Matrix Masterclass
NCERT EXERCISE 3.3 • Q1 — Q12 COMPLETE
💡 Mastery Essentials
- Transpose ($A’$): Rows become columns and columns become rows.
- Symmetric: Matrix is its own transpose ($A’ = A$).
- Skew-Symmetric: Transpose is the negative of the matrix ($A’ = -A$).
- Sum Property: $A = \frac{1}{2}(A + A’) + \frac{1}{2}(A – A’)$.
Verification follows by calculating the operation first then transposing, vs transposing first then operating.
(i) Symmetric: Since $A’ = \begin{bmatrix} 1 & -1 & 5 \\ -1 & 2 & 1 \\ 5 & 1 & 3 \end{bmatrix} = A$, it is Symmetric.
(ii) Skew-Symmetric: Since $A’ = \begin{bmatrix} 0 & -1 & 1 \\ 1 & 0 & -1 \\ -1 & 1 & 0 \end{bmatrix} = -A$, it is Skew-Symmetric.
Every square matrix $A = P + Q$ where $P = \frac{1}{2}(A+A’)$ and $Q = \frac{1}{2}(A-A’)$.
11. $(AB – BA)’ = (AB)’ – (BA)’ = B’A’ – A’B’ = BA – AB = -(AB – BA)$.
Answer: (A) Skew symmetric matrix
12. $A+A’=I \implies \begin{bmatrix} 2\cos\alpha & 0 \\ 0 & 2\cos\alpha \end{bmatrix} = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} \implies \cos\alpha = 1/2$.
Answer: (B) $\pi/3$