Q1. (i)

Matrix A=[512−1]

This is a column matrix (3×1).


Transpose:

To find A′(or AT), we interchange rows and columns.

So,

A′=[ 512−1 ]

Answer:

A′=[ 512−1 ]

(This is now a row matrix (1×3).)

 

Q1- (ii).

Matrix B=[1−123]

This is a 2×2 matrix.

Transpose:

We swap rows with columns:

B′=[12−13]

Answer:

B′=[12−13]

 

Q1 (iii)

Matrix

A=[−15635623−1]

This is a 3×3 matrix (3 rows, 3 columns).


To find: A′ (the transpose)

To find the transpose, we interchange rows and columns — that is, the first row becomes the first column, the second row becomes the second column, and so on.


Step-by-step:

Row Becomes Column
Row 1 = (−1,  5,  6) Column 1 = [−156]
Row 2 = (3,  5,  6)

Column 2 = [356]

Row 3 = (2,  3,  −1) Column 3 = [23−1]

Transpose:

A′=[−13255366−1]

 

A′=[ 512−1 ]

(This is now a row matrix (1×3).)

 

Question 2.

Given:

A=[−123579−211],B=[−41−5120131]

We have to verify:

1️⃣ (A+B)′=A′+B′

2️⃣ (A−B)′=A′−B′


Step 1: Find A + B

Add corresponding elements:

A+B=[(−1)+(−4)2+13+(−5)5+17+29+0(−2)+11+31+1]=[−53−2699−142]


Now find (A + B)′

Take the transpose — interchange rows and columns:

(A+B)′=[−56−1394−292]


Step 2: Find A′ and B′ separately

Transpose of A:

A′=[−15−2271391]

Transpose of B:

B′=[−411123−501]


Step 3: Find A′ + B′

A′+B′=[(−1)+(−4)5+1(−2)+12+17+21+33+(−5)9+01+1]=[−56−1394−292]

This is exactly equal to (A+B)′.

Hence,

(A+B)′=A′+B′

Step 4: Now find A – B

Subtract corresponding elements:

A−B=[(−1)−(−4)2−13−(−5)5−17−29−0(−2)−11−31−1]=[318459−3−20]


Now find (A – B)′

(A−B)′=[34−315−2890]

Step 5: Find A′ – B′

A′−B′=[(−1)−(−4)5−1(−2)−12−17−21−33−(−5)9−01−1]=[34−315−2890]

This is exactly equal to (A−B)′.

Hence,

(A−B)′=A′−B′

 

Question 3.

Given

A′=[34−1201]


B=[−121123]

, then verify that

(i) (A + B)′ = A′ + B′ 

(ii) (A – B)′ = A′ – B′

 Determine A from A′

Remember: A′ is the transpose of A.
So to get A, we transpose A′ again.

A=(A′)′=[3−10421]

Hence

A=[3−10421],B=[−121123]

Compute A+B

Add corresponding elements:

A+B=[3+(−1)−1+20+14+12+21+3]=[211544]

 Compute (A+B)′

Transpose the above matrix:

(A+B)′=[251414]

 Compute A′+B′

We already know:

A′=[34−1201],B′=[−112213]

Now add elementwise:

A′+B′=[3+(−1)4+1−1+22+20+11+3]=[251414]

Therefore

(A+B)′=A′+B′

 Compute A−B

A−B=[3−(−1)−1−20−14−12−21−3]=[4−3−130−2] Compute (A−B)′

(A−B)′=[43−30−1−2]

 Compute A′−B′

A′−B′=[3−(−1)4−1−1−22−20−11−3]=[43−30−1−2]

Therefore

(A−B)′=A′−B′

Question 4.

Given:

A′=[−2312],B=[−1012]

We need to find

(A+2B)′

 Find A from A′

Since A′=[−2312],

Transpose it to get A:

A=(A′)′=[−2132]

 Compute 2B

Multiply each element of B by 2:

2B=[2×(−1)2×02×12×2]=[−2024]

 Compute A+2B

A+2B=[−2132]+[−2024]=[−4156]

 Find (A+2B)′

Take the transpose:

(A+2B)′=[−4516]

Question 5.

For the matrices A and B, verify that (AB)′ = B′A′, where

Concept Recap

For any conformable matrices A and B:

(AB)′=B′A′

That is, the transpose of a product = product of transposes in reverse order.

Now, let’s check numerically.


(i)

A=[1−43],B=[−121]


Step 1️⃣: Compute AB

Since A is 3×1 and B is 1×3,
AB will be a 3×3 matrix.

AB=[1−43][−121]=[1(−1)1(2)1(1)−4(−1)−4(2)−4(1)3(−1)3(2)3(1)]=[−1214−8−4−363]

 Find (AB)′

Transpose means interchange rows and columns:

(AB)′=[−14−32−861−43]

 Compute B′A′

Now find B′ and A′.

B′=[−121],A′=[1−43]

Multiply B′ (3×1) with A′ (1×3):

B′A′=[−121][1−43]=[(−1)(1)(−1)(−4)(−1)(3)(2)(1)(2)(−4)(2)(3)(1)(1)(1)(−4)(1)(3)]

=[−14−32−861−43]

Hence,

(AB)′=B′A′


(ii)

A=[012],B=[157]

Compute AB

AB=[012][157]=[0(1)0(5)0(7)1(1)1(5)1(7)2(1)2(5)2(7)]=[00015721014]

 Find (AB)′

(AB)′=[01205100714]

Compute B′A′

B′=[157],A′=[012]

Multiply:

B′A′=[157][012]=[1(0)1(1)1(2)5(0)5(1)5(2)7(0)7(1)7(2)]=[01205100714]

Hence,

(AB)′=B′A′

 

Question 6.

verify that A′ A = I

(i)

A=[cos⁡αsin⁡α−sin⁡αcos⁡α]

 Find A′

A′=[cos⁡α−sin⁡αsin⁡αcos⁡α]

Compute A′A

A′A=[cos⁡α−sin⁡αsin⁡αcos⁡α][cos⁡αsin⁡α−sin⁡αcos⁡α]
A′A=[(cos⁡2α+sin⁡2α)(cos⁡αsin⁡α−sin⁡αcos⁡α)(sin⁡αcos⁡α−cos⁡αsin⁡α)(sin⁡2α+cos⁡2α)]=[1001]=I

Hence, A′A=I

(ii)

A=[sin⁡αcos⁡α−cos⁡αsin⁡α]

 Find A′

A′=[sin⁡α−cos⁡αcos⁡αsin⁡α]

 Compute A′A

A′A=[sin⁡α−cos⁡αcos⁡αsin⁡α][sin⁡αcos⁡α−cos⁡αsin⁡α]
A′A=[(sin⁡2α+cos⁡2α)(sin⁡αcos⁡α−cos⁡αsin⁡α)(cos⁡αsin⁡α−sin⁡αcos⁡α)(cos⁡2α+sin⁡2α)]=[1001]=I

Hence, A′A=I

Q7.

Recall:

  • A matrix A is symmetric if A′=A.

  • A matrix A is skew-symmetric if A′=−A. (Note diagonal entries of a skew-symmetric matrix must be 0.)


(i) Show A is symmetric

A=[1−15−121513]

Find the transpose A′ (swap rows and columns):

A′=[1−15−121513]

We see A′=A.
Therefore A is symmetric. 


(ii) Show A is skew-symmetric

A=[01−1−1011−10]

Compute the transpose:

A′=[0−1110−1−110]

Compute −A:

−A=[0−1110−1−110]

We have A′=−A. Also all diagonal entries are 0, as required.

Therefore A is skew-symmetric. 

 

Question 8.

(i) (A + A′) is a symmetric matrix

(ii) (A – A′) is a skew symmetric matrix

Given

A=[1567].

First find the transpose:

A′=[1657].


(i) A+A′

Compute:

A+A′=[1567]+[1657]=[2111114]

Take its transpose:

(A+A′)′=[2111114]Since (A+A′)′=A+A′, the matrix A+A′ is symmetric.


(ii) A−A′

Compute:

A−A′=[1567]−[1657]=[0−110]

Take its transpose:

(A−A′)′=[01−10]=−(A−A′)

Since (A−A′)′=−(A−A′), the matrix A−A′ is skew-symmetric.

 

Question 9. Find

12(A+A′)and12(A−A′)

We are given:

A=[0ab−a0c−b−c0]

 Find A′

Transpose means interchange rows and columns:

A′=[0−a−ba0−cbc0] Compute A+A′

Add corresponding entries of A and A′:

A+A′=[0+0a+(−a)b+(−b)(−a)+a0+0c+(−c)(−b)+b(−c)+c0+0]=[000000000]

 Compute A−A′

Subtract corresponding entries:

A−A′=[0−0a−(−a)b−(−b)(−a)−a0−0c−(−c)(−b)−b(−c)−c0−0]=[02a2b−2a02c−2b−2c0]

Multiply by ½

12(A+A′)=12[000000000]=[000000000]
12(A−A′)=12[02a2b−2a02c−2b−2c0]=[0ab−a0c−b−c0]

Final Answers

12(A+A′)=[000000000],12(A−A′)=[0ab−a0c−b−c0]

Question 10. Express the following matrices as the sum of a symmetric and a skew symmetric matrix:

we’ll write each matrix A as

A=12(A+A′)  +  12(A−A′),

where S=12(A+A′) is symmetric and K=12(A−A′) is skew-symmetric. I’ll give S and K for each part.


(i) A=[351−1]

A′=[315−1]
S=12(A+A′)=12[666−2]=[333−1]


K=12(A−A′)=12[04−40]=[02−20]

So A=S+K with S symmetric and K skew.


(ii) A=[6−22−23−12−13]

This matrix is already symmetric (check A′=A), so

S=12(A+A′)=A=[6−22−23−12−13],K=12(A−A′)=0=[000000000].


(iii) A=[33−1−2−21−4−52]

First compute A′=[3−2−43−2−5−112]

Then

S=12(A+A′)=12[61−51−4−4−5−44]=[312−5212−2−2−52−22],

which is symmetric, and

K=12(A−A′)=12[053−506−3−60]=[05232−5203−32−30],​​

which is skew-symmetric. (You can check S′=S and K′=−K)


(iv) A=[15−12]

A′=[1−152]
S=12(A+A′)=12[2444]=[1222],

K=12(A−A′)=12[06−60]=[03−30].

Question 11

Given:
A and B are symmetric matrices of the same order.
That means:

A′=AandB′=B

We need to find the nature of the matrix AB−BA

 Take transpose of AB−BA

(AB−BA)′=(AB)′−(BA)′=B′A′−A′B′

Since A′=A and B′=B,

(AB−BA)′=BA−AB=−(AB−BA)

 Interpretation

A matrix M is skew-symmetric if M′=−M.

Here we found (AB−BA)′=−(AB−BA) Therefore, AB−BA is a skew-symmetric matrix.

Correct Option: (A) Skew symmetric matrix


Question 12

Given:

A=[cos⁡α−sin⁡αsin⁡αcos⁡α],andA+A′=I

We must find the value of α

Compute A′

A′=[cos⁡αsin⁡α−sin⁡αcos⁡α]

 Compute A+A′

A+A′=[cos⁡α+cos⁡α−sin⁡α+sin⁡αsin⁡α−sin⁡αcos⁡α+cos⁡α]=[2cos⁡α002cos⁡α]

 Given A+A′=I

[2cos⁡α002cos⁡α]=[1001]

This gives:

2cos⁡α=1  ⟹  cos⁡α=12

 Solve for α

cos⁡α=12⇒α=π3

 Final Answers 
1️⃣ AB−BA → Skew-symmetric matrix
2️⃣ A+A′=I⇒α=π3

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