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⇱ Class 12 RD Sharma Solutions - Chapter 6 Determinants Exercise Ex. 6.6 | Set 1 - GeeksforGeeks


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Class 12 RD Sharma Solutions - Chapter 6 Determinants Exercise Ex. 6.6 | Set 1

Last Updated : 23 Jul, 2025

Determinants are a fundamental concept in linear algebra crucial for solving systems of linear equations finding the area of the geometric figures and more. In Class 12 mathematics, understanding determinants helps in the various applications and problem-solving techniques. Exercise 6.6 in RD Sharma's textbook provides a set of problems designed to enhance students' skills in evaluating the determinants and applying their properties.

Determinants

The Determinants are scalar values that can be computed from the elements of the square matrix. They are used to determine whether a system of linear equations has a unique solution. The determinant of the matrix provides key insights into its properties such as the invertibility and volume scaling factor of the linear transformation represented by the matrix.

Question 1. If A is a singular matrix, then find the value of |A|.

Solution:

Given that A is a singular matrix.

So, as we know if A is a n×n matrix and it is singular, the value of its determinant is always 0.

Thus, |A| = 0.

Question 2. For what value of x, the following matrix is singular?

Solution:

Given that 

As we know if A is a n×n matrix and it is singular, so, the value of its determinant is always 0.

=> |A| = 0

=> 

=> 4(5 - x) - 2(x + 1) = 0

=> 20 - 4x - 2x - 2 = 0

=> 18 - 6x = 0

=> 18 = 6x

=> x = 3

Therefore, the value of x is 3.

Question 3. Find the value of the determinant .

Solution:

Given that

A = 

|A| = 

So, on taking out x common from R2 we get,

|A| = 

As R1 = R2, we get

|A| = 0

Therefore, the value of the determinant is 0.

Question 4. State whether the matrix is singular or non-singular.

Solution:

Given that

A = 

|A| = 

|A| = 2 (4) - 6 (3)

= 8 - 18 

= -10

As we know if A is a n×n matrix and it is singular, so the value of its determinant is always 0.

As |A| = -10 here, the given matrix is non-singular.

Question 5. Find the value of the determinant .

Solution:

Given that

A = 

|A| = 

On applying C2 -> C2 - C1, we get

|A| = 

|A| = 

|A| = 4200 - 4202 

|A| = -2

Therefore, the value of determinant is -2.

Question 6. Find the value of the determinant .

Solution:

Given that

A = 

|A| = 

On applying C2 -> C2 - C1 and C3 -> C3 - C1, we get

|A| = 

|A| = 

On taking out 2 common from R3 we get,

|A| = 

As R2 = R3, we get

|A| = 0

Therefore, the value of the determinant is zero.  

Question 7. Find the value of the determinant .

Solution:

Given that

A = 

|A| = 

On applying C1 -> C1 + C3 we get,

= (a + b + c) (0)

= 0

Therefore, the value of determinant is 0.

Question 8. If A = and B = , find the value of |A| + |B|.

Solution:

Given that

A = 

|A| = 

= 0 - i2   

= - (-1)

= 1

Also, we have

B = 

|B| = 

= 0 - 1 

= -1

So,

|A| + |B| = 1 + (-1) 

= 1 - 1

= 0

Therefore, the value of |A| + |B| is 0.

Question 9. If A = and B = , find |AB|.

Solution:

We have,

A = and B = 

So, we get

AB = 

Now we have,

|AB| = 

= -1 (0) - 0 (4)

= 0 - 0 

= 0

Therefore, the value of |AB| is 0.

Question 10. Evaluate .

Solution:

Given that

A = 

|A| = 

On applying C2 -> C2 - C1 we get,

|A| = 

On taking out 2 common from R2 we get,

= 2 (4785 - 4789)

= 2 (-4)

= -8

Therefore, the value of the determinant is 0.

Question 11. If w is an imaginary cube root of unity, find the value of .

Solution:

Given that,

A = 

|A| = 

On applying C1 -> C1 + C_2 + C_3 we get,

= 0

Question 12. If A = and B = , find |AB|.

Solution:

Given that

A = 

|A| = -1 - 6 

= -7

B = 

|B| = - 2 + 12 

= 10  

We know if A and B are square matrices of the same order, then we have,

=> |AB| = |A|. |B|

= (-7) (10) 

= -70

Therefore, the value of |AB| is -70.

Question 13. If A = [aij]  is a 3 × 3 diagonal matrix such that a11 = 1, a22 = 2 a33 = 3, then find |A|.

Solution:

Given that  a11 = 1, a22 = 2 and a33 = 3.

If A is a diagonal matrix of order n x n, then we have

=> 

So, we get

|A| = 1 (2) (3)

= 6 

Therefore, the value of |A| is 6.

Question 14. If A = [aij] is a 3 × 3 scalar matrix such that a11 = 2, then find the value of |A|.

Solution:

Given that A = [aij] which is a 3 × 3 scalar matrix and a11 = 2,

As we know that a scalar matrix is a diagonal matrix, in which all the diagonal elements are equal to a given scalar number.

=> A = 

On expanding along C1, we get

= 2 (2) (2)

= 8

Therefore, the value of |A| is 8.

Question 15. If I3 denotes an identity matrix of order 3 × 3, find the value of its determinant.

Solution:

As we know that in an identity matrix, all the diagonal elements are 1 and the remaining elements are 0.

Here,

I3

On expanding along C1, we get

= 1

Therefore, the value of the determinant is 1.

Question 16. A matrix A of order 3 × 3 has determinant 5. What is the value of |3A|?

Solution:

Given that matrix A is of order 3 x 3 and the determinant = 5.

If A is a square matrix of order n and k is a constant, then we have

=> |kA| = kn |A|

Here,  

Number of rows = n  

Also, k is a common factor from each row of k.

Hence, we get

3A = 33 |A|

= 27 (5)

= 135

Therefore, the value of |3A| is 135.

Question 17. On expanding by the first row, the value of the determinant of 3 × 3 square matrix A = [aij] is a11 C11 + a12 C12 + a13 C13, where [Cij] is the cofactor of aij in A. Write the expression for its value on expanding by the second column.

Solution:

As we know that if a square matrix(let say  A) is of order n, then the sum of the products of elements of a row or a column with their cofactors is always equal to det (A). 

So, 

Also, 

On expanding along R1 we get,

|A| = a11 C11 + a12 C12 + a13 C13

Now,  

On expanding along C2 we get,

|A| = a12 C12 + a22 C22 + a32 C32

Question 18. On expanding by the first row, the value of the determinant of 3 × 3 square matrix A = [aij ] is a11 C11 + a12 C12 + a13 C13, where [Cij] is the cofactor of aij in A. Write the expression for its value on expanding by the second column.

Solution:

As we know that if a square matrix(let say  A) is of order n, then the sum of the products of elements of a row or a column with their cofactors is always equal to det (A). 

So, 

Also, 

On expanding along R1 we get,

|A| = a11 C11 + a12 C12 + a13 C13

Now,  

On expanding along C2 we get,

|A| = a12 C12 + a22 C22 + a32 C32 = 5

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