Proving the Formula for Matrix Multiplication | Homework Statement & Equations

Click For Summary
SUMMARY

The discussion focuses on proving the formula for matrix multiplication, specifically the equation (\text{AB})_{i \,j}=\sum _{k=1}^n a_{i \,k}b_{k \,j}. Participants clarify that this formula is the definition of matrix multiplication. They reference "A Course in Modern Mathematical Physics" by Peter Szekeres, which presents the formula and prompts readers to prove it. The key takeaway is that the proof involves demonstrating how the formula corresponds to the composition of two linear transformations.

PREREQUISITES
  • Understanding of matrix multiplication and its definition
  • Familiarity with linear transformations
  • Knowledge of basis vectors in vector spaces
  • Basic mathematical proof techniques
NEXT STEPS
  • Study the properties of linear transformations and their matrix representations
  • Explore the concept of basis vectors and their role in linear algebra
  • Learn how to construct proofs in linear algebra, particularly for matrix operations
  • Review examples of matrix multiplication in the context of linear transformations
USEFUL FOR

Students of linear algebra, mathematicians, and educators seeking to understand or teach the proof of matrix multiplication and its applications in linear transformations.

Shaun Culver
Messages
69
Reaction score
0

Homework Statement



Prove the formula.


Homework Equations



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


The Attempt at a Solution



I do not know how to "prove" the formula for arbitrary values of k and n.
 
Physics news on Phys.org
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.
 

Similar threads

Replies
9
Views
2K
  • · Replies 11 ·
Replies
11
Views
2K
Replies
2
Views
1K
  • · Replies 12 ·
Replies
12
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 16 ·
Replies
16
Views
2K
  • · Replies 5 ·
Replies
5
Views
12K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K