How Does Invertibility Affect the Determinant in Matrix Operations?

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Homework Help Overview

The discussion revolves around the relationship between the invertibility of matrices and their determinants, specifically focusing on the expression det(BAB^-1) and its equivalence to det(A) when B is an invertible square matrix.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the theorem that relates the determinants of products of matrices, questioning how to apply it to the expression det(BAB^-1).
  • Some participants consider how the determinant of an inverse matrix relates to the determinant of the original matrix.
  • There are attempts to simplify the expression and connect the determinants of B and B^-1 to the identity matrix.

Discussion Status

Some participants have provided hints and guidance on how to approach the proof, suggesting that the original poster may have already completed the proof through their reasoning. Multiple interpretations of the problem are being explored, particularly regarding the properties of determinants.

Contextual Notes

There is a mention of confusion regarding the notation and the rendering of LaTeX equations, indicating a potential barrier to clear communication of mathematical ideas.

RWalden21
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Homework Statement



Let A and B be square matrices, with B invertible. Show that det(BAB^-1) = det(A)


Homework Equations



I think its based off the theorem: If A and B are nxn matrices, then det(AB)= det(A)det(B)

The Attempt at a Solution




I started by simplifying BAB^-1det(A) to just try to get det(A) but I'm just not sure how to do the proof.
 
Last edited:
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Right so how you would expand de(BAB-1) ? And how does det(B) relate to det(B-1)?
 
I suppose you can expand by det(B)det(A)det(B^-1) but I don't know how det(B) relates to det(B^-1). What I was thinking was by expanding and somehow getting B and B^-1 to = I somehow det(A) would remain
 
RWalden21 said:
I suppose you can expand by det(B)det(A)det(B^-1) but I don't know how det(B) relates to det(B^-1). What I was thinking was by expanding and somehow getting B and B^-1 to = I somehow det(A) would remain

Hint: B-1B= I so if you find then the determinant of I should be the same as the determinant of B-1B right?
 
is this correct?

det(BAB^-1)= det(B)det(A)det(B^-1)= det(BB^-1)det(A)= det(I)det(A)= det(A)

det(I) = 1
 
RWalden21 said:
is this correct?

det(BAB^-1)= det(B)det(A)det(B^-1)= det(BB^-1)det(A)= det(I)det(A)= det(A)

det(I) = 1

Yep, that will work. So now you know that det(B-1) = 1/det(B), which may help you somewhere down the road.
 
RWalden21 said:

Homework Statement



Let A and B be square matrices, with B invertible. Show that det(BAB^-1) = det(A)

Homework Equations



I think its based off the theorem: If A and B are nxn matrices, then det(AB)= det(A)det(B)

The Attempt at a Solution

I started by simplifying BAB^-1det(A) to just try to get det(A) but I'm just not sure how to do the proof.

Didn't you realize you've like already done the proof? You know that if ##\mathbf A,\;\mathbf B\in\mathbb R##, then ##\det\mathbf{AB}=\det\mathbf A\det\mathbf B## and ##\det\left(\mathbf{A}^{-1}\right)=\det\left(\mathbf{A}\right)^{-1}##. So if you just simplify ##\det\left(\mathbf{BAB^{-1}}\right)##, what do you get?

Edit: Why is the ##\LaTeX## equation not rendering?
Edit2: Ok, now it renders. I just realized there is an even simpler method though. You could just break up the determinant into three parts and the join two of them and you are done.
 
Last edited:
dimension10 said:
Didn't you realize you've like already done the proof? You know that if ##\mathbf A,\;\mathbf B\in\mathbb R##
A and B aren't real numbers; they're matrices.
dimension10 said:
, then ##\det\mathbf{AB}=\det\mathbf A\det\mathbf B## and ##\det\left(\mathbf{A}^{-1}\right)=\det\left(\mathbf{A}\right)^{-1}##. So if you just simplify ##\det\left(\mathbf{BAB^{-1}}\right)##, what do you get?
 
Mark44 said:
A and B aren't real numbers; they're matrices.

Sorry, I meant ##\mathbf{A},\;\mathbf{B}\in\mathbb R^{n\times n}##
 

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