Why Does the Domain Transform to Keep the Time Dependent Operator Self Adjoint?

In summary: He meant U(t)^+ D(A) instead of U(t)^+ D(H).In summary, the conversation discusses a statement about self-adjoint operators and their time-dependent transformations. The statement explains that if Operator A is self-adjoint on its domain D(A), then the time-dependent operator A(t) is also self-adjoint on its domain D(A(t)), which is equal to the transformation of D(A) by the unitary operator U(t). The conversation also addresses a typo in a book and provides a reference for further clarification.
  • #1
tommy01
40
0
Hi together ...

I encountered the following statement:
Operator A is self adjoint on D(A) then [tex]A(t) \equiv \exp(iHt) A \exp(-iHt)[/tex] is self adjoint on [tex]D(A(t)) \equiv \exp(-iHt) D(A)[/tex].

H is self adjoint, so that exp(...) is a unitary transformation. But why does the domain transform this way to keep the time dependent operator self adjoint? I don't get an expression like [tex](\Psi,A(t)\Phi)=(A(t)\Psi,\Phi) ~~~ \Psi, \Phi \in D(A(t))[/tex] if i use the definitions.

greetings.
 
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  • #2
Of course you don't get the last expression, because the "t" dependence on the vectors [itex] \Psi [/itex] and [itex] \Phi [/itex] is missing. With this <t> put into place, your expression should be

[tex] \left\langle U(t)\Psi, U(t)AU^{\dagger}(t) U(t)\Phi\right\rangle [/tex] which shows the needed invariance and s-a of the <evolved> operator.

The domain of the A(t) should be U(t)D(A), of course. The range of A(t) should be U(t) Range(A).

EDIT: Ammended by the post #4 of this thread below.
 
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  • #3
Thanks, but in the statement i quoted the domain of A(t) isn't U(t)D(A) but [tex]U(t)^+ D(A)[/tex] and then we have [tex](U(t)^+ \Psi, U(t)AU(t)^+ U(t)^+ \Phi)[/tex]. Is this a typo?
 
  • #4
The issue in post #1 is addressed by the Lemma 4.3, page 225 of E. Prugovecki's "Quantum Mechanics in Hilbert Space".
 
  • #5
Thanks a lot for the hint. So it was an error in the book. For the record: B. Thaller - The Dirac Equation. Section 1.2.2.

Greetings.
Tommy
 
  • #6
Please, see the screenshot attached. It's a small error by Thaller.
 

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FAQ: Why Does the Domain Transform to Keep the Time Dependent Operator Self Adjoint?

What is self-adjointness in mathematics?

Self-adjointness is a property of linear operators in mathematics. It means that the operator is equal to its own adjoint, or conjugate transpose. In simpler terms, it means that the operator is symmetric with respect to a certain inner product.

How is self-adjointness related to the concept of symmetry?

Self-adjointness is closely related to the mathematical concept of symmetry. This is because self-adjoint operators exhibit a certain type of symmetry, where the operator's behavior is the same regardless of whether it is applied to the original vector or its conjugate.

What is the domain of a self-adjoint operator?

The domain of a self-adjoint operator is the set of all vectors on which the operator is defined and for which the operator's adjoint exists. In other words, it is the set of all vectors that can be used as input for the operator.

How is the domain of a self-adjoint operator determined?

The domain of a self-adjoint operator is determined by considering the operator's properties and the space in which it operates. In general, the domain must be chosen carefully to ensure that the operator is well-defined and that its adjoint exists.

What are the applications of self-adjoint operators in science?

Self-adjoint operators have numerous applications in science, particularly in quantum mechanics, where they are used to represent physical observables such as energy and momentum. They are also used in other areas of mathematics and physics, such as differential equations, functional analysis, and spectral theory.

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