Proving the Bi-Implication of Inner Product and Norm in Linear Operators

In summary: Then why did you ask if you knew that part?What you have as a proof doesn't look like you used the polar identity.
  • #1
Shackleford
1,656
2
I don't know how to start this problem. Since it's a bi-implication, I need to show each statement implies the other. I started playing around with the definitions of inner product and norm directly, but it's not going anywhere.

http://i111.photobucket.com/albums/n149/camarolt4z28/IMG_20120225_142910.jpg

http://i111.photobucket.com/albums/n149/camarolt4z28/IMG_20120225_142929.jpg

If I expand the inner product on the right,

<T(x),T(y)> = (2/4)<T(x),T(y)> + (2/4)<T(y),T(x)> = <x,y>.

Of course,

[itex]\|\vec{T(x)}\| = \sqrt{<T(x),T(x)>} = \sqrt{<x,x>}[/itex].
 
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  • #2
Shackleford said:
I don't know how to start this problem. Since it's a bi-implication, I need to show each statement implies the other. I started playing around with the definitions of inner product and norm directly, but it's not going anywhere.

http://i111.photobucket.com/albums/n149/camarolt4z28/IMG_20120225_142910.jpg

http://i111.photobucket.com/albums/n149/camarolt4z28/IMG_20120225_142929.jpg

If I expand the inner product on the right,

<T(x),T(y)> = (2/4)<T(x),T(y)> + (2/4)<T(y),T(x)> = <x,y>.

Look up isometries it should help you with this problem.
 
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  • #3
fauboca said:
Look up isometries it should help you with this problem.

Two sections ahead in the book they talk about isometry and list the two implications in a theorem.
 
  • #4
<x,y> = <T*T(x),y> = <T(x),T**y> = <T(x),T(y)>

<x,x> = <T*T(x),x> = <T(x),T**x> = <T(x),T(x)> = [itex]\|\vec{T(x)}\|^{2}[/itex].
 
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  • #5
What do you mean by T*?
 
  • #6
Here is a hint:

[itex]\langle T(x),T(y)\rangle = \frac{1}{4}\left(||T(x)+T(y)||^2-||T(x)-T(y)||^2\right)=\cdots[/itex]

That is by the polarization identity.
 
  • #7
fauboca said:
Here is a hint:

[itex]\langle T(x),T(y)\rangle = \frac{1}{4}\left(||T(x)+T(y)||^2-||T(x)-T(y)||^2\right)=\cdots[/itex]

That is by the polarization identity.

I already wrote that out.

<T(x),T(y)> = (2/4)<T(x),T(y)> + (2/4)<T(y),T(x)> = <x,y>.

The <T(x),T(x)> and <T(y),T(y)> terms cancel.
 
  • #8
alanlu said:
What do you mean by T*?

T adjoint.
 
  • #9
Shackleford said:
I already wrote that out.

<T(x),T(y)> = (2/4)<T(x),T(y)> + (2/4)<T(y),T(x)> = <x,y>.

The <T(x),T(x)> and <T(y),T(y)> terms cancel.

If you use the polar identity, your next step should be

[tex]\frac{1}{4}\left(||T(x+y)||^2-||T(x-y)||^2\right)[/tex]

[tex]=\frac{1}{4}\left(||x+y||^2-||x-y||^2\right)=\langle x,y\rangle[/tex]
 
  • #10
fauboca said:
If you use the polar identity, your next step should be

[tex]\frac{1}{4}\left(||T(x+y)||^2-||T(x-y)||^2\right)[/tex]

[tex]=\frac{1}{4}\left(||x+y||^2-||x-y||^2\right)=\langle x,y\rangle[/tex]

How did you get to the second line from the first one, specifically T(x+y) = (x+y)? It looks like you used the left statement in the problem to do that.

In that last line, if you set x = y, then it looks like you get the relation you want.
 
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  • #11
Shackleford said:
How did you get to the second line from the first one, specifically T(x+y) = (x+y)? It looks like you used the left statement in the problem to do that.

In that last line, if you set x = y, then it looks like you get the relation you want.

Your question says, "Let T be a linear operator..." What does that mean?
 
  • #12
fauboca said:
Your question says, "Let T be a linear operator..." What does that mean?

T(cx + y) = cT(x) + T(y).

The transformation disappeared. I'm wondering where it went there. You went from the norm squared of T(x+y) to the norm squared of just (x+y). If you use the first property listed, then it makes sense to me.
 
  • #13
Shackleford said:
T(cx + y) = cT(x) + T(y).

The transformation disappeared. I'm wondering where it went there. You went from the norm squared of T(x+y) to the norm squared of just (x+y).

Because once you prove ||T(x)|| = ||x||, what does ||T(x+y)|| = ??
 
  • #14
fauboca said:
Because once you prove ||T(x)|| = ||x||, what does ||T(x+y)|| = ??

That's what I just said twice. In order to make the step you did, you have to use that property. I suppose that satisfies the iff in the proposition.
 
  • #15
Shackleford said:
That's what I just said twice. In order to make the step you did, you have to use that property. I suppose that satisfies the iff in the proposition.

Then why did you ask if you knew that part?

What you have as a proof doesn't look like you used the polar identity. I am not really sure what you have done to claim <T(x),T(y)>=<x,y>
 
  • #16
suppose <T(x),T(y)> = <x,y> for all x and y. what happens when x = y?

on the other hand, suppose ||T(x)|| = ||x|| for all x.

what happens when you use x+y and x-y instead of x?
 
  • #17
fauboca said:
Then why did you ask if you knew that part?

What you have as a proof doesn't look like you used the polar identity. I am not really sure what you have done to claim <T(x),T(y)>=<x,y>

I just wanted to be sure. I wasn't getting anywhere with my work.
 
  • #18
Deveno said:
suppose <T(x),T(y)> = <x,y> for all x and y. what happens when x = y?

on the other hand, suppose ||T(x)|| = ||x|| for all x.

what happens when you use x+y and x-y instead of x?

For <T(x),T(y)> = <x,y>, if x = y, you can get the norm squared of x.

I thought we already already plugged in x+y and x-y.

<T(x+y),T(x+y)> = <T(x),T(x)> + <T(y),T(y)> + <T(x),T(y)> + <T(y),T(x)>

<T(x-y),T(x-y)> = <T(x),T(x)> + <T(y),T(y)> - <T(x),T(y)> - <T(y),T(x)>
 
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  • #19
Okay, guys, I think I have figured it out. I'll finish it up on my paper and be finished with this assignment. Thanks for the help.
 

1. What is the adjoint of a linear operator?

The adjoint of a linear operator is a mathematical concept that is used to find the transpose of a linear operator. It is also known as the Hermitian adjoint or conjugate transpose. The adjoint of a linear operator is denoted by the symbol A* and is defined as the linear operator that satisfies the inner product property, where = for all vectors x and y in the vector space.

2. How is the adjoint of a linear operator calculated?

The adjoint of a linear operator can be calculated using the following steps:

  1. Find the transpose of the matrix representation of the linear operator.
  2. Take the complex conjugate of each element in the matrix.
  3. Transpose the resulting matrix again.
  4. The resulting matrix is the adjoint of the linear operator.

3. What is the significance of the adjoint of a linear operator?

The adjoint of a linear operator is important because it allows us to find the transpose of a linear operator in a vector space. This is useful in various mathematical applications, including solving systems of linear equations, calculating eigenvalues and eigenvectors, and in quantum mechanics. It also has applications in signal processing and control theory.

4. How is the adjoint of a linear operator related to the inverse of a linear operator?

The adjoint of a linear operator is closely related to the inverse of a linear operator. If a linear operator A is invertible, then its inverse A^-1 is equal to its adjoint A*. In other words, if A is a square matrix, then A* = A^-1. This relationship is known as the adjoint-inverse relationship.

5. Can the adjoint of a linear operator be non-linear?

No, the adjoint of a linear operator is always a linear operator. This is because the adjoint operator preserves linearity, meaning that if the original operator is linear, then its adjoint will also be linear. However, the adjoint of a non-linear operator can exist in certain cases, such as when the operator is differentiable. In these cases, the adjoint may not be linear, but it will still satisfy the inner product property.

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