Q.If , , verify that .
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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. Here, we compute , then its transpose, and separately compute — both give the same matrix, verifying the identity.
Why this works: the logic of the transpose rule
The identity is not just a notational trick — it comes from how matrix multiplication and transposition interact. When you multiply (a column vector) by (a row vector), you get a matrix. Transposing that matrix swaps rows and columns. On the other side, becomes a column, becomes a row, and multiplying them in reverse order gives the same result. The reversal is essential because the inner dimensions must match.
Let’s verify it concretely.
- Compute is , is , so is . Each entry is .
- Find Transpose means swap rows and columns: row becomes column .
- Compute and separately is , so is :
is , so is :
- Multiply and is , is , so is . Each entry . …
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