Proving the Formula for Matrix Multiplication | Homework Statement & Equations

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Homework Help Overview

The discussion revolves around proving the formula for matrix multiplication, specifically the expression (\text{AB})_{i \,j}=\sum _{k=1}^n a_{i \,k}b_{k \,j}. The subject area is linear algebra, focusing on matrix operations and their theoretical foundations.

Discussion Character

  • Exploratory, Conceptual clarification

Approaches and Questions Raised

  • Participants are questioning the nature of the proof required for the matrix multiplication formula. Some express uncertainty about how to approach proving it for arbitrary values of k and n. Others clarify that the formula is a definition of matrix multiplication and inquire about the specific requirements of the proof.

Discussion Status

The discussion is ongoing, with participants exploring different interpretations of what it means to "prove" the formula. Some guidance has been offered regarding the relationship between matrix multiplication and linear transformations, suggesting a focus on how matrices affect basis vectors.

Contextual Notes

There is a reference to a specific textbook that presents the matrix multiplication rule followed by an exercise asking for a proof, indicating that the context may involve academic expectations for understanding this concept.

Shaun Culver
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Homework Statement



Prove the formula.


Homework Equations



Matrix multiplication:
[tex](\text{AB})_{i \,j}=\sum _{k=1}^n a_{i \,k}b_{k \,j}[/tex]


The Attempt at a Solution



I do not know how to "prove" the formula for arbitrary values of [itex]k[/itex] and [itex]n[/itex].
 
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Okay, what he is doing is defining the matrix corresponding to a linear transformation, then defining the multiplication of two matrices as the matrix corresponding to the composition of the two corresponding linear transformation, finally giving that formula. What is asked here is that you show that this formula really does give the matrix corresponding to the composition of two linear transformations. I would recommend that you look at what the linear transformations and the two matrices do to each of the basis vectors in turn.
 

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