Q.Find and , when
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Start your 14-day free trial to unlock the full solution →For any square matrix , gives the symmetric part and gives the skew-symmetric part. Here, is already skew-symmetric, so the symmetric part is the zero matrix and the skew-symmetric part is itself.
Why This Approach Works
Every square matrix can be uniquely split into a symmetric part and a skew-symmetric part. A symmetric matrix equals its own transpose (), while a skew-symmetric matrix equals the negative of its transpose (). The formulas and are not arbitrary — they are derived from solving the system where is symmetric and is skew-symmetric. Take the transpose of both sides: , then add and subtract to isolate and .
The beauty is that this decomposition works for any square matrix, but when itself has special symmetry, the result simplifies dramatically.
Step-by-Step Solution
1. Compute , the transpose of .
Transpose means swapping rows and columns. For , the first row becomes the first column, and so on:
Notice something interesting: is exactly . Check: multiply by and you get the same matrix. This means is skew-symmetric by definition.
A common mistake is to forget the sign pattern on the diagonal. For a skew-symmetric matrix, all diagonal entries must be zero — here they are, so qualifies. If any diagonal entry were non-zero, could not be skew-symmetric.
2. Find the symmetric part: .
Add and :
Add entry by entry:
- :
- :
- :
- :
- :
- :
- :
- :
- :
Every entry cancels to zero. So , the zero matrix. Therefore:
The symmetric part is the zero matrix.
3. Find the skew-symmetric part: .
Subtract from :
Subtract entry by entry (remember: subtracting a negative is adding):
- : …
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