Explain why matrix multiplication is not commutative.

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Matrix multiplication is not commutative because the product AB is defined only when the number of columns in matrix A equals the number of rows in matrix B, while BA may not be defined under the same conditions. Even when both products are defined, they can yield different results, as demonstrated with square matrices. For example, when i = j = k, calculating AB and BA shows that they do not equal each other. This fundamental property arises from the definitions and dimensions of the matrices involved. Therefore, matrix multiplication generally does not satisfy the commutative property.
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The title says it all.

Commutative* sorry
Mod note: fixed title.
 
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Let A = [aij] and B = [ajk] where j ≠ k, then AB is defined, but BA is not.

But consider the case where i = j = k, so that A = [ai] and B = [ai] are square matrices.

Then, take for example i = 2 and calculate AB and BA. What do you find?

Generally, AB ≠ BA, for all values of i. It just stems from the definition of matrix multiplication.
 
Matrix multiplication is defined only for certain rectangular matrices A and B. The matrix product AB is defined only if the number of columns in A is equal to the number of rows in B. Assuming this condition is met, the product AB is defined, but the product BA may not be.
 
h6ss and SteamKing,
Please hold off further comments until I can ascertain whether this is a homework question. If it is, it was posted in the wrong section with no efforts shown.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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