Why was matrix multiplication defined the way it is?

In summary, Matrix multiplication is a mathematical operation used in linear algebra and scientific and engineering applications. It involves multiplying two matrices together, with the number of columns in the first matrix matching the number of rows in the second matrix. The result is a new matrix with the same number of rows as the first and the same number of columns as the second. If the dimensions are not compatible, the operation cannot be performed. Matrix multiplication has special properties such as commutative, associative, and distributive, but it is not commutative like regular multiplication and the dimensions must be compatible for multiplication to be possible.
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quasar987
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What was the (historical) motivation for defining the rules of matrix multiplication the way it is?
 
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As far as I know, it comes from performing 2 linear transformations, A and B, one after the other. Then realising that both linear transformations can be written as one matrix, C, and then realising that C can be written as the A and B if we define this new operation called matrix multiplication.
 
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Matrix multiplication was defined the way it is in order to accurately represent and manipulate mathematical operations involving matrices. The historical motivation for defining the rules of matrix multiplication can be traced back to the need for efficient computation and representation of linear transformations.

In the late 19th and early 20th century, mathematicians and scientists were facing the challenge of solving systems of linear equations, which arise in various fields such as physics, engineering, and economics. To solve these systems, they needed a way to represent and manipulate large amounts of data in a concise and efficient manner. This led to the development of matrices as a mathematical tool for representing linear transformations.

However, in order to perform operations on matrices, such as addition and multiplication, certain rules needed to be established. For addition, the rules were relatively straightforward - matrices of the same size could be added together by adding corresponding entries. However, when it came to multiplication, it was not as simple.

The historical motivation for defining the rules of matrix multiplication was to accurately represent and compute the composition of linear transformations. This was important in fields such as physics and engineering, where multiple transformations needed to be performed in a specific order to achieve a desired result. The rules of matrix multiplication were carefully chosen to ensure that the result of multiplying two matrices together would accurately represent the composition of linear transformations.

Another motivation for defining matrix multiplication was the need for efficient computation. The rules were designed to minimize the number of operations required to multiply two matrices together, making it a more efficient process. This was especially important in the early days of computing when resources were limited and time-consuming calculations needed to be avoided.

In conclusion, matrix multiplication was defined the way it is in order to accurately represent and manipulate linear transformations, as well as to ensure efficient computation. Its historical motivation can be traced back to the need for solving systems of linear equations and the development of efficient computing methods. The rules of matrix multiplication have stood the test of time and continue to be an essential tool in various fields of mathematics and science.
 

What is matrix multiplication?

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.

How do you perform matrix multiplication?

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.

What is the result of matrix multiplication?

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.

What happens if the dimensions of the matrices are not compatible for multiplication?

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.

Are there any special properties of matrix multiplication?

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.

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