Question:

Let $x \, \in \, R$ and let $P = \begin{bmatrix}1&1&1\\ 0&2&2\\ 0&0&3\end{bmatrix},\quad Q = \begin{bmatrix}2&x&x\\ 0&4&0\\ x&x&6\end{bmatrix}$ and $R = PQP^{-1}$. Then which of the following options is/are correct?

Updated On: Aug 15, 2022
  • There exists a real number x such that PQ = QP
  • detR = det $\begin{bmatrix}2&x&x\\ 0&4&0\\ x&x&5\end{bmatrix} +8,$ for all $x \, \in \, R$
  • For x = 0,if R $\begin{bmatrix}1\\ a\\ b\end{bmatrix} = 6 \begin{bmatrix}1\\ a\\ b\end{bmatrix}, $ then a + b = 5
  • For x = 1, there exists a unit vector $\alpha\hat{i} + \beta\hat{j} +\gamma\hat{k}$ for which $R\begin{bmatrix}\alpha\\ \beta\\ \gamma\end{bmatrix} = \begin{bmatrix}0\\ 0\\ 0\end{bmatrix}$
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The Correct Option is C

Solution and Explanation

det($R$) = det($PQP^{-1}$) = (det $P$)(det$Q$) $\left(\frac{1}{det\,P}\right)$ $=$ det $Q$ $=48-4x^{2}$ for $x = 1$ det $\left(R\right)-44 \ne 0$ $\therefore$ for equation $R\begin{bmatrix}\alpha\\ \beta\\ \gamma\end{bmatrix}=\begin{bmatrix}0\\ 0\\ 0\end{bmatrix}$ We will have trivial solution $\alpha=\beta=\gamma$ $PQ = QP$ $PQP^{-1} = Q$ $R = Q$ No value of x. det $\begin{bmatrix}2&x&x\\ 0&4&0\\ x&x&5\end{bmatrix}+8$ $=\left(40-4x^{2}\right)+8=48-4x^{2}-det R\,\forall\,x\,\in\,R$ $R=\begin{bmatrix}2&1&2/3\\ 0&4&4/3\\ 0&0&6\end{bmatrix}$ $\left(R-6I\right)\begin{bmatrix}1\\ a\\ b\end{bmatrix}=O$ $\Rightarrow-4+a+\frac{2b}{3}=0$ $-2a+\frac{4b}{3}=0$ $\Rightarrow a=2\,b=3$ $a+b=5$
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Concepts Used:

Matrices

Matrix:

A matrix is a rectangular array of numbers, variables, symbols, or expressions that are defined for the operations like subtraction, addition, and multiplications. The size of a matrix is determined by the number of rows and columns in the matrix.

The basic operations that can be performed on matrices are:

  1. Addition of Matrices - The addition of matrices addition can only be possible if the number of rows and columns of both the matrices are the same.
  2. Subtraction of Matrices - Matrices subtraction is also possible only if the number of rows and columns of both the matrices are the same.
  3. Scalar Multiplication - The product of a matrix A with any number 'c' is obtained by multiplying every entry of the matrix A by c, is called scalar multiplication. 
  4. Multiplication of Matrices - Matrices multiplication is defined only if the number of columns in the first matrix and rows in the second matrix are equal. 
  5. Transpose of Matrices - Interchanging of rows and columns is known as the transpose of matrices.