Rbse Solutions Class 12 Maths: Exercise 3.3

This exercise focuses on the properties of the Transpose of a Matrix ($A’$ or $A^T$), and the definition and application of Symmetric and Skew Symmetric Matrices.

Rbse Solutions Class 12 Maths: Exercise 3.3

Question 1. Find the transpose of each of the following matrices:

(i) $A = \begin{bmatrix} 5 \\ 1/2 \\ -1 \end{bmatrix}$ (ii) $B = \begin{bmatrix} 1 & -1 \\ 2 & 3 \end{bmatrix}$ (iii) $C = \begin{bmatrix} -1 & 5 & 6 \\ \sqrt{3} & 5 & 6 \\ 2 & 3 & 1 \end{bmatrix}$

Solution:

The transpose is found by interchanging rows and columns ($A’ = [a_{ji}]$).

(i) $A’ = \begin{bmatrix} 5 & 1/2 & -1 \end{bmatrix}$

(ii) $B’ = \begin{bmatrix} 1 & 2 \\ -1 & 3 \end{bmatrix}$

(iii) $C’ = \begin{bmatrix} -1 & \sqrt{3} & 2 \\ 5 & 5 & 3 \\ 6 & 6 & 1 \end{bmatrix}$


Question 2.

If $A = \begin{bmatrix} -1 & 2 & 3 \\ 5 & 7 & 9 \\ -2 & 1 & 1 \end{bmatrix}$ and $B = \begin{bmatrix} -4 & 1 & -5 \\ 1 & 2 & 0 \\ 1 & 3 & 1 \end{bmatrix}$, verify that:

(i) $(A + B)’ = A’ + B’$ (ii) $(A – B)’ = A’ – B’$

Solution:

First, find the transposes $A’$ and $B’$:

$$A’ = \begin{bmatrix} -1 & 5 & -2 \\ 2 & 7 & 1 \\ 3 & 9 & 1 \end{bmatrix}, \quad B’ = \begin{bmatrix} -4 & 1 & 1 \\ 1 & 2 & 3 \\ -5 & 0 & 1 \end{bmatrix}$$

(i) Verify $(A + B)’ = A’ + B’$ (Transpose of sum is sum of transposes)

  • LHS: $(A + B)’$$$A+B = \begin{bmatrix} -5 & 3 & -2 \\ 6 & 9 & 9 \\ -1 & 4 & 2 \end{bmatrix} \implies (A+B)’ = \begin{bmatrix} -5 & 6 & -1 \\ 3 & 9 & 4 \\ -2 & 9 & 2 \end{bmatrix}$$
  • RHS: $A’ + B’$$$A’ + B’ = \begin{bmatrix} -1-4 & 5+1 & -2+1 \\ 2+1 & 7+2 & 1+3 \\ 3-5 & 9+0 & 1+1 \end{bmatrix} = \begin{bmatrix} -5 & 6 & -1 \\ 3 & 9 & 4 \\ -2 & 9 & 2 \end{bmatrix}$$Since LHS = RHS, the property is verified.

(ii) Verify $(A – B)’ = A’ – B’$

  • LHS: $(A – B)’$$$A-B = \begin{bmatrix} -1-(-4) & 2-1 & 3-(-5) \\ 5-1 & 7-2 & 9-0 \\ -2-1 & 1-3 & 1-1 \end{bmatrix} = \begin{bmatrix} 3 & 1 & 8 \\ 4 & 5 & 9 \\ -3 & -2 & 0 \end{bmatrix}$$$$(A-B)’ = \begin{bmatrix} 3 & 4 & -3 \\ 1 & 5 & -2 \\ 8 & 9 & 0 \end{bmatrix}$$
  • RHS: $A’ – B’$$$A’ – B’ = \begin{bmatrix} -1-(-4) & 5-1 & -2-1 \\ 2-1 & 7-2 & 1-3 \\ 3-(-5) & 9-0 & 1-1 \end{bmatrix} = \begin{bmatrix} 3 & 4 & -3 \\ 1 & 5 & -2 \\ 8 & 9 & 0 \end{bmatrix}$$Since LHS = RHS, the property is verified.

Question 3.

If $A’ = \begin{bmatrix} 3 & 4 \\ -1 & 2 \\ 0 & 1 \end{bmatrix}$ and $B = \begin{bmatrix} -1 & 2 & 1 \\ 1 & 2 & 3 \end{bmatrix}$, verify that:

(i) $(A + B)’ = A’ + B’$ (ii) $(A – B)’ = A’ – B’$

Solution:

First, find $A$ and $B’$:

$$A = (A’)’ = \begin{bmatrix} 3 & -1 & 0 \\ 4 & 2 & 1 \end{bmatrix}, \quad B’ = \begin{bmatrix} -1 & 1 \\ 2 & 2 \\ 1 & 3 \end{bmatrix}$$

(i) Verify $(A + B)’ = A’ + B’$

  • LHS: $(A + B)’$$$A+B = \begin{bmatrix} 3-1 & -1+2 & 0+1 \\ 4+1 & 2+2 & 1+3 \end{bmatrix} = \begin{bmatrix} 2 & 1 & 1 \\ 5 & 4 & 4 \end{bmatrix}$$$$(A+B)’ = \begin{bmatrix} 2 & 5 \\ 1 & 4 \\ 1 & 4 \end{bmatrix}$$
  • RHS: $A’ + B’$$$A’ + B’ = \begin{bmatrix} 3-1 & 4+1 \\ -1+2 & 2+2 \\ 0+1 & 1+3 \end{bmatrix} = \begin{bmatrix} 2 & 5 \\ 1 & 4 \\ 1 & 4 \end{bmatrix}$$Since LHS = RHS, the property is verified.

(ii) Verify $(A – B)’ = A’ – B’$

  • LHS: $(A – B)’$$$A-B = \begin{bmatrix} 3-(-1) & -1-2 & 0-1 \\ 4-1 & 2-2 & 1-3 \end{bmatrix} = \begin{bmatrix} 4 & -3 & -1 \\ 3 & 0 & -2 \end{bmatrix}$$$$(A-B)’ = \begin{bmatrix} 4 & 3 \\ -3 & 0 \\ -1 & -2 \end{bmatrix}$$
  • RHS: $A’ – B’$$$A’ – B’ = \begin{bmatrix} 3-(-1) & 4-1 \\ -1-2 & 2-2 \\ 0-1 & 1-3 \end{bmatrix} = \begin{bmatrix} 4 & 3 \\ -3 & 0 \\ -1 & -2 \end{bmatrix}$$Since LHS = RHS, the property is verified.

Question 4.

If $A’ = \begin{bmatrix} -2 & 3 \\ 1 & 2 \end{bmatrix}$ and $B = \begin{bmatrix} -1 & 0 \\ 1 & 2 \end{bmatrix}$, then find $(A + 2B)’$.

Solution:

  1. Find $A$ from $A’$:$$A = (A’)’ = \begin{bmatrix} -2 & 1 \\ 3 & 2 \end{bmatrix}$$
  2. Calculate $2B$:$$2B = 2 \begin{bmatrix} -1 & 0 \\ 1 & 2 \end{bmatrix} = \begin{bmatrix} -2 & 0 \\ 2 & 4 \end{bmatrix}$$
  3. Calculate $A + 2B$:$$A + 2B = \begin{bmatrix} -2 & 1 \\ 3 & 2 \end{bmatrix} + \begin{bmatrix} -2 & 0 \\ 2 & 4 \end{bmatrix} = \begin{bmatrix} -2-2 & 1+0 \\ 3+2 & 2+4 \end{bmatrix} = \begin{bmatrix} -4 & 1 \\ 5 & 6 \end{bmatrix}$$
  4. Find the transpose $(A + 2B)’$:$$(A + 2B)’ = \begin{bmatrix} -4 & 5 \\ 1 & 6 \end{bmatrix}$$

Question 5.

For the matrices $A$ and $B$, verify that $(AB)’ = B’A’$, where:

(i) $A = \begin{bmatrix} 1 \\ -4 \\ 3 \end{bmatrix}$, $B = \begin{bmatrix} -1 & 2 & 1 \end{bmatrix}$

Solution (i):

  • LHS: $(AB)’$$$AB = \begin{bmatrix} 1 \\ -4 \\ 3 \end{bmatrix} \begin{bmatrix} -1 & 2 & 1 \end{bmatrix} = \begin{bmatrix} 1(-1) & 1(2) & 1(1) \\ -4(-1) & -4(2) & -4(1) \\ 3(-1) & 3(2) & 3(1) \end{bmatrix} = \begin{bmatrix} -1 & 2 & 1 \\ 4 & -8 & -4 \\ -3 & 6 & 3 \end{bmatrix}$$$$(AB)’ = \begin{bmatrix} -1 & 4 & -3 \\ 2 & -8 & 6 \\ 1 & -4 & 3 \end{bmatrix}$$
  • RHS: $B’A’$$$A’ = \begin{bmatrix} 1 & -4 & 3 \end{bmatrix}, \quad B’ = \begin{bmatrix} -1 \\ 2 \\ 1 \end{bmatrix}$$$$B’A’ = \begin{bmatrix} -1 \\ 2 \\ 1 \end{bmatrix} \begin{bmatrix} 1 & -4 & 3 \end{bmatrix} = \begin{bmatrix} -1(1) & -1(-4) & -1(3) \\ 2(1) & 2(-4) & 2(3) \\ 1(1) & 1(-4) & 1(3) \end{bmatrix} = \begin{bmatrix} -1 & 4 & -3 \\ 2 & -8 & 6 \\ 1 & -4 & 3 \end{bmatrix}$$Since LHS = RHS, the property $(AB)’ = B’A’$ is verified.

(ii) $A = \begin{bmatrix} 0 \\ 1 \\ 2 \end{bmatrix}$, $B = \begin{bmatrix} 1 & 5 & 7 \end{bmatrix}$

Solution (ii):

  • LHS: $(AB)’$$$AB = \begin{bmatrix} 0 \\ 1 \\ 2 \end{bmatrix} \begin{bmatrix} 1 & 5 & 7 \end{bmatrix} = \begin{bmatrix} 0 & 0 & 0 \\ 1 & 5 & 7 \\ 2 & 10 & 14 \end{bmatrix}$$$$(AB)’ = \begin{bmatrix} 0 & 1 & 2 \\ 0 & 5 & 10 \\ 0 & 7 & 14 \end{bmatrix}$$
  • RHS: $B’A’$$$A’ = \begin{bmatrix} 0 & 1 & 2 \end{bmatrix}, \quad B’ = \begin{bmatrix} 1 \\ 5 \\ 7 \end{bmatrix}$$$$B’A’ = \begin{bmatrix} 1 \\ 5 \\ 7 \end{bmatrix} \begin{bmatrix} 0 & 1 & 2 \end{bmatrix} = \begin{bmatrix} 1(0) & 1(1) & 1(2) \\ 5(0) & 5(1) & 5(2) \\ 7(0) & 7(1) & 7(2) \end{bmatrix} = \begin{bmatrix} 0 & 1 & 2 \\ 0 & 5 & 10 \\ 0 & 7 & 14 \end{bmatrix}$$Since LHS = RHS, the property $(AB)’ = B’A’$ is verified.

Question 6.

If:

(i) $A = \begin{bmatrix} \cos \alpha & \sin \alpha \\ -\sin \alpha & \cos \alpha \end{bmatrix}$, then verify that $A’A = I$.

(ii) $A = \begin{bmatrix} \sin \alpha & \cos \alpha \\ -\cos \alpha & \sin \alpha \end{bmatrix}$, then verify that $A’A = I$.

Solution:

(i) Verify $A’A = I$

$$A’ = \begin{bmatrix} \cos \alpha & -\sin \alpha \\ \sin \alpha & \cos \alpha \end{bmatrix}$$

$$A’A = \begin{bmatrix} \cos \alpha & -\sin \alpha \\ \sin \alpha & \cos \alpha \end{bmatrix} \begin{bmatrix} \cos \alpha & \sin \alpha \\ -\sin \alpha & \cos \alpha \end{bmatrix} = \begin{bmatrix} \cos^2 \alpha + \sin^2 \alpha & \cos \alpha \sin \alpha – \sin \alpha \cos \alpha \\ \sin \alpha \cos \alpha – \cos \alpha \sin \alpha & \sin^2 \alpha + \cos^2 \alpha \end{bmatrix}$$

Using $\cos^2 \alpha + \sin^2 \alpha = 1$:

$$A’A = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = I$$

The property is verified.

(ii) Verify $A’A = I$

$$A’ = \begin{bmatrix} \sin \alpha & -\cos \alpha \\ \cos \alpha & \sin \alpha \end{bmatrix}$$

$$A’A = \begin{bmatrix} \sin \alpha & -\cos \alpha \\ \cos \alpha & \sin \alpha \end{bmatrix} \begin{bmatrix} \sin \alpha & \cos \alpha \\ -\cos \alpha & \sin \alpha \end{bmatrix} = \begin{bmatrix} \sin^2 \alpha + \cos^2 \alpha & \sin \alpha \cos \alpha – \cos \alpha \sin \alpha \\ \cos \alpha \sin \alpha – \sin \alpha \cos \alpha & \cos^2 \alpha + \sin^2 \alpha \end{bmatrix}$$

Using $\sin^2 \alpha + \cos^2 \alpha = 1$:

$$A’A = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = I$$

The property is verified. (This type of matrix is known as an Orthogonal Matrix).


Question 7.

(i) Show that the matrix $A = \begin{bmatrix} 1 & -1 & 5 \\ -1 & 2 & 1 \\ 5 & 1 & 3 \end{bmatrix}$ is a symmetric matrix.

(ii) Show that the matrix $A = \begin{bmatrix} 0 & 1 & -1 \\ -1 & 0 & 1 \\ 1 & -1 & 0 \end{bmatrix}$ is a skew symmetric matrix.

Solution:

(i) Symmetric Matrix ($A’ = A$):

$$A’ = \begin{bmatrix} 1 & -1 & 5 \\ -1 & 2 & 1 \\ 5 & 1 & 3 \end{bmatrix}$$

Since $A’ = A$, the matrix $A$ is symmetric.

(ii) Skew Symmetric Matrix ($A’ = -A$):

$$A’ = \begin{bmatrix} 0 & -1 & 1 \\ 1 & 0 & -1 \\ -1 & 1 & 0 \end{bmatrix}$$

Now calculate $-A$:

$$-A = -\begin{bmatrix} 0 & 1 & -1 \\ -1 & 0 & 1 \\ 1 & -1 & 0 \end{bmatrix} = \begin{bmatrix} 0 & -1 & 1 \\ 1 & 0 & -1 \\ -1 & 1 & 0 \end{bmatrix}$$

Since $A’ = -A$, the matrix $A$ is skew symmetric. (Note that the main diagonal elements are all zero, which is a condition for skew symmetric matrices).


Question 8.

For the matrix $A = \begin{bmatrix} 1 & 5 \\ 6 & 7 \end{bmatrix}$, verify that:

(i) $(A + A’)$ is a symmetric matrix.

(ii) $(A – A’)$ is a skew symmetric matrix.

Solution:

First find $A’$:

$$A’ = \begin{bmatrix} 1 & 6 \\ 5 & 7 \end{bmatrix}$$

(i) $P = A + A’$ (Symmetric check: $P’ = P$)

$$P = A + A’ = \begin{bmatrix} 1+1 & 5+6 \\ 6+5 & 7+7 \end{bmatrix} = \begin{bmatrix} 2 & 11 \\ 11 & 14 \end{bmatrix}$$

$$P’ = \begin{bmatrix} 2 & 11 \\ 11 & 14 \end{bmatrix}$$

Since $P’ = P$, $(A + A’)$ is a symmetric matrix.

(ii) $Q = A – A’$ (Skew Symmetric check: $Q’ = -Q$)

$$Q = A – A’ = \begin{bmatrix} 1-1 & 5-6 \\ 6-5 & 7-7 \end{bmatrix} = \begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix}$$

$$Q’ = \begin{bmatrix} 0 & 1 \\ -1 & 0 \end{bmatrix}$$

$$-Q = -\begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix} = \begin{bmatrix} 0 & 1 \\ -1 & 0 \end{bmatrix}$$

Since $Q’ = -Q$, $(A – A’)$ is a skew symmetric matrix.


Question 9.

Find $\frac{1}{2}(A + A’)$ and $\frac{1}{2}(A – A’)$, when $A = \begin{bmatrix} 0 & a & b \\ -a & 0 & c \\ -b & -c & 0 \end{bmatrix}$.

Solution:

First find $A’$:

$$A’ = \begin{bmatrix} 0 & -a & -b \\ a & 0 & -c \\ b & c & 0 \end{bmatrix}$$

  1. Calculate $A + A’$:$$A+A’ = \begin{bmatrix} 0+0 & a-a & b-b \\ -a+a & 0+0 & c-c \\ -b+b & -c+c & 0+0 \end{bmatrix} = \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix}$$$$\frac{1}{2}(A + A’) = \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix}$$The sum of a skew symmetric matrix and its transpose is always the zero matrix.
  2. Calculate $A – A’$:$$A-A’ = \begin{bmatrix} 0-0 & a-(-a) & b-(-b) \\ -a-a & 0-0 & c-(-c) \\ -b-b & -c-c & 0-0 \end{bmatrix} = \begin{bmatrix} 0 & 2a & 2b \\ -2a & 0 & 2c \\ -2b & -2c & 0 \end{bmatrix}$$$$\frac{1}{2}(A – A’) = \begin{bmatrix} 0 & a & b \\ -a & 0 & c \\ -b & -c & 0 \end{bmatrix}$$This result is simply the matrix A itself, which is expected since A is already skew symmetric.

Question 10.

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

(i) $A = \begin{bmatrix} 3 & 5 \\ 1 & -1 \end{bmatrix}$ (iv) $A = \begin{bmatrix} 1 & 5 \\ -1 & 2 \end{bmatrix}$

Note: Questions (ii) and (iii) are similar and omitted for brevity, but the method is identical.

Solution:

A matrix $A$ can be uniquely expressed as $A = P + Q$, where $P = \frac{1}{2}(A + A’)$ (Symmetric) and $Q = \frac{1}{2}(A – A’)$ (Skew Symmetric).

(i) $A = \begin{bmatrix} 3 & 5 \\ 1 & -1 \end{bmatrix}$

$$A’ = \begin{bmatrix} 3 & 1 \\ 5 & -1 \end{bmatrix}$$

  1. Symmetric part $P = \frac{1}{2}(A + A’)$:$$A+A’ = \begin{bmatrix} 6 & 6 \\ 6 & -2 \end{bmatrix} \implies P = \begin{bmatrix} 3 & 3 \\ 3 & -1 \end{bmatrix}$$
  2. Skew Symmetric part $Q = \frac{1}{2}(A – A’)$:$$A-A’ = \begin{bmatrix} 0 & 4 \\ -4 & 0 \end{bmatrix} \implies Q = \begin{bmatrix} 0 & 2 \\ -2 & 0 \end{bmatrix}$$$$\text{Sum: } \mathbf{\begin{bmatrix} 3 & 3 \\ 3 & -1 \end{bmatrix} + \begin{bmatrix} 0 & 2 \\ -2 & 0 \end{bmatrix} = \begin{bmatrix} 3 & 5 \\ 1 & -1 \end{bmatrix}}$$

(iv) $A = \begin{bmatrix} 1 & 5 \\ -1 & 2 \end{bmatrix}$

$$A’ = \begin{bmatrix} 1 & -1 \\ 5 & 2 \end{bmatrix}$$

  1. Symmetric part $P = \frac{1}{2}(A + A’)$:$$A+A’ = \begin{bmatrix} 2 & 4 \\ 4 & 4 \end{bmatrix} \implies P = \begin{bmatrix} 1 & 2 \\ 2 & 2 \end{bmatrix}$$
  2. Skew Symmetric part $Q = \frac{1}{2}(A – A’)$:$$A-A’ = \begin{bmatrix} 0 & 6 \\ -6 & 0 \end{bmatrix} \implies Q = \begin{bmatrix} 0 & 3 \\ -3 & 0 \end{bmatrix}$$$$\text{Sum: } \mathbf{\begin{bmatrix} 1 & 2 \\ 2 & 2 \end{bmatrix} + \begin{bmatrix} 0 & 3 \\ -3 & 0 \end{bmatrix} = \begin{bmatrix} 1 & 5 \\ -1 & 2 \end{bmatrix}}$$

Question 11.

If $A, B$ are symmetric matrices of same order, then $AB – BA$ is a:

(A) Skew symmetric matrix (B) Symmetric matrix (C) Zero matrix (D) Identity matrix

Solution:

Given: $A’ = A$ and $B’ = B$.

We need to check the nature of $P = AB – BA$.

$$P’ = (AB – BA)’$$

Using $(M – N)’ = M’ – N’$ and $(MN)’ = N’M’$:

$$P’ = (AB)’ – (BA)’ = B’A’ – A’B’$$

Substitute $A’ = A$ and $B’ = B$:

$$P’ = BA – AB$$

$$P’ = -(AB – BA) = -P$$

Since $P’ = -P$, $AB – BA$ is a skew symmetric matrix.

$$\text{The correct option is } \mathbf{(A)}$$


Question 12.

If $A = \begin{bmatrix} \cos \alpha & -\sin \alpha \\ \sin \alpha & \cos \alpha \end{bmatrix}$, and $A + A’ = I$, then the value of $\alpha$ is:

(A) $\pi/6$ (B) $\pi/3$ (C) $\pi$ (D) $3\pi/2$

Solution:

  1. Find $A + A’$:$$A’ = \begin{bmatrix} \cos \alpha & \sin \alpha \\ -\sin \alpha & \cos \alpha \end{bmatrix}$$$$A + A’ = \begin{bmatrix} \cos \alpha + \cos \alpha & -\sin \alpha + \sin \alpha \\ \sin \alpha – \sin \alpha & \cos \alpha + \cos \alpha \end{bmatrix} = \begin{bmatrix} 2 \cos \alpha & 0 \\ 0 & 2 \cos \alpha \end{bmatrix}$$
  2. Equate to $I$:Given $A + A’ = I = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$.$$\begin{bmatrix} 2 \cos \alpha & 0 \\ 0 & 2 \cos \alpha \end{bmatrix} = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$$
  3. Solve for $\alpha$:$2 \cos \alpha = 1 \implies \cos \alpha = 1/2$The principal value for which $\cos \alpha = 1/2$ is $\alpha = \pi/3$.

$$\text{The correct option is } \mathbf{(B)}$$

FAQs

Q1. What is the fundamental property of the transpose of a matrix product?

The fundamental property for the transpose of a matrix product is the Reversal Law or Sock-Shoe Property:

$$(AB)’ = B’A’$$

This means the transpose of the product of two matrices is the product of their transposes in reverse order. This property is crucial for verifying matrix identities (Question 5).

Q2. How do you determine if a matrix is Symmetric or Skew Symmetric?

A matrix $A$ is Symmetric if its transpose equals the matrix itself: $A’ = A$. The elements satisfy $a_{ij} = a_{ji}$.
A matrix $A$ is Skew Symmetric if its transpose equals the negative of the matrix: $A’ = -A$. The elements satisfy $a_{ij} = -a_{ji}$, which implies the diagonal elements ($a_{ii}$) must all be zero.

Scroll to Top