7 ] [ 7 − 5 12 ]
⇒ [ x y z ] = 1 4 [ 49 − 5 − 36 − 133 + 5 + 132 − 77 + 5 + 84 ] = 1 4 [ 8 4 12 ] = [ 2 1 3 ]
Hence, the solutions of the given system of equations;
x = 2, y = 1, and z = 3.
Question:15 If A=[2−3532−411−2] , find A−1. Using A−1 solve the system of equations
Answer:
The given system of equations
2 x − 3 y + 5 z = 11
3 x + 2 y − 4 z = − 5
x + y − 2 z = − 3
can be written in the matrix form of AX =B, where
A = [ 2 − 3 5 3 2 − 4 1 1 − 2 ] , X = [ x y z ] a n d B = [ 11 − 5 − 3 ] .
We have,
| A | = 2 ( − 4 + 4 ) + 3 ( − 6 + 4 ) + 5 ( 3 − 2 ) = 0 − 6 + 5 = − 1 ≠ 0 .
So, A is non-singular, therefore, its inverse A − 1 exists.
as we know A − 1 = 1 | A | ( a d j A )
Now, we will find the cofactors;
A 11 = ( − 1 ) − 4 + 4 = 0 A 12 = ( − 1 ) 1 + 2 ( − 6 + 4 ) = 2
A 13 = ( − 1 ) 1 + 3 ( 3 − 2 ) = 1 A 21 = ( − 1 ) 2 + 1 ( 6 − 5 ) = − 1
A 22 = ( − 1 ) 2 + 2 ( − 4 − 5 ) = − 9 A 23 = ( − 1 ) 2 + 3 ( 2 + 3 ) = − 5
A 31 = ( − 1 ) 3 + 1 ( 12 − 10 ) = 2 A 32 = ( − 1 ) 3 + 2 ( − 8 − 15 ) = 23
A 33 = ( − 1 ) 3 + 3 ( 4 + 9 ) = 13
( a d j A ) = [ 0 − 1 2 2 − 9 23 1 − 5 13 ]
A − 1 = 1 | A | ( a d j A ) = − 1 [ 0 − 1 2 2 − 9 23 1 − 5 13 ] = [ 0 1 − 2 − 2 9 − 23 − 1 5 − 13 ]
So, the solutions can be found by X = A − 1 B = [ 0 1 − 2 − 2 9 − 23 − 1 5 − 13 ] [ 11 − 5 − 3 ]
⇒ [ x y z ] = [ 0 − 5 + 6 − 22 − 45 + 69 − 11 − 25 + 39 ] = [ 1 2 3 ]
Hence, the solutions of the given system of equations;
x = 1, y = 2, and z = 3.
Answer:
So, let us assume the cost of onion, wheat, and rice be x, y and z, respectively.
Then we have the equations for the given situation :
4 x + 3 y + 2 z = 60
2 x + 4 y + 6 z = 90
6 x + 2 y + 3 y = 70
We can find the cost of each item per Kg by the matrix method as follows;
Taking the coefficients of x, y, and z as a matrix A .
We have;
A = [ 4 3 2 2 4 6 6 2 3 ] , X = [ x y z ] a n d B = [ 60 90 70 ] .
| A | = 4 ( 12 − 12 ) − 3 ( 6 − 36 ) + 2 ( 4 − 24 ) = 0 + 90 − 40 = 50 ≠ 0
Now, we will find the cofactors of A;
A 11 = ( − 1 ) 1 + 1 ( 12 − 12 ) = 0 A 12 = ( − 1 ) 1 + 2 ( 6 − 36 ) = 30
A 13 = ( − 1 ) 1 + 3 ( 4 − 24 ) = − 20 A 21 = ( − 1 ) 2 + 1 ( 9 − 4 ) = − 5
A 22 = ( − 1 ) 2 + 2 ( 12 − 12 ) = 0 A 23 = ( − 1 ) 2 + 3 ( 8 − 18 ) = 10
A 31 = ( − 1 ) 3 + 1 ( 18 − 8 ) = 10 A 32 = ( − 1 ) 3 + 2 ( 24 − 4 ) = − 20
A 33 = ( − 1 ) 3 + 3 ( 16 − 6 ) = 10
Now we have adjA;
a d j A = [ 0 − 5 10 30 0 − 20 − 20 10 10 ]
A − 1 = 1 | A | ( a d j A ) = 1 50 [ 0 − 5 10 30 0 − 20 − 20 10 10 ] s
So, the solutions can be found by X = A − 1 B = 1 50 [ 0 − 5 10 30 0 − 20 − 20 10 10 ] [ 60 90 70 ]
⇒ [ x y z ] = [ 0 − 450 + 700 1800 + 0 − 1400 − 1200 + 900 + 700 ] = 1 50 [ 250 400 400 ] = [ 5 8 8 ]
Hence, the solutions of the given system of equations;
x = 5, y = 8, and z = 8
Therefore, we have the cost of onions is Rs. 5 per Kg, the cost of wheat is Rs. 8 per Kg, and the cost of rice is Rs. 8 per kg.
Determinants class 12 questions and answers: Miscellaneous Exercise Page number: 99-100 Total Questions: 9 |
Question:1 Prove that the determinant |xsinθcosθ−sinθ−x1cosθ1x| is independent of θ.
Answer:
Calculating the determinant value of | x sin θ cos θ − sin θ − x 1 cos θ 1 x | ;
= x [ − x 1 1 x ] − sin Θ [ − sin Θ 1 cos Θ x ] + cos Θ [ − sin Θ − x cos Θ 1 ]
= x ( − x 2 − 1 ) − sin Θ ( − x sin Θ − cos Θ ) + cos Θ ( − sin Θ + x cos Θ )
= − x 3 − x + x sin 2 Θ + sin Θ cos Θ − cos Θ sin Θ + x cos 2 Θ
= − x 3 − x + x ( sin 2 Θ + cos 2 Θ )
= − x 3 − x + x = − x 3
Clearly, the determinant is independent of Θ .
Question:2 Without expanding the determinant, prove that
|aa2bcbb2cacc2ab|=|1a2a31b2b31c2c3|
Answer:
We have the
L . H . S . = | a a 2 b c b b 2 c a c c 2 a b |
Multiplying rows with a, b, and c, respectively.
R 1 → a R 1 , R 2 → b R 2 , a n d R 3 → c R 3
we get;
= 1 a b c | a 2 a 3 a b c b 2 b 3 a b c c 2 c 3 a b c |
= 1 a b c . a b c | a 2 a 3 1 b 2 b 3 1 c 2 c 3 1 | [ a f t e r t a k i n g o u t a b c f r o m c o l u m n 3 ] .
= | a 2 a 3 1 b 2 b 3 1 c 2 c 3 1 | = | 1 a 2 a 3 1 b 2 b 3 1 c 2 c 3 | [ A p p l y i n g C 1 ↔ C 3 a n d C 2 ↔ C 3 ]
= R.H.S.
Hence proved. L.H.S. =R.H.S.
Question:3 Evaluate |cosαcosβcosαsinβ−sinα−sinβcosβ0sinαcosβsinαsinβcosα|.
Answer:
Given determinant | cos α cos β cos α sin β − sin α − sin β cos β 0 sin α cos β sin α sin β cos α | ;
= cos α cos β | cos β 0 sin α sin β cos α | − cos α sin β | − sin β 0 sin α cos β cos α | − sin α | − sin β cos β sin α cos β sin α sin β | = cos α cos β ( cos β cos α − 0 ) − cos α sin β ( − cos α sin β − 0 ) − sin α ( − sin α sin 2 β − sin α cos 2 β )
= cos 2 α cos 2 β + cos 2 α sin 2 β + sin 2 α sin 2 β + sin 2 α cos 2 β
= cos 2 α ( cos 2 β + sin 2 β ) + sin 2 α ( sin 2 β + cos 2 β )
= cos 2 α ( 1 ) + sin 2 α ( 1 ) = 1 .
Question 4: If \( A^{-1} = [ 3 − 1 1 − 15 6 − 5 5 − 2 2 ] \) and \( B = [ 1 2 − 2 − 1 3 0 0 − 2 1 ] \), find \( (AB)^{-1} \).
Answer:
We know from the identity that:
( A B ) − 1 = B − 1 A − 1
Then we can find easily,
Given
Given
A − 1 = [ 3 − 1 1 − 15 6 − 5 5 − 2 2 ] ,
B = [ 1 2 − 2 − 1 3 0 0 − 2 1 ]
Then we have to basically find the B − 1 matrix.
So, Given matrix B = [ 1 2 − 2 − 1 3 0 0 − 2 1 ]
| B | = 1 ( 3 − 0 ) − 2 ( − 1 − 0 ) − 2 ( 2 − 0 ) = 3 + 2 − 4 = 1 ≠ 0
Hence its inverse B − 1 exists;
Now, as we know that
B − 1 = 1 | B | a d j B
So, calculating cofactors of B,
B 11 = ( − 1 ) 1 + 1 ( 3 − 0 ) = 3 B 12 = ( − 1 ) 1 + 2 ( − 1 − 0 ) = 1
B 13 = ( − 1 ) 1 + 3 ( 2 − 0 ) = 2 B 21 = ( − 1 ) 2 + 1 ( 2 − 4 ) = 2
B 22 = ( − 1 ) 2 + 2 ( 1 − 0 ) = 1 B 23 = ( − 1 ) 2 + 3 ( − 2 − 0 ) = 2
B 31 = ( − 1 ) 3 + 1 ( 0 + 6 ) = 6 B 32 = ( − 1 ) 3 + 2 ( 0 − 2 ) = 2
B 33 = ( − 1 ) 3 + 3 ( 3 + 2 ) = 5
a d j B = [ 3 2 6 1 1 2 2 2 5 ]
B − 1 = 1 | B | a d j B = 1 1 [ 3 2 6 1 1 2 2 2 5 ]
Now, We have both A − 1 as well as B − 1 ;
Putting in the relation we know; ( A B ) − 1 = B − 1 A − 1
( A B ) − 1 = 1 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 ]
= [ 9 − 3 5 − 2 1 0 1 0 2 ]
Question 5(i): Let A = [ 1 2 1 2 3 1 1 1 5 ] . Verify that 100 [ adj A ] − 1 = adj ( A − 1 ) .
Answer:
Given that A = [ 1 2 1 2 3 1 1 1 5 ] ;
So, let us assume that A − 1 = B matrix and a d j A = C then;
| A | = 1 ( 15 − 1 ) − 2 ( 10 − 1 ) + 1 ( 2 − 3 ) = 14 − 18 − 1 = − 5 ≠ 0
Hence its inverse exists;
A − 1 = 1 | A | a d j A or B = 1 | A | C ;
so, we now calculate the value of a d j A
Cofactors of A;
A 11 = ( − 1 ) 1 + 1 ( 15 − 1 ) = 14 A 12 = ( − 1 ) 1 + 2 ( 10 − 1 ) = − 9
A 13 = ( − 1 ) 1 + 3 ( 2 − 3 ) = − 1 A 21 = ( − 1 ) 2 + 1 ( 10 − 1 ) = − 9
A 22 = ( − 1 ) 2 + 2 ( 5 − 1 ) = 4 A 23 = ( − 1 ) 2 + 3 ( 1 − 2 ) = 1
A 31 = ( − 1 ) 3 + 1 ( 2 − 3 ) = − 1 A 32 = ( − 1 ) 3 + 2 ( 1 − 2 ) = 1
A 33 = ( − 1 ) 3 + 3 ( 3 − 4 ) = − 1
⇒ a d j A = C = [ 14 − 9 − 1 − 9 4 1 − 1 1 − 1 ]
A − 1 = B = 1 | A | a d j A = 1 − 5 [ 14 − 9 − 1 − 9 4 1 − 1 1 − 1 ]
Finding the inverse of C;
| C | = 14 ( − 4 − 1 ) + 9 ( 9 + 1 ) − 1 ( − 9 + 4 ) = − 70 + 90 + 5 = 25 ≠ 0
Hence its inverse exists;
C − 1 = 1 | C | a d j C
Now, finding the a d j C ;
C 11 = ( − 1 ) 1 + 1 ( − 4 − 1 ) = − 5 C 12 = ( − 1 ) 1 + 2 ( 9 + 1 ) = − 10
C 13 = ( − 1 ) 1 + 3 ( − 9 + 4 ) = − 5 C 21 = ( − 1 ) 2 + 1 ( 9 + 1 ) = − 10
C 22 = ( − 1 ) 2 + 2 ( − 14 − 1 ) = − 15 C 23 = ( − 1 ) 2 + 3 ( 14 − 9 ) = − 5
C 31 = ( − 1 ) 3 + 1 ( − 9 + 4 ) = − 5 C 32 = ( − 1 ) 3 + 2 ( 14 − 9 ) = − 5
C 33 = ( − 1 ) 3 + 3 ( 56 − 81 ) = − 25
a d j C = [ − 5 − 10 − 5 − 10 − 15 − 5 − 5 − 5 − 25 ]
C − 1 = 1 | C | a d j C = 1 25 [ − 5 − 10 − 5 − 10 − 15 − 5 − 5 − 5 − 25 ] = [ − 1 5 − 2 5 − 1 5 − 2 5 − 3 5 − 1 5 − 1 5 − 1 5 − 1 ]
or L . H . S . = C − 1 = [ a d j A ] − 1 = [ − 1 5 − 2 5 − 1 5 − 2 5 − 3 5 − 1 5 − 1 5 − 1 5 − 1 ]
Now, finding the R.H.S.
a d j ( A − 1 ) = a d j B
A − 1 = B = [ − 14 5 9 5 1 5 9 5 − 4 5 − 1 5 1 5 − 1 5 1 5 ]
Cofactors of B;
B 11 = ( − 1 ) 1 + 1 ( − 4 25 − 1 25 ) = − 1 5
B 12 = ( − 1 ) 1 + 2 ( 9 25 + 1 25 ) = − 2 5
B 13 = ( − 1 ) 1 + 3 ( − 9 25 + 4 25 ) = − 1 5
B 21 = ( − 1 ) 2 + 1 ( 9 25 + 1 25 ) = − 2 5
B 22 = ( − 1 ) 2 + 2 ( − 14 25 − 1 25 ) = − 3 5
B 23 = ( − 1 ) 2 + 3 ( 14 25 − 9 25 ) = − 1 5
B 31 = ( − 1 ) 3 + 1 ( − 9 25 + 4 25 ) = − 1 5
B 32 = ( − 1 ) 3 + 2 ( 14 25 − 9 25 ) = − 1 5
B 33 = ( − 1 ) 3 + 3 ( 56 25 − 81 25 ) = − 1
R . H . S . = a d j B = a d j ( A − 1 ) = [ − 1 5 − 2 5 − 1 5 − 2 5 − 3 5 − 1 5 − 1 5 − 1 5 − 1 ]
Hence L.H.S. = R.H.S. proved.
Question 5(ii):Let A = [ 1 2 1 2 3 1 1 1 5 ] , verify that ( A − 1 ) − 1 = A .
Answer:
Given that A = [ 1 2 1 2 3 1 1 1 5 ] ;
So, let us assume that A − 1 = B
| A | = 1 ( 15 − 1 ) − 2 ( 10 − 1 ) + 1 ( 2 − 3 ) = 14 − 18 − 1 = − 5 ≠ 0
Hence, its inverse exists;
A − 1 = 1 | A | a d j A or B = 1 | A | C ;
so, we now calculate the value of a d j A
Cofactors of A;
A 11 = ( − 1 ) 1 + 1 ( 15 − 1 ) = 14 A 12 = ( − 1 ) 1 + 2 ( 10 − 1 ) = − 9
A 13 = ( − 1 ) 1 + 3 ( 2 − 3 ) = − 1 A 21 = ( − 1 ) 2 + 1 ( 10 − 1 ) = − 9
A 22 = ( − 1 ) 2 + 2 ( 5 − 1 ) = 4 A 23 = ( − 1 ) 2 + 3 ( 1 − 2 ) = 1
A 31 = ( − 1 ) 3 + 1 ( 2 − 3 ) = − 1 A 32 = ( − 1 ) 3 + 2 ( 1 − 2 ) = 1
A 33 = ( − 1 ) 3 + 3 ( 3 − 4 ) = − 1
⇒ a d j A = C = [ 14 − 9 − 1 − 9 4 1 − 1 1 − 1 ]
A − 1 = B = 1 | A | a d j A = 1 − 5 [ 14 − 9 − 1 − 9 4 1 − 1 1 − 1 ] = [ − 14 5 9 5 1 5 9 5 − 4 5 − 1 5 1 5 − 1 5 1 5 ]
Finding the inverse of B ;
| B | = − 14 5 ( − 4 25 − 1 25 ) − 9 5 ( 9 25 + 1 25 ) + 1 5 ( − 9 25 + 4 25 )
= 70 125 − 90 125 − 5 125 = − 25 125 = − 1 5 ≠ 0
Hence its inverse exists;
B − 1 = 1 | B | a d j B
Now, finding the a d j B ;
A − 1 = B = 1 | A | a d j A = 1 − 5 [ 14 − 9 − 1 − 9 4 1 − 1 1 − 1 ] = [ − 14 5 9 5 1 5 9 5 − 4 5 − 1 5 1 5 − 1 5 1 5 ]
B 11 = ( − 1 ) 1 + 1 ( − 4 25 − 1 25 ) = − 1 5 B 12 = ( − 1 ) 1 + 2 ( 9 25 + 1 25 ) = − 2 5
B 13 = ( − 1 ) 1 + 3 ( − 9 25 + 4 25 ) = − 1 5 B 21 = ( − 1 ) 2 + 1 ( 9 25 + 1 25 ) = − 2 5
B 22 = ( − 1 ) 2 + 2 ( − 14 25 − 1 25 ) = − 3 5 B 23 = ( − 1 ) 2 + 3 ( 14 25 − 9 25 ) = − 1 5
B 31 = ( − 1 ) 3 + 1 ( − 9 25 + 4 25 ) = − 1 5
B 32 = ( − 1 ) 3 + 2 ( 14 25 − 9 25 ) = − 1 5
B 33 = ( − 1 ) 3 + 3 ( 56 25 − 81 25 ) = − 25 25 = − 1
a d j B = [ − 1 5 − 2 5 − 1 5 − 2 5 − 3 5 − 1 5 − 1 5 − 1 5 − 1 ]
B − 1 = 1 | B | a d j B = − 5 1 [ − 1 5 − 2 5 − 1 5 − 2 5 − 3 5 − 1 5 − 1 5 − 1 5 − 1 ] = [ 1 2 1 2 3 1 1 1 5 ]
L . H . S . = B − 1 = ( A − 1 ) − 1 = [ 1 2 1 2 3 1 1 1 5 ]
R . H . S . = A = [ 1 2 1 2 3 1 1 1 5 ]
Hence proved L.H.S. =R.H.S..
Question:6 Evaluate |xyx+yyx+yxx+yxy|
Answer:
We have determinant △ = | x y x + y y x + y x x + y x y |
Applying row transformations; R 1 → R 1 + R 2 + R 3 , we have then;
△ = | 2 ( x + y ) 2 ( x + y ) 2 ( x + y ) y x + y x x + y x y |
Taking out the common factor 2(x+y) from the row first.
= 2 ( x + y ) | 1 1 1 y x + y x x + y x y |
Now, applying the column transformation; C 1 → C 1 − C 2 and C 2 → C 2 − C 1 we have ;
= 2 ( x + y ) | 0 0 1 − x y x y x − y y |
Expanding the remaining determinant;
= 2 ( x + y ) ( − x ( x − y ) − y 2 ) = 2 ( x + y ) [ − x 2 + x y − y 2 ]
= − 2 ( x + y ) [ x 2 − x y + y 2 ] = − 2 ( x 3 + y 3 ) .
Question:7 Evaluate |1xy1x+yy1xx+y|
Answer:
We have determinant △ = | 1 x y 1 x + y y 1 x x + y |
Applying row transformations; R 1 → R 1 − R 2 and R 2 → R 2 − R 3 then we have then;
△ = | 0 − y 0 0 y − x 1 x x + y |
Taking out the common factor -y from the row first.
△ = − y | 0 1 0 0 y − x 1 x x + y |
Expanding the remaining determinant;
− y [ 1 ( − x − o ) ] = x y
Question:8 Solve the system of equations
Answer:
We have a system of equations;
2 x + 3 y + 10 z = 4
4 x − 6 y + 5 z = 1
6 x + 9 y − 20 z = 2
So, we will convert the given system of equations in a simple form to solve the problem by the matrix method;
Let us take, 1 x = a , 1 y = b a n d 1 z = c
Then we have the equations;
2 a + 3 b + 10 c = 4
4 a − 6 b + 5 c = 1
6 a + 9 b − 20 c = 2
We can write it in the matrix form as A X = B , where
A = [ 2 3 10 4 − 6 5 6 9 − 20 ] , X = [ a b c ] a n d B = [ 4 1 2 ] .
Now, Finding the determinant value of A;
| A | = 2 ( 120 − 45 ) − 3 ( − 80 − 30 ) + 10 ( 36 + 36 )
= 150 + 330 + 720
= 1200 ≠ 0
Hence we can say that A is non-singular ∴ its invers exists;
Finding cofactors of A;
A 11 = 75 , A 12 = 110 , A 13 = 72
A 21 = 150 , A 22 = − 100 , A 23 = 0
A 31 = 75 , A 31 = 30 , A 33 = − 24
∴ as we know A − 1 = 1 | A | a d j A
= 1 1200 [ 75 150 75 110 − 100 30 72 0 − 24 ]
Now we will find the solutions by relation X = A − 1 B .
⇒ [ a b c ] = 1 1200 [ 75 150 75 110 − 100 30 72 0 − 24 ] [ 4 1 2 ]
= 1 1200 [ 300 + 150 + 150 440 − 100 + 60 288 + 0 − 48 ]
= 1 1200 [ 600 400 240 ] = [ 1 2 1 3 1 5 ]
Therefore we have the solutions a = 1 2 , b = 1 3 , a n d c = 1 5 .
Or in terms of x, y, and z;
x = 2 , y = 3 , a n d z = 5
Question 9: Choose the correct answer.
If x , y , z are nonzero real numbers, then the inverse of the matrix
A = [ x 0 0 0 y 0 0 0 z ]
is
(A) [ x − 1 0 0 0 y − 1 0 0 0 z − 1 ]
(B) x y z [ x − 1 0 0 0 y − 1 0 0 0 z − 1 ]
(C) 1 x y z [ x 0 0 0 y 0 0 0 z ]
(D) 1 x y z [ 1 0 0 0 1 0 0 0 1 ]
Answer:
Given Matrix A = [ x 0 0 0 y 0 0 0 z ] ,
| A | = x ( y z − 0 ) = x y z
As we know,
A − 1 = 1 | A | a d j A
So, we will find the a d j A ,
Determining its cofactor first,
A 11 = y z A 12 = 0 A 13 = 0
A 21 = 0 A 22 = x z A 23 = 0
A 31 = 0 A 32 = 0 A 33 = x y
Hence A − 1 = 1 | A | a d j A = 1 x y z [ y z 0 0 0 x z 0 0 0 x y ]
A − 1 = [ 1 x 0 0 0 1 y 0 0 0 1 z ]
Therefore, the correct answer is (A)
Question 10: Choose the correct answer.
Let A = | 1 sin θ 1 − sin θ 1 sin θ − 1 − sin θ 1 | , where 0 ≤ θ ≤ 2 π . Then
(A) D e t ( A ) = 0 nbsp; (B) D e t ( A ) ∈ ( 2 , ∞ )
(C) D e t ( A ) ∈ ( 2 , 4 ) (D) D e t ( A ) ∈ [ 2 , 4 ]
Answer:
Given determinant A = | 1 sin θ 1 − sin θ 1 sin θ − 1 − sin θ 1 |
| A | = 1 ( 1 + sin 2 Θ ) − sin Θ ( − sin Θ + sin Θ ) + 1 ( sin 2 Θ + 1 )
= 1 + sin 2 Θ + sin 2 Θ + 1
= 2 + 2 sin 2 Θ = 2 ( 1 + sin 2 Θ )
Now, given the range of Θ from 0 ≤ Θ ≤ 2 π
⇒ 0 ≤ sin Θ ≤ 1
⇒ 0 ≤ sin 2 Θ ≤ 1
⇒ 1 ≤ 1 + sin 2 Θ ≤ 2
⇒ 2 ≤ 2 ( 1 + sin 2 Θ ) ≤ 4
Therefore the | A | ϵ [ 2 , 4 ] .
Hence, the correct answer is D.
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Question: If x , y , z are all different from zero and | 1 + x 1 1 1 1 + y 1 1 1 1 + z | = 0 , then value of x − 1 + y − 1 + z − 1 is:
Solution:
We have
| 1 + x 1 1 1 1 + y 1 1 1 1 + z | = 0
Apply C 1 → C 1 − C 3 and C 2 → C 2 − C 3
| x 0 1 0 y 1 − z − z 1 + z | = 0
Expand along Row 1
⇒ x [ y ( 1 + z ) + z ] − 0 + 1 ( y z ) = 0 x y + x y z + x z + y z = 0
Divide both sides by XYZ
⇒ 1 x + 1 y + 1 z + 1 = 0 ∴ 1 x + 1 y + 1 z = x − 1 + y − 1 + z − 1 = − 1
Hence, the correct answer is − 1 .
Here is the list of important topics that are covered in Class 12 Chapter 4, Determinants:
Determinant of a Matrix: The determinant is the numerical value of a square matrix.
For a square matrix A of order n, the determinant is denoted by det A or |A|.
Minor and Cofactor of a Matrix:
Minor of an element a i j of a determinant is a determinant obtained by deleting the ith row and jth column in which element a i j lies.
The cofactor of an element a i j of a determinant, denoted by A i j or C i j , is defined as A i j = ( − 1 ) i + j ⋅ M i j , where M i j is the minor of element a i j .
Value of a Determinant (2x2 and 3x3 matrices):
For a 2x2 matrix A: | A | = a 11 ⋅ a 22 − a 12 ⋅ a 21
For a 3x3 matrix A: | A | = a 11 ⋅ | A 11 | − a 12 ⋅ | A 12 | + a 13 ⋅ | A 13 |
Singular and Non-Singular Matrix:
If the determinant of a square matrix is zero, the matrix is said to be singular; otherwise, it is non-singular.
Determinant Theorems:
If A and B are non-singular matrices of the same order, then AB and BA are also non-singular matrices of the same order.
The determinant of the product of matrices is equal to the product of their respective determinants, i.e., | A B | = | A | ⋅ | B |.
Adjoint of a Matrix:
The adjoint of a square matrix A is the transpose of the matrix obtained by cofactors of each element of the determinant corresponding to A. It is denoted by adj(A).
In general, the adjoint of a matrix A = [aij]n×n is a matrix [Aji]n×n, where Aji is a cofactor of element aji.
Properties of the Adjoint of a Matrix:
A ⋅ adj ( A ) = adj ( A ) ⋅ A = | A | I n (Identity Matrix)
| adj ( A ) | = | A | n − 1
adj ( A T ) = ( adj ( A ) ) T (Transpose of the adjoint)
Finding the Area of a Triangle Using Determinants:
The area of a triangle with vertices (x1, y1), (x2, y2), and (x3, y3) is given by
Area of Δ = 1 2 [ x 1 y 1 1 x 2 y 2 1 x 3 y 3 1 ]
The inverse of a Square Matrix:
For a non-singular matrix A ( | A | ≠ 0 ), the inverse A − 1 is defined as A − 1 = 1 | A | ⋅ adj ( A ) .
Properties of an Inverse Matrix:
( A − 1 ) − 1 = A ( A T ) − 1 = ( A − 1 ) T ( A B ) − 1 = B − 1 A − 1 ( A B C ) − 1 = C − 1 B − 1 A − 1 adj ( A − 1 ) = ( adj ( A ) ) − 1
Solving a System of Linear Equations using the Inverse of a Matrix:
Given a system of equations A X = B, where A is the coefficient matrix, X is the variable matrix, and B is the constant matrix.
Case I: If | A | ≠ 0, the system is consistent, and X = A − 1 B has a unique solution.
Case II: If | A | = 0 and ( adj A ) B ≠ 0, the system is inconsistent and has no solution.
Case III: If | A | = 0 and ( adj A ) B = 0, the system may be either consistent or inconsistent, depending on whether it has infinitely many solutions or no solutions.
Determinants play a quite significant role in Class 12 mathematics, so here are some key steps on how to approach determinants-related questions effectively:
Understanding the basics: First of all, learn what a determinant is and how it is calculated. Then study all the different types of determinants to have a clear idea about them.
Learn and apply the properties: Study all the important properties of determinants, like swapping two rows changes the sign or the value of the determinant becomes zero if two rows or two columns are equal. Applying these properties will make solving determinant problems quite easy to handle.
Use the row and column operations: You can use the elementary operations, like making zeros in the rows or columns, which will simplify the problem before expanding the determinants.
Avoid common mistakes: Be careful about the sign changes in the cofactor expansion. Always try to double-check the values after transformations.
Tips and tricks: To improve your speed and accuracy, you have to practice many different types of questions from the ncert book, the exemplar book, and the previous year papers. Also, you need to revise the key concepts and formulas often in between to memorise them.
Here is a comparison list of the concepts in Inverse Trigonometric Functions that are covered in JEE and NCERT, to help students understand what extra they need to study beyond the NCERT for JEE:
Concepts Name | JEE | NCERT |
Properties of Determinants | ✅ | ✅ |
Multiplication of Two Determinants | ✅ | ✅ |
Minors And Cofactors | ✅ | ✅ |
Adjoint and Inverse of a Matrix | ✅ | ✅ |
Inverse Matrix | ✅ | ✅ |
System of Linear Equations | ✅ | ✅ |
Cramer’s Rule | ✅ | ❌ |
Homogeneous System of Linear Equations | ✅ | ❌ |
Given below is the chapter-wise list of the NCERT Class 12 Maths solutions with their respective links:
Also Read,
Here are the subject-wise links for the NCERT solutions of class 12:
Given below are the class-wise solutions of class 12 NCERT:
Here are some useful links for the NCERT books and the NCERT syllabus for class 12
Frequently Asked Questions (FAQs)
To find the determinant of a 3*3 matrix, we use the method of cofactor expansion. This involves multiplying each element of a row (or column) by its cofactor, which is the determinant of the 2*2 matrix obtained by deleting the row and column of that element. You calculate the 2*2 determinants inside each term, and then multiply them by the respective elements. The signs alternate (positive, negative, positive) based on the position of the element. This process gives you the determinant of the matrix.
Minors and cofactors are closely related concepts in the calculation of determinants. The minor of an element in a matrix is the determinant of the submatrix that remains after removing the row and column containing that element. It is denoted as Mij for an element aij. The cofactor, on the other hand, is the signed version of the minor. The cofactor of an element aij is given by Cij=(-1)i+jMij, where the factor (-1)i+j introduces a sign change depending on the position of the element in the matrix. Minors are used to calculate the determinant, while cofactors are used to expand the determinant and in the adjoint of a matrix.
There are many formulas in this chapter such as:
1. Formula to determine the value of the determinant of a matrix.
2. To find the inverse of a matrix using the adjoint of a matrix.
The inverse of a matrix can be found using determinants if the matrix is square and its determinant is non-zero. The formula for the inverse of a matrix A is:
A^(-1) = (1 / det(A)) * adj(A)
To find the inverse, you first calculate the determinant of the matrix A. If the determinant is non-zero, you then find the adjoint (or adjugate) of the matrix. Finally, multiply the adjoint by (1 / det(A)) to obtain the inverse
If the determinant is zero, the matrix does not have an inverse. This method allows you to find the inverse of any invertible matrix using determinants and the adjoint.
Determinants possess several key properties that simplify their manipulation. Some of the important properties are:
On Question asked by student community
Hello Aspirant,
Yes, in the case that you appeared for the 2025 improvement exam and your roll number is different from what was on the previous year’s marksheet, the board will usually release a new migration certificate. This is because the migration certificate will reflect the most recent exam details, roll number and passing year. You can apply to get it from your board using the process prescribed by them either online or through your school/college.
Hello,
Yes, you can. If you missed the first compartment exam, you can appear in the second compartment exam as per CBSE rules.
Hope it helps !
Hello Prisha
As you have compartment in Mathematics and you wish to change your stream to Humanities you have 2 options from here on:
1. You could try to study and clear your compartment of Mathematics.
2. You can change your stream to Humanities but you will need to repeat from Class 11th so you will need 2 years from now to clear Class 12th.
My personal suggestion will be to choose Option 1. Trust me I have dealt with this feeling myself and wanted to choose Option 2 but I worked hard and cleared my exams. I was scared not only in Mathematics but Physics, Chemistry and even Computer Science.
At last, it's on you what you want to choose.
Thank You!
HELLO,
The GUJCET merit list is calculated by considering 60% of the marks obtained in Class 12 and 40% of the GUJCET score. CBSE students are also eligible to compete with GSEB students, as the merit list is prepared by combining the Class 12 scores with the GUJCET performance.
CBSE Students and GUJCET:
Hope this Helps!
Hello Aspirant,
Yes, your CBSE migration certificate from March 2024 is totally good for reporting in 2025. These certificates do not randomly expire or anything. As long as you’ve got the real one and it is not scribbled then it is fine. No one’s gonna hassle you about the date, just make sure it’s in decent shape and you’re all set.
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