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If A is a square matrix such that \(|A| = -2\), then \(|AA^T|\), where \(A^T\) is the transpose of A, is equal to

This question was previously asked in
NDA 2 2026 GAT Question Paper (13-Sep-2026)
The correct answer is
4

Determinant Calculation for Matrix Transpose

The problem requires finding the determinant of the product \(AA^T\), where \(A\) is a square matrix with a known determinant \(|A| = -2\). We need to calculate \(|AA^T|\).

Key Determinant Properties Utilized

Two essential properties of determinants are used here:

  • Product Rule: The determinant of a product of two square matrices is the product of their determinants. Mathematically, for square matrices \(X\) and \(Y\), \(|XY| = |X| \cdot |Y|\).
  • Transpose Rule: The determinant of the transpose of a square matrix is equal to the determinant of the original matrix. Mathematically, for a square matrix \(X\), \(|X^T| = |X|\).

Calculation Steps

  1. Apply the Product Rule to \(|AA^T|\): \(|AA^T| = |A| \cdot |A^T|\)
  2. Apply the Transpose Rule (\(|A^T| = |A|\)) to the expression derived in step 1: \(|AA^T| = |A| \cdot |A| = (|A|)^2\)
  3. Substitute the given value \(|A| = -2\) into the equation: \(|AA^T| = (-2)^2\)
  4. Compute the final result: \(|AA^T| = 4\)

Thus, the determinant \(|AA^T|\) is 4.

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