Adjoint of an operator definition

In summary: But yes, this is correct. So the adjoint is really just a bilinear form.This is correct. The adjoint is a bilinear form.
  • #1
jostpuur
2,116
19
When my lecture notes discuss the adjoint of an operator in Banach spaces, it is defined like this. The adjoint of an operator

[tex]T:X\to Y[/tex]

is an operator

[tex]T^*:Y^*\to X^*[/tex]

so that for all [itex]f\in Y^*[/itex] and [itex]x\in X[/itex]

[tex](T^* f)(x) = f(T x)[/tex].

But we get into Hilbert spaces, it is said to be given by the equation

[tex](Tf|g) = (f|T^*g)[/tex]

The Hilbert space is also a Banach space, so these definitions seem to be contradicting.

In fact my lecture notes are unfortunately messy. I cannot tell for sure what precisely are the definitions, but this is what it says, approximately. Any major misunderstandings could be pointed out. I can conclude that I'm understanding something wrong, because I'm not understanding what the adjoint really is.
 
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  • #2
Don't forget for a Hilbert space H, we have the natural isomorphism

[tex]H \cong \left(H^*\right)^*.[/tex]

Because of this, it is common to silently substitute back and forth between elements of H and the corresponding linear functional on [itex]H^*[/itex]. Or equivalently, to drop the functional notion altogether and instead use the bra-ket product instead.

(You didn't say exactly what you found contradictory, so I have to guess)
 
  • #3
Ooh... I was so close...
 
  • #4
By the way... I was assuming by (Tf | g) you were using the bra-ket notation: you meant that [itex]f \in H^*[/itex] and [itex]g \in H[/itex].

Were they supposed to both be in H, and this notation mean the inner product?
 
  • #5
Hurkyl said:
By the way... I was assuming by (Tf | g) you were using the bra-ket notation: you meant that [itex]f \in H^*[/itex] and [itex]g \in H[/itex].

Were they supposed to both be in H, and this notation mean the inner product?

Yes it was an inner product between two vectors f and g of some Hilbert space H. T was an operator T:H->H.

Mentioning the Riesz's representation theorem in this context would have been enough. I couldn't make the connection. It could be I'm too tired, also... but that could be an excuse. Although I am tired, actually...
 
  • #6
It's also worth noting that the form for general Banach spaces [tex](\cdot|\cdot)[/tex] is bilinear while for Hilbert Spaces it's taken as sequilinear. This does lead to small differences. For example, in a general Banach space, [tex]\sigma(T) = \sigma(T^*)[/tex] while for a Hilbert space, [tex]\sigma(T) = \sigma(T^*)^*[/tex] (where the second "*" denotes complex conjugation).
 
  • #7
cogito² said:
It's also worth noting that the form for general Banach spaces [tex](\cdot|\cdot)[/tex] is bilinear while for Hilbert Spaces it's taken as sequilinear.
Could you clarify? The Banach space structure doesn't include an inner product. And if a complex Banach space happened to be a inner product space, then the definition of inner product space says the inner product must be sesquilinear.
 
  • #8
Well it's not an inner product. It's the bilinear form

[tex]( \cdot | \cdot ) : X \times X^* \to \mathbb{C}[/tex]​

given by

[tex](x, \phi) \mapsto \phi(x)[/tex].​

In that notation, the adjoint condition on Banach spaces is given exactly by what the original poster said (except now the form is bilinear and not sesquilinear):

[tex](T^* \phi)(x) = (x,T^*\phi) = (Tx,\phi) = \phi(T x).[/tex]​

So this rephrases the adjoint condition in familiar language:

[tex](x,T^*\phi) = (Tx,\phi).[/tex]​

But since this form is bilinear in Banach spaces and the form of Hilbert spaces is sequilinear, it shows that the definition of adjoint is actually slightly different in Hilbert spaces as opposed to Banach spaces (i.e. the adjoint in a Hilbert space is not the same as the one you get when you consider the Hilbert spaces as Banach spaces). You get this pesky complex-conjugation going on with the identification of [tex]H^*[/tex] with [tex]H[/tex]. Actually Hilbert spaces could be studied with the form of Banach spaces and you really wouldn't lose anything, except that you'd have to deal with the complex conjugation in other places in the theory. But the sesquilinear approach is entrenched and there's not getting rid of that.
 
  • #9
Fortunately, the bra-ket product is bilinear too! (And it should be, since it's semantically the same thing as you wrote! Except with the two factors reversed)

[tex]
(a \langle \phi |) | \psi \rangle
=
\langle \phi | (a | \psi \rangle
=
a \langle \phi | \psi \rangle
[/tex]

The only oddity arises, as you mention, when you reinterpret as an inner product, because transposition is conjugate-linear:

[tex]
(a |\psi \rangle)^* = \bar{a} \langle \psi |
[/tex]

I guess I never really think of it because I essentially never think of Hilbert space arithmetic in terms of the inner product. I always think of the product as multiplying forms with vectors.
 
Last edited:

1. What is the definition of the adjoint of an operator?

The adjoint of an operator is a mathematical concept used in linear algebra and functional analysis. It is defined as the operator that satisfies a specific property when applied to a pair of vectors, known as the inner product. This property is known as the adjointness property and is crucial in understanding the behavior of operators in vector spaces.

2. How is the adjoint of an operator related to the concept of adjointness?

The concept of adjointness is directly related to the definition of the adjoint of an operator. This property states that the adjoint of an operator, when applied to a pair of vectors, produces the same result as the inner product of the original vectors. In other words, the adjoint of an operator can be thought of as the 'transpose' of the original operator in terms of its effect on the inner product of vectors.

3. Can all operators have an adjoint?

No, not all operators have an adjoint. For an operator to have an adjoint, it must be defined on a vector space with an inner product structure. Additionally, the operator must be a linear and bounded operator. If these conditions are not met, then the operator will not have an adjoint.

4. What is the significance of the adjoint of an operator?

The adjoint of an operator has several important applications in mathematics and physics. It is used in the study of differential equations, quantum mechanics, and signal processing. It also plays a crucial role in understanding the properties of self-adjoint operators, which are important in the spectral theory of linear operators.

5. How is the adjoint of an operator computed?

The computation of the adjoint of an operator depends on the specific operator and vector space involved. In general, the adjoint of an operator can be found by manipulating the operator's matrix representation or by applying certain transformation rules. In some cases, the adjoint of an operator can also be found by solving a system of linear equations. However, the specific method of computation may vary depending on the application and context.

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