JEE Challenger
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Properties and Invertibility of Matrix Similarity Transformation

Let x∈Rx \in \mathbb{R} and consider the matrices

P=[111022003],Q=[2xx040xx6]andR=PQP−1.P = \begin{bmatrix} 1 & 1 & 1 \\ 0 & 2 & 2 \\ 0 & 0 & 3 \end{bmatrix}, \quad Q = \begin{bmatrix} 2 & x & x \\ 0 & 4 & 0 \\ x & x & 6 \end{bmatrix} \quad \text{and} \quad R = PQP^{-1}.

Then which of the following statements is/are correct?

Options

A

There exists a real number xx such that PQ=QPPQ = QP

B

det⁡R=det⁡[2xx040xx5]+8\det R = \det \begin{bmatrix} 2 & x & x \\ 0 & 4 & 0 \\ x & x & 5 \end{bmatrix} + 8, for all x∈Rx \in \mathbb{R}

Correct
C

For x=0x = 0, if R[1ab]=6[1ab]R \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} = 6 \begin{bmatrix} 1 \\ a \\ b \end{bmatrix}, then a+b=5a + b = 5

Correct
D

For x=1x = 1, there exists a unit vector αi^+βj^+γk^\alpha \hat{i} + \beta \hat{j} + \gamma \hat{k} for which R[αβγ]=[000]R \begin{bmatrix} \alpha \\ \beta \\ \gamma \end{bmatrix} = \begin{bmatrix} 0 \\ 0 \\ 0 \end{bmatrix}

Step-by-Step Solution

To determine which of the given statements are correct, let us analyze each option step by step.


Option (A): Existence of x∈Rx \in \mathbb{R} such that PQ=QPPQ = QP

Let us compute the matrix products PQPQ and QPQP:

PQ=[111022003][2xx040xx6]=[2+x2x+4x+62x2x+8123x3x18]PQ = \begin{bmatrix} 1 & 1 & 1 \\ 0 & 2 & 2 \\ 0 & 0 & 3 \end{bmatrix} \begin{bmatrix} 2 & x & x \\ 0 & 4 & 0 \\ x & x & 6 \end{bmatrix} = \begin{bmatrix} 2 + x & 2x + 4 & x + 6 \\ 2x & 2x + 8 & 12 \\ 3x & 3x & 18 \end{bmatrix} QP=[2xx040xx6][111022003]=[22x+25x+2088x3x3x+18]QP = \begin{bmatrix} 2 & x & x \\ 0 & 4 & 0 \\ x & x & 6 \end{bmatrix} \begin{bmatrix} 1 & 1 & 1 \\ 0 & 2 & 2 \\ 0 & 0 & 3 \end{bmatrix} = \begin{bmatrix} 2 & 2x + 2 & 5x + 2 \\ 0 & 8 & 8 \\ x & 3x & 3x + 18 \end{bmatrix}

Equating the corresponding entries of PQPQ and QPQP:

  • From entry (1,1)(1,1): 2+x=2  ⟹  x=02 + x = 2 \implies x = 0

Substituting x=0x = 0 into both matrices:

PQ=[24608120018]andQP=[2220880018]PQ = \begin{bmatrix} 2 & 4 & 6 \\ 0 & 8 & 12 \\ 0 & 0 & 18 \end{bmatrix} \quad \text{and} \quad QP = \begin{bmatrix} 2 & 2 & 2 \\ 0 & 8 & 8 \\ 0 & 0 & 18 \end{bmatrix}

Clearly, PQ≠QPPQ \neq QP (e.g., (PQ)12=4≠2=(QP)12(PQ)_{12} = 4 \neq 2 = (QP)_{12}).
Hence, there is no real value of xx for which PQ=QPPQ = QP.
Option (A) is incorrect.


Option (B): Determinant of RR

Since R=PQP−1R = PQP^{-1}, we have:

det⁡R=det⁡(PQP−1)=det⁡(P)det⁡(Q)det⁡(P−1)=det⁡Q\det R = \det(PQP^{-1}) = \det(P)\det(Q)\det(P^{-1}) = \det Q

Let us evaluate det⁡Q\det Q:

det⁡Q=∣2xx040xx6∣=4∣2xx6∣=4(12−x2)=48−4x2\det Q = \begin{vmatrix} 2 & x & x \\ 0 & 4 & 0 \\ x & x & 6 \end{vmatrix} = 4 \begin{vmatrix} 2 & x \\ x & 6 \end{vmatrix} = 4(12 - x^2) = 48 - 4x^2

Now, consider the matrix given on the right-hand side of Option (B):

det⁡[2xx040xx5]=4∣2xx5∣=4(10−x2)=40−4x2\det \begin{bmatrix} 2 & x & x \\ 0 & 4 & 0 \\ x & x & 5 \end{bmatrix} = 4 \begin{vmatrix} 2 & x \\ x & 5 \end{vmatrix} = 4(10 - x^2) = 40 - 4x^2

Adding 88 to this determinant:

(40−4x2)+8=48−4x2=det⁡Rfor all x∈R(40 - 4x^2) + 8 = 48 - 4x^2 = \det R \quad \text{for all } x \in \mathbb{R}

Option (B) is correct.


Option (C): Eigenvector relationship for x=0x = 0

For x=0x = 0, the matrix QQ becomes:

Q=[200040006]Q = \begin{bmatrix} 2 & 0 & 0 \\ 0 & 4 & 0 \\ 0 & 0 & 6 \end{bmatrix}

The given equation is:

R[1ab]=6[1ab]R \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} = 6 \begin{bmatrix} 1 \\ a \\ b \end{bmatrix}

Since R=PQP−1R = PQP^{-1}, this can be rewritten as:

PQP−1[1ab]=6[1ab]  ⟹  Q(P−1[1ab])=6(P−1[1ab])P Q P^{-1} \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} = 6 \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} \implies Q \left( P^{-1} \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} \right) = 6 \left( P^{-1} \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} \right)

Let w=P−1[1ab]=[w1w2w3]\mathbf{w} = P^{-1} \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} = \begin{bmatrix} w_1 \\ w_2 \\ w_3 \end{bmatrix}. Then:

Qw=6w  ⟹  [2w14w26w3]=[6w16w26w3]  ⟹  w1=0,w2=0,w3=k(k≠0)Q \mathbf{w} = 6 \mathbf{w} \implies \begin{bmatrix} 2w_1 \\ 4w_2 \\ 6w_3 \end{bmatrix} = \begin{bmatrix} 6w_1 \\ 6w_2 \\ 6w_3 \end{bmatrix} \implies w_1 = 0, \quad w_2 = 0, \quad w_3 = k \quad (k \neq 0)

Now, using [1ab]=Pw\begin{bmatrix} 1 \\ a \\ b \end{bmatrix} = P \mathbf{w}:

[1ab]=[111022003][00k]=[k2k3k]\begin{bmatrix} 1 \\ a \\ b \end{bmatrix} = \begin{bmatrix} 1 & 1 & 1 \\ 0 & 2 & 2 \\ 0 & 0 & 3 \end{bmatrix} \begin{bmatrix} 0 \\ 0 \\ k \end{bmatrix} = \begin{bmatrix} k \\ 2k \\ 3k \end{bmatrix}

Equating the components:

k=1  ⟹  a=2,b=3k = 1 \implies a = 2, \quad b = 3

Thus, a+b=2+3=5a + b = 2 + 3 = 5.
Option (C) is correct.


Option (D): Non-trivial null space for x=1x = 1

The equation R[αβγ]=[000]R \begin{bmatrix} \alpha \\ \beta \\ \gamma \end{bmatrix} = \begin{bmatrix} 0 \\ 0 \\ 0 \end{bmatrix} has a non-zero (and hence unit vector) solution if and only if det⁡R=0\det R = 0.

For x=1x = 1:

det⁡R=det⁡Q=48−4(1)2=44≠0\det R = \det Q = 48 - 4(1)^2 = 44 \neq 0

Since det⁡R≠0\det R \neq 0, the matrix RR is non-singular and invertible, which implies the only solution is the trivial solution α=β=γ=0\alpha = \beta = \gamma = 0. Hence, no unit vector exists.
Option (D) is incorrect.


Conclusion:

The correct options are B and C.