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Integer resolvent commutator and localized first-order bounds

PDF p. 10: commutator identity and bounds in Lemma 3.3

Statement

Assume the Axiom of Choice. Let Ω=Rn∖Θ, n≥2, be the smooth connected exterior of a nonempty compact obstacle, and let φ,ψ be the real cutoffs of Control region and nested real cutoffs. Let ΔD be the Dirichlet Laplacian, A=I−ΔD, R=A−1, and HDs(Ω) the spectral scale of Dirichlet spectral Sobolev scale and duality. Write C=[Δ,φ] for the distributional first-order operator Cu=(Δφ)u+2∇φ⋅∇u=2div⁡(u∇φ)−(Δφ)u. It extends boundedly from L2(Ω) to HD−1(Ω) and from HD1(Ω) to L2(Ω), and, for 0≤α≤1, from HDα(Ω) to HDα−1(Ω). These extensions are consistent, and Cu=C(ψu) for u∈L2(Ω) and hence for u∈HDα(Ω), 0≤α≤1.

For −2≤σ<0, τ=σ+2, and v∈HDσ(Ω), put y=Rv and set ρ(σ)=σ+1 when −1<σ<0, and ρ(σ)=0 otherwise. Then, as an identity in HDτ(Ω), φRv−R(φv)=−RCRv, where Cy is regarded as an element of HDσ. Consequently there is a constant Cφ independent of v such that ∥φRv∥HDτ≤∥φv∥HDσ+Cφ∥ψRv∥HDρ(σ).

Facts & Assumptions

[F1]

The cutoffs are real and smooth, φ is constant outside a compact annulus, and ψ=1 on a neighborhood of supp⁡∇φ. Thus the derivatives of φ occurring below are bounded and compactly supported, and φ vanishes near the obstacle boundary. Control region and nested real cutoffs

[F2]

The Dirichlet realization has domain H2(Ω)∩H01(Ω). The scale has HD0=L2, HD1=H01, and HD2=D(A); HD−1 is the pivot antidual of HD1. The HD1 norm controls the L2 norms of a function and its first weak derivatives. Dirichlet Laplacian and positive shift Dirichlet spectral Sobolev scale and duality Complex integer-order Sobolev notation

[F3]

Under Choice, R:HDs→HDs+2 is an onto isometry. The spectral scale embeds contractively from a higher index to a lower one, has the stated dense common core, and admits the endpoint operator interpolation bound. Scale isometries and free Schrödinger evolution Positive spectral Hilbert scale: duality and interpolation Spectral cutoff cores and unitary identifications of completed scales The Axiom of Choice

[F4]

Multiplication by φ and ψ is bounded on each HDs for −2≤s≤2, consistently with ordinary multiplication on L2. Cutoff multipliers through order two and by duality

[F5]

Distributional derivatives are signed transposes of test-function derivatives on complex-linear distributions, with bilinear test pairing and no conjugation. In the pivot pairing below the distribution is evaluated at the conjugated test function. Distributional derivative

[F6]

The weak Leibniz rule applies on an arbitrary open set to a complex Hk=Wk,2 function and a smooth multiplier whose classical derivatives through order k are bounded, for k=1,2. Its Countable Choice assumption follows here by applying the assumed Axiom of Choice to the family of values of a sequence of nonempty sets and composing the resulting choice function with that sequence. Weak Leibniz rule with a smooth factor The Axiom of Choice

[F7]

Under Countable Choice, a locally integrable complex function determines its regular distribution by Tu(η)=∫Ωuη, depending only on its almost-everywhere class. The Countable Choice needed here follows from the existing Choice assumption as explained in [F6]. Locally integrable functions as regular distributions The Axiom of Choice

[F8]

For a smooth complex multiplier a and any complex distribution T, multiplication is defined by (aT)(η)=T(aη), with no conjugation. The distributional Leibniz rule holds for every multi-index on any open set, without a choice assumption. Multiplication of a distribution by a smooth function Leibniz rule for distributions

Proof

[F1] The cutoffs are real and smooth, φ is constant outside a compact annulus, and ψ=1 on a neighborhood of supp⁡∇φ. Thus the derivatives of φ occurring below are bounded and compactly supported, and φ vanishes near the obstacle boundary. Control region and nested real cutoffs

[F2] The Dirichlet realization has domain H2(Ω)∩H01(Ω). The scale has HD0=L2, HD1=H01, and HD2=D(A); HD−1 is the pivot antidual of HD1. The HD1 norm controls the L2 norms of a function and its first weak derivatives. Dirichlet Laplacian and positive shift Dirichlet spectral Sobolev scale and duality Complex integer-order Sobolev notation

[F3] Under Choice, R:HDs→HDs+2 is an onto isometry. The spectral scale embeds contractively from a higher index to a lower one, has the stated dense common core, and admits the endpoint operator interpolation bound. Scale isometries and free Schrödinger evolution Positive spectral Hilbert scale: duality and interpolation Spectral cutoff cores and unitary identifications of completed scales The Axiom of Choice

[F4] Multiplication by φ and ψ is bounded on each HDs for −2≤s≤2, consistently with ordinary multiplication on L2. Cutoff multipliers through order two and by duality

[F5] Distributional derivatives are signed transposes of test-function derivatives on complex-linear distributions, with bilinear test pairing and no conjugation. In the pivot pairing below the distribution is evaluated at the conjugated test function. Distributional derivative

[F6] The weak Leibniz rule applies on an arbitrary open set to a complex Hk=Wk,2 function and a smooth multiplier whose classical derivatives through order k are bounded, for k=1,2. Its Countable Choice assumption follows here by applying the assumed Axiom of Choice to the family of values of a sequence of nonempty sets and composing the resulting choice function with that sequence. Weak Leibniz rule with a smooth factor The Axiom of Choice

[F7] Under Countable Choice, a locally integrable complex function determines its regular distribution by Tu(η)=∫Ωuη, depending only on its almost-everywhere class. The Countable Choice needed here follows from the existing Choice assumption as explained in [F6]. Locally integrable functions as regular distributions The Axiom of Choice

[F8] For a smooth complex multiplier a and any complex distribution T, multiplication is defined by (aT)(η)=T(aη), with no conjugation. The distributional Leibniz rule holds for every multi-index on any open set, without a choice assumption. Multiplication of a distribution by a smooth function Leibniz rule for distributions

Given: The geometry, cutoffs, Choice assumption, scale, and indices in the Statement.

Goal: Establish the commutator extensions, localization, resolvent identity, and estimate.

1.1F1F2F5F6F7F8

For u∈L2, Cauchy–Schwarz gives ∫K∣u∣≤∣K∣1/2∥u∥2 for every compact K⊂Ω, so u∈Lloc1 and [F7] identifies it with a regular distribution. Smooth multiplication in [F8] agrees with pointwise multiplication on such distributions, since (aTu)(η)=∫Ωuaη=Tau(η). Apply the distributional Leibniz rule in [F8] with a=φ and α=2ej in each coordinate: ∂j2(φu)−φ∂j2u=(∂j2φ)u+2(∂jφ)∂ju. Apply its first-order case also to (∂jφ)u and sum over j. These finite identities give Δ(φu)−φΔu=(Δφ)u+2∇φ⋅∇u=2div⁡(u∇φ)−(Δφ)u in distributions. Thus defining Cu by this divergence expression using [F5] gives exactly [Δ,φ]u, even when u has no L2 derivatives. For ζ∈Cc∞(Ω) its pivot pairing is −2∫Ωu∇φ⋅∇ζ‾−∫Ω(Δφ)uζ‾. Cauchy–Schwarz and boundedness of the coefficients bound its absolute value by a constant times ∥u∥2∥ζ∥HD1. Density of test functions in H01 therefore defines a bounded antidual element Cu∈HD−1. For u∈HD1=H01, apply [F6] with k=1 and the smooth multipliers ∂jφ, whose derivatives through order one are bounded by [F1]. Summing the resulting identities gives the first displayed expression and its L2 norm is bounded by a constant times ∥u∥HD1. The two definitions agree as distributions, hence as pivot-antidual elements.

2.1F1F3F4F5step 1.1

Apply the scale operator interpolation bound to these consistent endpoint maps. The intermediate indices are α and α−1, yielding the asserted bounds for 0<α<1; the endpoints are step 1.1. Since ψ=1 on a neighborhood of the support of ∇φ, the functions (1−ψ)∇φ and (1−ψ)Δφ vanish, and also ∇ψ vanishes on the support of ∇φ. The divergence formula then gives Cu=C(ψu) for u∈L2 in distributions. It follows at every stated nonnegative scale level by consistency of the embeddings and extensions.

2.2F1F2F3F6step 1.1

For v∈L2, let y=Rv∈D(A). Apply [F6] with k=2, u=y∈H2 and η=φ; [F1] supplies every required bounded classical derivative, including φ itself. This gives φy∈H2 and its weak Laplacian formula; approximation in H01 by compactly supported smooth functions shows φy∈H01. Thus φy∈D(A) and A(φy)=φAy−Cy in L2. Applying R gives φRv−R(φv)=−RCRv. Here Cy∈L2 by step 1.1.

3.1F3F4step 1.1step 2.1step 2.2∎

Let −2≤σ<0. If τ≤1, then y∈HDτ⊂L2, and steps 1.1 and 2.1 give ∥Cy∥HDσ≤∥Cy∥HD−1≤C∥ψy∥2, because σ≤−1. If 1<τ<2, put α=τ−1=ρ(σ). Then y∈HDα and interpolation and localization give ∥Cy∥HDσ≤C∥ψy∥HDα because α−1=σ. These estimates also show that CR:HDσ→HDσ is bounded. The common spectral core lies in L2 and is dense in HDσ; the multiplier and resolvent maps on both sides of step 2.2 are bounded on the required levels. Passing to the limit proves the identity in HDτ. Finally, use the triangle inequality, the isometry R:HDσ→HDτ, and the preceding bounds for Cy. This proves the displayed estimate.

Source notes

The article is cited for attribution of the commutator identity and its application in the proof of Lemma 3.3, PDF page 10. The argument above uses the stated mathematical suppliers and does not use the article as proof of itself.

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