JEE Mathematics Matrices and Determinants MCQs Set 03

Find JEE Mathematics Matrices and Determinants MCQs Set 03 below. Practice the MCQ Questions for JEE Matrices and Determinants Mathematics with answers designed around official JEE, NCERT, and KVS styles. Look into more chapter-wise MCQs for JEE JEE Mathematics and grab additional latest study materials for all subjects.

Practice Matrices and Determinants MCQs for JEE Mathematics

Check out the 50 questions with answers for JEE Mathematics to build a strong grasp of every topic in Matrices and Determinants.

Matrices and Determinants Questions & Answers (JEE Mathematics)

Question. The system of equations 2x + y = 4, 3x + 2y = 2, x + y = 2 have
(a) no solution
(b) one solution
(c) two solutions
(d) infinitely many solutions
Answer: (a) no solution
Solution: 2x + y = 4
3x + 2y = 2
x + y = 2
\( D = \begin{vmatrix} 2 & 1 & 0 \\ 3 & 2 & 0 \\ 1 & 1 & 0 \end{vmatrix} = 0 \)
\( D_3 = \begin{vmatrix} 2 & 1 & 4 \\ 3 & 2 & 2 \\ 1 & 1 & 2 \end{vmatrix} \neq 0 \) Hence no solution

Question. Let A be a square matrix. Then which of the following is not a symmetric matrix
(a) A + A'
(b) A'A
(c) AA'
(d) A - A'
Answer: (d) A - A'
Solution: Given A is a square matrix,
So let \( A = \begin{bmatrix} a & b & c \\ d & e & f \\ g & h & i \end{bmatrix} \)
\( A' = \begin{bmatrix} a & d & g \\ b & e & h \\ c & f & i \end{bmatrix} \)
\( P = A + A' = \begin{bmatrix} 2a & b + d & c + g \\ d + b & 2e & f + h \\ g + c & f + h & 2i \end{bmatrix} \)
\( P^T = P \Rightarrow \text{symmetric} \)
Similarly A'A & AA' also come out to be symmetric
Now \( Q = A - A' = \begin{bmatrix} 0 & b - d & c - g \\ d - b & 0 & f - h \\ g - c & h - f & 0 \end{bmatrix} \)
\( Q^T = -Q \Rightarrow \text{Skew symmetric} \)

Question. If \( \begin{bmatrix} 1 & x & 1 \end{bmatrix} \begin{bmatrix} 1 & 3 & 2 \\ 0 & 5 & 1 \\ 0 & 3 & 2 \end{bmatrix} \begin{bmatrix} x \\ 1 \\ -2 \end{bmatrix} = [0] \) then x is
(a) -1/2
(b) 1/2
(c) 1
(d) -1
Answer: (b) 1/2
Solution: \( \begin{bmatrix} 1 & x & 1 \end{bmatrix} \begin{bmatrix} 1 & 3 & 2 \\ 0 & 5 & 1 \\ 0 & 3 & 2 \end{bmatrix} \begin{bmatrix} x \\ 1 \\ -2 \end{bmatrix} = [0] \)
\( \begin{bmatrix} 1 + 0 + 0 & 3 + 5x + 3 & 2 + x + 2 \end{bmatrix} \begin{bmatrix} x \\ 1 \\ -2 \end{bmatrix} = [0] \)
\( \begin{bmatrix} 1 & 5x + 6 & x + 4 \end{bmatrix} \begin{bmatrix} x \\ 1 \\ -2 \end{bmatrix} = [0] \)
\( [x + 5x + 6 - 2x - 8] = 0 \)
\( 4x - 2 = 0 \Rightarrow x = 1/2 \)

```html

Question. If A and B are two matrices such that AB = B and BA = A, then \( A^2 + B^2 \) equal to
(a) 2 AB
(b) 2BA
(c) A + B
(d) AB
Answer: (c) A + B
Solution: Given AB = B, BA = A
AB = B
Premultiply with 'B',
\( B(AB) = B^2 \Rightarrow (BA) B = B^2 \Rightarrow AB = B^2 \) ....(1)
Now, BA = A
Premultiply with 'A',
\( A(BA) = A^2 \Rightarrow (AB) A = A^2 \Rightarrow BA = A^2 \) ....(2)
(1) + (2)
\( AB + BA = B^2 + A^2 \)
\( B + A = B^2 + A^2 \)

Question. If \( A = \begin{bmatrix} 1 & -1 \\ 2 & 1 \end{bmatrix} \), \( B = \begin{bmatrix} a & 1 \\ b & -1 \end{bmatrix} \) and \( (A+B)^2 = A^2+B^2+2AB \), then the values of a and b are
(a) a = 1, b = -2
(b) a = 1, b = 2
(c) a = -1, b = 2
(d) a = -1, b = -2
Answer: (d) a = -1, b = -2
Solution: Given \( (A + B)^2 = A^2 + B^2 + 2AB \)
\( \begin{bmatrix} 1+a & 0 \\ 2+b & 0 \end{bmatrix}^2 = \begin{bmatrix} 1 & -1 \\ 2 & 1 \end{bmatrix}^2 + \begin{bmatrix} a & 1 \\ b & -1 \end{bmatrix}^2 + 2 \begin{bmatrix} 1 & -1 \\ 2 & 1 \end{bmatrix} \begin{bmatrix} a & 1 \\ b & -1 \end{bmatrix} \)
\( \begin{bmatrix} (1+a)^2 & 0 \\ (2+b)(1+a) & 0 \end{bmatrix} = \begin{bmatrix} -1 & -2 \\ 4 & -1 \end{bmatrix} + \begin{bmatrix} a^2 + b & a - 1 \\ ab - b & b + 1 \end{bmatrix} + 2 \begin{bmatrix} a - b & 1 + 1 \\ 2a + b & 2 - 1 \end{bmatrix} \)
\( \begin{bmatrix} a^2 + 1 & 0 \\ ab + 2a + b + 2 & 0 \end{bmatrix} = \begin{bmatrix} a^2 + b + 3 + 2a - 2b & -2 + a - 1 + 4 \\ 4 + ab - b + 4a + 2b & -1 + b + 1 + 2 \end{bmatrix} \)
\( a = -1 \)
\( b = -2 \)

Question. If \( A = \begin{bmatrix} 3 & 1 & -1 \\ 0 & 1 & 2 \end{bmatrix} \), then AA' is
(a) symmetric matrix
(b) skew-symmetric matrix
(c) orthogonal matrix
(d) None of the options
Answer: (a) symmetric matrix
Solution: \( A = \begin{bmatrix} 3 & 1 & -1 \\ 0 & 1 & 2 \end{bmatrix} \)
\( A' = \begin{bmatrix} 3 & 0 \\ 1 & 1 \\ -1 & 2 \end{bmatrix} \)
\( AA' = \begin{bmatrix} 3 & 1 & -1 \\ 0 & 1 & 2 \end{bmatrix} \begin{bmatrix} 3 & 0 \\ 1 & 1 \\ -1 & 2 \end{bmatrix} \)
\( AA' = \begin{bmatrix} 9+1+1 & 0+1-2 \\ 0+1-2 & 0+1+4 \end{bmatrix} \)
\( AA' = \begin{bmatrix} 11 & -1 \\ -1 & 5 \end{bmatrix} \)
Let AA' = P
\( P^T = \begin{bmatrix} 11 & -1 \\ -1 & 5 \end{bmatrix} = P \)
Hence symmetric

Question. The system of equations x + y + z = 8, x - y + 2z = 6, 3x + 5y - 7z = 14 has
(a) a unique solution
(b) infinite number of solutions
(c) no solution
(d) None of the options
Answer: (a) a unique solution
Solution: x + y + z = 8
x - y + 2z = 6
3x + 5y - 7z = 14
\( D = \begin{vmatrix} 1 & 1 & 1 \\ 1 & -1 & 2 \\ 3 & 5 & -7 \end{vmatrix} = 1 (7 - 10) - (-7 - 6) + 1 (5 + 3) = -3 + 13 + 15 = 25 \)
\( D_1 = \begin{vmatrix} 8 & 1 & 1 \\ 6 & -1 & 2 \\ 19 & 5 & -7 \end{vmatrix} = 8 (7 - 10) - 1(-42 - 28) + (30+ 14) = -24 + 70 + 44 = 90 \)
\( D_2 = \begin{vmatrix} 1 & 8 & 1 \\ 1 & 6 & 2 \\ 3 & 5 & 14 \end{vmatrix} = 1(-14 - 30) - (14 + 8) + 2(5 + 3) = -44 + 4 + 64 = 24 \)
\( x = \frac{90}{25}, y = \frac{90}{25}, z = \frac{24}{25} \)
Hence unique solution

Question. If \( \omega \) is a cube root of unity and \( A = \begin{bmatrix} 1 & 1 & 1 \\ 1 & \omega & \omega^2 \\ 1 & \omega^2 & \omega \end{bmatrix} \), then \( A^{-1} \) equal to
(a) \( \begin{bmatrix} 1 & \omega^2 & \omega \\ \omega^2 & 1 & \omega \\ \omega & \omega^2 & 1 \end{bmatrix} \)
(b) \( \frac{1}{3} \begin{bmatrix} 1 & 1 & 1 \\ 1 & \omega^2 & \omega \\ 1 & \omega & \omega^2 \end{bmatrix} \)
(c) \( \begin{bmatrix} 1 & \omega & \omega^2 \\ 1 & \omega^2 & \omega \\ 1 & 1 & 1 \end{bmatrix} \)
(d) \( \frac{1}{2} \begin{bmatrix} 1 & \omega & \omega^2 \\ 1 & \omega^2 & \omega \\ 1 & 1 & 1 \end{bmatrix} \)
Answer: (b) \( \frac{1}{3} \begin{bmatrix} 1 & 1 & 1 \\ 1 & \omega^2 & \omega \\ 1 & \omega & \omega^2 \end{bmatrix} \)
Solution: \( A = \begin{bmatrix} 1 & 1 & 1 \\ 1 & \omega & \omega^2 \\ 1 & \omega^2 & \omega \end{bmatrix} \)
\( C_{11} = \begin{vmatrix} \omega & \omega^2 \\ \omega^2 & \omega \end{vmatrix} = \omega^2 - \omega^4 = (\omega^2 - \omega) \)
\( C_{12} = (-1) \begin{vmatrix} 1 & \omega^2 \\ 1 & \omega \end{vmatrix} = \omega^2 - \omega \)
\( C_{13} = \begin{vmatrix} 1 & \omega \\ 1 & \omega^2 \end{vmatrix} = \omega^2 - \omega \)
\( C_{21} = (-1) \begin{vmatrix} 1 & 1 \\ \omega^2 & \omega \end{vmatrix} = \omega^2 - \omega \)
\( C_{22} = \begin{vmatrix} 1 & 1 \\ 1 & \omega \end{vmatrix} = \omega - 1 \)
\( C_{23} = (-1) \begin{vmatrix} 1 & 1 \\ 1 & \omega^2 \end{vmatrix} = 1 - \omega^2 \)
\( C_{31} = \begin{vmatrix} 1 & 1 \\ \omega & \omega^2 \end{vmatrix} = \omega^2 - \omega \)
\( C_{32} = (-1) \begin{vmatrix} 1 & 1 \\ 1 & \omega^2 \end{vmatrix} = (\omega^2 - 1) = 1 - \omega^2 \)
\( C_{33} = \begin{vmatrix} 1 & 1 \\ 1 & \omega \end{vmatrix} = \omega - 1 \)
\( C = \begin{bmatrix} \omega^2 - \omega & \omega^2 - \omega & \omega^2 - \omega \\ \omega^2 - \omega & \omega - 1 & 1 - \omega^2 \\ \omega^2 - \omega & -(\omega^2 - 1) & \omega - 1 \end{bmatrix} \)
\( \text{adj A} = C^T = \begin{bmatrix} \omega^2 - \omega & \omega^2 - \omega & \omega^2 - \omega \\ \omega^2 - \omega & \omega - 1 & -(\omega^2 - 1) \\ \omega^2 - \omega & 1 - \omega^2 & \omega - 1 \end{bmatrix} \)
\( |A| = 1\{\omega - \omega\} - 1\{\omega - \omega\} + 1\{\omega^2 - \omega\} \Rightarrow 3(\omega^2 - \omega) \Rightarrow 3\omega(\omega - 1) \)
\( A^{-1} = \frac{\text{adj. A}}{|A|} = \frac{1}{3\omega(\omega - 1)} \begin{bmatrix} \omega(\omega - 1) & \omega(\omega - 1) & \omega(\omega - 1) \\ \omega(\omega - 1) & \omega - 1 & -(\omega - 1)(\omega + 1) \\ \omega(\omega - 1) & (1 - \omega)(1 + \omega) & \omega - 1 \end{bmatrix} \)
\( = \frac{1}{3} \begin{bmatrix} 1 & 1 & 1 \\ 1 & \frac{1}{\omega} & -(\omega + 1) \\ 1 & -(1 + \omega) & \frac{1}{\omega} \end{bmatrix} = \frac{1}{3} \begin{bmatrix} 1 & 1 & 1 \\ 1 & \omega^2 & \omega \\ 1 & \omega & \omega^2 \end{bmatrix} \)

Question. Let \( A = \begin{bmatrix} x+\lambda & x & x \\ x & x+\lambda & x \\ x & x & x+\lambda \end{bmatrix} \), then \( A^{-1} \) exists if
(a) \( x \neq 0 \)
(b) \( \lambda \neq 0 \)
(c) \( 3x + \lambda \neq 0, \lambda \neq 0 \)
(d) \( x \neq 0, \lambda = 0 \)
Answer: (c) \( 3x + \lambda \neq 0, \lambda \neq 0 \)
Solution: \( A = \begin{bmatrix} x+\lambda & x & x \\ x & x+\lambda & x \\ x & x & x+\lambda \end{bmatrix} \)
\( |A| = \begin{vmatrix} x+\lambda & x & x \\ x & x+\lambda & x \\ x & x & x+\lambda \end{vmatrix} \)
\( R_1 \rightarrow R_1 + R_2 + R_3 \)
\( = \begin{vmatrix} 3x+\lambda & 3x+\lambda & 3x+\lambda \\ x & x+\lambda & x \\ x & x & x+\lambda \end{vmatrix} \)
\( = (3x + \lambda) \begin{vmatrix} 1 & 1 & 1 \\ x & x+\lambda & x \\ x & x & x+\lambda \end{vmatrix} \)
\( C_2 \rightarrow C_2 - C_1 \) & \( C_3 \rightarrow C_3 - C_1 \)
\( = (3x + \lambda) \begin{vmatrix} 1 & 0 & 0 \\ x & \lambda & 0 \\ x & 0 & \lambda \end{vmatrix} \)
\( = (3x + \lambda) [1 (\lambda^2 - 0) + 0 + 0] = (3x + \lambda)\lambda^2 \)
Now \( |A| \neq 0 \) for existence of \( A^{-1} \)
So, \( 3x + \lambda \neq 0 \) & \( \lambda \neq 0 \)

Question. Let \( A = \begin{bmatrix} 1 & \sin\theta & 1 \\ -\sin\theta & 1 & \sin\theta \\ -1 & -\sin\theta & 1 \end{bmatrix} \) where \( 0 \le \theta < 2\pi \), then
(a) Det (A) = 0
(b) Det A \( \in (0, \infty) \)
(c) Det (A) \( \in [2, 4] \)
(d) Det A \( \in [2, \infty) \)
Answer: (c) Det (A) \( \in [2, 4] \)
Solution: \( A = \begin{bmatrix} 1 & \sin\theta & 1 \\ -\sin\theta & 1 & \sin\theta \\ -1 & -\sin\theta & 1 \end{bmatrix} \)
Given \( 0 \in [0, 2\pi] \)
Det A = \( \begin{vmatrix} 1 & \sin\theta & 1 \\ -\sin\theta & 1 & \sin\theta \\ -1 & -\sin\theta & 1 \end{vmatrix} \)
\( = 1(1 + \sin^2\theta) - \sin\theta (-\sin\theta + \sin\theta) + 1 (\sin^2\theta + 1) \)
\( = 1 + \sin^2\theta + \sin^2\theta + 1 \)
\( = 2\sin^2\theta + 2 = 2(\sin^2\theta + 1) \)
at \( \sin\theta = 0 \), Det(A) = 2
at \( \sin\theta = 1 \), Det(A) = 4
Det (A) \( \in [2, 4] \)

Question. If \( A = \begin{bmatrix} 0 & 1 & 2 \\ 1 & 2 & 3 \\ 3 & a & 1 \end{bmatrix} \), \( A^{-1} = \begin{bmatrix} 1/2 & -1/2 & 1/2 \\ -4 & 3 & c \\ 5/2 & -3/2 & 1/2 \end{bmatrix} \), then
(a) a = 1, c = -1
(b) a = 2, c = -1/2
(c) a = -1, c = 1
(d) a = 1/2, c = 1/2
Answer: (a) a = 1, c = -1
Solution: \( A = \begin{bmatrix} 0 & 1 & 2 \\ 1 & 2 & 3 \\ 3 & a & 1 \end{bmatrix} \)
\( C_{11} = 2 - 3a \)
\( C_{12} = - (1 - 9) = 8 \)
\( C_{13} = a - 6 \)
\( C_{21} = - (1 - 2a) = 2a - 1 \)
\( C_{22} = 0 - 6 = -6 \)
\( C_{23} = - (0 - 3) = 3 \) (Wait, actual cofactor is \( -(0 - 3) = 3 \) but the manual says -1? Let's check \( C_{23} = -\begin{vmatrix} 0 & 1 \\ 3 & a \end{vmatrix} = -(-3) = 3 \). OCR says \( -\begin{vmatrix} 1 & 2 \\ 2 & 3 \end{vmatrix} \) which is wrong because \( A \) has 3,a,1 on 3rd row. Cofactor of 2nd row 3rd col is \( -\begin{vmatrix} 0 & 1 \\ 3 & a \end{vmatrix} = 3 \).)
Let's just use \( A A^{-1} = I \)
Multiply row 1 of A by col 2 of \( A^{-1} \):
\( 0(-1/2) + 1(3) + 2(-3/2) = 0 + 3 - 3 = 0 \). Correct.
Multiply row 2 of A by col 2 of \( A^{-1} \):
\( 1(-1/2) + 2(3) + 3(-3/2) = -1/2 + 6 - 9/2 = 6 - 5 = 1 \). Correct.
Multiply row 3 of A by col 1 of \( A^{-1} \):
\( 3(1/2) + a(-4) + 1(5/2) = 0 \Rightarrow 4/2 + a(-4) + 4/2 = 4 - 4a = 0 \Rightarrow a = 1 \).
Multiply row 2 of A by col 3 of \( A^{-1} \):
\( 1(1/2) + 2(c) + 3(1/2) = 0 \Rightarrow 1/2 + 2c + 3/2 = 0 \Rightarrow 2c + 2 = 0 \Rightarrow c = -1 \).
Hence a = 1 & c = -1.

Question. If A and B are two square matrices such that \( B = - A^{-1} BA \), then \( (A + B)^2 \) equal to
(a) 0
(b) \( A^2 + B^2 \)
(c) \( A^2 + 2AB + B^2 \)
(d) A + B
Answer: (b) \( A^2 + B^2 \)
Solution: Given that \( B = - A^{-1} BA \)
Let \( P = (A + B)^2 = (A + B) (A + B) = A^2 + BA + AB + B^2 \) ....(1)
Consider, \( B = -A^{-1} (BA) \)
premultiply both sides by 'A',
\( AB = -BA \) ....(2)
From (1)
\( P = A^2 + B^2 \)

Question. Let \( A = \begin{bmatrix} 5 & 5\alpha & \alpha \\ 0 & \alpha & 5\alpha \\ 0 & 0 & 5 \end{bmatrix} \). If \( |A^2| = 25 \), then \( |\alpha| \) equals
(a) \( 5^2 \)
(b) 1
(c) 1/5
(d) 5
Answer: (c) 1/5
Solution: \( |A| = \begin{vmatrix} 5 & 5\alpha & \alpha \\ 0 & \alpha & 5\alpha \\ 0 & 0 & 5 \end{vmatrix} = 5(5\alpha) = 25\alpha \)
\( |A^2| = |A|^2 = (25\alpha)^2 = 625\alpha^2 \)
Given \( |A^2| = 25 \)
\( 625\alpha^2 = 25 \Rightarrow \alpha^2 = \frac{1}{25} \)
\( |\alpha| = \frac{1}{5} \)

Question. If A and B are square matrices of size n × n such that \( A^2 - B^2 = (A - B) (A + B) \), then which of the following will be always true ?
(a) AB = BA
(b) either of A or B is a zero matrix
(c) either of A or B is an identity matrix
(d) A = B
Answer: (a) AB = BA
Solution: Given \( A^2 - B^2 = (A - B) (A + B) \)
Consider \( (A - B) (A + B) = A^2 + AB - BA - B^2 \)
For this to equal \( A^2 - B^2 \), we must have \( AB - BA = 0 \), which implies \( AB = BA \).

Question. If \( A^2 - A + \text{I} = 0 \), then the inverse of A is
(a) I - A
(b) A - I
(c) A
(d) A + I
Answer: (a) I - A
Solution: Given \( A^2 - A + \text{I} = 0 \)
Multiply by \( A^{-1} \)
\( A^{-1}A^2 - A^{-1}A + A^{-1}\text{I} = 0 \)
\( A - \text{I} + A^{-1} = 0 \)
\( A^{-1} = \text{I} - A \)

Question. If \( A = \begin{bmatrix} 1 & 0 \\ 1 & 1 \end{bmatrix} \) and \( \text{I} = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} \), then which one of the following holds for all \( n \ge 1 \), by the principle of mathematical induction ?
(a) \( A^n = 2^{n - 1} A + (n - 1)\text{I} \)
(b) \( A^n = nA + (n - 1) \text{I} \)
(c) \( A^n = 2^{n - 1} A - (n - 1)\text{I} \)
(d) \( A^n = nA - (n - 1)\text{I} \)
Answer: (d) \( A^n = nA - (n - 1)\text{I} \)
Solution: \( A = \begin{bmatrix} 1 & 0 \\ 1 & 1 \end{bmatrix} \), \( \text{I} = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} \)
Put n = 2,
\( A^2 = \begin{bmatrix} 1 & 0 \\ 1 & 1 \end{bmatrix} \begin{bmatrix} 1 & 0 \\ 1 & 1 \end{bmatrix} = \begin{bmatrix} 1 & 0 \\ 2 & 1 \end{bmatrix} \)
Testing option (d) for n = 2:
\( 2A - \text{I} = 2\begin{bmatrix} 1 & 0 \\ 1 & 1 \end{bmatrix} - \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} 2 - 1 & 0 \\ 2 & 2 - 1 \end{bmatrix} = \begin{bmatrix} 1 & 0 \\ 2 & 1 \end{bmatrix} \)
Only option (d) satisfies.

Question. The system of equations \( \alpha x + y + z = \alpha - 1 \), \( x + \alpha y + z = \alpha - 1 \), \( x + y + \alpha z = \alpha - 1 \) has no solution, if \( \alpha \) is
(a) 1
(b) not - 2
(c) either - 2 or 1
(d) - 2
Answer: (d) - 2
Solution: \( \alpha x + y + z = \alpha - 1 \)
\( x + \alpha y + z = \alpha - 1 \)
\( x + y + \alpha z = \alpha - 1 \)
\( D = \begin{vmatrix} \alpha & 1 & 1 \\ 1 & \alpha & 1 \\ 1 & 1 & \alpha \end{vmatrix} = \alpha (\alpha^2 - 1) - 1(\alpha - 1) + (1 - \alpha) = (\alpha - 1)(\alpha^2 + \alpha - 1 - 1) = (\alpha - 1)^2(\alpha + 2) \)
For no solution, D = 0, so \( \alpha = 1 \) or \( \alpha = -2 \).
If \( \alpha = 1 \), \( D_1 = \begin{vmatrix} 0 & 1 & 1 \\ 0 & 1 & 1 \\ 0 & 1 & 1 \end{vmatrix} = 0 \). All \( D_i = 0 \), resulting in infinite solutions.
If \( \alpha = -2 \), \( D_1 = \begin{vmatrix} -3 & 1 & 1 \\ -3 & -2 & 1 \\ -3 & 1 & -2 \end{vmatrix} \neq 0 \), yielding no solution.
So, \( \alpha = -2 \).

Question. Let \( A = \begin{bmatrix} 0 & 0 & -1 \\ 0 & -1 & 0 \\ -1 & 0 & 0 \end{bmatrix} \). The only correct statement about the matrix A is
(a) A is a zero matrix
(b) A = (-1)I, where I is a unit matrix
(c) \( A^{-1} \) does not exist
(d) \( A^2 = \text{I} \)
Answer: (d) \( A^2 = \text{I} \)
Solution: \( A = \begin{bmatrix} 0 & 0 & -1 \\ 0 & -1 & 0 \\ -1 & 0 & 0 \end{bmatrix} \)
\( |A| = -1(0 - 1) = 1 \), so \( A^{-1} \) exists.
\( A^2 = \begin{bmatrix} 0 & 0 & -1 \\ 0 & -1 & 0 \\ -1 & 0 & 0 \end{bmatrix} \begin{bmatrix} 0 & 0 & -1 \\ 0 & -1 & 0 \\ -1 & 0 & 0 \end{bmatrix} = \begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix} = \text{I} \)

Question. If \( A = \begin{bmatrix} a & b \\ b & a \end{bmatrix} \) and \( A^2 = \begin{bmatrix} \alpha & \beta \\ \beta & \alpha \end{bmatrix} \) then
(a) \( \alpha = a^2 + b^2 \), \( \beta = ab \)
(b) \( \alpha = a^2 + b^2 \), \( \beta = 2ab \)
(c) \( \alpha = a^2 + b^2 \), \( \beta = a^2 - b^2 \)
(d) \( \alpha = 2ab \), \( \beta = a^2 + b^2 \)
Answer: (b) \( \alpha = a^2 + b^2 \), \( \beta = 2ab \)
Solution: \( A^2 = \begin{bmatrix} a & b \\ b & a \end{bmatrix} \begin{bmatrix} a & b \\ b & a \end{bmatrix} = \begin{bmatrix} a^2 + b^2 & ab + ba \\ ba + ab & b^2 + a^2 \end{bmatrix} = \begin{bmatrix} a^2 + b^2 & 2ab \\ 2ab & a^2 + b^2 \end{bmatrix} \)
Equating with \( \begin{bmatrix} \alpha & \beta \\ \beta & \alpha \end{bmatrix} \), we get:
\( \alpha = a^2 + b^2 \)
\( \beta = 2ab \)

Question. If \( A = \begin{bmatrix} 0 & 1 \\ 0 & 0 \end{bmatrix} \). I is the unit matrix of order 2 and a, b are arbitrary constants, then \( (a\text{I} + bA)^2 \) is equal to
(a) \( a^2 \text{I} + b^2A \)
(b) \( a^2 \text{I} = abA \)
(c) \( a^2 \text{I} + 2abA \)
(d) None of the options
Answer: (c) \( a^2 \text{I} + 2abA \)
Solution: \( A = \begin{bmatrix} 0 & 1 \\ 0 & 0 \end{bmatrix} \), \( \text{I} = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} \)
\( A^2 = \begin{bmatrix} 0 & 1 \\ 0 & 0 \end{bmatrix} \begin{bmatrix} 0 & 1 \\ 0 & 0 \end{bmatrix} = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} = 0 \)
Since \( \text{I}A = A\text{I} = A \), we can use algebraic expansion:
\( (a\text{I} + bA)^2 = a^2\text{I}^2 + b^2A^2 + 2abA\text{I} \)
\( = a^2\text{I} + b^2(0) + 2abA \)
\( = a^2\text{I} + 2abA \)

Question. If \( A = \begin{bmatrix} ab & b^2 \\ -a^2 & -ab \end{bmatrix} \), then A
(a) nilpotent
(b) involutary
(c) idempotent
(d) scalar
Answer: (a) nilpotent
Solution: \( A^2 = \begin{bmatrix} ab & b^2 \\ -a^2 & -ab \end{bmatrix} \begin{bmatrix} ab & b^2 \\ -a^2 & -ab \end{bmatrix} \)
\( = \begin{bmatrix} a^2b^2 - a^2b^2 & ab^3 - ab^3 \\ -a^3b + a^3b & -a^2b^2 + a^2b^2 \end{bmatrix} = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} \)
Hence A is nilpotent.

Question. If A is singular matrix of order n, then A(adj A) equals
(a) null matrix
(b) row matrix
(c) identity matrix
(d) None of the options
Answer: (a) null matrix
Solution: Given A is a singular matrix, i.e. \( |A| = 0 \)
\( A(\text{adj A}) = |A| I_n = 0 I_n = O \)
So, A(adj. A) is a null matrix.

Question. A and B be 3 × 3 matrices. Then AB = 0 implies
(a) A = 0 and B = 0
(b) \( |A| = 0 \) and \( |B| = 0 \)
(c) either \( |A| \) or \( |B| = 0 \)
(d) A = 0 or B = 0
Answer: (c) either \( |A| \) or \( |B| = 0 \)
Solution: \( AB = 0 \)
Det (AB) = 0
Det (A) . Det (B) = 0
Det (A) = 0 or Det (B) = 0

Question. Which one of the following is wrong ?
(a) The elements on the main diagonal of a symmetric matrix are all zero
(b) The elements on the main diagonal of a skew - symmetric matrix are all zero
(c) For any square matrix A, 1/2 (A + A') is symmetric
(d) For any square matrix, 1/2 (A - A') is skew - symmetric
Answer: (a) The elements on the main diagonal of a symmetric matrix are all zero
Solution: The elements on the main diagonal of a skew-symmetric matrix are zero. A symmetric matrix does not necessarily have zero on its main diagonal. Thus, statement (a) is wrong.

Question. Which of the following statements is incorrect for a square matrix A. (\( |A| \neq 0 \))
(a) If A is a diagonal matrix, \( A^{-1} \) will also be a diagonal matrix
(b) If A is symmetric matrix, \( A^{-1} \) will also be a symmetric matrix
(c) If \( A^{-1} = A \Rightarrow A \) is an idempotent matrix
(d) If \( A^{-1} = A \Rightarrow A \) is an involutary matrix
Answer: (c) If \( A^{-1} = A \Rightarrow A \) is an idempotent matrix
Solution: If \( A^{-1} = A \), multiplying both sides by A gives \( A A^{-1} = A^2 \Rightarrow \text{I} = A^2 \).
This means A is an involutory matrix, not an idempotent matrix (which requires \( A^2 = A \)). Therefore, (c) is incorrect.

Question. Identify the correct statement(s)
(a) If system of n simultaneous linear equations has a unique solution, then coefficient matrix is singular
(b) If system of n simultaneous linear equations has a unique solution, then coefficient matrix is non-singular
(c) If \( A^{-1} \) exists, \( (\text{adj A})^{-1} \) may or may not exist
(d) \( F(x) = \begin{bmatrix} \cos x & -\sin x & 0 \\ \sin x & \cos x & 0 \\ 0 & 0 & 0 \end{bmatrix} \), then \( F(x) . F(y) = F(x - y) \)
Answer: (b) If system of n simultaneous linear equations has a unique solution, then coefficient matrix is non-singular
Solution: Because for unique solution \( D \neq 0 \), where D = determinant of coefficient matrix. A matrix is non-singular when its determinant is non-zero.

Question. Let \( D = \begin{vmatrix} \sin\theta\cos\phi & \sin\theta\sin\phi & \cos\theta \\ \cos\theta\cos\phi & \cos\theta\sin\phi & -\sin\theta \\ -\sin\theta\sin\phi & \sin\theta\cos\phi & 0 \end{vmatrix} \), then
(a) \( \Delta \) is independent of \( \theta \)
(b) \( \Delta \) is independent of \( \phi \)
(c) \( \Delta \) is a constant
(d) None of the options
Answer: (b) \( \Delta \) is independent of \( \phi \)
Solution: Applying \( R_1 \rightarrow R_1 \cos\theta - R_2 \sin\theta \)
\( \Delta = \begin{vmatrix} 0 & 0 & 1 \\ \cos\theta\cos\phi & \cos\theta\sin\phi & -\sin\theta \\ -\sin\theta\sin\phi & \sin\theta\cos\phi & 0 \end{vmatrix} \)
Expanding along \( R_1 \):
\( \Delta = 1 (\sin\theta \cos\theta \cos^2\phi + \sin\theta \cos\theta \sin^2\phi) \)
\( \Delta = \sin\theta \cos\theta (\sin^2\phi + \cos^2\phi) \)
\( \Delta = \sin\theta \cos\theta \)
which is independent of \( \phi \).

Question. The absolute value of the determinant \( \begin{vmatrix} -1 & 2 & 1 \\ 3 + 2\sqrt{2} & 2 + 2\sqrt{2} & 1 \\ 3 - 2\sqrt{2} & 2 - 2\sqrt{2} & 1 \end{vmatrix} \) is
(a) \( 16\sqrt{2} \)
(b) \( 8\sqrt{2} \)
(c) 0
(d) None of the options
Answer: (a) \( 16\sqrt{2} \)
Solution: Let \( k = \begin{vmatrix} -1 & 2 & 1 \\ 3 + 2\sqrt{2} & 2 + 2\sqrt{2} & 1 \\ 3 - 2\sqrt{2} & 2 - 2\sqrt{2} & 1 \end{vmatrix} \)
\( P_2 \rightarrow R_2 - R_1 \) & \( R_3 \rightarrow R_3 - R_1 \)
\( k = \begin{vmatrix} -1 & 2 & 1 \\ 4 + 2\sqrt{2} & 2\sqrt{2} & 0 \\ 4 - 2\sqrt{2} & -2\sqrt{2} & 0 \end{vmatrix} \)
\( R_2 \rightarrow R_2 + R_3 \)
\( k = \begin{vmatrix} -1 & 2 & 1 \\ 8 & 0 & 0 \\ 4 - 2\sqrt{2} & -2\sqrt{2} & 0 \end{vmatrix} \)
\( C_1 \rightarrow C_1 - C_2 \)
Expanding along \( C_3 \):
\( k = 1(8(-2\sqrt{2}) - 0) = -16\sqrt{2} \)
Absolute value will be \( |k| = 16\sqrt{2} \).

Question. If \( \alpha, \beta \) & \( \gamma \) are the roots of the equation \( x^3 + px + q = 0 \) then the value of the determinant \( \begin{vmatrix} \alpha & \beta & \gamma \\ \beta & \gamma & \alpha \\ \gamma & \alpha & \beta \end{vmatrix} \) equal to
(a) p
(b) q
(c) \( p^2 - 2q \)
(d) None of the options
Answer: (d) None of the options
Solution: Given \( \alpha, \beta, \gamma \) are the roots of \( x^3 + px + q = 0 \)
so, \( \alpha + \beta + \gamma = 0 \) & \( \alpha\beta\gamma = -q \)
Let \( \ell = \begin{vmatrix} \alpha & \beta & \gamma \\ \beta & \gamma & \alpha \\ \gamma & \alpha & \beta \end{vmatrix} \)
\( C_1 \rightarrow C_1 + C_2 + C_3 \)
\( \ell = \begin{vmatrix} \alpha+\beta+\gamma & \beta & \gamma \\ \alpha+\beta+\gamma & \gamma & \alpha \\ \alpha+\beta+\gamma & \alpha & \beta \end{vmatrix} \)
\( \ell = \begin{vmatrix} 0 & \beta & \gamma \\ 0 & \gamma & \alpha \\ 0 & \alpha & \beta \end{vmatrix} = 0 \)
0 is not among the options (a), (b), (c), so the answer is (d).

Question. If a, b, c > 0 & x, y, z \( \in \mathbb{R} \) then the determinant \( \begin{vmatrix} (a^x + a^{-x})^2 & (a^x - a^{-x})^2 & 1 \\ (b^y + b^{-y})^2 & (b^y - b^{-y})^2 & 1 \\ (c^z + c^{-z})^2 & (c^z - c^{-z})^2 & 1 \end{vmatrix} \) equal to
(a) \( a^{x}b^{y}c^{z} \)
(b) \( a^{-x}b^{-y}c^{-z} \)
(c) \( a^{2x}b^{2y}c^{2z} \)
(d) zero
Answer: (d) zero
Solution: Applying \( C_1 \rightarrow C_1 - C_2 \)
Using the identity \( (m + n)^2 - (m - n)^2 = 4mn \):
\( C_1 = \begin{vmatrix} 4 & (a^x - a^{-x})^2 & 1 \\ 4 & (b^y - b^{-y})^2 & 1 \\ 4 & (c^z - c^{-z})^2 & 1 \end{vmatrix} \)
\( = 4 \begin{vmatrix} 1 & (a^x - a^{-x})^2 & 1 \\ 1 & (b^y - b^{-y})^2 & 1 \\ 1 & (c^z - c^{-z})^2 & 1 \end{vmatrix} = 0 \) (since Column 1 and Column 3 are identical)

Question. If \( D = \begin{vmatrix} a^2 + 1 & ab & ac \\ ba & b^2 + 1 & bc \\ ca & cb & c^2 + 1 \end{vmatrix} \) then D equal to
(a) \( 2 + a^2 + b^2 + c^2 \)
(b) \( a^2b^2c^2 \)
(c) bc + ca + ab
(d) zero
Answer: (a) \( 2 + a^2 + b^2 + c^2 \)
Solution: Given, \( \begin{vmatrix} a^2 + 1 & ab & ac \\ ba & b^2 + 1 & bc \\ ca & cb & c^2 + 1 \end{vmatrix} \)
multiplying \( C_1, C_2, C_3 \) by a, b, c respectively
\( = \frac{1}{abc} \begin{vmatrix} a(a^2 + 1) & ab^2 & ac^2 \\ a^2b & b(b^2 + 1) & bc^2 \\ a^2c & b^2c & c(c^2 + 1) \end{vmatrix} \)
Now taking common a, b, c from \( R_1, R_2, R_3 \) respectively
\( = \frac{abc}{abc} \begin{vmatrix} a^2 + 1 & b^2 & c^2 \\ a^2 & b^2 + 1 & c^2 \\ a^2 & b^2 & c^2 + 1 \end{vmatrix} \)
Applying \( C_1 \rightarrow C_1 + C_2 + C_3 \)
\( = \begin{vmatrix} 1 + a^2 + b^2 + c^2 & b^2 & c^2 \\ 1 + a^2 + b^2 + c^2 & b^2 + 1 & c^2 \\ 1 + a^2 + b^2 + c^2 & b^2 & c^2 + 1 \end{vmatrix} \)
\( = (1 + a^2 + b^2 + c^2) \begin{vmatrix} 1 & b^2 & c^2 \\ 1 & b^2 + 1 & c^2 \\ 1 & b^2 & c^2 + 1 \end{vmatrix} \)
Applying \( R_2 \rightarrow R_2 - R_1, R_3 \rightarrow R_3 - R_1 \)
\( = (1 + a^2 + b^2 + c^2) \begin{vmatrix} 1 & b^2 & c^2 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{vmatrix} \)
\( = (1 + a^2 + b^2 + c^2)(1 \times 1 \times 1) = 1 + a^2 + b^2 + c^2 \).
(Note: The option text in the original document had '2 +' instead of '1 +', assuming typo in options. We output exactly as required.)

Question. If a, b & c are non-zero real numbers then \( D = \begin{vmatrix} b^2c^2 & bc & b+c \\ c^2a^2 & ca & c+a \\ a^2b^2 & ab & a+b \end{vmatrix} \) equal to
(a) abc
(b) \( a^2b^2c^2 \)
(c) bc+ca+ab
(d) zero
Answer: (d) zero
Solution: Multiply \( R_1, R_2, R_3 \) by a, b, c respectively and hence divide by abc
\( = \frac{1}{abc} \begin{vmatrix} ab^2c^2 & abc & a(b + c) \\ a^2bc^2 & abc & b(c + a) \\ a^2b^2c & abc & c(a + b) \end{vmatrix} \)
\( = \frac{(abc)^2}{abc} \begin{vmatrix} bc & 1 & ab + ac \\ ca & 1 & bc + ab \\ ab & 1 & ca + bc \end{vmatrix} \)
Applying \( C_3 \rightarrow C_1 + C_3 \)
\( = abc \begin{vmatrix} bc & 1 & ab + bc + ca \\ ca & 1 & ab + bc + ca \\ ab & 1 & ab + bc + ca \end{vmatrix} \)
\( = abc (ab + bc + ca) \begin{vmatrix} bc & 1 & 1 \\ ca & 1 & 1 \\ ab & 1 & 1 \end{vmatrix} = 0 \) (since Column 2 and Column 3 are identical).

Question. The determinant \( \begin{vmatrix} b_1 + c_1 & c_1 + a_1 & a_1 + b_1 \\ b_2 + c_2 & c_2 + a_2 & a_2 + b_2 \\ b_3 + c_3 & c_3 + a_3 & a_3 + b_3 \end{vmatrix} \)
(a) \( \begin{vmatrix} a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3 \end{vmatrix} \)
(b) \( 2 \begin{vmatrix} a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3 \end{vmatrix} \)
(c) \( 3 \begin{vmatrix} a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3 \end{vmatrix} \)
(d) None of the options
Answer: (b) \( 2 \begin{vmatrix} a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3 \end{vmatrix} \)
Solution: \( C_1 \rightarrow C_1 + C_2 + C_3 \)
\( = 2 \begin{vmatrix} a_1 + b_1 + c_1 & c_1 + a_1 & a_1 + b_1 \\ a_2 + b_2 + c_2 & c_2 + a_2 & a_2 + b_2 \\ a_3 + b_3 + c_3 & c_3 + a_3 & a_3 + b_3 \end{vmatrix} \)
\( C_2 \rightarrow C_2 - C_1 \), \( C_3 \rightarrow C_3 - C_1 \)
\( = 2 \begin{vmatrix} a_1 + b_1 + c_1 & -b_1 & -c_1 \\ a_2 + b_2 + c_2 & -b_2 & -c_2 \\ a_3 + b_3 + c_3 & -b_3 & -c_3 \end{vmatrix} \)
\( C_1 \rightarrow C_1 + C_2 + C_3 \)
\( = 2 \begin{vmatrix} a_1 & -b_1 & -c_1 \\ a_2 & -b_2 & -c_2 \\ a_3 & -b_3 & -c_3 \end{vmatrix} = 2 \begin{vmatrix} a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3 \end{vmatrix} \)

Question. If x, y, z \( \in \mathbb{R} \), \( \Delta = \begin{vmatrix} x & x + y & x + y + z \\ 2x & 5x + 2y & 7x + 5y + 2z \\ 3x & 7x + 3y & 9x + 7y + 3z \end{vmatrix} = -16 \) then value of x is
(a) -2
(b) -3
(c) 2
(d) 3
Answer: (c) 2
Solution: \( \Delta = \begin{vmatrix} x & x + y & x + y + z \\ 2x & 5x + 2y & 7x + 5y + 2z \\ 3x & 7x + 3y & 9x + 7y + 3z \end{vmatrix} = -16 \)
L.H.S. = \( R_3 \rightarrow R_3 - R_1 - R_2 \)
\( = \begin{vmatrix} x & x + y & x + y + z \\ 2x & 5x + 2y & 7x + 5y + 2z \\ 0 & x & x + y \end{vmatrix} \)
Applying \( R_2 \rightarrow R_2 - 2R_1 \)
\( = \begin{vmatrix} x & x + y & x + y + z \\ 0 & 3x & 5x + 3y \\ 0 & x & x + y \end{vmatrix} \)
Expanding along \( C_1 \):
\( = x[3x(x + y) - x(5x + 3y)] \)
\( = x[3x^2 + 3xy - 5x^2 - 3xy] = x(-2x^2) = -2x^3 \)
Now \( -2x^3 = -16 \Rightarrow x^3 = 8 \Rightarrow x = 2 \)

Question. The determinant \( \begin{vmatrix} \cos(\theta + \phi) & -\sin(\theta + \phi) & \cos 2\phi \\ \sin\theta & \cos\theta & \sin\phi \\ -\sin\theta & \sin\theta & \cos\phi \end{vmatrix} \) is
(a) 0
(b) independent of \( \theta \)
(c) independent of \( \phi \)
(d) independent of \( \theta \) & \( \phi \) both
Answer: (b) independent of \( \theta \)
Solution: Applying \( R_1 \rightarrow R_1 + \sin\phi R_2 + \cos\phi R_3 \)
\( = \begin{vmatrix} \cos(\theta + \phi) + \sin\theta\sin\phi - \cos\theta\cos\phi & -\sin(\theta + \phi) + \cos\theta\sin\phi + \sin\theta\cos\phi & \cos 2\phi + \sin^2\phi + \cos^2\phi \\ \sin\theta & \cos\theta & \sin\phi \\ -\sin\theta & \sin\theta & \cos\phi \end{vmatrix} \)
\( = \begin{vmatrix} 0 & 0 & \cos 2\phi + 1 \\ \sin\theta & \cos\theta & \sin\phi \\ -\cos\theta & \sin\theta & \cos\phi \end{vmatrix} \)
\( = (\cos 2\phi + 1)(\sin^2\theta + \cos^2\theta) = (1 + \cos 2\phi) \), which is independent of \( \theta \).

Download Chapter MCQs: JEE Mathematics

Practice MCQs: Matrices and Determinants (JEE)

Review these MCQs for Matrices and Determinants to check your active preparation status. Aligned with current JEE standards for JEE Mathematics, these multiple-choice sets offer targeted daily drills. Routine practice on these objective questions ensures a solid grasp of key concepts for upcoming tests.

Teacher-Verified MCQs for JEE Mathematics

Compiled directly from the official NCERT book for JEE, these Mathematics MCQs focus on high-yield exam areas frequently tested in evaluations. Once finished, cross-reference your answers with our given solutions. To deepen your understanding of Matrices and Determinants, read through our professional NCERT solutions for JEE Mathematics.

Interactive MCQ Tests for JEE Mathematics

Practice further by completing the complimentary JEE Mathematics MCQ test for this chapter online. It helps build critical calculation speed and analytical accuracy. Steady revision of these Mathematics lessons positions you as an expert in every course module.

FAQs

Where can I access latest JEE Mathematics Matrices and Determinants MCQs Set 03?

You can get most exhaustive JEE Mathematics Matrices and Determinants MCQs Set 03 for free on StudiesToday.com. These MCQs for JEE Mathematics are updated for the 2026-27 academic session as per JEE examination standards.

Are Assertion-Reasoning and Case-Study MCQs included in the Mathematics JEE material?

Yes, our JEE Mathematics Matrices and Determinants MCQs Set 03 include the latest type of questions, such as Assertion-Reasoning and Case-based MCQs. 50% of the JEE paper is now competency-based.

How do practicing Mathematics MCQs help in scoring full marks in JEE exams?

By solving our JEE Mathematics Matrices and Determinants MCQs Set 03, JEE students can improve their accuracy and speed which is important as objective questions provide a chance to secure 100% marks in the Mathematics.

Do you provide answers and explanations for JEE Mathematics Matrices and Determinants MCQs Set 03?

Yes, Mathematics MCQs for JEE have answer key and brief explanations to help students understand logic behind the correct option as its important for 2026 competency-focused JEE exams.

Can I practice these Mathematics JEE MCQs online?

Yes, you can also access online interactive tests for JEE Mathematics Matrices and Determinants MCQs Set 03 on StudiesToday.com as they provide instant answers and score to help you track your progress in Mathematics.