Matrix multiplication is non-commutative because changing the order changes which rows are combined with which columns. Therefore, for matrices and , generally ; sometimes one product may not even be defined.
This explanation assumes IB Mathematics: Applications and Interpretation HL, particularly AHL 1.14, Introduction to matrices, in a short-response Paper 1 style. A GDC is permitted, although a product may be calculated by hand.
Why Order Matters
Each entry in a product is obtained using row-by-column multiplication. In , rows of multiply columns of ; in , rows of multiply columns of . These are different calculations.
Consider
| Product | Result |
|---|---|
Hence, .
Matrices can also represent transformations. In , matrix transforms first, followed by . In , the order is reversed. Just as rotating and then reflecting an object can differ from reflecting and then rotating it, the resulting matrices can differ.
For example, take the vector . Applying first gives , and then applying gives . Reversing the order gives followed by . Since the final vectors can differ, the composed transformations differ. This is the conceptual reason that multiplication order is read from right to left in a matrix expression.
Dimensions provide another reason. If is and is , then exists and is . However, exists only when , so reversing the order may be impossible.
Non-commutative does not mean that products are always unequal. A matrix commutes with itself, with a compatible identity matrix, and sometimes with other special matrices. However, commutativity must be demonstrated; it cannot be assumed. For an exam comparison, calculate both products explicitly before stating a conclusion.
Exam Technique
A common misconception is importing the commutative rule for numbers into matrices. In an IB response, show row-by-column working, check dimensions, and compare both products. Do not claim matrices never commute: special pairs, such as , do commute.
