Q.If and , then verify that
The transpose of a sum (or difference) of matrices equals the sum (or difference) of their transposes. For the given matrices and , we verify that and by computing both sides and showing they match.
Why This Works: The Intuition
Matrix transpose is a simple operation — it flips rows into columns and columns into rows. When you add two matrices, you add corresponding entries. So if you transpose after adding, you're just flipping the positions of those sums. But if you transpose each matrix first and then add, you're adding the flipped entries — which is exactly the same thing, because addition is commutative and works entry-by-entry. The same logic holds for subtraction. This property is called linearity of the transpose: it respects addition and scalar multiplication.
Let's verify it concretely with the given matrices.
Step-by-Step Verification
1. Compute and
First, add and subtract the matrices entry-wise.
2. Transpose and
Transpose means: row becomes column .
3. Compute and individually
Transpose and :
4. Add and subtract the transposes
Now add and :
This matches exactly.
Now subtract from :
This matches exactly.
A common mistake is to forget that the transpose flips the order of rows and columns. When adding or subtracting, make sure you're comparing corresponding entries after transposition — not just looking at the shape. Also, note that works because subtraction is just addition of a scalar multiple ( times ), and the transpose is linear.
You never actually need to compute both sides fully to verify these properties — they hold for any matrices of the same size. But doing the concrete check builds confidence and catches arithmetic errors. A quick mental check: the entry of is , which is exactly the entry of .
Both identities are verified: and hold for the given matrices.
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