Q.If , , . Calculate , and . Also, verify that .
The problem tests the distributive property of matrix multiplication over addition. We compute , , and directly, and verify that holds exactly.
The core idea here is the distributive property of matrix multiplication: for matrices of compatible sizes,
. This is not just a rule to memorise — it follows from the fact that matrix multiplication is defined entry‑wise as a sum of products, and addition of matrices is entry‑wise. So when you multiply a sum of matrices by a column vector, each entry in the result is a sum of two separate dot products, which can be rearranged.
We are given three matrices: (a skew‑symmetric matrix), (another matrix), and (a column vector). All multiplications are defined because the number of columns in and (3) matches the number of rows in (3).
Let’s compute step by step.
1. Compute
is , is , so is .
-
First entry (row 1 of dot ):
-
Second entry (row 2 of dot ):
-
Third entry (row 3 of dot ):
So
2. Compute
- First entry:
- Second entry:
- Third entry:
So
3. Compute
First, add and entry‑wise:
Now multiply by :
- First entry:
- Second entry:
- Third entry:
So
4. Verify
We already have and .
Add them entry‑wise:
This matches exactly.
A common mistake is to forget that matrix addition must be done before multiplication when computing — you cannot multiply and separately by and then add the matrices unless you are using the distributive property, which we are verifying here. The order matters: means add first, then multiply.
The distributive property works because matrix multiplication is linear in the left factor. This is the same reason that always holds when the dimensions are compatible — it’s not a coincidence, it’s built into the definition.
The computed values are , , , and we have verified that .
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