To determine which of the given statements are correct, let us analyze each option step by step.
Option (A): Existence of x ∈ R x \in \mathbb{R} x ∈ R such that P Q = Q P PQ = QP P Q = QP
Let us compute the matrix products P Q PQ P Q and Q P QP QP :
P Q = [ 1 1 1 0 2 2 0 0 3 ] [ 2 x x 0 4 0 x x 6 ] = [ 2 + x 2 x + 4 x + 6 2 x 2 x + 8 12 3 x 3 x 18 ] 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} P Q = 1 0 0 1 2 0 1 2 3 2 0 x x 4 x x 0 6 = 2 + x 2 x 3 x 2 x + 4 2 x + 8 3 x x + 6 12 18
Q P = [ 2 x x 0 4 0 x x 6 ] [ 1 1 1 0 2 2 0 0 3 ] = [ 2 2 x + 2 5 x + 2 0 8 8 x 3 x 3 x + 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} QP = 2 0 x x 4 x x 0 6 1 0 0 1 2 0 1 2 3 = 2 0 x 2 x + 2 8 3 x 5 x + 2 8 3 x + 18
Equating the corresponding entries of P Q PQ P Q and Q P QP QP :
From entry ( 1 , 1 ) (1,1) ( 1 , 1 ) : 2 + x = 2 ⟹ x = 0 2 + x = 2 \implies x = 0 2 + x = 2 ⟹ x = 0
Substituting x = 0 x = 0 x = 0 into both matrices:
P Q = [ 2 4 6 0 8 12 0 0 18 ] and Q P = [ 2 2 2 0 8 8 0 0 18 ] 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} P Q = 2 0 0 4 8 0 6 12 18 and QP = 2 0 0 2 8 0 2 8 18
Clearly, P Q ≠ Q P PQ \neq QP P Q = QP (e.g., ( P Q ) 12 = 4 ≠ 2 = ( Q P ) 12 (PQ)_{12} = 4 \neq 2 = (QP)_{12} ( P Q ) 12 = 4 = 2 = ( QP ) 12 ).
Hence, there is no real value of x x x for which P Q = Q P PQ = QP P Q = QP .
Option (A) is incorrect.
Option (B): Determinant of R R R
Since R = P Q P − 1 R = PQP^{-1} R = P Q P − 1 , we have:
det R = det ( P Q P − 1 ) = det ( P ) det ( Q ) det ( P − 1 ) = det Q \det R = \det(PQP^{-1}) = \det(P)\det(Q)\det(P^{-1}) = \det Q det R = det ( P Q P − 1 ) = det ( P ) det ( Q ) det ( P − 1 ) = det Q
Let us evaluate det Q \det Q det Q :
det Q = ∣ 2 x x 0 4 0 x x 6 ∣ = 4 ∣ 2 x x 6 ∣ = 4 ( 12 − x 2 ) = 48 − 4 x 2 \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 det Q = 2 0 x x 4 x x 0 6 = 4 2 x x 6 = 4 ( 12 − x 2 ) = 48 − 4 x 2
Now, consider the matrix given on the right-hand side of Option (B):
det [ 2 x x 0 4 0 x x 5 ] = 4 ∣ 2 x x 5 ∣ = 4 ( 10 − x 2 ) = 40 − 4 x 2 \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 det 2 0 x x 4 x x 0 5 = 4 2 x x 5 = 4 ( 10 − x 2 ) = 40 − 4 x 2
Adding 8 8 8 to this determinant:
( 40 − 4 x 2 ) + 8 = 48 − 4 x 2 = det R for all x ∈ R (40 - 4x^2) + 8 = 48 - 4x^2 = \det R \quad \text{for all } x \in \mathbb{R} ( 40 − 4 x 2 ) + 8 = 48 − 4 x 2 = det R for all x ∈ R
Option (B) is correct.
Option (C): Eigenvector relationship for x = 0 x = 0 x = 0
For x = 0 x = 0 x = 0 , the matrix Q Q Q becomes:
Q = [ 2 0 0 0 4 0 0 0 6 ] Q = \begin{bmatrix} 2 & 0 & 0 \\ 0 & 4 & 0 \\ 0 & 0 & 6 \end{bmatrix} Q = 2 0 0 0 4 0 0 0 6
The given equation is:
R [ 1 a b ] = 6 [ 1 a b ] R \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} = 6 \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} R 1 a b = 6 1 a b
Since R = P Q P − 1 R = PQP^{-1} R = P Q P − 1 , this can be rewritten as:
P Q P − 1 [ 1 a b ] = 6 [ 1 a b ] ⟹ Q ( P − 1 [ 1 a b ] ) = 6 ( P − 1 [ 1 a b ] ) 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) P Q P − 1 1 a b = 6 1 a b ⟹ Q P − 1 1 a b = 6 P − 1 1 a b
Let w = P − 1 [ 1 a b ] = [ w 1 w 2 w 3 ] \mathbf{w} = P^{-1} \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} = \begin{bmatrix} w_1 \\ w_2 \\ w_3 \end{bmatrix} w = P − 1 1 a b = w 1 w 2 w 3 . Then:
Q w = 6 w ⟹ [ 2 w 1 4 w 2 6 w 3 ] = [ 6 w 1 6 w 2 6 w 3 ] ⟹ w 1 = 0 , w 2 = 0 , w 3 = 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) Q w = 6 w ⟹ 2 w 1 4 w 2 6 w 3 = 6 w 1 6 w 2 6 w 3 ⟹ w 1 = 0 , w 2 = 0 , w 3 = k ( k = 0 )
Now, using [ 1 a b ] = P w \begin{bmatrix} 1 \\ a \\ b \end{bmatrix} = P \mathbf{w} 1 a b = P w :
[ 1 a b ] = [ 1 1 1 0 2 2 0 0 3 ] [ 0 0 k ] = [ k 2 k 3 k ] \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} 1 a b = 1 0 0 1 2 0 1 2 3 0 0 k = k 2 k 3 k
Equating the components:
k = 1 ⟹ a = 2 , b = 3 k = 1 \implies a = 2, \quad b = 3 k = 1 ⟹ a = 2 , b = 3
Thus, a + b = 2 + 3 = 5 a + b = 2 + 3 = 5 a + b = 2 + 3 = 5 .
Option (C) is correct.
Option (D): Non-trivial null space for x = 1 x = 1 x = 1
The equation R [ α β γ ] = [ 0 0 0 ] R \begin{bmatrix} \alpha \\ \beta \\ \gamma \end{bmatrix} = \begin{bmatrix} 0 \\ 0 \\ 0 \end{bmatrix} R α β γ = 0 0 0 has a non-zero (and hence unit vector) solution if and only if det R = 0 \det R = 0 det R = 0 .
For x = 1 x = 1 x = 1 :
det R = det Q = 48 − 4 ( 1 ) 2 = 44 ≠ 0 \det R = \det Q = 48 - 4(1)^2 = 44 \neq 0 det R = det Q = 48 − 4 ( 1 ) 2 = 44 = 0
Since det R ≠ 0 \det R \neq 0 det R = 0 , the matrix R R R is non-singular and invertible, which implies the only solution is the trivial solution α = β = γ = 0 \alpha = \beta = \gamma = 0 α = β = γ = 0 . Hence, no unit vector exists.
Option (D) is incorrect.
Conclusion:
The correct options are B and C .