Question:

If the order of matrix A is \(3 \times 3\) and \(|A|=2\), then the value of \(|3adj (|3A|A2)|\) is?

Updated On: Apr 9, 2025
  • \(3^{10}.2^{21}\)
  • \(2^{10}.3^{21}\)
  • \(2^{12}.3^{15}\)
  • \(3^{12}.2^{15}\)
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The Correct Option is B

Approach Solution - 1

Given:

  • Step 1: Calculate \( |3A| \):

    \( |A| = 2 \)

    \( |3A| = 3^3 \cdot |A| \)

    \( |3A| = 3^3 \cdot 2 = 27 \cdot 2 \)

  • Step 2: Adj of \( |3A|A^2 \):

    \( \text{Adj.}(|3A|A^2) = \text{Adj.}\{(3^3 \cdot 2)A^2\} \)

    \( = (2 \cdot 3^3)^2 \cdot (\text{Adj.}A)^2 \)

    \( = 2^2 \cdot 36 \cdot (\text{Adj.}A)^2 \)

  • Step 3: Calculate \( |3 \cdot \text{Adj.}(|3A|A^2)| \):

    \( |3 \cdot \text{Adj.}(|3A|A^2)| = |2^2 \cdot 36 \cdot (\text{Adj.}A)^2| \)

    \( = (2^2 \cdot 3^7)^3 \cdot |\text{Adj.}A|^2 \)

    \( = 2^6 \cdot 3^{21} \cdot (|A|^2)^2 \)

    \( = 2^6 \cdot 3^{21} \cdot (2^2)^2 \)

    \( = 2^{10} \cdot 3^{21} \)

  • Step 4: Final Value:

    \( |3 \cdot \text{Adj.}(|3A|A^2)| = 2^{10} \cdot 3^{21} \)

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Approach Solution -2

The correct option is (B): \(2^{10}.3^{21}\)

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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.