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NCERT Exemplar Class 12 Maths Solutions Chapter 3 Matrices

NCERT Exemplar Class 12 Maths Solutions Chapter 3 Matrices

Updated on Apr 02, 2025 11:06 PM IST | #CBSE Class 12th

NCERT Exemplar Class 12 Maths Solutions Chapter 3, Matrix is one of the most interesting chapters to study. Matrices are much faster and more efficient than the usual direct-solving method. In our daily lives, we see tables, spreadsheets, seating charts, and cinema bookings arranged in rows and columns resembling matrices. So, what is a matrix? A matrix is a rectangular arrangement of numbers, symbols, or expressions in rows and columns . The numbers inside a matrix are called its elements . It is usually written as A=[aij], where aij denotes the element in the i -th row and j -th column. Matrices are used in various fields like computer graphics, economics, and engineering to solve systems of equations, data representation, and transformations. They are a key concept in linear algebra.

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  1. The Sub-Topics That Are Covered Under The Class 12 Maths NCERT Exemplar Solutions Chapter 3 Matrices Are:
  2. NCERT Exemplar Class 12 Maths Solutions
  3. Importance of NCERT Exemplar Class 12 Maths Solutions Chapter 3
  4. NCERT Exemplar Class 12 Maths Solutions Chapter

NCERT Exemplar Class 12 Math chapter 3 solutions cover various matrix-related topics like the types, the operations on two or matrices, invertible matrices, etc. It is a highly scoring chapter of NCERT Class 12 Maths Solutions that a student can utilize to gain higher scores in their exams.

Class 12 Maths Chapter 3 exemplar solutions Exercise: 3.3
Page number: 52-64
Total questions: 101

Question:1

If a matrix has 28 elements, what are the possible orders it can have? What if it has 13 elements?

Answer:

In mathematics, a matrix is a rectangular array that includes numbers, expressions, symbols, and equations which are placed in an arrangement of rows and columns. The number of rows and columns that are arranged in the matrix is called the order or dimension of the matrix. By rule, the rows are listed first and then the columns.

It is given that the matrix has 28 elements.

So, according to the rule of the matrix,

If the given matrix has mn elements, then the dimension of the order can be given by mn, where m and n are natural numbers.

So, if a matrix has 28 elements, which is mn=28, then the following possible orders can be found:

mn=28

Take m and n to be any number, so that, when they are multiplied, we get 28.

So, let m=1 and n=28.

Then, m×n=1×28(=28)

1×28 is a possible order of the matrix with 28 elements

Take m=2 and n=14.

Then, m×n=2×14(=28)

2×14 is a possible order of the matrix with 28 elements.

Take m=4 and n=7.

Then, m×n=4×7(=28)

4×7 is a possible order of the matrix with 28 elements.

Take m=7 and n=4.

Then, m×n=7×4(=28)

7×4 is a possible order of the matrix with 28 elements.

Take m=14 and n=2.

Then, m×n=14×2(=28)

14×2 is a possible order of the matrix having 28 elements.

Take m=28 and n=1.

Then, m×n=28×1(=28)

28×1 is a possible order of the matrix with 28 elements.

The following are the possible orders that a matrix having 28 elements can have:

1×28,2×14,4×7,7×4,14×2 and 28×1

If the given matrix consisted of 13 elements, then its possible order can be found out in a similar way as given above:

Here, mn=13.

Take m and n to be any numbers so that when multiplied we get 13.

Take m=1 and n=13.

Then, m×n=1×13(=13)

1×13 is a possible order of the matrix with 13 elements.

Take m=13 and n=1.

Then, m×n=13×1(=13)

13×1 is a possible order of the matrix with 13 elements.

Thus, the possible orders of the matrix consisting of 13 elements are as follows:

1×13 and 13×1

Question:2

In the matrix A=[a1x23x2y0525], write:
(i) The order of the matrix A
(ii) The number of elements
(iii) Write elements a23,a31,a12

Answer:

i) We have, A=[a1x23x2y0525] the order of matrix A is 3×3

ii) We have, A=[a1x23x2y0525] the number of elements are 3×3=9

iii) We have, A=[a1x23x2y0525]

Since, aij is the element lying in the ith  row an jth  column We have a23=x2y,a31=0,a12=1.

Question:3

Construct a2×2 matrix where
(i) aij=(i^2j^)2
(ii) aij=|2i+3j|

Answer:

i) Let A=[a11a12a21a22]2×2

Given that aij=(i2j)22

a11=(12×1)22=12a12=(12×2)22=92a21=(22×1)22=0a22=(22×2)22=2

Hence, the matrix A=[129202]

ii) Let A=[a13a12a21a22]2×2

Given that aij=|2i+3j|

a11=|2×1+3×1|=1a12=|2×1+3×2|=4a21=|2×2+3×1|=1a22=|2×2+3×2|=2

Hence, the matrix A=[1412]

Question:4

Construct a 3 × 2 matrix whose elements are given by aij=eixsinjx

Answer:

LetA=[a11a12a21a22a31a32]3×2 Given that aij=ei.xsinjx

a11=exsinxa12=exsin2xa21=e2xsinxa22=e2xsin2xa31=e3xsinxa32=e3xsin2x

Hence, the matrix A=[exsinxexsin2xe2xsinxe2xsin2xe3xssinxe3xsin2x]

Question:5

Find values of a and b if A = B, where
A=[a+43b86]B=[2a+2b2+28b25b]

Answer:

Given that A=B

[a+43 b86]=[2a+2 b2+28 b25 b]

Equating the corresponding elements, we get

a+4=2a+23b=b2+2b25b=62aa=2b23b+2=0b25b+6=0a=2b23b+2=0

b22bb+2=0b(b2)1(b2)=0(b1)(b2)=0b=1,2b25b+6=0b23b2b+6=0b(b3)2(b3)=0(b2)(b3)=0b=2,3

But here 2 is common.

Hence, the value of a=2 and b=2.

Question:6

If possible, find the sum of the matrices A and B, where

A=[3123]B=[xyzab6]

Answer:

We have, A=[3123]2×2, and B=[xyza b6]2×3

Here, A and B are of different orders.

Two matrices A and B are confirmable for addition only if the order of both matrices A and B is the same.

Hence, the sum of matrices A and B is not possible.

Question:7

If X=[311523]Y=[211724] find
(i) X + Y
(ii) 2X - 3Y
(iii) A matrix Z such that X + Y + Z is a zero matrix.

Answer:

Given that X=[311523] and Y=[211724]

i) X+Y=[311523]+[211724]=[3+21+1115+72+23+4]=[5221201]

ii) 2X3Y=2[311523]3[211724]=[2×32×12×12×52×22×3][3×21×31×33×73×23×4]=[6221046][63321612]=[66232+3102146612]=[011111018]

iii) X+Y+Z=0[311523]+[211724]+[abcdef]=[000000]

Where Z=[abcdef]

[3+2+a1+1+b11+c5+7+d2+2+e3+4+f]=[000000][5+a2+b2+c12+de1+f]=[000000]

Equating the corresponding elements, we get

5+a=0a=5,2+b=0 b=22+c=0c=212+d=0 d=12,e=0,1+f=0f=1

Hence, the matrix Z=[5221201]

Question:8

Find non-zero values of x satisfying the matrix equation:
x[2x23x]+2[85x44x]=2[(x2+8)24(10)6x]

Answer:

The given equation can be written as

[2x22x3xx2]+[1610x88x]=[(2x2+16)182012x][2x2+1612x3x+8x2+8x]=[2x2+16482012x]

Equating the corresponding elements we get

12x=483x+8=20x2+8x=12xx=4812=43x=208=12x2=12x8x=4xx24x=0x=0,x=4x=4

Hence, the non-zero value of x is 4.

Question:9

If A=[0111]and B=[0110] , show that (A+B)(AB)A2B2.

Answer:

Given that A=[0111] and B=[0110]

A+B=[0111]+[0110]A+B=[0+0111+11+0]A+B=[0021]AB=[0111][0110]AB=[001+11110]AB=[0201]

(A+B)(AB)=[0021],[0201]=[0+00+00+04+1]=[0005]

Now, R.H.S. =A2B2

=AABB=[0111][0111][0110][0110]=[0+10+10+11+1][010+00+01+0]

=[1112][1001]=[1+111012+1]=[2113]

Hence, [0005][21013]

Hence, (A+B)(AB)A2B2

Question:10

Find the value of x if
[1x1][1322511532][12x]=0

Answer:

Given that [1x1][1322511532][12x]=0

[1+2x+153+5x+32+x+2][12x]=0[2x+165x+6x+4][12x]=0[2x+16+10x+12+x2+4x]=0x2+16x+28=0x2+14x+2x+28=0x(x+14)+2(x+14)=0(x+2)(x+14)=0x+2=0 or x+14=0x=2 or x=14

Hence, the values of x are -2 and -14.

Question:11

Show that [5312] satisfies the equation A23A7I=0 and hence find A1.

Answer:

Given that A=[5312]

A2=AA=[5312][5312]=[2531565+23+4]=[22931]A23 A7I=O

L.H.S. [2931]3[5312]7[1001]

[22931][15936][7007][221579903+301+67][0000] R.H.S. 

We are given A23 A7I=0

A1[ A23 A7I]=A1O.[ Pre-multiplying both sides by A1]A1 A A3 A1 A7 A1I=O..[A1O=O]IA3I7 A1I=OA3I7 A1=O7 A1=3IAA1=17[3IA]

A1=17[3(1001)(5312)]=17[3(1001)(5312)]=1(7)[35030+13+2]=17[2315]

Hence, A1=17[2315]

Question:12

Find the matrix A satisfying the matrix equation:

[2132]A[3253]=[1001]

Answer:

We have [2132]A[3253]=[1001] or PAQ=I,

Where P=[2132] and Q=[3253]

P1PAQ=P1IIQA=P1AQ=P1AQQ1=P1Q1AI=P1Q1 A=P1Q1

Now adj. P=[2132] and |P|=1

P1=[2132]

Q1=[3253]A=P1Q1=[2132][3253]=[65439+106+6]=[1110]

Question:13

Find A, if [413]A=[484121363].

Answer:

We have, [413]A=[484121363]

Let A=[xyz]

[413][xyz]=[484121363][4x4y4zxyz3x3y3z][484121363]

Comparing elements of both sides

4x=4x=14y=8y=2

And 4z = 4

⇒ z = 1

A=[121]

Question:14

If A=[341120]and B=[212124] then verify (BA)2B2A2

Answer:

Here, B=[212124]2×3 and A=[341120]3×2

BA=[6+1+48+1+03+2+84+2+0]2×2BA=[117132]

L.H.S: (BA)2=(BA)(BA)

=[117132][117132][1219177+141432691+4][306311787]

 R.H.S: B 2=BB=[212124]2×3[212124]2×3

Here, the number of columns of the first

i.e., 3 is not equal to the number of rows of the second matrix i.e., 2.

So, B2 is not possible.

Similarly, A2 is also not possible.

Hence, (BA)2 B2 A2

Question:15

If possible, find BA and AB, where
A=[212124],B=[412312]

Answer:

BA=[412312]3×2[212124]2×3BA=[8+14+28+44+32+64+122+21+42+8]3×3=[961278164510]3×3

Now AB=[212124]2×3[412312]3×2

=[8+2+22+3+44+4+41+6+8]2×2=[1291215]2×2

Hence, BA=[961278164510] and AB=[1291215].

Question:16

An example is shown for A ≠ O, B ≠ O, AB = O.

Answer:

Let A=[1111] and B=[1111]

AB=[1111][1111]AB=[11111+11+1]=[0000]=O

Hence, A=[1111] and B=[1111]

Question:17

Given A=[240396]and B=[142813] . Is (AB)=BA?

Answer:

 Here, A=[240396],B=[142813]AB=[240396][142813]

=[2+8+08+32+03+18+612+72+18]=[104027102]

 L.H.S. (AB)=[102740102] Now B=[142813]

B=[121483]A=[240396]A=[2349006]

R.H.S. BA=[121483][234906]

=[2+8+03+18+68+32+01272+18]=[102740102]= L.H.S. 

Hence, L.H.S. = R.H.S.

Question:18

Solve for x and y:
x[21]+y[35]+[811]=0

Answer:

Given that: x=x[21]+y[35]+[811]=O

L.H.S. x[21]+y[35]+[811]=O

[2xx]+[3y5y]+[811]=O[2x+3y8x+5y11]=[00]

Comparing the corresponding elements of both sides, we get,

2x+3y8=02x+3y=8x+5y11=0x+5y=11

Multiplying equation (1) by 1 and equation (2) by 2, and then subtracting, we get,

2x+3y=82x+10y=22()()()7y=14

y=2

x+5×2=11x+10=11x=1110=1

Hence, the values of x and y are 1 and 2, respectively.

Question:19

If X and Y are 2 × 2 matrices, solve the following matrix equations for X and Y.
2X+3Y=[2340],3X+2Y=[2215]

Answer:

We have the given matrix equations,
2X+3Y=[2340],3X+2Y=[2215]
By subtracting equation (i) from (ii), we get
(3X+2Y)(2X+3Y)=[2215][2340]3X+2Y2X3Y=[22231450]3X2X+2Y3Y=[4135]XY=[4135]
By adding equations (i) and (ii), we get
(3X+2Y)+(2X+3Y)=[2215]+[2340]3X+2Y+2X+3Y=[2+22+31+45+0]3X+2X+2Y+3Y=[0555]5X+5Y=[0555]5(X+Y)=[0555]X+Y=15[0555]X+Y=[15×015×515×515×5]X+Y=[0111]
By adding equations (iii) and (iv), we get
(XY)+(X+Y)=[4135]+[0111]XY+X+Y=[4+01+13+151]X+XY+Y=[4026]2X=[4026]X=12[4026]X=[12×412×012×212×6]X=[2013]
Substituting the matrix A in equation (iv), we get
[2013]+Y=[0111]Y=[0111][2013]Y=[0(2)101(1)1(3)]Y=[211+11+3]Y=[2122]X=[2013]and Y=[2122]

Question:20

If A=[35],B=[73], then find a non-zero matrix C such that AC = BC.

Answer:

We have, A=[35]1×2 and B=[73]1×2

For AC=BC

We have order of C=2×n

For n=1

Let C=[xy]

AC=[35][xy]=[(3x+5y]

And BC=[73][xy]=[3x+5y]

For AC=BC,

[3x+5y]=[7x+3y]3x+5y=7x+3y4x=2yx=12yy=2xC=[x2x]

We see that on taking C of order 2×1,2×2,2×3,, we get

C=[x2x],[xx2x2x],[xxx2x2x2x]

In general,

C=[k2k],[kk2k2k] etc

Where k is any real number.

Question:21

Given an example of matrices A, B, and C such that AB = AC, where A is an on-zero matrix, but B ≠ C.

Answer:

Let A=[1000],B=[1110] and C=[1112].[BC]

AB=[1000][1110]=[1100]..(i)

And AC=[1000][1112]=[1100]

We have AB=AC but BC

Question:22

If A=[1221],B=[2334]and C=[1010], verify:
(i) (AB)C=A(BC)
(ii) A(B+C)=AB+AC

Answer:

i) We have, A=[1221], B=[2334] and C=[1010]

AB=[1221][2334]=[2+6384+364]=[85110]

And (AB)C=[85110][1010]

=[8+501+100]=[13090]..(i)

Again, (BC)=[2334][1010]

=[2303+40]=[1070]

And A(BC)=[1221][1070]

=[1+1402+70]=[13090]

From (i) and (ii), we get

(AB)C=A(BC)

ii) We have, A=[1221],B=[2334] and C=[1010]

B+C=[2334]+[1010]=[3324]

A(B+C)=[1221][3324]

=[3+4386+264]

=[75410].. (iii)

AB=[1221][2334]

=[2+6384+364]=[85110]

And AC=[1221][1010]

=[120210]=[1030]

AB+AC=[85110]+[1030]

=[75410]

A(B+C)=AB+AC

Question:23

If P=[x000y000z],Q=[a000b000c] prove that PQ=[xa000yb000zc]=QP.

Answer:

Given that,

P=[x000y000z] and Q=[a000 b000c]PQ=[x000y000z][a000 b000c]

PQ=[xa+0+00+0+00+0+00+0+00+y b+00+0+00+0+00+0+00+0+zc]PQ=[xa000y b000zc]

Now QP=[a000 b000c][x000y000z]

QP=[xa+0+00+0+00+0+00+0+00+y b+00+0+00+0+00+0+00+0+zc]QP=[xa000y b000zc]

Hence, PQ=QP.

Question:24

If [213][101110011][101]=A , find A

Answer:

We have, [213]1×3[101110011]3×3[101]3×1=A

[213]1×3[1+0+11+0+00+01]3×1=A

[213]1×3[011]3×1=A[013]=AA=[4]

Question:25

If A=[21],B=[534876]and C=[121102] verify that A(B+C)=(AB+AC)

Answer:

We have A=[21],B=[534876] and C=[121102]

A(B+C)=[21][513+24+18+17+06+2]=[21][455978]=[8+910+710+8]=[171718].(i)

Now AB=[21][534876]

=[10+86+78+6]=[18314]

And AC=[21][121102]

=[2+14+02+2][144]AB+AC=[181314]+[144]=[171718]..(ii)

From equations (i) and (ii)
A(B+C)=(AB+AC)

Question:26

If A=[101213011], then verify that A2+A=A(A+I), where I is 3 × 3 unit matrix.

Answer:

We have, A=[101213011]

A2=AA=[101213011][101213011]=[1+0+00+011+012+2+00+1+32+3+30+2+00+1+10+3+1]=[112444224]

A2+A=[112444224]+[104213011]

=[213657235].(i)

Now, A+I=[101213011]+[100010001]

=[201223012]

So, A(A+I)=[101213011][201223012]

=[2+0+00+011+024+2+00+2+32+3+60+2+00+2+10+3+2]

=[213657235]

From (i) and (ii)

We get A2+A=A(A+I)

Question:27

If A=[012434]and B=[401326], then verify that:
(i) (A’)’ = A
(ii) (AB)’ = B’A’
(iii) (kA)’ = (kA’)

Answer:

i) Given that: A=[012434],B=[401326]

A=[012434]2×3=[041324]3×2( A)=[041324]3×2=[012434]2×3=A

ii) Given that: A=[012434],B=[401326]

L.H.S. AB=[012434]2×3[401326]3×2

=[01+403+1216+380+924]2×2=[391115]2×2

(AB)=[311915]2×2 R.H.S. B=[401326]

=[412036]A=[012434]=[041324]

BA=[412036]2×3[041324]3×2

=[01+416+3803+120+924]2×2=[311915]2×2

L.H.S. = R.H.S.

Hence, (AB)=BA is verified.

iii)  Given that: A=[012434],B=[401326] L.H.S. kA =k[012434]

=[0k2k4k3k4k](kA)=[04kk3k2kk]

R.H.S. kA=k[012434]

=k[041324]=[04kk3k2k4k]

Hence, L.H.S. = R.H.S.

(kA)=(kA) is verified.

Question:28

If A=[124156],B=[126473] then verify that:

(i) (2A + B)’ = 2A’ + B’
(ii) (A - B)’ = A’ - B’.

Answer:

i) Given that: A=[124156] and B=[126473]

L.H.S. (2 A+B)=[2(124156)+(126473)]

=[(24821012)+(126473)]=[2+14+28+62+410+712+3]=[361461715]=[314176615]

R.H.S. 2A+B=2[124156]+[126473]

=2[145216]+[167243]=[28104212]+[167243]=[2+18+610+74+22+412+3]=[314176615]

Hence, L.H.S. = R.H.S.

(2 A+B)=2 A+B is verified.

ii) Given that: A=[124156] and B=[126473]

L.H.S. (AB)=[(124156)(126473)]

=[112246145763]=[002323]=[022033]

R.H.S. AB=[124156][126473]

=[145216][167243]=[114657221463]=[022033]

Hence, L.H.S. = R.H.S. (AB)=AB is verified.
Question:29

Show that A’A and AA’ are both symmetric matrices for any matrix A.

Answer:

We know that,
In linear algebra, a symmetric matrix is a square matrix that is equal to its transpose. Formally, because equal matrices have equal dimensions, only square matrices can be symmetric.
We know that the transposition of AB is given by
(AB)’ = B’A’
Using this result, and by taking the transpose of A’A, we have,
Transpose of A’A = (A’A)T = (A’A)’
Using, transpose of A’A = (A’A)’
⇒ (A’A)’ = A’(A’)’
And also,
(A’)’ = A
So,
(A’A)’ = A’A
Since (A’A)’ = A’A
This means that A’A is the symmetric matrix for any matrix A.
Now, take the transpose of AA’.
Transpose of AA’ = (AA’)’
⇒ (AA’)’ = (A’)’A’ [ (AB)’ = B’A’]
⇒ (AA’)’ = AA’ [(A’)’ = A]
Since (AA’)’ = AA’
This means, AA’ is the symmetric matrix for any matrix A.
Thus, A’A and AA’ are symmetric matrices for any matrix A.

Question:30 Let A and B be square matrices of the order 3 × 3. Is (AB)2=A2B2? Give reasons.

Answer:

As A and B are square matrices of order 3×3.

We have, (AB)2=ABAB

=A(BA)B=A(AB)B.[IfAB=BA]=AABB=A2 B2

Thus, (AB)2=A2 B2 is true only if AB=BA.

Question:31

Show that if A and B are square matrices such that AB = BA, then (A+B)2=A2+2AB+B2.

Answer:

Given that A and B are square matrices such that AB=BA.

So, (A+B)2=(A+B)(A+B)

=A2+AB+BA+B2=A2+AB+AB+B2.[ Since, AB=BA]=A2+2AB+B2

Question:32.1

Let A=[1213],B=[4015],C=[2012] and a = 4, b = -2.
Show that:
A + (B + C) = (A + B) + C

Answer:

Given,
A=[1213],B=[4015],C=[2012]
 LHS =A+(B+C)=[1213]+([4015]+[2012])LHS=[1213]+([4+20+01+152])
LHS=[1213]+[6023]=[7216]RHS=(A+B)+C=([1213]+[4015])+[2012]RHS=([1+42+01+13+5])+[2012]RHS=[5208]+[2012]=[7216] Clearly LHS =RHS=[7216] Hence, we have A+(B+C)=(A+B)+C ...proved 

Question:32.2

Let A=[1213],B=[4015],C=[2012] and a = 4, b = -2.
Show that:
A(BC) = (AB)C

Answer:

We have to prove that: A(BC) = (AB)C
 LHS = A(BC)=[1213]([4015][2012])LHS=[1213](4×2+0×14×0+0×(2)1×2+5×11×0+5×(2)])LHS=[1213][80710]LHS=[22201330]
RHS=(AB)C=([1213][4015])[2012] By matrix multiplication as done for LHS RHS=[610115][2012]RHS=[22201330] Evidently, LHS = RHS =[22201330]A(BC)=(AB)C .proved 

Question:32.3

Let A=[1213],B=[4015],C=[2012] and a = 4, b = -2.
Show that:(a + b)B = aB + bB

Answer:

To prove: (a + b)B = aB + bB
Given, a = 4 and b = -2
LHS=(4+(2))B=2[4015]=[80210] \RHS=aB+bB=4[4015]2[4015] \RHS=[160420][80210]=[80210]
It is clear that, LHS=RHS=[80210]
Hence, we have,
(a + b)B = aB + bB …proved

Question:32.4

Let A=[1213],B=[4015],C=[2012] and a = 4, b = -2.

Show that:
a(C - A) = aC -aA

Answer:

We have,

A=[1213]B=[4015]C=[2012]

And a=4,b=2

And a(CA)=4(CA)

=[48820]

Also, aCaA=4C4 A

=[8048][48412]=[48820]=a(CA)

Clearly LHS=RHS=[48820]

Hence proved.

Question:32.5

Let A=[1213],B=[4015],C=[2012] and a = 4, b = -2.
Show that: (AT)T=A

Answer:

To prove: (AT)T=A
In the transpose of a matrix, the rows of the matrix become the columns.
 LHS =(AT)T=([1213]T)T=[1123]T=[1213]=A=RHS
Hence, proved.

Question:32.6

Let A=[1213],B=[4015],C=[2012] and a = 4, b = -2.
Show that:
(bA)T=bAT

Answer:

a) To prove: (bA)T=bAT
As, LHS = (bA)T=(2A)T=(2[1213])T
(bA)T=(2A)T=[2426]T=[2246]

 Similarly, RHS=2[1213]T=2[1123]=[2246] Hence proved LHS=RHS=[2246] Then, (bA)T=bA proved 

Question:32.7

Let A=[1213],B=[4015],C=[2012] and a = 4, b = -2.
Show that: (AB)T=BTAT

Answer:

To prove: (AB)T=BTAT
By multiplying the matrices and taking the transpose, we get,
 LHS =([1213][4015])T LHS =[1×4+2×11×0+2×51×4+3×11×0+3×5]T=[610115]T LHS =[611015]
As RHS=BA
By taking the transpose of matrices and then multiplying, we get,
 RHS =[4015]T[1213]T=[4105][1123] RHS =[4×1+1×(2)4×(1)+1×30×1+5×(2)0×(1)+5×3]=[611015]
We have, LHS = RHS = [611015]
Hence (AB)=BA... proved

Question:32.8

Let A=[1213],B=[4015],C=[2012] and a = 4, b = -2.

Show that:
(A - B)C = AC - BC

Answer:

We have,

A=[1213]B=[4015]C=[2012]a

And a=4,b=2

(AB)=[1213][4015]=[14201135]=[3222]

(AB)C=[3222][2012]=[4464]

Now, AC=[1213][2012]

=[4416]

And BC=[4015][2012]

=[80710]

ACBC=[4840176+10]=[4464]=(AB)C

Hence proved.

Question:32.9

Let A=[1213],B=[4015],C=[2012] and a = 4, b = -2.

Show that:
(AB)T=ATBT

Answer:

To Prove: (AB)T=ATBT
(AB)=[14201135]=[3222]
(AB)T=[3222]
ATBT=[1123][4105]=[3222]=(AB)T
Hence (AB)T=ATBT.

Question:33

If A=[cosθsinθsinθcosθ], then show that A2=[cos2θsin2θsin2θcos2θ]

Answer:

As A=[cosθsinθsinθcosθ],
A2=[cosθsinθsinθcosθ][cosθsinθsinθcosθ]
According to the rule of matrix multiplication:
A2=[cosθ×cosθ+sinθ×(sinθ)cosθ×sinθ+sinθ×cosθcosθ×sinθ+(sinθ×cosθ)cosθ×cosθ+sinθ×(sinθ)]A2=[cos2θsin2θ2sinθcosθ2sinθcosθcos2θsin2θ]
We know that:
2sinθcosθ=sin2θ and cos2θsin2θ=cos2θA2=[cos2θsin2θsin2θcos2θ]
Hence, proved.

Question:34

If A=[0xx0],B=[0110] and x2=1, then show that (A+B)2=A2+B2.

Answer:

 As, LHS =(A+B)2=([0xx0]+[0110])2LHS=[01x1+x0]2=[01x1+x0][01x1+x0] By the rule of matrix multiplication we can write LHS as -  LHS =[0+(1x)(1+x)00(1+x)(1x)]LHS=[1x2001x2] Given x2=1LHS=[1(1)001(1)]=[2002]
RHS=A2+B2=[0xx0]2+[0110]2RHS=[0xx0][0xx0]+[0110][0110]
By the rule of matrix multiplication, we can write-
RHS=[x200x2]+[1001]=[1x2001x2]
Given x2=1
RHS=[1(1)001(1)]=[2002]
We have, RHS=LHS=[2002]
Hence, (A+B)2=A2+B2. -proved

Question:35

Verify that A2=I when A=[011434334]

Answer:

We need to prove that
A2=I=[100010001]A=[011434334]A2=[011434334][011434334]
According to the rule of matrix multiplication, we have-
A2=[0×0+1×4+(1)×30×1+1×(3)+(1)×(3)0×(1)+1×4+(1)×44×0+(3)×4+4×34×1+(3)×(3)+4×(3)4×(1)+(3)×4+4×43×0+(3)×4+4×33×1+(3)×(3)+4×(3)3×(1)+(3)×4+4×4]A2=[433+34412+124+912412+1612+123+9123+1612]A2=[100010001]=I Hence Proved 

Question:36

Prove by Mathematical Induction that (A)n=(An), where n ∈ N for any square matrix A.

Answer:

Let P(n):(A)n=(An)

P(1):(A)=(A)

A=A

P(1) is true.

Now, let P(k)=(A)k=(Ak)

Where kN

And P(k+1):(A)k+1=(A)kA

=(A)kA

=(AAk).....(As(AB)=BA)

=(Ak+1)

Thus P(1) is true and whenever P(k) is true P(k+1) is true, So, P(n) is true for all nN

Question:37.1

Find the inverse, by elementary row operations (if possible), of the following matrices.
[1357]

Answer:

Let A=[1357]
To apply elementary row transformations, we can say that:
A = IA where I is the identity matrix
We proceed with solving the problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that.
I = XA
And this X is called the inverse of A = A-1.
So we get:
[1357]=[1001]A By Applying R2R2+5R1[13022]=[1051]A By Applying R2(1/22)R2[1301]=[10522122]A By Applying R1R13R2[1001]=[722322522122]A As we have an Identity matrix in LHS. 
A1=[722322522122]

Question:37.2

Find the inverse, by elementary row operations (if possible), of the following matrices.
[1326]

Answer:

Let B=[1326]
To apply elementary row transformations, we write:
B = IB where I is the identity matrix
We proceed with solving the problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that.
I = XB
And this X is called inverse of B=B1
So we get,
[1326]=[1001]B
By Applying R2→ R2 + 2R1
[1300]=[1021]A
We have all zeroes in one of the rows of the matrix in the LHS.
So by any means, we can't make an identity matrix in LHS.
∴ The inverse of B does not exist.
B1 does not exist.

Question:38

If [xy4z+6x+y]=[8w06] then find values of x, y, z and w.

Answer:

Given that: [xy4z+6x+y]=[8w06]

Equating the corresponding elements,

xy=8w=4z+6=0z=6,x+y=6

Now, solving x+y=6

And xy=8 (ii)

From equation (i), y=6x

Putting the value of y in equation (ii), we get,

x(6x)=86xx2=8x26x+8=0x24x2x+8=0x(x4)2(x4)=0(x4)(x2)=0x=4,2

From equation (iii)

y=2,4

Hence, x=4 or 2,y=2 or 4,z=6 and w=4.

Question:39

If A=[15712] and B=[9178] find a matrix C such that 3A + 5B + 2C is a null matrix.

Answer:

Given that:
3A + 5B + 2C = O = null matrix
We have to determine the value of C,
 As, 3[15712]+5[9178]+2C=[0000][3152136]+[4553540]+2C=[0000]2C+[48205676]=[0000]2C=[0000][48205676]2C=[48205676]C=12[48205676]=[24102838]

Question:40

If A=[3542] then find A25A14I. Hence, obtain A3.

Answer:

Given that: A=[3542]

A2=AA

=[3542][3542]=[9+20151012820+4]=[29252024]

A25 A14I=[29252024]5[3542]14[1001]

=[29252024][15252010][140014]=[29252024][29252024]=[292925+2520+202424]=[0000]

Hence, A25 A14I=0

Now, multiplying both sides by A, we get,

A2A5AA14IA=0A

A35A214A=0A3=5A2+14AA3=5[29252024]+14[3542]

=[145125100120]+[42705628]=[145+421257010056120+28]=[187195156148]

Hence, A3=[187195156148]

Question:41

Find the value of a, b, c, and d, if 3[abcd]=[a612 d]+[4a+bc+d3]

Answer:

Given that: 3[abcd]=[a612 d]+[4a+bc+d3]

[3a3 b3c3 d]=[a+46+a+b1+c+d2 d+3]

Equating the corresponding elements, we get,

3a=a+43aa=42a=4a=23 b=6+a+b3 bba=62 ba=62 b2=62 b=8 b=4

3c=1+c+d3ccd=12cd=1

And 3 d=2 d+3

3d2d=3d=3

Now 2cd=1

2c3=12c=312c=2c=1a=2, b=4,c=1 and d=3.

Question:42

Find the matrix A such that

[211034]A=[181012592215]

Answer:

Order of matrix [211034] is 3×2 and the matrix

[181012592215] is 3×3

Order of matrix A must be 2×3

Let A=[abcdef]2×3

So, [211034][abcdef]=[181012592215]

[2ad2 be2cfa+0 b+0c+03a+4 d3 b+4e3c+4f]=[18101259225]

Equating the corresponding elements, we get,

2ad=1 and a=12×1d=1d=2+1d=3

2 be=8 and b=22(2)e84e=8e=42cf=10 and c=52(5)f=1010f=10f=0a=1, b=2,c=5, d=3,e=4 and f=0

Hence, A=[125340].

Question:43

If A=[1241] find A2+2A+7I

Answer:

We are given the following matrix A such that,
A=[1241]
A2=A.AA2=[1241][1241]
According to the rule of matrix multiplication, we get
A2=[1×1+2×41×2+2×14×1+1×44×2+1×1]A2=[9489]A2+2 A+71=[9489]+2[1241]+7[1001]A2+2 A+7I=[9489]+[2482]+[7007]A2+2A+7I=[9+2+74+4+08+8+09+2+7]A2+2 A+7I=[1881618]ans

Question:44

If A=[cosαsinαsinαcosα] and A1=A, find value of α

Answer:

Here, A=[cosαsinαsinαcosα]

Given that: A1=A

Pre-multiplying both sides by A

AA1=AA

I=AA.[AA1=I][1001]=[cosαsinαsinαcosα][cosαsinαsinαcosα][1001]=[cos2α+sin2αsinαcosα+sinαcosαsinαcosα+cosαsinαsin2α+cos2α][1001]=[1001]

Hence, it is true for all values of a.

Question:45

If the matrix [0a32b1c10] is a skew-symmetric matrix, find the values of a, b and c.

Answer:

A matrix is said to be skew-symmetric if A = -A’
Let, A = [0a32b1c10]
As A is a skew-symmetric matrix.
∴ A = -A’
[0a32b1c10]=[0a32b1c10]T[0a32b1c10]=[02cab1310][0a32b1c10]=[02cab1310]
Equating the respective elements of both matrices, as both matrices are equal to each other, we have,
a = -2 ; c = -3 ; b = -b ⇒ 2b = 0 ⇒ b = 0
Thus, we get,
a = -2 , b = 0 and c = -3

Question:46

If P(x)=[cosxsinxsinxcosx] then show that

P(x).P(y)=P(x+y)=P(y).P(x)

Answer:

We have, P(x)=[cosxsixsinxcosx]

P(y)=[cosysinysinycosy]

Now,

P(x)P(y)=[cosxsinxsinxcosx][cosysinysinycosy]

=[cosxcosysinxsinycosxsiny+sinxcosysinxcosycosxsinysinxsiny+cosxcosy]=[cos(x+y)sin(x+y)sin(x+y)cos(x+y)]

=P(x+y)(i)

Also,

P(y)P(x)=[cosysinysinycosy][cosxsinxsinxcosx]

=[cosycosxsinysinxcosysinx+sinycosxsinycosxsinxcosysinysinx+cosycosx]

=[cos(x+y)sin(x+y)sin(x+y)cos(x+y)]

P(x)(y)=P(x+y)=P(y)P(x)

Question:47

If A is square matrix such that A2=A, show that (I+A)3=7A+I.

Answer:

We know that,

A. I = I. A

So, A and I are commutative.

Thus, we can expand (I+A)3 like real numbers expansion.

So, (I+A)3=I3+3I2A+3IA2+A3

=I+3IA+3 A2+AA2..(AsIn=I,nN)=I+3 A+3 A+AA=I+3 A+3 A+A2=I+3 A+3 A+A=I+7 A

Hence proved,
(I+A)3=I+7A

Question:48

If A and B are square matrices of the same order and B is a skew-symmetric matrix, show that A’ BA is skew-symmetric.

Answer:

Given that B is a skew-symmetric matrix

B=B

Let P=ABA

=AB(A).[(AB)=BA]=A(B)A=ABA=P

So P=P

Thus, we say that C = A’ BA is a skew-symmetric matrix.

Question:49

If AB = BA for any two square matrices, prove by mathematical induction that (AB)n=AnBn.

Answer:

Let P(n):(AB)n=AnBn

So, P(1) : (AB)1=A1 B1

AB=AB

So, P(1) is true.

Let P(n) is true for some kN

So, P(k):(AB)k=AkBk,kN

Now (AB)k+1=(AB)k(AB).( Using (i))

=AkBk(AB)=AkBk1(BA)B=AkBk1(AB)B.( As given AB=BA)=AkBk1AB2=AkBk2(BA)B2=AkBk2ABB2=AkBk2AB3
=Ak+1 Bk+1

Thus P(1) is true and whenever P(k) is true P(k+1) is true.

So, P(n) is true for all nN.

Question:50

Find x, y, z if A=[02yzxyzxyz] satisfies A=A1

Answer:

Matrix A is such that A=A1

AA=I

[02yzxyzxyz][0xx2yyyzzz]=[100010001]

[4y2+z22y2z22y2+z22y2z2x2+y2+z2x2y2z222+z2x2y2+z2x2+y2+z2]=[100010001]

4y2+z2=12y2z2=0x2+y2+z2=1x2y2z2=0

y2=16,z2=13,x2=12x=±12y=±16

And z=±13

Question:51.1

If possible, using elementary row transformations, find the inverse of the following matrices.
[213531323]

Answer:

Let A = [213531323]
To apply elementary row transformations, we write:
A = IA where I is the identity matrix
We proceed with solving the problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that.t
I = XA
And this X is called inverse of A=A1
Note: Never apply row and column transformations simultaneously over a matrix.
So we get,
[213531323]=[100010001]A Applying R2R2+R1[213324323]=[100110001]A Applying R3R3R2[213324001]=[100110111]A Applying R1R1+R2[117324001]=[210110111]A
Applying R 2 → R 2 - 3R 1
[1170117001]=[210520111]A Applying R3(1)R3[1170117001]=[210520111]A
 Applying R1R1+R2
[10100117001]=[310520111]A
 Applying R1R1+10R3 and R2R2+17R3[100010001]=[7910121517111]A Applying R1(1)R1 and R2(1)R2
[100010001]=[7910121517111]A
 As we have an Identity Matrix in LHS, A1=[7910121517111]

Question:51.2

If possible, using elementary row transformations, find the inverse of the following matrices.
[233122111]

Answer:

Let A = [233122111]
To apply elementary row transformations, we write:
A = IA where I is the identity matrix
We proceed with solving the problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that.t
I = XA
And this X is called inverse of A=A1
Note: Never apply row and column transformations simultaneously over a matrix.
So we get:
[233122111]=[100010001]A Applying R2R2+R3[233011111]=[100011001]A Applying R1R12R3[011011111]=[102011001]A Applying R2R1+R2[011000111]=[102111001]A
The second row of LHS contains all zeros, so we aren’t going to get any matrix in LHS.
∴ The inverse of A does not exist.
Hence, A-1 does not exist.

Question:51.3

If possible, using elementary row transformations, find the inverse of the following matrices.
[201510013]

Answer:

Let A = [201510013]
To apply elementary row transformations, we write:
A = IA where I is the identity matrix
We proceed with solving our problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that:
I = XA
And this X is called inverse of A=A1
Note: Never apply row and column transformations simultaneously over a matrix.
So we get,
[201510013]=[100010001]A Applying R2R2(5/2)R1[2010152013]=[1005210001]A Applying R3R3R2[20101520012]=[10052105211]A
 Applying R2R25R3[2010100012]=[10015655211] Applying R1R1+2R3[2000100012]=[62215655211] Applying R1(1/2)R1 and R32R3[100010001]=[3111565522]A
 As we have Identity matrix in LHS, we get, A1=[3111565522]

Question:52

Express the matrix [231112412] as the sum of a symmetric and a skew-symmetric matrix.

Answer:

If A is any matrix, then it can be written as the sum of a symmetric and skew-symmetric matrix.
Symmetric matrix is given by 1/2(A + A’)
Skew symmetric is given by 1/2(A - A’)
And A = 1/2(A + A’) + 1/2(A - A’)
Here, A = [231112412]
The symmetric matrix is given by –
12(A+A)=12([231112412]+[231112412]T)
1/2(A+A)=12([231112412]+[214311122])
1/2(A+A)=12([2+23+11+41+3112+14+11+22+2])
1/2(A+A)=[445423534]=[2252213252322]
Skew Symmetric matrix is given by –
12[231112412]12[231112412]T
12(AA)=12([231112412][231112412]T)
1/2(AA)=12([231112412][214311122])
1/2(AA)=12([223114131+121411222])
12[023201310]=[0132101232120]
A=[2252213252322]+[0132101232120]

Question:53

The matrix P=[004040400] is a
A. square matrix
B. diagonal matrix
C. unit matrix
D. none

Answer:

As P has an equal number of rows and columns and thus it matches the definition of a square matrix.
The given matrix does not satisfy the definition of unit and diagonal matrices.
Hence, we can say that,
∴ Option (A) is the only correct answer.

Question:54

The total number of possible matrices of order 3 × 3 with each entry 2 or 0 is
A. 9
B. 27
C. 81
D. 512

Answer:

D)
As the above matrix has a total of 3×3 = 9 elements, then
As each element can take 2 values (0 or 2)
∴ By simply counting principles, we can say that the total number of possible matrices = total number of ways in which 9 elements can take possible values = 29 = 512
It matches with option D.
Hence, we can say that,
∴ Option (D) is the only correct answer.

Question:55

If [2x+y4x5x74x]=[77y13yx+6] then the value of x + y is
A. x = 3, y = 1
B. x = 2, y = 3
C. x = 2, y = 4
D. x = 3, y = 3

Answer:

Given that: [2x+y4x5x74x]=[77y13yx+6]

Equating the corresponding elements, we get,

2x+y=7.(i)

And 4x=x+6

From equations (ii)

4xx=63x=6x=2

From equations (i)

2×2+y=74+y=7y=74=3

Option(B) is the correct answer.

Question:56

If A=1π[sin1(xπ)tan1xπsin1xπcot1(πx)],B=1π[cos1(xπ)tan1xπsin1xπtan1(πx)] then A - B is equal to
A. I
B. O
C. 2I
D. 12I

Answer:

Given that: A=1π[sin1(xπ)tan1(xπ)sin1(xπ)cot1(πx)]

And B=1π[cos1(xπ)tan1(xπ)sin1(xπ)tan1(πx)]

AB=1π[sin1(xπ)tan1(xπ)sin1(xπ)cot1(πx)]1π[cos1(xπ)tan1(xπ)sin1(xπ)tan1(πx)]

=1π[sin1(xπ)+cos1(xπ)tan1(xπ)tan1(xπ)sin1(xπ)sin1(xπ)cot1(πx)+tan1(πx)]

=1π[π200π2][sin1x+cos1x=π2tan1x+cot1x=π2]

=1π×π2[1001]

=12I

∴ Option (D) is the only correct answer.

Question:57

If A and B are two matrices of the order 3 × m and 3 × n, respectively, and m = n, then the order of matrix (5A - 2B) is
A. m × 3
B. 3 × 3
C. m × n
D. 3 × n

Answer:

As the order of A is 3 × m and the order of B is 3 × n
As m = n. So, the order of A and B is the same = 3 × m
∴ Subtraction can be carried out.
And (5A - 3B) also has the same order.
Hence, option D is correct.

Question:58

If A=[0110] then A2 is equal to
A. [0110]
B.[1010]
C.[0101]
D.[1001]

Answer:

 Let A=[0110]A2=[0110][0110] By the rule of matrix multiplication, we have, A2=[1001] which matches with option (D) 
Hence, we can say that,
∴ Option (D) is the correct answer.

Question:59

If matrix A=[aij]2×2, where aij = 1 if i ≠ j
aij = 0 if i = j, then A2 is equal to
A. I
B. A
C. 0
D. None of these

Answer:

We are given that,
a11=0,a12=1,a21=1 and a_{22} = 0$
A=[0110]A2=[0110][0110]
According to the rule of matrix multiplication:
A2=[1001] which matches with option (A)
Hence, we can say that,
∴ Option (A) is the correct answer.

Question:60

The matrix [100020004] is a
A. Identity matrix
B. symmetric matrix
C. skew-symmetric matrix
D. none of these

Answer:

 Let A=[100020004] Then, A=[100020004]T=[100020004]=A
As, AT=A
∴ It is a symmetric matrix.
Hence, we can say that,
∴ Option(B) is the correct answer.

Question:61

The matrix [05850128120] is a
A. diagonal matrix
B. symmetric matrix
C. skew-symmetric matrix
D. scalar matrix

Answer:

Let A = [05850128120]
A=[05850128120]T=[05850128120]=A
As AT=A
∴ It is a skew-symmetric matrix.
Hence, we can say that,
∴ Option(C) is the correct answer.

Question:62

If A is a matrix of order m × n and B is a matrix such that AB’ and B’A are both defined, then the other of matrix B is
A. m × m
B. n × n
C. n × m
D. m × n

Answer:

As AB’ is defined. So, B’ must have n rows.
∴ B has n columns.
And, B’A is also defined. As A’ has order n × m
∴ B’A to exist, B must have m rows.
∴ m × n is the order of B.
Hence, we can say that,
Option (D) is the correct answer.

Question:63

If A and B are matrices of the same order, then (AB’ - BA’) is a
A. skew-symmetric matrix
B. null matrix
C. symmetric matrix
D. unit matrix

Answer:

Let C = (AB’ - BA’)
C’ = (AB’ - BA’)’
C’ = (AB’)’ - (BA’)’
C’ = (B’)’ A’ - (A’)’ B’
C’ = BA’ - AB’
C’ = -C
∴ C is a skew-symmetric matrix.
Option (A) matches with our deduction.
Hence, we can say that,
∴ Option (A) is the correct.

Question:64

If A is a square matrix such that A2=I, then (AI)3+(A+I)37A is equal to
A. A
B. I - A
C. I + A
D. 3A

Answer:

As, (AI)3+(A+I)37A
Use a3+b3=(a+b)(a2+ab+b2)
Also, A2=I
(AI)3+(A+I)37A
=A33A2+3AI3+A3+3A2+3A+I37A=2A3+6A7A=2A2A+6A7A=2IA+6A7A=2A+6A7A=8A7A=A
∴ then (AI)3+(A+I)37A=AOurr answer is similar to option (A)
Hence, we can say that,
∴ Option (A) is the correct answer.

Question:65

For any two matrices A and B, we have
A. AB = BA
B. AB ≠ BA
C. AB = O
D. None of the above

Answer:

For any two matrices:
Not always are options A, B, and C true.
Hence, we can say that,
∴ Option (D) is the only suitable answer

Question:66

On using elementary column operations C2→ C2 — 2C1 in the following matrix equation
[1324]=[1101][3124] we have:

A.[1504]=[1122][3520]$
B. [1504]=1101[3505]$
C.[1520]=[1301][3124]$
D. [1520]=[1101][3520]$

Answer:

[1324]=[1101][3124]
For column transformation, we operate on the post matrix.
As,
[1324]=[1101][3124]
By Applying C 2 → C 2 — 2C 1 ,
[1520]=[1101][3520]$Itt matches with option (D).
Hence, we can say that,
∴ Option (D) is the correct answer.

Question:67

On using elementary row operation R1→ R1 — 3R2 in the following matrix equation:

[4233]=[1203][2011]
 A. [5733]=[1703][2011]B.[5733]=[1203][1311]C.[5733]=[1217][2011]D.[4257]=[1233][2011]

Answer:

Elementary row transformation is applied to the first matrix of the RHS.
[4233]=[1203][2011]
By Applying R 1 → R 1 — 3R 2 we get -
[4233]=[1203][2011]
[5733]=[1703][2011]
It matches with option (A)
Hence, we can say that,
∴ Option (A) is the correct answer.

Question:68

Fill in the blanks in each of the following:
______ matrix is both symmetric and skew-symmetric matrix.

Answer:

A Zero matrix
∴ Let A be the symmetric and skew-symmetric matrix.
⇒ A’=A (Symmetric)
⇒ A’=-A (Skew-Symmetric)
Considering the above two equations,
⇒ A=-A
⇒ 2A=0
⇒ A=0 (A Zero Matrix)
Hence zero matrix is both a symmetric and skew-symmetric matrix.

Question:69

Fill in the blanks in each of the following:
The sum of two skew-symmetric matrices is always _______ matrix.

Answer:

A skew-symmetric matrix
Let A and B be any two matrices

For skew-symmetric matrices

A=A...(i)

And B = - B

Adding (i) and (ii), we get

A+B=ABA+B=(A+B)

So A+B is skew-symmetric matrix.

Question:70

Fill in the blanks in each of the following:
The negative of a matrix is obtained by multiplying it by ________.

Answer:

The negative of a matrix is obtained by multiplying it by -1.
For example:
 LetA=[1234]
 So [1234]=1[1234]=A

Question:71

Fill in the blanks in each of the following:
The product of any matrix by the scalar _____ is the null matrix.

Answer:

The null matrix is the one in which all elements are zero.
If we want to make A = [1234] a null matrix we need to multiply it by 0.
0A = 0[1234]
[0000]
Hence, we can say that,
The product of any matrix by the scalar 0 is the null matrix.

Question:72

Fill in the blanks in each of the following:
A matrix that is not a square matrix is called a _____ matrix.

Answer:

Rectangular Matrix
As we know, a square matrix is one in which there is the same number of rows and columns.
Eg: A = [1234]
Here there are 2 rows and 2 columns.
The matrix that is not square is called a rectangular matrix as it does not have the same number of rows and columns.
Eg [123456]
Here number of rows is 2 and columns are 3.

Question:73

Fill in the blanks in each of the following:
Matrix multiplication is _____ over addition.

Answer:

Distributive
⇒ Matrix multiplication is distributive over addition.
i.e A(B+C)=AB+AC
and (A+B)C=AC+BC

Question:74

Fill in the blanks in each of the following:
If A is a symmetric matrix, then A3 is a ______ matrix.

Answer:

Given A is a symmetric matrix

A=A

Now(A3)=(A)3.[(A)n=(An)]

=A3

Question:75

Fill in the blanks in each of the following:
If A is a skew-symmetric matrix, then A2 is a _________.

Answer:

Given A is a skew-symmetric matrix.

A=A(A2)=(A)2=(A)2=A2

So, A2 is a symmetric matrix.

Question:76

Fill in the blanks in each of the following:
If A and B are square matrices of the same order, then
(i) (AB)’ = ________.
(ii) (kA)’ = ________. (k is any scalar)
(iii) [k (A - B)]’ = ________.

Answer:

(i) (AB)’ = ________.
(AB)’ = B’A’
Let A be the matrix of order m× n and B be of n× p.
A’ is of order n× m and B’ is of order p× n.
Hence, we get, B’ A’ is of order p× m.
So, AB is of order m× p.
And (AB)’ is of order p× m.
We can see (AB)’ and B’ A’ are of the same order p× m.
Hence proved, (AB)’ = B’ A’
(ii) (kA)’ = ________. (k is any scalar)
If a scalar “k” is multiplied by any matrix the new matrix becomes
K times of the old matrix.
 Eg: A=[1234]2A=2[1234]=[2468](2A)=[2648]A=[1324]
Now 2A’ = 2[1324]=[2648]
Hence (2A)’ =2A’
Hence (kA)’ = k(A)’
(iii) [k (A - B)]’ = ________.
A=[5776]A=[5776]2A=[10141412]B=[1234]B=[1324]2B=2[1324]=[2648]AB=[4542]
 Now Let k=22(AB)=2[4542]=[81084][2(AB)]=[88104]2A2B=[10141412][2648]=[88104]AB=[5776][1324]=[4453]2(AB)=2[4453]=[88106] Hence we can see [k(AB)]=k(A)k(B)=k(AB)

Question:77

Fill in the blanks in each of the following:
If A is skew-symmetric, then kA is a ______. (k is any scalar)

Answer:

A skew-symmetric matrix.
We are given that, A’=-A
⇒ (kA)’=k(A)’=k(-A)
⇒ (kA)’=-(kA)

Question:78

Fill in the blanks in each of the following:
If A and B are symmetric matrices, then
(i) AB - BA is a _________.
(ii) BA - 2AB is a _________.

Answer:

(i) AB - BA is a Skew Symmetric matrix
We are given that A’=A and B’=B
⇒ (AB-BA)’=(AB)’-(BA)’
⇒ (AB)’-(BA)’=B’A’-A’B’
⇒ B’A’-A’B’=BA-AB=-(AB-BA)
⇒ (AB-BA)’=-(AB-BA) (skew symmetric matrix)
 For example, Let A=[1332]B=[1221]AB=[7578] and BA=[7758]ABBA=[0220](ABBA)=[0220]⇒=(ABBA)=[0220]
(ii) BA - 2AB is neither a Symmetric nor Skew Symmetric matrix
Given A’=A and B’=B
⇒ (BA-2AB)’=(BA)’-(2AB)’
⇒ (BA)’-(2AB)’=A’B’-2B’A’
⇒ A’B’-2B’A’=AB-2BA=-(2BA-AB)
⇒ (BA-2AB)’=-(2BA-AB)
 For example Let A=[1332]B=[1221]AB=[7578] and BA=[7758]BA2AB=[7398]

Question:79

Fill in the blanks in each of the following:
If A is a symmetric matrix, then B’AB is _______.

Answer:

B’AB is a symmetric matrix.
Solution:
Given A is a symmetric matrix.
⇒ A’=A ..(1)
Now in B’AB,
Let AB=C ..(2)
⇒ B’AB=B’C
Now Using Property (AB)’=B’A’
⇒ (B’C)’=C’(B’)’ (As (B’)’=B)
⇒ C’(B’)’=C’B
⇒ C’B=(AB)’B (Using Property (AB)’=B’A’)
⇒ (AB)’ B=B’A’B (Using (1))
⇒ B’A’B= B’AB
⇒ Hence (B’AB)’= B’AB

Question:80

Fill in the blanks in each of the following:
If A and B are symmetric matrices of the same order, then AB is symmetric if and only if ______.

Answer:

Given A and B are symmetric matrices,
⇒ A’=A ..(1)
⇒ B’=B ..(2)
Let AB be a Symmetric matrix:-
⇒ (AB)’=AB
Using Property (AB)’=B’A’
⇒ B’A’=AB
⇒ Now using (1) and (2)
⇒ BA=AB
Hence, A and B matrices commute.

Question:81

Fill in the blanks in each of the following:
In applying one or more now operations while finding A1 by elementary row operations, we obtain all zeros in one or more, then A1 ______.

Answer:

A1 Does not exist,
A1=1|A|adj(A)
And |A|=0 if there is one or more rows or columns with all zero elements.

Question:82

Which of the following statements are True or False
A matrix denotes a number.

Answer:

False
A matrix is an ordered rectangular array of numbers of functions.
Only a matrix of order (1×1) denotes a number.
For example, [8]1×1=8

Question:83

Which of the following statements are True or False

Matrices of any order can be added.

Answer:

False
Matrices having the same order can be added.
For example
 Let A=[1332]B=[1221]A+B=[2553]

Question:84

Which of the following statements are True or False
Two matrices are equal if they have the same number of rows and the same number of columns.

Answer:

False
Two matrices are equal if they have the same number of rows and the same number of columns and corresponding elements within each matrix are equal or identical.
For example:
A=[2553],B=[2553]
Here both matrices have two rows and two columns.
Also, they both have the same elements.

Question:85

Which of the following statements are True or False
Matrices of different order cannot be subtracted.

Answer:

True
Matrices of only the same order can be added or subtracted.
Let A = [1332]
B= [10]
⇒ A-B= Not possible

Question:86

Which of the following statements are True or False
Matrix addition is associative as well as commutative.

Answer:

True
1. A+B=B+A (commutative)
2. (A+B)+C= A+(B+C) (associative)

Question:87

Which of the following statements are True or False
Matrix multiplication is commutative.

Answer:

False
In general matrix multiplication is not commutative.
But it’s associative.
⇒ (AB)C=A(BC)

Question:88

Which of the following statements are True or False
A square matrix where every element is unity is called an identity matrix.

Answer:

False
A square matrix where every element of the leading diagonal is unity and the rest elements are zero is called an identity matrix.
i.e I=[100010001]

Question:89

Which of the following statements are True or False
If A and B are two square matrices of the same order, then A + B = B + A.

Answer:

True
If A and B are two square matrices of the same order, then A + B = B + A ( Property of square matrix)
For example,
Let A=[123214341] and B=[457556769]A+B=[57107610101010]B+A=[57107610101010]

Question:90

Which of the following statements are True or False
If A and B are two matrices of the same order, then A - B = B - A.

Answer:

False
If A and B are two matrices of the same order,
then A - B = -(B - A)
For example,
 Let A=[123214341] and B=[457556769]AB=[334342428]BA=[334342428](BA)=[334342428]

Question:91

Which of the following statements are True or False
If matrix AB = O, then A = O or B = O or both A and B are null matrices.

Answer:

False
It's not necessary that for the multiplication of matrices A and B to be 0 one of them has to be a null matrix.
For example,
Let A=[111111111] and B=[111111222]A×B=[111111111][111111222]=[000000000]

Question:92

Which of the following statements are True or False
Transpose of a column matrix is a column matrix.

Answer:

False
Transpose of a column matrix is a Row matrix and vice-versa.
 Let A=[123] (Column Matrix) A=[123] (Row Matrix) 

Question:93

Which of the following statements are True or False
If A and B are two square matrices of the same order, then AB = BA.

Answer:

False
Matrix multiplication is not commutative.
For example,
 Let A=[1332]B=[1221]AB=[7578] and BA=[7758]ABBA

Question:94

Which of the following statements are True or False
If each of the three matrices of the same order is symmetric, then their sum is a symmetric matrix.

Answer:

True
For example,
 Let A=[123214341],B=[457556769] and C=[391928185]
A+B+C=[123214341]+[457556769]+[391928185]
A+B+C=[(1+4+3)(2+5+9)(3+7+1)(2+5+9)(1+5+2)(4+6+8)(3+7+1)(4+6+8)(1+9+5)]
A+B+C=[8161116818111815]

Question:95

Which of the following statements are True or False
If A and B are any two matrices of the same order, then (AB)’ = A’B’.

Answer:

False
If A and B are any two matrices for which AB is defined, then
(AB)’=B’A’.

Question:96

Which of the following statements are True or False
If (AB)’ = B’A’, where A and B are not square matrices, then the number of rows in A is equal to the number of columns in B, and several columns in A are equal to the number of rows in B.

Answer:
Let A=[aij]m×n and B=[bij]p×q

AB is defined when n=P

Order of AB=m×q

Order of (AB)=q×m

Order of B is q×p and order of A is n×m

BA is defined when P=n

And the order of BA is q×m

Hence, order of (AB)= Order of BA i.e., q×m
Hence, the given statement is true.

Question:97

Which of the following statements are True or False
If A, B, and C are square matrices of the same order, then AB = AC always implies that B = C.

Answer:

False
Let A=[1000]

B=[0020]

And C=[0034]

AB=[1000][0020]=[0000]

AC=[1000][0034]=[0000]

Here AB=AC=0 but BC.

Question:98

Which of the following statements are True or False
AA’ is always a symmetric matrix for any square matrix A.

Answer:

True
(AA’)’=(A’)’A’
As we know (A’)’ = A
(AA’)’=AA’ (Condition of the symmetric matrix)

Question:99

Which of the following statements are True or False

If A=[231142] and B=[234521] then AB and BA are defined and equal.

Answer:

False
Here A has an order (2×3) and B has an order (3×2),
Hence AB is defined and will give an output matrix of order (2×2)
And BA is also defined but will give an output matrix of order (3×3).
⇒ AB ≠ BA

Question:100

Which of the following statements are True or False
If A is a skew-symmetric matrix, then A2 is a symmetric matrix.

Answer:

True
For skew-symmetric matrix A’=-A
(A2)=(AA)=AAAA=(A)(A)=A2(A2)=A2 (since A is symmetric )

This equation shows that the transpose of A2 is equal to A2 itself when A is a symmetric matrix (i.e., A=A).

Question 101:

Which of the following statements are True or False
(AB)1=A1.B1, where A and B are invertible matrices satisfying cumulative property concerning multiplication.

Answer:

True
Given:
AB=BA(AB)(A1B1)=(BA)(A1B1)=B(AA1)B1=BIB1=BB1=I(AB)1=A1B1

Students can make use of the NCERT Exemplar Class 12 Maths solutions chapter 3 pdf download to access it offline. We will help the students understand the matrices and their functions and operations by solving the questions given in the NCERT.

NCERT exemplar solutions for Class 12 Maths Chapter 3 Matrices Sub-topics covered

The Sub-Topics That Are Covered Under The Class 12 Maths NCERT Exemplar Solutions Chapter 3 Matrices Are:

  • Introduction
  • Matrix
  • Order of matrix
  • Types of matrices
  • Operations on matrices
  • Addition of matrices
  • Multiplication of a matrix by a scalar
  • Properties of matrix addition
  • Properties of scalar multiplication of a matrix
  • Multiplication of matrices
  • Properties of multiplication of matrices
  • Transpose of matrix
  • Properties of the transpose of matrices
  • Symmetric and skew-symmetric matrices
  • Elementary operation of matrix
  • Invertible matrices
  • The inverse of matrices by elementary operations

NCERT Exemplar Class 12 Maths Solutions

Importance of NCERT Exemplar Class 12 Maths Solutions Chapter 3

  • NCERT exemplar solutions for Class 12 Math Chapter 3 will help the students understand the basics. It will help in developing the concepts.
  • From this article, a student will be able to solve the problems based on applications of matrices.
  • NCERT Exemplar Class 12 Maths Solutions Chapter 3 covers all types of problems, which enable a student to solve higher-order problems.
  • NCERT Exemplar Class 12 Maths chapter 3 solutions are prepared in a simple language only so that it is easier for the student to understand the solution and hence develop the right approach for a particular question.
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Frequently Asked Questions (FAQs)

1. What is the significance of determinants in matrices?

Determinants play a crucial role in matrix algebra and have wide applications in solving mathematical and real-world problems. The determinant of a square matrix is a scalar value that helps determine whether a matrix is invertible; if the determinant is zero, the matrix is singular and non-invertible. Determinants are essential in solving systems of linear equations using Cramer’s Rule, finding the area or volume in geometry, and analyzing linear transformations. In physics and engineering, they help study stability, force systems, and transformations. Thus, determinants are key tools in understanding and applying matrix concepts effectively.

2. What is the condition for a matrix to be invertible?

Condition for a Matrix to Be Invertible
A square matrix is invertible (also called non-singular) if there exists another matrix, called its inverse, such that A-1 A=A A-1=I, where I is the identity matrix of the same order.

The key condition for a matrix to be invertible is that its determinant must not be zero, i.e., {det}(A) not equal to 0.

If {det}(A)=0, the matrix is called singular and does not have an inverse.
Invertible matrices are essential in solving systems of linear equations, finding matrix equations, and various applications in linear algebra.

3. What are the properties of matrix multiplication?

Properties of Matrix Multiplication
Matrix multiplication has unique properties different from regular multiplication:
1. Associative Property: (A B) C=A(B C), when the order is compatible.
2. Distributive Property: A(B+C)=A B+A C and (A+B) C=A C+B C.
3. Non-Commutative: In general, AB is not equal to BA, even if both products are defined.
4. Multiplicative Identity: AI=IA=A, where I is the identity matrix of suitable order.
5. Zero Product Property Doesn't Hold: AB=0 does not imply A=0 or B=0.
6. Compatibility: Matrix multiplication is only defined when the number of columns in the first matrix equals the number of rows in the second.

4. What are the properties of matrix addition?

Properties of Matrix Addition
Matrix addition has several important properties, similar to regular number addition:
1. Commutative Property: A+B=B+A, if A and B are of the same order.
2. Associative Property: (A+B)+C=A+(B+C), for matrices of the same order.
3. Additive Identity: There exists a zero matrix O such that A+O=A.
4. Additive Inverse: For every matrix A, there exists a matrix -A such that A+(-A)=O.
5. Closure Property: The sum of two matrices of the same order is also a matrix of the same order.

5. What are the different types of matrices?

Matrices come in various types based on their elements and structure. A row matrix has only one row, while a column matrix has only one column. A square matrix has the same number of rows and columns. A diagonal matrix has non-zero elements only on its main diagonal, and if all diagonal elements are 1, it's called an identity matrix. A zero matrix has all elements as zero. A symmetric matrix is equal to its transpose, while a skew-symmetric matrix has its transpose equal to its negative. Matrices are also classified as upper or lower triangular based on zero entries.

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Changing from the CBSE board to the Odisha CHSE in Class 12 is generally difficult and often not ideal due to differences in syllabi and examination structures. Most boards, including Odisha CHSE , do not recommend switching in the final year of schooling. It is crucial to consult both CBSE and Odisha CHSE authorities for specific policies, but making such a change earlier is advisable to prevent academic complications.

Hello there! Thanks for reaching out to us at Careers360.

Ah, you're looking for CBSE quarterly question papers for mathematics, right? Those can be super helpful for exam prep.

Unfortunately, CBSE doesn't officially release quarterly papers - they mainly put out sample papers and previous years' board exam papers. But don't worry, there are still some good options to help you practice!

Have you checked out the CBSE sample papers on their official website? Those are usually pretty close to the actual exam format. You could also look into previous years' board exam papers - they're great for getting a feel for the types of questions that might come up.

If you're after more practice material, some textbook publishers release their own mock papers which can be useful too.

Let me know if you need any other tips for your math prep. Good luck with your studies!

It's understandable to feel disheartened after facing a compartment exam, especially when you've invested significant effort. However, it's important to remember that setbacks are a part of life, and they can be opportunities for growth.

Possible steps:

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  2. Consider Professional Help:

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    • Retake the Exam: If you're confident in your ability to improve, consider retaking the chemistry compartment exam.
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Remember: This is a temporary setback. With the right approach and perseverance, you can overcome this challenge and achieve your goals.

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Hi,

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hello mahima,

If you have uploaded screenshot of your 12th board result taken from CBSE official website,there won,t be a problem with that.If the screenshot that you have uploaded is clear and legible. It should display your name, roll number, marks obtained, and any other relevant details in a readable forma.ALSO, the screenshot clearly show it is from the official CBSE results portal.

hope this helps.

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A block of mass 0.50 kg is moving with a speed of 2.00 ms-1 on a smooth surface. It strikes another mass of 1.00 kg and then they move together as a single body. The energy loss during the collision is

Option 1)

0.34\; J

Option 2)

0.16\; J

Option 3)

1.00\; J

Option 4)

0.67\; J

A person trying to lose weight by burning fat lifts a mass of 10 kg upto a height of 1 m 1000 times.  Assume that the potential energy lost each time he lowers the mass is dissipated.  How much fat will he use up considering the work done only when the weight is lifted up ?  Fat supplies 3.8×107 J of energy per kg which is converted to mechanical energy with a 20% efficiency rate.  Take g = 9.8 ms−2 :

Option 1)

2.45×10−3 kg

Option 2)

 6.45×10−3 kg

Option 3)

 9.89×10−3 kg

Option 4)

12.89×10−3 kg

 

An athlete in the olympic games covers a distance of 100 m in 10 s. His kinetic energy can be estimated to be in the range

Option 1)

2,000 \; J - 5,000\; J

Option 2)

200 \, \, J - 500 \, \, J

Option 3)

2\times 10^{5}J-3\times 10^{5}J

Option 4)

20,000 \, \, J - 50,000 \, \, J

A particle is projected at 600   to the horizontal with a kinetic energy K. The kinetic energy at the highest point

Option 1)

K/2\,

Option 2)

\; K\;

Option 3)

zero\;

Option 4)

K/4

In the reaction,

2Al_{(s)}+6HCL_{(aq)}\rightarrow 2Al^{3+}\, _{(aq)}+6Cl^{-}\, _{(aq)}+3H_{2(g)}

Option 1)

11.2\, L\, H_{2(g)}  at STP  is produced for every mole HCL_{(aq)}  consumed

Option 2)

6L\, HCl_{(aq)}  is consumed for ever 3L\, H_{2(g)}      produced

Option 3)

33.6 L\, H_{2(g)} is produced regardless of temperature and pressure for every mole Al that reacts

Option 4)

67.2\, L\, H_{2(g)} at STP is produced for every mole Al that reacts .

How many moles of magnesium phosphate, Mg_{3}(PO_{4})_{2} will contain 0.25 mole of oxygen atoms?

Option 1)

0.02

Option 2)

3.125 × 10-2

Option 3)

1.25 × 10-2

Option 4)

2.5 × 10-2

If we consider that 1/6, in place of 1/12, mass of carbon atom is taken to be the relative atomic mass unit, the mass of one mole of a substance will

Option 1)

decrease twice

Option 2)

increase two fold

Option 3)

remain unchanged

Option 4)

be a function of the molecular mass of the substance.

With increase of temperature, which of these changes?

Option 1)

Molality

Option 2)

Weight fraction of solute

Option 3)

Fraction of solute present in water

Option 4)

Mole fraction.

Number of atoms in 558.5 gram Fe (at. wt.of Fe = 55.85 g mol-1) is

Option 1)

twice that in 60 g carbon

Option 2)

6.023 × 1022

Option 3)

half that in 8 g He

Option 4)

558.5 × 6.023 × 1023

A pulley of radius 2 m is rotated about its axis by a force F = (20t - 5t2) newton (where t is measured in seconds) applied tangentially. If the moment of inertia of the pulley about its axis of rotation is 10 kg m2 , the number of rotations made by the pulley before its direction of motion if reversed, is

Option 1)

less than 3

Option 2)

more than 3 but less than 6

Option 3)

more than 6 but less than 9

Option 4)

more than 9

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