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Actual PBPS reflected resolvent: localized complex Sobolev

AutoSamplingTheory.ExampleCases.ProximalBPS.ConditionalLocalizedSobolev.conditional_localized_sobolev · theorem · Teaching coverage

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Mathematical statement

Construct genuine common R/S and original fiber D_y before epsilon/f; choose ONE actual u before ALL C2 compact cutoffs. Retain all-domain variational identity, ordinary locally integrable u/G, all C1 compact directional weak-gradient tests, locally integrable squared r=epsilon*u+inner(grad W_y,G)-f, compact-volume L2 of u/G/r and all original C2 compact distribution tests. For every C2 compact chi retain v=chi*u, Gchi=chi*G+u*grad chi, Fchi=chi*r+2 inner(grad chi,G)+u Delta chi, all three global-volume L2/support inclusions, all C1 localized weak-gradient and C2 localized PDE identities with legal products. For each cutoff, Construct actual vc,Fc in complex L2(volume), with vc=volume-a.e. ofReal(v) and Fc=volume-a.e. ofReal(Fchi). For every complex Schwartz psi, both (Delta psi)*ofReal(v) and psi*ofReal(Fchi) are L1 and their integrals equal. For T_v=Lp.toTemperedDistribution(vc) and T_F=Lp.toTemperedDistribution(Fc), derive Delta T_v=T_F and MemSobolev 2 2 T_v. The latter uses B2 T=T-(2pi)^(-2) Delta T and a genuine complex L2 witness, not a supplied regularity result. Reflected/RGO laws/operators/quarter Hessian and Dirichlet scales remain distinct.

\[\exists R,S\ \forall y\ \exists D_y\ \forall\varepsilon>0,f\ \exists u\ \forall\chi\in C_c^2\ \exists v_C,F_C:\quad v=\chi u,\ F_\chi=\chi r+2\langle\nabla\chi,G\rangle+u\Delta\chi,\quad\Delta T_v=T_{F_\chi},\quad\mathrm{MemSobolev}\ 2\ 2\ T_v.\]
Lean statement · conditional_localized_sobolev

Construct genuine common R/S and original fiber D_y before epsilon/f; choose ONE actual u before ALL C2 compact cutoffs. Retain all-domain variational identity, ordinary locally integrable u/G, all C1 compact directional weak-gradient tests, locally integrable squared r=epsilon*u+inner(grad W_y,G)-f, compact-volume L2 of u/G/r and all original C2 compact distribution tests. For every C2 compact chi retain v=chi*u, Gchi=chi*G+u*grad chi, Fchi=chi*r+2 inner(grad chi,G)+u Delta chi, all three global-volume L2/support inclusions, all C1 localized weak-gradient and C2 localized PDE identities with legal products. For each cutoff, Construct actual vc,Fc in complex L2(volume), with vc=volume-a.e. ofReal(v) and Fc=volume-a.e. ofReal(Fchi). For every complex Schwartz psi, both (Delta psi)*ofReal(v) and psi*ofReal(Fchi) are L1 and their integrals equal. For T_v=Lp.toTemperedDistribution(vc) and T_F=Lp.toTemperedDistribution(Fc), derive Delta T_v=T_F and MemSobolev 2 2 T_v. The latter uses B2 T=T-(2pi)^(-2) Delta T and a genuine complex L2 witness, not a supplied regularity result. Reflected/RGO laws/operators/quarter Hessian and Dirichlet scales remain distinct.

Braces mark parameters Lean can infer; square brackets request structures such as a measurable space or probability measure. Named hypotheses are mathematical premises, not facts established by this declaration. Section parameters are described in the mathematical hypotheses above; the module link retains their exact source context.

theorem conditional_localized_sobolev {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
    [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
    {V : E → ℝ} {α β : NNReal} {η : ℝ}
    (hα : 0 < (α:ℝ)) (hαβ : α ≤ β) (hV : ContDiff ℝ 2 V)
    (hH : ∀ x v : E, (α:ℝ)*‖v‖^2 ≤ (fderiv ℝ (fderiv ℝ V) x v) v ∧
      (fderiv ℝ (fderiv ℝ V) x v) v ≤ (β:ℝ)*‖v‖^2)
    (hη : 0 < η) (hβη : (β:ℝ)*η ≤ 1) :
    let μ := (volume : Measure E).tilted (fun x => -V x)
    let J := Measure.map (fun p : E × E => (p.1,p.1+Real.sqrt η • p.2)) (μ.prod (stdGaussian E))
    let W := fun y u : E => V ((1/2:ℝ) • (y+u)) + ‖u-y‖^2/(8*η)
    ∃ R S : Kernel E E, IsMarkovKernel R ∧ IsMarkovKernel S ∧
      (J.map Prod.swap).IsCondKernel R ∧
      (∀ y, S y = (R y).map (fun x => (2:ℝ) • x-y)) ∧
      ∀ y, S y = (volume : Measure E).tilted (fun u => -W y u) ∧
        ContDiff ℝ 2 (W y) ∧ Integrable (fun u => Real.exp (-W y u)) ∧
        0 < (∫ u, Real.exp (-W y u)) ∧
        ∃ D : Lp ℝ 2 (S y) →ₗ.[ℝ] Lp E 2 (S y),
          Dense (D.domain : Set (Lp ℝ 2 (S y))) ∧ D.IsClosable ∧ D.closure.IsClosed ∧
          (∀ (u : Lp ℝ 2 (S y)) (v : Lp E 2 (S y)), (u,v) ∈ D.graph ↔
            ∃ f : E → ℝ, ContDiff ℝ ∞ f ∧ HasCompactSupport f ∧
              u =ᵐ[S y] f ∧ v =ᵐ[S y] gradient f) ∧
      ∀ (ε : ℝ), 0 < ε → ∀ f : Lp ℝ 2 (S y),
      ∃ u : D.closure.domain,
        (∀ v : D.closure.domain,
          ε * ⟪(u : Lp ℝ 2 (S y)), (v : Lp ℝ 2 (S y))⟫ +
            ⟪D.closure u, D.closure v⟫ = ⟪f, (v : Lp ℝ 2 (S y))⟫) ∧
        LocallyIntegrable (fun x => (u : Lp ℝ 2 (S y)) x) ∧
        LocallyIntegrable (fun x => D.closure u x) ∧
        (∀ ψ : E → ℝ, ContDiff ℝ 1 ψ → HasCompactSupport ψ → ∀ v : E,
          Integrable (fun x => ψ x * inner ℝ (D.closure u x) v) ∧
          Integrable (fun x => (u : Lp ℝ 2 (S y)) x * fderiv ℝ ψ x v) ∧
          (∫ x, ψ x * inner ℝ (D.closure u x) v) =
            - ∫ x, (u : Lp ℝ 2 (S y)) x * fderiv ℝ ψ x v) ∧
        LocallyIntegrable (fun x => ‖ε * (u : Lp ℝ 2 (S y)) x +
          inner ℝ (gradient (W y) x) (D.closure u x) - f x‖ ^ 2) ∧
        (∀ K : Set E, IsCompact K →
          MemLp (fun x => (u : Lp ℝ 2 (S y)) x) 2 (volume.restrict K) ∧
          MemLp (fun x => D.closure u x) 2 (volume.restrict K) ∧
          MemLp (fun x => ε * (u : Lp ℝ 2 (S y)) x +
            inner ℝ (gradient (W y) x) (D.closure u x) - f x) 2 (volume.restrict K)) ∧
        (∀ φ : E → ℝ, ContDiff ℝ 2 φ → HasCompactSupport φ →
          Integrable (fun x => (u : Lp ℝ 2 (S y)) x * Laplacian.laplacian φ x) ∧
          Integrable (fun x => (ε * (u : Lp ℝ 2 (S y)) x +
            inner ℝ (gradient (W y) x) (D.closure u x) - f x) * φ x) ∧
          (∫ x, (u : Lp ℝ 2 (S y)) x * Laplacian.laplacian φ x) =
            ∫ x, (ε * (u : Lp ℝ 2 (S y)) x +
              inner ℝ (gradient (W y) x) (D.closure u x) - f x) * φ x) ∧
        ∀ χ : E → ℝ, ContDiff ℝ 2 χ → HasCompactSupport χ →
    let v := fun x => χ x * (u : Lp ℝ 2 (S y)) x
    let Gχ := fun x => χ x • D.closure u x + (u : Lp ℝ 2 (S y)) x • gradient χ x
    let Fχ := fun x => χ x * (ε * (u : Lp ℝ 2 (S y)) x + inner ℝ (gradient (W y) x) (D.closure u x) - f x) + 2 * inner ℝ (gradient χ x) (D.closure u x) +
      (u : Lp ℝ 2 (S y)) x * Laplacian.laplacian χ x
    MemLp v 2 volume ∧ MemLp Gχ 2 volume ∧ MemLp Fχ 2 volume ∧
    tsupport v ⊆ tsupport χ ∧ tsupport Gχ ⊆ tsupport χ ∧ tsupport Fχ ⊆ tsupport χ ∧
    (∀ ψ : E → ℝ, ContDiff ℝ 1 ψ → HasCompactSupport ψ → ∀ a : E,
      Integrable (fun x => ψ x * inner ℝ (Gχ x) a) ∧
      Integrable (fun x => v x * fderiv ℝ ψ x a) ∧
      (∫ x, ψ x * inner ℝ (Gχ x) a) = -∫ x, v x * fderiv ℝ ψ x a) ∧
    (∀ φ : E → ℝ, ContDiff ℝ 2 φ → HasCompactSupport φ →
      Integrable (fun x => v x * Laplacian.laplacian φ x) ∧
      Integrable (fun x => Fχ x * φ x) ∧
      (∫ x, v x * Laplacian.laplacian φ x) = ∫ x, Fχ x * φ x) ∧
    ∃ vc Fc : Lp ℂ 2 (volume : Measure E),
      vc =ᵐ[volume] (fun x => (v x : ℂ)) ∧
      Fc =ᵐ[volume] (fun x => (Fχ x : ℂ)) ∧
      (∀ ψ : SchwartzMap E ℂ,
        Integrable (fun x => (Laplacian.laplacian ψ) x * (v x : ℂ)) volume ∧
        Integrable (fun x => ψ x * (Fχ x : ℂ)) volume ∧
        (∫ x, (Laplacian.laplacian ψ) x * (v x : ℂ)) = ∫ x, ψ x * (Fχ x : ℂ)) ∧
      Laplacian.laplacian (Lp.toTemperedDistribution vc) = Lp.toTemperedDistribution Fc ∧
      MemSobolev 2 2 (Lp.toTemperedDistribution vc)

Exact module and namespace context

Proof roadmap

  1. 1Consume the genuine common reflected conditional localization

    Call the accepted actual ConditionalLocalizedResolvent producer with source C2 V and exact curvature/eta cap. Retain common Markov R/S, true augmentation disintegration, reflection and actual positive reflected density; no unreflected RGO operator substitution.

  2. 2Keep the original D and choose one u before all cutoffs

    For each y keep original dense closable exact compact-smooth D_y and closed closure before epsilon/f. The accepted producer returns one actual u with all-domain variational equation, ordinary weak gradient/PDE and local squared/compact L2 facts before every cutoff.

  3. 3Derive the actual volume L2/support/PDE inputs for each cutoff

    Extract formula-defined v/Gchi/Fchi, all three global volume L2/support inclusions and genuine all-C1 first/all-C2 second weak equations from this same u. Keep every property; no Schwartz validity, final TD identity or regularity/core certificate is a new source assumption.

  4. 4Apply the real-test to complex Sobolev producer

    Use K=tsupport chi and actual compactness/support/L2/PDE conclusions to apply the new shared leaf. It constructs actual complex volume classes after each cutoff, every legal complex Schwartz identity, true TD Laplacian and Bessel-Sobolev membership. Fiberwise existences do not assert jointly measurable selectors.

  5. 5Exercise actual nonquadratic source and compact cutoff

    The Test uses V(x)=3x^2/8+sin(x)/8 with genuine curvature[1/2,1], eta in(0,1], an ordinary bump chi with rIn1/rOut2, actual C2 phi=rho(x)(x^2)^(5/2), all true source fibers/epsilon/forcing and originalD. It retains the particular gradient/PDE tests and extracts actual complex classes, all Schwartz integrabilities/equalities, TD equation and Sobolev result for the same cutoff u.

  6. 6Preserve source scaling and remaining obligations

    The reflected potential remains V((y+z)/2)+norm(z-y)^2/(8eta), with quarter Hessian and distinct Dirichlet/epsilon scale from unreflected RGO. This complex regularity prerequisite does not establish real Hessian reps, weighted core/Bochner, BL/Poincare, joint fiber selection, main sampling guarantees or actual-input expected-cost composition.

Full assumptions and notation

All objects and hypotheses

  • E has the same finite real Hilbert/Borel/full-space structure including dimension zero. V is C2 with alpha,beta NNReal, 0<alpha≤beta, all-point/all-vector alpha I≤Hess V≤beta I; eta>0 and beta eta≤1.
  • Construct the true Gaussian/Gibbs augmentation J, common Markov/disintegrating R/S, exact reflected S_y=(2x-y)#R_y=volume.tilted(-W_y), W_y(z)=V((y+z)/2)+norm(z-y)^2/(8eta), C2 and positive integrable partition.
  • For every fiber fix original dense closable exact compact-smooth gradient D_y with closed closure before epsilon/forcing. For each epsilon>0/f in L2(S_y), one actual u/G/r serves all C2 compact chi. Derive all local/global volume facts and PDE inputs from the accepted actual conditional localization. No measurable joint fiberwise solution/class selector, unreflected RGO identity or localized weighted-domain membership is assumed.

Mathematical proof

1. Consume the genuine common reflected conditional localization

Call the accepted actual ConditionalLocalizedResolvent producer with source C2 V and exact curvature/eta cap. Retain common Markov R/S, true augmentation disintegration, reflection and actual positive reflected density; no unreflected RGO operator substitution.

\[J=(x,x+\sqrt\eta\xi)_\#(\mu\otimes\gamma),\quad S_y=(2x-y)_\#R_y=Z_y^{-1}e^{-W_y}dz.\]
Corresponding Lean step

ConditionalLocalizedResolvent.conditional_localized_resolvent

2. Keep the original D and choose one u before all cutoffs

For each y keep original dense closable exact compact-smooth D_y and closed closure before epsilon/f. The accepted producer returns one actual u with all-domain variational equation, ordinary weak gradient/PDE and local squared/compact L2 facts before every cutoff.

\[\forall y\ \exists D_y\ \forall\varepsilon>0,f\ \exists u\ \forall\chi\in C_c^2.\]
Corresponding Lean step

hsolve; hDense,hClose,hClosed,hgraph; hu,huL,hGL,hd,hr2,hl,hp

3. Derive the actual volume L2/support/PDE inputs for each cutoff

Extract formula-defined v/Gchi/Fchi, all three global volume L2/support inclusions and genuine all-C1 first/all-C2 second weak equations from this same u. Keep every property; no Schwartz validity, final TD identity or regularity/core certificate is a new source assumption.

\[v=\chi u,\quad G_\chi=\chi G+u\nabla\chi,\quad F_\chi=\chi r+2\langle\nabla\chi,G\rangle+u\Delta\chi.\]
Corresponding Lean step

hcut; hv,hg,hf,hvs,hgs,hfs,hfirst,hsecond

4. Apply the real-test to complex Sobolev producer

Use K=tsupport chi and actual compactness/support/L2/PDE conclusions to apply the new shared leaf. It constructs actual complex volume classes after each cutoff, every legal complex Schwartz identity, true TD Laplacian and Bessel-Sobolev membership. Fiberwise existences do not assert jointly measurable selectors.

\[\forall\chi\ \exists v_C,F_C\ \forall\psi\in\mathcal S:\quad\int(\Delta\psi)v=\int\psi F_\chi,\quad\Delta T_v=T_{F_\chi},\quad\mathrm{MemSobolev}\ 2\ 2\ T_v.\]
Corresponding Lean step

CompactWeakPoissonSobolev.compact_weak_poisson_sobolev

5. Exercise actual nonquadratic source and compact cutoff

The Test uses V(x)=3x^2/8+sin(x)/8 with genuine curvature[1/2,1], eta in(0,1], an ordinary bump chi with rIn1/rOut2, actual C2 phi=rho(x)(x^2)^(5/2), all true source fibers/epsilon/forcing and originalD. It retains the particular gradient/PDE tests and extracts actual complex classes, all Schwartz integrabilities/equalities, TD equation and Sobolev result for the same cutoff u.

\[\chi=\operatorname{bump}_{1,2},\quad\phi=\rho(x)(x^2)^{5/2},\quad\Delta T_{\chi u}=T_{F_\chi}.\]
Corresponding Lean step

Tests.CompactWeakPoissonSobolev.actual_nonconstant_cutoff_sobolev

6. Preserve source scaling and remaining obligations

The reflected potential remains V((y+z)/2)+norm(z-y)^2/(8eta), with quarter Hessian and distinct Dirichlet/epsilon scale from unreflected RGO. This complex regularity prerequisite does not establish real Hessian reps, weighted core/Bochner, BL/Poincare, joint fiber selection, main sampling guarantees or actual-input expected-cost composition.

\[\text{complex localized Sobolev prerequisite};\quad\text{weighted core/BL/main/composition remain open}.\]
Corresponding Lean step

conditional_localized_sobolev

Lean verification

The exact proof begins folded immediately after the mathematical argument; the statement is folded beside the claim above.

Lean proof · conditional_localized_sobolev

Consume the genuine common reflected conditional localization; Keep the original D and choose one u before all cutoffs; Derive the actual volume L2/support/PDE inputs for each cutoff; Apply the real-test to complex Sobolev producer; Exercise actual nonquadratic source and compact cutoff; Preserve source scaling and remaining obligations

Braces mark parameters Lean can infer; square brackets request structures such as a measurable space or probability measure. Named hypotheses are mathematical premises, not facts established by this declaration. Section parameters are described in the mathematical hypotheses above; the module link retains their exact source context.

Download module (.lean)
theorem conditional_localized_sobolev {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
    [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
    {V : E → ℝ} {α β : NNReal} {η : ℝ}
    (hα : 0 < (α:ℝ)) (hαβ : α ≤ β) (hV : ContDiff ℝ 2 V)
    (hH : ∀ x v : E, (α:ℝ)*‖v‖^2 ≤ (fderiv ℝ (fderiv ℝ V) x v) v ∧
      (fderiv ℝ (fderiv ℝ V) x v) v ≤ (β:ℝ)*‖v‖^2)
    (hη : 0 < η) (hβη : (β:ℝ)*η ≤ 1) :
    let μ := (volume : Measure E).tilted (fun x => -V x)
    let J := Measure.map (fun p : E × E => (p.1,p.1+Real.sqrt η • p.2)) (μ.prod (stdGaussian E))
    let W := fun y u : E => V ((1/2:ℝ) • (y+u)) + ‖u-y‖^2/(8*η)
    ∃ R S : Kernel E E, IsMarkovKernel R ∧ IsMarkovKernel S ∧
      (J.map Prod.swap).IsCondKernel R ∧
      (∀ y, S y = (R y).map (fun x => (2:ℝ) • x-y)) ∧
      ∀ y, S y = (volume : Measure E).tilted (fun u => -W y u) ∧
        ContDiff ℝ 2 (W y) ∧ Integrable (fun u => Real.exp (-W y u)) ∧
        0 < (∫ u, Real.exp (-W y u)) ∧
        ∃ D : Lp ℝ 2 (S y) →ₗ.[ℝ] Lp E 2 (S y),
          Dense (D.domain : Set (Lp ℝ 2 (S y))) ∧ D.IsClosable ∧ D.closure.IsClosed ∧
          (∀ (u : Lp ℝ 2 (S y)) (v : Lp E 2 (S y)), (u,v) ∈ D.graph ↔
            ∃ f : E → ℝ, ContDiff ℝ ∞ f ∧ HasCompactSupport f ∧
              u =ᵐ[S y] f ∧ v =ᵐ[S y] gradient f) ∧
      ∀ (ε : ℝ), 0 < ε → ∀ f : Lp ℝ 2 (S y),
      ∃ u : D.closure.domain,
        (∀ v : D.closure.domain,
          ε * ⟪(u : Lp ℝ 2 (S y)), (v : Lp ℝ 2 (S y))⟫ +
            ⟪D.closure u, D.closure v⟫ = ⟪f, (v : Lp ℝ 2 (S y))⟫) ∧
        LocallyIntegrable (fun x => (u : Lp ℝ 2 (S y)) x) ∧
        LocallyIntegrable (fun x => D.closure u x) ∧
        (∀ ψ : E → ℝ, ContDiff ℝ 1 ψ → HasCompactSupport ψ → ∀ v : E,
          Integrable (fun x => ψ x * inner ℝ (D.closure u x) v) ∧
          Integrable (fun x => (u : Lp ℝ 2 (S y)) x * fderiv ℝ ψ x v) ∧
          (∫ x, ψ x * inner ℝ (D.closure u x) v) =
            - ∫ x, (u : Lp ℝ 2 (S y)) x * fderiv ℝ ψ x v) ∧
        LocallyIntegrable (fun x => ‖ε * (u : Lp ℝ 2 (S y)) x +
          inner ℝ (gradient (W y) x) (D.closure u x) - f x‖ ^ 2) ∧
        (∀ K : Set E, IsCompact K →
          MemLp (fun x => (u : Lp ℝ 2 (S y)) x) 2 (volume.restrict K) ∧
          MemLp (fun x => D.closure u x) 2 (volume.restrict K) ∧
          MemLp (fun x => ε * (u : Lp ℝ 2 (S y)) x +
            inner ℝ (gradient (W y) x) (D.closure u x) - f x) 2 (volume.restrict K)) ∧
        (∀ φ : E → ℝ, ContDiff ℝ 2 φ → HasCompactSupport φ →
          Integrable (fun x => (u : Lp ℝ 2 (S y)) x * Laplacian.laplacian φ x) ∧
          Integrable (fun x => (ε * (u : Lp ℝ 2 (S y)) x +
            inner ℝ (gradient (W y) x) (D.closure u x) - f x) * φ x) ∧
          (∫ x, (u : Lp ℝ 2 (S y)) x * Laplacian.laplacian φ x) =
            ∫ x, (ε * (u : Lp ℝ 2 (S y)) x +
              inner ℝ (gradient (W y) x) (D.closure u x) - f x) * φ x) ∧
        ∀ χ : E → ℝ, ContDiff ℝ 2 χ → HasCompactSupport χ →
    let v := fun x => χ x * (u : Lp ℝ 2 (S y)) x
    let Gχ := fun x => χ x • D.closure u x + (u : Lp ℝ 2 (S y)) x • gradient χ x
    let Fχ := fun x => χ x * (ε * (u : Lp ℝ 2 (S y)) x + inner ℝ (gradient (W y) x) (D.closure u x) - f x) + 2 * inner ℝ (gradient χ x) (D.closure u x) +
      (u : Lp ℝ 2 (S y)) x * Laplacian.laplacian χ x
    MemLp v 2 volume ∧ MemLp Gχ 2 volume ∧ MemLp Fχ 2 volume ∧
    tsupport v ⊆ tsupport χ ∧ tsupport Gχ ⊆ tsupport χ ∧ tsupport Fχ ⊆ tsupport χ ∧
    (∀ ψ : E → ℝ, ContDiff ℝ 1 ψ → HasCompactSupport ψ → ∀ a : E,
      Integrable (fun x => ψ x * inner ℝ (Gχ x) a) ∧
      Integrable (fun x => v x * fderiv ℝ ψ x a) ∧
      (∫ x, ψ x * inner ℝ (Gχ x) a) = -∫ x, v x * fderiv ℝ ψ x a) ∧
    (∀ φ : E → ℝ, ContDiff ℝ 2 φ → HasCompactSupport φ →
      Integrable (fun x => v x * Laplacian.laplacian φ x) ∧
      Integrable (fun x => Fχ x * φ x) ∧
      (∫ x, v x * Laplacian.laplacian φ x) = ∫ x, Fχ x * φ x) ∧
    ∃ vc Fc : Lp ℂ 2 (volume : Measure E),
      vc =ᵐ[volume] (fun x => (v x : ℂ)) ∧
      Fc =ᵐ[volume] (fun x => (Fχ x : ℂ)) ∧
      (∀ ψ : SchwartzMap E ℂ,
        Integrable (fun x => (Laplacian.laplacian ψ) x * (v x : ℂ)) volume ∧
        Integrable (fun x => ψ x * (Fχ x : ℂ)) volume ∧
        (∫ x, (Laplacian.laplacian ψ) x * (v x : ℂ)) = ∫ x, ψ x * (Fχ x : ℂ)) ∧
      Laplacian.laplacian (Lp.toTemperedDistribution vc) = Lp.toTemperedDistribution Fc ∧
      MemSobolev 2 2 (Lp.toTemperedDistribution vc) := by
  obtain ⟨R,S,hR,hS,hcond,hSR,hfiber⟩ :=
    AutoSamplingTheory.ExampleCases.ProximalBPS.ConditionalLocalizedResolvent.conditional_localized_resolvent hα hαβ hV hH hη hβη
  dsimp only
  refine ⟨R,S,hR,hS,hcond,hSR,?_⟩
  intro y
  obtain ⟨hSy,hW,hI,hZ,D,hDense,hClose,hClosed,hgraph,hsolve⟩ := hfiber y
  refine ⟨hSy,hW,hI,hZ,D,hDense,hClose,hClosed,hgraph,?_⟩
  intro ε hε f
  obtain ⟨u,hu,huL,hGL,hd,hr2,hl,hp,hcut⟩ := hsolve ε hε f
  refine ⟨u,hu,huL,hGL,hd,hr2,hl,hp,?_⟩
  intro χ hχ hc
  obtain ⟨hv,hg,hf,hvs,hgs,hfs,hfirst,hsecond⟩ := hcut χ hχ hc
  refine ⟨hv,hg,hf,hvs,hgs,hfs,hfirst,hsecond,?_⟩
  exact AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.CompactWeakPoissonSobolev.compact_weak_poisson_sobolev
    _ _ (tsupport χ) hc hvs hfs hv hf hsecond

end AutoSamplingTheory.ExampleCases.ProximalBPS.ConditionalLocalizedSobolev

Exact module and namespace context

Scope and omitted-condition boundaries
  • Derive actual all-complex-Schwartz tested PDE with both products L1, genuine complex volume-L2 classes/AE embeddings, actual TD Laplacian and MemSobolev2 using B2=I-(2pi)^-2 Delta. Genuine conditional same originalD before epsilon/f, one actualu before allC2 compactcutoffs; retain parent properties. No real mixed-second representatives/Hessian, original weighted localized-domain membership/core/Bochner, BL/Poincare/epsilon0/measurable fiber selector/full4.1/main/composition. Reflected/RGO laws/operators/scales distinct; TV does not transfer unbounded cost.
Sources, dependencies, and reuse

Source and reuse

Samplinglib parents called

Mathlib API called (external library)

No direct Mathlib call recorded; see the Samplinglib parents.

Mathematical sources

  • PBPS AppendixC.1 authored analytic prerequisite — Derive actual all-complex-Schwartz tested PDE with both products L1, genuine complex volume-L2 classes/AE embeddings, actual TD Laplacian and MemSobolev2 using B2=I-(2pi)^-2 Delta. Genuine conditional same originalD before epsilon/f, one actualu before allC2 compactcutoffs; retain parent properties. No real mixed-second representatives/Hessian, original weighted localized-domain membership/core/Bochner, BL/Poincare/epsilon0/measurable fiber selector/full4.1/main/composition. Reflected/RGO laws/operators/scales distinct; TV does not transfer unbounded cost.

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