Linear Algebra question concerning matrices

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SUMMARY

The discussion centers on the question of whether the equation AB=AC implies B=C when A is a non-zero matrix. Participants clarify that while the associative property of matrix multiplication is relevant, it does not directly lead to the conclusion that B must equal C. They emphasize the importance of matrix dimensions and the non-commutative nature of matrix multiplication, highlighting that the existence of a zero matrix C can invalidate the implication. The conversation encourages practical exploration through examples to solidify understanding.

PREREQUISITES
  • Understanding of matrix multiplication and its properties
  • Familiarity with the concept of non-zero matrices
  • Knowledge of the associative property in linear algebra
  • Basic comprehension of matrix dimensions and ranks
NEXT STEPS
  • Explore the implications of the zero matrix in matrix equations
  • Study the properties of non-commutative operations in linear algebra
  • Practice solving matrix equations with specific numerical examples
  • Learn about matrix rank and its relevance in multiplication
USEFUL FOR

Students of linear algebra, educators teaching matrix theory, and anyone seeking to deepen their understanding of matrix properties and implications in mathematical equations.

insertnamehere
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Hi, I have a question about matrices.
If A,B,C are matrices such that AB=AC and A is not equal to zero, does it follow that B=C?
I looked at the associative laws that A(BC)=(AB)C=B(AC), and I think that B and C would be the same. Am I on the right track?
 
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I'd check that associative law again. The first two work, but because you can't multiply matrices together unless their ranks match up correctly, the B(AC) will not work for all cases.

For the AB=AC... you're on the right track. Try multiplying by a matrix and see if you can prove it for yourself. Another hint is below in white if you need it

You'll need to do something to A and premultiply[/color]
 
enigma said:
I'd check that associative law again. The first two work, but because you can't multiply matrices together unless their ranks match up correctly, the B(AC) will not work for all cases.

Of course you mean the numbers of rows and columns of the matrices are such that the multiplication B(AC) might not be defined even if A(BC) is. "Rank" is a bad word here as it has another meaning (I'm being picky, but thought it was worth clarifying).

Another problem with insertnamehere's associativity law is swapping the order of multiplication of matrices is not allowed in general (multiplication is not commutative).

As to AB=AC implying B=C, associativitity has nothing to do with it. Try considering the case when C=0. Then your proposition says "if A is nonzero and AB=0 then B is non zero". Is this always true? (it might help to think about 2x2 examples here)
 

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