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Q.The matrix [01−2−10−7270]\begin{bmatrix} 0 & 1 & -2 \\ -1 & 0 & -7 \\ 2 & 7 & 0 \end{bmatrix} is a : (A) diagonal matrix (B) symmetric matrix (C) skew symmetric matrix (D) scalar matrix

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A matrix is skew-symmetric when AT=−AA^T = -A, meaning each element satisfies aij=−ajia_{ij} = -a_{ji} and the diagonal is all zeros. Checking the given matrix confirms it is skew-symmetric.

Every square matrix can be uniquely decomposed into the sum of a symmetric part and a skew-symmetric part. Understanding these two types is fundamental because they capture different geometric behaviors—symmetric matrices represent self-adjoint operators, while skew-symmetric matrices represent infinitesimal rotations.

A symmetric matrix satisfies AT=AA^T = A, meaning the matrix equals its own transpose. Visually, elements are mirrored across the main diagonal: aij=ajia_{ij} = a_{ji} for all i,ji, j.

A skew-symmetric matrix (also called antisymmetric) satisfies AT=−AA^T = -A. This means:

  • Elements are negatives of their mirror images: aij=−ajia_{ij} = -a_{ji}
  • The diagonal must be all zeros (since aii=−aiia_{ii} = -a_{ii} implies aii=0a_{ii} = 0)

Let's examine the given matrix systematically.

A=[01−2−10−7270]A = \begin{bmatrix} 0 & 1 & -2 \\ -1 & 0 & -7 \\ 2 & 7 & 0 \end{bmatrix}

1. Check the diagonal

The diagonal elements are a11=0a_{11} = 0, a22=0a_{22} = 0, a33=0a_{33} = 0. All zeros—this is necessary (but not sufficient) for skew-symmetry. It immediately rules out diagonal and scalar matrices, which require non-zero diagonal entries (at least for scalar matrices, all diagonal entries must be equal and typically non-zero).

2. Check symmetry vs. skew-symmetry

Compare corresponding off-diagonal pairs:

  • a12=1a_{12} = 1 and a21=−1a_{21} = -1: we have a21=−a12a_{21} = -a_{12} ✓
  • a13=−2a_{13} = -2 and a31=2a_{31} = 2: we have a31=−a13a_{31} = -a_{13} ✓
  • a23=−7a_{23} = -7 and a32=7a_{32} = 7: we have a32=−a23a_{32} = -a_{23} ✓

Every element satisfies aij=−ajia_{ij} = -a_{ji}.

3. Verify by computing the transpose …

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