Question:

Let

\( A = \begin{bmatrix} 1 & 0 & 0 \\ 0 & \alpha & \beta \\ 0 & \beta & \alpha \end{bmatrix} \)

and \(|2A|^3 = 2^{21}\) where \(\alpha, \beta \in \mathbb{Z}\). Then a value of \(\alpha\) is:

Updated On: Jan 3, 2025
  • 5
  • 3
  • 9
  • 17
Hide Solution
collegedunia
Verified By Collegedunia

The Correct Option is A

Solution and Explanation

Step 1: Calculate the Determinant of A

\(|A| = \alpha^2 - \beta^2\)

Step 2: Use the Condition \(|2A|^3 = 2^{21}\)

We know that:

\(|2A| = 2^3 |A| = 2^{21} \Rightarrow |A| = 2^4 = 16\)

Step 3: Set Up the Equation

\(\alpha^2 - \beta^2 = 16\)

Factor as \((\alpha + \beta)(\alpha - \beta) = 16\).

Step 4: Solve for Possible Values of \(\alpha\)

Possible integer solutions for \((\alpha, \beta)\) that satisfy the equation give \(\alpha = 4\) or \(\alpha = 5\).

Since \(\alpha = 5\) satisfies the condition, we choose \(\alpha = 5\).

So, the correct answer is: 5

Was this answer helpful?
6
19

Questions Asked in JEE Main exam

View More Questions

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.