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Finite dimensionality of invisible spaces

PDF p. 11: Lemma 3.4 proof (i)

Statement

Assume the Axiom of Choice and hypothesis (H): n≥2, the nonempty compact obstacle Θ⊂Rn has smooth boundary, its exterior Ω=Rn∖Θ is connected, and Θ is non-trapping in the generalized-ray sense. Fix r>0 with Θ⊂Br(0) and an admissible pair of real cutoffs: φ∈C∞(Rn;[0,1]) vanishes for ∣x∣≤r, is positive for ∣x∣>r, and equals one for ∣x∣≥r+1; ψ∈Cc∞(Rn;[0,1]) equals one on Br+2(0) and has support in Br+3(0). Use this fixed φ in the invisible space NTσ and this fixed ψ in the remainder Qσ throughout. Let T>0 and σ∈[−2,2). The closed unit ball of the invisible space NTσ⊂HDσ(Ω) is compact in the norm of HDσ(Ω), and NTσ is finite-dimensional.

Facts & Assumptions

[F1]

The scale HDσ(Ω) is the completion in the norm induced by the shifted Dirichlet Laplacian; it is a complex Hilbert space, with an onto isometric identification with the underlying L2 Hilbert space supplied by the spectral-scale construction. Dirichlet spectral Sobolev scale and duality Positive spectral Hilbert scale: duality and interpolation

[F2]

With W(t)=eitΔD and the fixed real observation cutoff φ, NTσ consists of those v0∈HDσ for which φW(t)v0=0 for every t∈[0,T]. It is a closed complex linear subspace. Control region and nested real cutoffs Invisible initial-data spaces

[F3]

The nonnegative remainder Qσ is the squared time-space norm defined in Regularized lower-order observation remainder, using the fixed ψ of the Statement. Control region and nested real cutoffs Under the stated geometry and Choice, if xj⇀x weakly in HDσ, then Qσ(xj−x)→0. Weak convergence means convergence under every bounded scalar-linear functional. Lemma 3.2: compactness of the remainder Weak convergence notation in normed state spaces

[F4]

Under the same hypotheses and for this fixed pair φ,ψ, the observation estimate is ∥x∥HDσ2≤C(∫0T∥φW(t)x∥HDσ2dt+Qσ(x)) for all x∈HDσ, with C independent of x. Control region and nested real cutoffs Lemma 3.3: observability modulo a compact remainder

[F5]

Under Countable Choice every complex Hilbert space is reflexive; under the ultrafilter lemma, Dependent Choice and Hahn–Banach, every bounded sequence in a reflexive Banach space has a weakly convergent subsequence. The assumed Axiom of Choice supplies these principles. Hilbert spaces are reflexive Reflexivity is equivalent to weak subsequential compactness of bounded sequences The Axiom of Choice

Proof

[F1] The scale HDσ(Ω) is the completion in the norm induced by the shifted Dirichlet Laplacian; it is a complex Hilbert space, with an onto isometric identification with the underlying L2 Hilbert space supplied by the spectral-scale construction. Dirichlet spectral Sobolev scale and duality Positive spectral Hilbert scale: duality and interpolation

[F2] With W(t)=eitΔD and the fixed real observation cutoff φ, NTσ consists of those v0∈HDσ for which φW(t)v0=0 for every t∈[0,T]. It is a closed complex linear subspace. Control region and nested real cutoffs Invisible initial-data spaces

[F3] The nonnegative remainder Qσ is the squared time-space norm defined in Regularized lower-order observation remainder, using the fixed ψ of the Statement. Control region and nested real cutoffs Under the stated geometry and Choice, if xj⇀x weakly in HDσ, then Qσ(xj−x)→0. Weak convergence means convergence under every bounded scalar-linear functional. Lemma 3.2: compactness of the remainder Weak convergence notation in normed state spaces

[F4] Under the same hypotheses and for this fixed pair φ,ψ, the observation estimate is ∥x∥HDσ2≤C(∫0T∥φW(t)x∥HDσ2dt+Qσ(x)) for all x∈HDσ, with C independent of x. Control region and nested real cutoffs Lemma 3.3: observability modulo a compact remainder

[F5] Under Countable Choice every complex Hilbert space is reflexive; under the ultrafilter lemma, Dependent Choice and Hahn–Banach, every bounded sequence in a reflexive Banach space has a weakly convergent subsequence. The assumed Axiom of Choice supplies these principles. Hilbert spaces are reflexive Reflexivity is equivalent to weak subsequential compactness of bounded sequences The Axiom of Choice

Given: Choice, the geometry (H), the fixed admissible pair φ,ψ, T>0, and σ∈[−2,2) as in the Statement.

Goal: Prove compactness of the closed unit ball of NTσ and finite dimensionality of NTσ.

1.1F1F5given

Let (xj) be any sequence in that unit ball. It is bounded in the ambient Hilbert space HDσ. By reflexivity and weak subsequence compactness, after passing to a subsequence it converges weakly to some x∈HDσ. The difference sequence is weakly null.

2.1F2F3F4step 1.1

For any two indices j,k in this subsequence, linearity of NTσ makes xj−xk invisible. The observation term in F4 uses the same fixed φ as NTσ in F2 and therefore vanishes, giving ∥xj−xk∥HDσ2≤CQσ(xj−xk). Since Qσ is a squared norm of a linear image, its triangle inequality gives Qσ(xj−xk)1/2≤Qσ(xj−x)1/2+Qσ(xk−x)1/2. Both terms tend to zero by weak convergence and the compact-remainder lemma. Thus the subsequence is norm Cauchy.

3.1F1F2step 2.1

Completeness of HDσ gives a norm limit y. Norm convergence implies weak convergence by boundedness of every dual functional, so uniqueness of scalar limits gives y=x. Since NTσ is norm closed and every xj has norm at most one, x∈NTσ and ∥x∥HDσ≤1. Hence every sequence in the closed unit ball has a norm-convergent subsequence with limit in that ball.

4.1F6step 3.1∎

The norm induces a metric on the unit ball, so its sequential compactness implies compactness. With the inherited norm, NTσ is a normed space and this is its closed unit ball. The noncompactness criterion for an infinite-dimensional normed space therefore implies that NTσ is finite-dimensional.

Source notes

The original article is cited for attribution of the finite-dimensionality argument in the proof of Lemma 3.4, PDF page 11. The proof above uses the stated mathematical suppliers; it does not use the article's assertion as a premise.

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