Exercises: Understand Matrix Multiplication Properties
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Recall / Warm-Up
For real numbers, for all . Is this true for matrices?
Yes — multiplication of matrices is always commutative.
No — matrix multiplication is generally NOT commutative; in most cases.
Yes — but only when the matrices are square.
No — but is true whenever both products are defined.
Matrix multiplication is associative. Which equation correctly expresses this?
Which equation correctly expresses the left distributive law for matrix multiplication?
Fluency Practice
Let and . Compute and . Which statement is true?
and ; they are different.
is defined but is undefined for these matrices.
Matrix is and is . Is defined?
Yes — matrix multiplication is always defined for any two matrices.
Yes — because is defined, is too.
No — is and is . The inner dimensions are and , which don't match.
Yes — both and are always defined for the same pair of matrices.
The associative property says . Which manipulation does this allow?
You can swap and in the product.
You can move the parentheses to group the factors differently, as long as the left-to-right order of , , is preserved.
You can multiply in any order you choose.
You can move any one matrix to the front of the product.
Which correctly expands using the right distributive law?
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