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Heisenberg flow of a bounded operator: conjugates, covariance and the equation of motion

Statement

Assume the Axiom of Choice and the Axiom of Countable Choice (The Axiom of Choice, The Axiom of Countable Choice (ACω)). Let H≠{0} be a complex Hilbert space (Hilbert space), let T be self-adjoint (Symmetric, self-adjoint and essentially self-adjoint operators) and U(t)=eitT as in Flow calculus of a self-adjoint generator: commutation, invariance and differentiability; for A∈B(H) (A bounded linear operator between normed spaces) put A(t):=U(t)∗AU(t)=U(−t)AU(t)(t∈R). Then:

(a) A(t)∈B(H) with A(0)=A, ∥A(t)∥=∥A∥ (The operator norm as the least bound and as the unit-sphere or unit-ball supremum) and A(t)∗=A∗(t); in particular A self-adjoint implies every A(t) self-adjoint (Self-adjoint, positive, unitary and normal operators). Moreover A(t+s)=U(s)∗A(t)U(s) for all s,t.

(b) If A D(T)⊆D(T), then A(t)D(T)⊆D(T) for every t, and for every x∈D(T) the map t↦A(t)x is differentiable at every t with ddtA(t)x=−i [T,A(t)]x=−i(TA(t)−A(t)T)x.

(c) For every x∈H the map t↦A(t)x is continuous, and the uniform operator norm bound ∥A(t)∥≤∥A∥ holds.

(d) If A is self-adjoint with spectral projection-valued measure EA (Spectral theorem for unbounded self-adjoint operators (PVM form)), then every A(t) is self-adjoint with spectral projection-valued measure EA(t)(B)=U(−t)EA(B)U(t)(B⊆R Borel), and the spectra agree, σ(A(t))=σ(A).

Facts & Assumptions

Given: The Axiom of Choice and the Axiom of Countable Choice; a nonzero complex Hilbert space H; a self-adjoint operator T with flow U(t)=eitT; a bounded operator A∈B(H); vectors x∈H; real s,t.

[F1]

Flow calculus. U is a strongly continuous one-parameter unitary group with U(t)∗=U(−t), U(t)D(T)=D(T), TU(t)=U(t)T on D(T), and for bounded Borel h one has h(T)U(t)=U(t)h(T); for x∈D(T) the map t↦U(t)x is differentiable with derivative iU(t)Tx (Flow calculus of a self-adjoint generator: commutation, invariance and differentiability clause (a)-(c)).

[F2]

Adjoints and norms. For B,C,D∈B(H) one has (BCD)∗=D∗C∗B∗, ∥BCD∥≤∥B∥ ∥C∥ ∥D∥ and ∥B∗∥=∥B∥; each U(t) is unitary, so ∥U(−t)BU(t)∥=∥B∥ and U(t)∗=U(−t) (Hilbert-adjoint identities, The Hilbert-space adjoint of a bounded operator, The operator norm as the least bound and as the unit-sphere or unit-ball supremum, Self-adjoint, positive, unitary and normal operators).

[F3]

Bounded calculus under unitary conjugation. Let E be a PVM on the Borel sets of R of a self-adjoint operator and W unitary. Then B↦WE(B)W∗ is a regular PVM whose scalar measure in x is EW∗x, and for bounded Borel f one has ΦWE(⋅)W∗(f)=WΦE(f)W∗ (Projection valued measure, Bounded borel pvm integral, Pvm integral is a star homomorphism).

[F4]

Truncation definition and uniqueness. For a PVM E and measurable f one has f(E)x=lim⁡nΦE(f1{∣f∣≤n})x for x∈D(f(E)); for bounded self-adjoint operators the representing regular PVM is unique (Integral of a measurable function against a projection-valued measure, Unbounded Borel functional calculus: domains, products, spectral mapping, Spectral theorem for unbounded self-adjoint operators (PVM form)).

Proof

technique · direct; conjugate the flow properties of [Flow calculus of a self-adjoint generator: commutation, invariance and differentiability](/physics/item/lem-nrqm-autonomous-dynamics-flow-calculus) by bounded operators, with the product-domain hypothesis used only where the differential equation is asserted

Given: The data of the statement, and [F1]-[F4].

1.1givenF1F2algebra

[Boundedness, norm and adjoint] A(t)=U(−t)AU(t) is a product of bounded operators, so bounded, and A(0)=A; by [F2], ∥A(t)∥=∥A∥ and A(t)∗=U(t)∗A∗U(−t)∗=U(−t)A∗U(t)=A∗(t); hence A self-adjoint implies A(t) self-adjoint. For the covariance, A(t+s)=U(−t−s)AU(t+s)=U(s)∗U(−t)AU(t)U(s)=U(s)∗A(t)U(s) by the group law. This is (a).

1.2givenF1

[Time-invariance of the product-domain hypothesis] Assume A D(T)⊆D(T). For y∈D(T) one has U(t)y∈D(T) by [F1], then AU(t)y∈D(T) by hypothesis, and finally U(−t)AU(t)y∈D(T) by [F1] again; thus A(t)y=U(−t)AU(t)y∈D(T).

1.3givenF1F3F4

[Conjugation of the spectral measure] Assume A self-adjoint with spectral PVM EA. Fix t and put E′(B):=U(−t)EA(B)U(t). Then E′ is a PVM: each E′(B) is an orthogonal projection because U(−t)=U(t)∗ is unitary and EA(B) is an orthogonal projection; E′(∅)=0, E′(R)=I; and for pairwise disjoint Borel Bn with union B, the strong countable additivity of EA gives ∑nE′(Bn)x=U(−t)(∑nEA(Bn)U(t)x)→U(−t)EA(B)U(t)x=E′(B)x because U(−t) is bounded. It is regular because its scalar measure in x is Ex′(B)=∥E′(B)x∥2=⟨U(−t)EA(B)U(t)x,x⟩=⟨EA(B)U(t)x,U(t)x⟩=EA,U(t)x(B), a regular Borel measure.

2.1givenstep 1.1F1F2algebra

[Strong continuity] For x∈H, A(t)x−A(s)x=U(−t)A(U(t)−U(s))x+(U(−t)−U(−s))AU(s)x, and both terms tend to 0 as t→s because U is strongly continuous and A is bounded; the norm bound is step 1.1. This is (c).

2.2givenstep 1.2F1algebra

[Equation of motion] Assume A D(T)⊆D(T) and let x∈D(T). Decompose A(t+s)x−A(t)x=U(−t−s)A(U(t+s)x−U(t)x)+(U(−t−s)−U(−t))AU(t)x; the first term divided by s equals U(−t−s)A1s(U(t+s)x−U(t)x), and 1s(U(t+s)x−U(t)x)→iU(t)Tx by [F1], so it tends to iU(−t)AU(t)Tx=iA(t)Tx. For the second term, y:=AU(t)x lies in D(T) by step 1.2, and 1s(U(−s)y−y)→−iTy by [F1] applied at 0 to the group s↦U(−s); hence the second term divided by s equals U(−t)1s(U(−s)y−y)→−iU(−t)Ty=−iTU(−t)y=−iTA(t)x, using the commutation TU(−t)=U(−t)T on D(T) from [F1]. Adding the two limits gives ddtA(t)x=iA(t)Tx−iTA(t)x=−i(TA(t)−A(t)T)x. This is (b).

2.3givenstep 1.3F3F4algebra

[Identification as the spectral measure of A(t)] With E′ as in step 1.3, [F3] gives ΦE′(g)=U(−t)ΦEA(g)U(t) for bounded Borel g: the identity holds for indicators by definition of E′, extends to simple functions by linearity, and passes to uniform limits by the norm estimate of Bounded borel pvm integral clause 1. Applying the truncation definition [F4] with gn(λ)=λ1{∣λ∣≤n} and x∈H (the domain is all of H because A is bounded) gives ∫λ dE′(λ)x=lim⁡nΦE′(gn)x=lim⁡nU(−t)ΦEA(gn)U(t)x=U(−t)(∫λ dEA(λ))U(t)x=U(−t)AU(t)x=A(t)x, where the middle limit is interchanged with the bounded operator U(−t) and ∫λ dEA(λ)=A is the spectral representation of the bounded self-adjoint A. Hence E′ represents the bounded self-adjoint A(t), and by uniqueness [F4] it is the spectral PVM of A(t).

3.1givenstep 2.3F4

[Spectra] For a self-adjoint operator with spectral PVM F, the spectrum consists of the points λ with F((λ−ε,λ+ε))≠0 for every ε>0 (Unbounded Borel functional calculus: domains, products, spectral mapping clause 4 with f the identity). By step 2.3, EA(t)((λ−ε,λ+ε))=U(−t)EA((λ−ε,λ+ε))U(t) is nonzero exactly when EA((λ−ε,λ+ε)) is; hence σ(A(t))=σ(A).

4.1step 1.1step 2.1step 1.2step 2.2step 1.3step 2.3step 3.1∎

Steps 1.1, 2.1, 1.2, 2.2, 1.3, 2.3 and 3.1 prove (a)-(d).

Remarks

  • Where the hypothesis is needed. Clauses (a) and (c) require nothing beyond boundedness of A; clause (b), and with it the Heisenberg equation, uses the product-domain hypothesis A D(T)⊆D(T), which is exactly the condition under which the differentiated products are defined. A bounded observable whose spectral PVM commutes with that of T satisfies the hypothesis trivially, because then A maps every D(h(T)) into itself.
  • Transported measurable functional calculus. Step 2.3 shows more than the statement of (d): for every bounded Borel g the operator g(A(t)) equals U(−t)g(A)U(t); this is the operator form of the statement that the unitary flow is an automorphism of the algebra of bounded Borel functions of the observable.

Depends on

Dependency tree · 2 levels

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