Q.Express the following matrices as the sum of a symmetric and a skew symmetric matrix:
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Start your 14-day free trial to unlock the full solution →Every square matrix can be uniquely written as where is symmetric and is skew-symmetric. We apply this decomposition to each given matrix.
The idea is beautiful in its simplicity. Any square matrix can be split into two parts: one that is symmetric (equal to its own transpose) and one that is skew-symmetric (equal to the negative of its transpose). The trick is to use the transpose itself to manufacture these parts.
If you take any matrix , then is always symmetric — because transposing it gives itself back. Similarly, is always skew-symmetric — because transposing it flips its sign. Halving each gives the exact decomposition.
For any square matrix :
and .
Let's apply this to each matrix.
(i)
Step 1: Find .
Transpose means swap rows and columns:
Step 2: Compute .
Add element-wise:
Now halve:
Check: is symmetric — .
Step 3: Compute .
Subtract:
Halve:
Check: is skew-symmetric — diagonal entries are zero, and .
Step 4: Verify. …
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