Proving BA=I using Elementary Row Operations and Determinants

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In summary, the conversation discusses the proof of the statement AB=I, and how to prove that BA=I. The suggested method involves finding a sequence of elementary row operations that carries one matrix into the identity matrix, and using the property that if A is regular, then its inverse A^-1 = B. The conversation also suggests using the identity matrix section of a Linear Algebra textbook to find a proof.
  • #1
cocobaby
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Let A and B be 2x2 matrices s.t. AB=I . Then how can I prove that BA=I?


I assumed that there must exist some sequence of elementary row operations which carries B into I, and I denoted this sequence by the matrix A.

But here, I realized there's some pieces that I' m missing, which I colored red.

How can I explain it ? or is the way of proving this statement even valid?

Somebody help me please!
 
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  • #2
If, for example, A is regular, then its inverse A^-1 = B and hence AB = BA = I. But, in general AB does not equal BA.
 
  • #3
This looks like homework, so it should probably be in the homework forum.

I'll give you some hints:

1. Can you prove this if you know that at least one of the matrices is invertible?
2. Can you prove that at least one of them must be invertible?
 
  • #4
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  • #6
It's really easy to do it the way I suggested, so I strongly suggesting that cocobaby try to do it that way instead of trying to find the proof in a book.
 
  • #7
Together with Fredrick's suggestion, use the fact that det(AB)= det(A)det(B)= det(I)= 1.
 

FAQ: Proving BA=I using Elementary Row Operations and Determinants

What does "AB=I" mean in the context of proof?

In the context of proof, "AB=I" means that the product of matrices A and B is equal to the identity matrix, denoted as I.

What is the significance of "BA=I" in this statement?

The statement "BA=I" is significant because it shows that the product of matrices B and A is also equal to the identity matrix. This is important because it demonstrates the commutative property of matrix multiplication.

How does this proof relate to linear algebra?

This proof is directly related to linear algebra because it involves matrix multiplication, which is a fundamental concept in linear algebra. It also demonstrates the properties and relationships between matrices and their products.

Why is this proof important in mathematics?

This proof is important in mathematics because it is a fundamental result in linear algebra and has numerous applications in other areas of mathematics, such as differential equations, computer graphics, and physics.

Can this proof be extended to matrices of any size?

Yes, this proof can be extended to matrices of any size as long as they are square matrices (same number of rows and columns). The same properties and relationships between matrices and their products will still hold true.

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