How Does the Adjoint of a Linear Operator Work in Hilbert Spaces?

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The discussion focuses on proving properties of linear operators in Hilbert spaces, specifically the adjoint operator's relation: (\alpha A + B)^* = \overline{\alpha} A^* + B^*. The definition of the adjoint operator is established, leading to a proof attempt that shows the inner product equivalence necessary for the adjoint relationship. A key point raised is the importance of operators being bounded and defined everywhere in the Hilbert space, as this affects the reasoning used in proofs. The conversation also touches on the connection between boundedness, continuity, and the extension of operators in Hilbert spaces, referencing the BLT theorem. The discussion concludes with a consensus on the significance of these properties in the context of linear operators.
fluidistic
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Homework Statement


I must show several properties about linear operators using the definition of the adjoint operator.
A and B are linear operator and ##\alpha## is a complex number.
The first relation I must show is ##(\alpha A + B)^*=\overline \alpha A^*+B^*##.


Homework Equations


The definition I have an an adjoint is: ##A^*## is the adjoint of ##A## if ##\langle g,Af \rangle = \langle A^* g ,f \rangle## where f and g are any vectors in a Hilbert space.


The Attempt at a Solution


Let ##C^*=(\alpha A+B)^*##. Using the definition of adjoint I get: ##\langle C^*g,f \rangle=\langle g, Cf \rangle \Rightarrow \langle (\alpha A+B)^*g ,f \rangle =#### \langle g, (\alpha A+B)f \rangle =\langle g, \alpha A \cdot f \rangle + \langle g, Bf \rangle = \alpha \langle g, Af \rangle + \langle g ,Bf \rangle = \alpha \langle A^*g, f \rangle + \langle B^*g ,f \rangle##.
But I'm getting lost. I've no idea how I can obtain A, B, A^* and B^* using the definition of the adjoint.

Oh wait, on my draft I think I have finished the "proof". The last expression is worth ##\langle \overline \alpha A^*g ,f \rangle + \langle B^* g, f \rangle = \langle (\overline \alpha A^* + B^*)g ,f \rangle##. Then by associativity ##(\alpha A+B)^*=\overline \alpha A^* + B^*##.
Does this look right?
 
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OK, so you proved

<(\alpha A + B)^* g,f> = <(\overline{\alpha}A^* + B^*)g,f>

But how do you obtain from there that ##(\alpha A + B)^* = \overline{\alpha}A^* + B^*##?
 
micromass said:
OK, so you proved

<(\alpha A + B)^* g,f> = <(\overline{\alpha}A^* + B^*)g,f>

But how do you obtain from there that ##(\alpha A + B)^* = \overline{\alpha}A^* + B^*##?
Good question, I don't know. To simplify the notation I must show that if ##\langle Dg, f \rangle = \langle Eg,f \rangle## then D=E, where D and E are linear operators; for any inner product in a Hilbert space.
When I look at the definition of the inner product, I only see the positive definiteness, linearity and conjugate symmetry. I don't see how that would help me.
 
Something that I think would help is the axiom ##<x,x>=0## then ##x=0##. Because this is the only axiom that allows you to begin with the inner product and end with a statement about a vector.

Let's prove a more general thing. Let x,y be vectors such that ##<x,z> = <y,z>## holds for all z, then x=y.

To prove this, note that the above is equivalent to saying ##<x-y,z>=0## for all z. Does this give you a hint?
 
I'm not 100% sure.
Here is my attempt: ##\langle x ,z \rangle =\langle y, z \rangle## holds for all z.
I add "-y" in the first argument of each side (can I really do that without demonstrating that the equality still hold?) to get ##\langle x-y,z \rangle =\langle y-y ,z \rangle = \langle 0 ,z \rangle =0##
So that ##\langle x-y, z \rangle =0## must hold for all z. This implies that ##x-y=0##. End of proof.

P.S.:Yes I can add -y in the first argument of the inner product. To prove it is simple, using the linearity of the inner product.
 
fluidistic said:
So that ##\langle x-y, z \rangle =0## must hold for all z. This implies that ##x-y=0##.

This implication is not very clear. why does ##<x-y,z>=0## for all z imply that ##x-y=0##?
 
It is of utmost importance to mention that the operators are bounded and defined everywhere on the Hilbert space, else one needs a new reasoning.
 
micromass said:
This implication is not very clear. why does ##<x-y,z>=0## for all z imply that ##x-y=0##?

Because in particular ##z=x-y##. So we have ##\langle x-y , x-y \rangle =0##, which is possible if and only if ##x-y=0##. Thus ##x=y##. End of proof?
dextercioby said:
It is of utmost importance to mention that the operators are bounded and defined everywhere on the Hilbert space, else one needs a new reasoning.
Is is the same as showing that the operators are continuous over the whole Hilbert space?
 
fluidistic said:
Because in particular ##z=x-y##. So we have ##\langle x-y , x-y \rangle =0##, which is possible if and only if ##x-y=0##. Thus ##x=y##. End of proof?[...]

Yes, good point.

fluidistic said:
[...]Is is the same as showing that the operators are continuous over the whole Hilbert space?

No, continuity is an alternative assumption to boundedness, because for ∞-dim separable Hilbert spaces the 2 notions are equivalent.
 
  • #10
There is a connection between continuity (and equivalent: boundedness) and being everywhere defined.

A linear operator ##T:D\rightarrow H## is usually defined on a dense subset ##D## of the hilbert space ##H##. Now, it turns out that if ##T## is continuous on ##D##, then there exists a unique extension of ##T## on the entire Hilbert space H. This is called the BLT theorem (BLT = bounded linear transformation). So if ##T## is continuous on a dense subset, then we can make it everywhere defined.

If ##D## is not dense, then we can only extend ##T## on ##\overline{D}##.
 

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