Q.For the matrices A and B, verify that , where
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Start your 14-day free trial to unlock the full solution →The transpose of a product equals the product of the transposes in reverse order: . For both given pairs, we compute , then its transpose, and separately compute , confirming they match exactly.
Why This Works
The property is a fundamental rule of matrix transposition. It says: if you multiply two matrices and then transpose the result, it's the same as transposing each matrix individually and multiplying them in reverse order. This reverse order is crucial — matrix multiplication is not commutative, so the order matters. For the given matrices, is a column vector (3×1) and is a row vector (1×3), so is a 3×3 matrix. Its transpose will be a 3×3 matrix, and will also be 3×3. Let's verify step by step for each case.
Case (i): ,
1. Compute
is 3×1, is 1×3, so is 3×3. Multiply each row of (only one element per row) by each column of (only one column, but we treat it as a row of entries):
2. Compute
Transpose means swap rows and columns. The first row becomes the first column, etc.:
3. Compute and
is 1×3, so is 3×1:
is 3×1, so is 1×3:
4. Compute
Now is 3×1 and is 1×3, so their product is 3×3. Multiply:
5. Compare
and . They are identical. So holds.
A common mistake is to forget reversing the order: some might compute instead of . Here would be 1×1 times 3×3 — not even defined. Always reverse the order.
Case (ii): ,
1. Compute
Again, is 3×1, is 1×3, product is 3×3: …
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