Why Is Matrix Multiplication Defined the Way It Is?

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SUMMARY

Matrix multiplication is defined to facilitate the composition of linear transformations, allowing the representation of the composition of two linear functions through their respective matrix representations. Specifically, if f and g are linear transformations with matrix representations A and B, the matrix product AB represents the composition fog. This definition is essential for maintaining the structure of linear algebra and ensuring that the operations align with the properties of linear transformations.

PREREQUISITES
  • Understanding of linear transformations
  • Familiarity with matrix representations
  • Basic knowledge of matrix operations
  • Concept of function composition in mathematics
NEXT STEPS
  • Study the properties of linear transformations in detail
  • Explore the implications of matrix multiplication in computer graphics
  • Learn about the relationship between matrix multiplication and vector spaces
  • Investigate applications of matrix multiplication in machine learning algorithms
USEFUL FOR

Students of linear algebra, mathematicians, computer scientists, and anyone interested in understanding the foundational concepts of matrix operations and their applications in various fields.

jacobrhcp
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Something that has bothered me in my linear algebra class was that I learned a lot of techniques but didn't learn why they worked, or what they were useful for.

One of the things is this: why is matrix multiplication so useful in the way it's defined, and not in any other way? Of all the ways we could define the components of a matrix after multiplication, why does the commonly used way turn out to be so great?

I feel this is such a basic property that I should've learned it a long time by now, but I haven't, and I feel sorry about that.
 
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every linear transformation can be represented by a matrix

so take f, g linear and let A, B be their matrix representations respectively, then the matrix representation of fog is the matrix product AB, so it's defined the way it is(however strange it seems at first) so that this works
 

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