When analyzing a matrix, it’s important to understand its properties like scalar, diagonal, symmetric, and skew-symmetric. A scalar matrix has all diagonal elements equal, and a diagonal matrix has all off-diagonal elements equal to zero. A symmetric matrix satisfies \( A = A^T \), while a skew-symmetric matrix has \( A = -A^T \), and requires all diagonal elements to be zero. Keep these distinctions in mind when classifying matrices.
The given matrix is:
\(\begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ \end{bmatrix}\)
Analysis:
List - I | List -II |
(A) Null Matrix | (I)\(P(A)+P(B)\) |
(B) Scaler Matrix | (II)\(P(A)+P(B)-2P(A\cap B)\) |
(C) Skew-symmetric matrix | (III)\(P(B)-P(A\cap B)\) |
(D)Symmetric Matrix | (IV)\(P(B)-P(A\cap B)\) |