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What was the (historical) motivation for defining the rules of matrix multiplication the way it is?
Matrix multiplication is a mathematical operation that involves multiplying two matrices together to produce a new matrix. It is an important tool in linear algebra and is used in many scientific and engineering applications.
To perform matrix multiplication, the number of columns in the first matrix must match the number of rows in the second matrix. Then, the corresponding elements in each row of the first matrix are multiplied by the corresponding elements in each column of the second matrix. The products are then added together to create the new matrix.
The result of matrix multiplication is a new matrix that has the same number of rows as the first matrix and the same number of columns as the second matrix. The elements in the new matrix are calculated by multiplying and summing the corresponding elements in the original matrices.
If the dimensions of the matrices are not compatible for multiplication, the operation cannot be performed. This means that the number of columns in the first matrix must match the number of rows in the second matrix. If this requirement is not met, the matrices cannot be multiplied together.
Yes, there are several special properties of matrix multiplication, including the commutative, associative, and distributive properties. However, unlike regular multiplication, matrix multiplication is not commutative, meaning the order in which the matrices are multiplied affects the result. It is also not always possible to multiply two matrices together, as the dimensions must be compatible.