- categories: Linear algebra, Observation
Matrix Multiplication Order Matters
Matrix multiplication is not commutative, meaning the order of multiplication affects the result. When multiplying multiple matrices, the grouping of matrices (i.e., the order of operations) can significantly affect both the computational cost and the interpretation of the result.
Example: , Where Is a Column Vector
Given:
- ,
- ,
- (a column vector).
Scenarios:
-
Compute First:
- : This results in a matrix-vector multiplication, producing a vector .
- : Then results in another matrix-vector multiplication, producing a vector in .
-
Compute First:
- : This results in a matrix-matrix multiplication, producing a matrix .
- : Then multiplying with results in a vector in .
Result:
Both approaches yield the same final vector in , but the intermediate computations and efficiency may differ.
Computational Efficiency
Matrix multiplication has complexity for multiplying a matrix with an matrix. The grouping can change the number of operations required.
-
Compute First:
- : Multiplying with requires operations.
- : Multiplying with the resulting vector requires operations.
- Total Cost: .
-
Compute First:
- : Multiplying with requires operations.
- : Multiplying with requires operations.
- Total Cost: .
Which Is Faster?
- If (as is a column vector), first is generally faster: