Proof: Show that if det(A)=1, then adj(adj(A))=A

In summary, the conversation discusses a proof for the statement that if the determinant of a matrix A is 1, then the adjoint of the adjoint of A is equal to A. The conversation involves using the formula A^-1 = adj(A)/det(A) and manipulating it to show that A = adj(adj(A)). The conversation also mentions a relationship between the determinant of A and A^-1, and how it can be used to simplify the proof.
  • #1
Mdhiggenz
327
1

Homework Statement



Show that if the det(A)=1
then adj(adj(A))=A

Given Goal
det(A)=1 adj(adj(A))=A

Using the following formula A-1=adj(A)/det(A)

if det(A)=1 then A-1=adj(A)

likewise A=adj(A-1)/det(A-1)

if det(A)=1 then det(A-1)=1

Thus A=adj(A-1)
A=adj(A-1)=adj(A)adj=adj(adj(A))

What I'm confused about is

Not sure if this proof is correct, TA explained it rather quickly so I am running on pure memory.

I'm not sure about a few things

1.Why can we assume that det(A

2. why can we use the opposite relation to the equation A=adj(A-1)/det(A-1)

That's where I get a bit lost on the logic.

thanks

Homework Equations





The Attempt at a Solution

 
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  • #2
Mdhiggenz said:
1.Why can we assume that det(A

2. why can we use the opposite relation to the equation A=adj(A-1)/det(A-1)

1) ??

2) You start off with ##\displaystyle A^{-1} = \frac{adj(A)}{det(A)}##

Let the matrix ##\displaystyle B = A^{-1}##. Plug B into the above formula and you have

##\displaystyle B^{-1} = \frac{adj(B)}{det(B)}##

##B## is just ##A^{-1}## so

##\displaystyle (A^{-1})^{-1} = \frac{adj(A^{-1})}{det(A^{-1})}##, and ##(A^{-1})^{-1}## is simply ##A##. Therefore, ##\displaystyle A = \frac{adj(A^{-1})}{det(A^{-1})}##
 
  • #3
sorry i did not know that 1 got cut off I meant why can we assume that the det(A)=det(ainverse)

Also would you agree that my proof is correct?
 
  • #4
In this case, the two determinants are the same. But in general, they are not. There's a relation between the determinant of ##A## and ##A^{-1}##, and I'll let you figure out what that is. You have probably seen it already.

You'll understand your proof more once you figure out that.
 
  • #5
Only relationship I know that involves A and Ainverse is that (A-1)-1 =A

is that the path you're leading me to?
 
  • #6
Mdhiggenz said:
Only relationship I know that involves A and Ainverse is that (A-1)-1 =A

is that the path you're leading me to?
det(AB) = det(A)det(B). What does this tell you if you put B = A-1?
 
  • #7
We would get det(A*A^-1) which equals 1
 
  • #8
Yes, it equals 1 but more importantly, you can split the det(A*A^-1) as jubunniii suggested.
 
  • #9
Still pretty confused on how that would show that the adj(adj(A))=A

Where would that relationship help with the proof?

Right now I know det(A)=1

1.A-1=adj(A)/det(A)

and 2. A=adj(A-1)/det(A-1)

From 1 and 2 I get A-1=adj(A)

and A=adj(A-1)

Here is where I get completely lost.
 
  • #10
Try manipulating the A^-1 and A formulas involving the adjoint in note #2 of the 2nd post in this thread. Then, take the adjoint of both sides of one formula and use the other formula to conclude that adj(adj(A)) = A. Remember that you're given det(A) = 1 which makes both formulas simple.
 
  • #11
I figured it out, it was pretty obvious haha what had to be done. Thanks
 

1. What is the purpose of this proof?

The purpose of this proof is to show that if the determinant of a square matrix A is equal to 1, then the adjugate of the adjugate of A is equal to A itself.

2. What is the significance of the determinant being equal to 1?

The determinant of a matrix is a value that represents the scaling factor of the transformation performed by the matrix. When the determinant is equal to 1, it means that the transformation does not change the volume or orientation of the space. This is an important property in many mathematical and scientific applications.

3. What is the adjugate of a matrix?

The adjugate of a square matrix is a matrix that is created by taking the transpose of the cofactor matrix of the original matrix. It is also known as the classical adjoint or adjoint matrix.

4. How does this proof relate to linear algebra?

This proof is related to linear algebra because it involves the properties of determinants, adjugates, and matrices. These concepts are fundamental in the study of linear transformations and systems of linear equations.

5. 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. The property of the adjugate of the adjugate being equal to the original matrix holds true for all square matrices, not just those with a determinant of 1.

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