The actual weak resolvent admits C1 compact weighted tests
AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.WeightedResolventC1.weak_resolvent_c1 · theorem · Teaching coverage
Mathematical statement
For C1 W and genuine integrability of exp(-W) volume, let mu=volume.tilted(-W). For every same closable exact compact smooth gradient D, epsilon>0 and scalar L2(mu) input f, construct u in D.closure.domain satisfying the variational equation for every domain test. Its actual closed gradient is the ordinary weak gradient, with locally volume-integrable representatives and full C1 compact directional identities. For every C1 compact psi, all three weighted volume products are integrable and epsilon integral exp(-W)u psi + integral exp(-W)<D.closure u,gradient psi> = integral exp(-W)f psi.
Lean statement · weak_resolvent_c1
For C1 W and genuine integrability of exp(-W) volume, let mu=volume.tilted(-W). For every same closable exact compact smooth gradient D, epsilon>0 and scalar L2(mu) input f, construct u in D.closure.domain satisfying the variational equation for every domain test. Its actual closed gradient is the ordinary weak gradient, with locally volume-integrable representatives and full C1 compact directional identities. For every C1 compact psi, all three weighted volume products are integrable and epsilon integral exp(-W)u psi + integral exp(-W)<D.closure u,gradient psi> = integral exp(-W)f psi.
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 weak_resolvent_c1 {E : Type*}
[NormedAddCommGroup E] [InnerProductSpace ℝ E] [FiniteDimensional ℝ E]
[MeasurableSpace E] [BorelSpace E]
(W : E → ℝ) (hW : ContDiff ℝ 1 W)
(hI : Integrable (fun x => Real.exp (-W x))) :
let μ := (volume : Measure E).tilted (fun x => -W x)
∀ (D : Lp ℝ 2 μ →ₗ.[ℝ] Lp E 2 μ), D.IsClosable →
(∀ (a : Lp ℝ 2 μ) (H : Lp E 2 μ), (a,H) ∈ D.graph ↔
∃ φ : E → ℝ, ContDiff ℝ ∞ φ ∧ HasCompactSupport φ ∧
a =ᵐ[μ] φ ∧ H =ᵐ[μ] gradient φ) →
∀ (ε : ℝ), 0 < ε → ∀ f : Lp ℝ 2 μ,
∃ u : D.closure.domain,
(∀ v : D.closure.domain,
ε * ⟪(u : Lp ℝ 2 μ), (v : Lp ℝ 2 μ)⟫ +
⟪D.closure u, D.closure v⟫ = ⟪f, (v : Lp ℝ 2 μ)⟫) ∧
LocallyIntegrable (fun x => (u : Lp ℝ 2 μ) 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 μ) x * fderiv ℝ ψ x v) ∧
(∫ x, ψ x * inner ℝ (D.closure u x) v) =
- ∫ x, (u : Lp ℝ 2 μ) x * fderiv ℝ ψ x v) ∧
∀ ψ : E → ℝ, ContDiff ℝ 1 ψ → HasCompactSupport ψ →
Integrable (fun x => Real.exp (-W x) * ((u : Lp ℝ 2 μ) x * ψ x)) ∧
Integrable (fun x => Real.exp (-W x) * inner ℝ (D.closure u x) (gradient ψ x)) ∧
Integrable (fun x => Real.exp (-W x) * (f x * ψ x)) ∧
ε * (∫ x, Real.exp (-W x) * ((u : Lp ℝ 2 μ) x * ψ x)) +
(∫ x, Real.exp (-W x) * inner ℝ (D.closure u x) (gradient ψ x)) =
∫ x, Real.exp (-W x) * (f x * ψ x)Proof roadmap
- 1Construct the same genuine variational solution
Positive epsilon and the actual closed partial operator give the true weak solution on D.closure.domain. The same D precedes epsilon and input; no Poisson solvability or Poincare premise is inserted.
- 2Retain the ordinary weak gradient and representatives
The existing exact graph/distributional producer gives local volume integrability and every C1 compact directional weak-gradient identity for the very same u and D.closure u.
- 3Embed each actual C1 compact test in this domain
Use the newly proved joint domain producer, yielding true MemLp classes p=[psi],q=[gradient psi] and their pair in this same closure graph. Extract the domain element v with D.closure v=q.
- 4Derive integrability before integral algebra
Actual L2 inner integrability gives the three mu-products. The proved tilted-law integrability equivalence transfers them to exp(-W)-weighted volume. No integral of an unproved nonintegrable expression is rearranged.
- 5Remove only the true positive normalization
Rewrite the actual L2 inner products with their mu-a.e. representatives and true tilted integrals. Cancel the reciprocal of the genuine positive partition to obtain the weighted volume equation for every C1 compact psi.
- 6Permit legitimate inverseweight tests without higher-regularity claims
For smooth compact phi, exp(W)phi is still compact and C1 when W is C1, so the new class is the needed legitimate input. This theorem does not itself establish the ordinary Laplacian, local H2, global Bochner or BL.
Full assumptions and notation
All objects and hypotheses
- E has the same finite-dimensional real Hilbert/Borel/full-space structure, including dimension zero. W is C1 and exp(-W) is genuinely integrable for volume. The law mu is exactly volume.tilted(-W), whose probability normalization is derived.
- D is the same closable partial gradient with exact compact smooth representative graph. epsilon is positive and forcing f is a genuine scalar L2(mu) class. No weak solution, H1 membership of a test, differentiability of u, coercivity or Poincare certificate is supplied.
- All quantifiers/representatives/measures are retained: the weak equation tests every original closure-domain element; ordinary weak derivatives use volume and every C1 compact scalar test/direction; the weighted equation now uses every C1 compact scalar test, with all three products L1 for volume.
Mathematical proof
1. Construct the same genuine variational solution
Positive epsilon and the actual closed partial operator give the true weak solution on D.closure.domain. The same D precedes epsilon and input; no Poisson solvability or Poincare premise is inserted.
Corresponding Lean step
ClosedGraphResolvent.weak_resolvent
2. Retain the ordinary weak gradient and representatives
The existing exact graph/distributional producer gives local volume integrability and every C1 compact directional weak-gradient identity for the very same u and D.closure u.
Corresponding Lean step
WeightedGradientDistribution.closed_gradient_distributional
3. Embed each actual C1 compact test in this domain
Use the newly proved joint domain producer, yielding true MemLp classes p=[psi],q=[gradient psi] and their pair in this same closure graph. Extract the domain element v with D.closure v=q.
Corresponding Lean step
CompactC1GradientDomain.compact_c1_in_closed_gradient; mem_graph_iff
4. Derive integrability before integral algebra
Actual L2 inner integrability gives the three mu-products. The proved tilted-law integrability equivalence transfers them to exp(-W)-weighted volume. No integral of an unproved nonintegrable expression is rearranged.
Corresponding Lean step
L2.integrable_inner; integrable_tilted_iff
5. Remove only the true positive normalization
Rewrite the actual L2 inner products with their mu-a.e. representatives and true tilted integrals. Cancel the reciprocal of the genuine positive partition to obtain the weighted volume equation for every C1 compact psi.
Corresponding Lean step
L2.inner_def; integral_tilted; integral_exp_pos
6. Permit legitimate inverseweight tests without higher-regularity claims
For smooth compact phi, exp(W)phi is still compact and C1 when W is C1, so the new class is the needed legitimate input. This theorem does not itself establish the ordinary Laplacian, local H2, global Bochner or BL.
Corresponding Lean step
weak_resolvent_c1
Lean verification
The exact proof begins folded immediately after the mathematical argument; the statement is folded beside the claim above.
Lean proof · weak_resolvent_c1
Construct the same genuine variational solution; Retain the ordinary weak gradient and representatives; Embed each actual C1 compact test in this domain; Derive integrability before integral algebra; Remove only the true positive normalization; Permit legitimate inverseweight tests without higher-regularity claims
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 weak_resolvent_c1 {E : Type*}
[NormedAddCommGroup E] [InnerProductSpace ℝ E] [FiniteDimensional ℝ E]
[MeasurableSpace E] [BorelSpace E]
(W : E → ℝ) (hW : ContDiff ℝ 1 W)
(hI : Integrable (fun x => Real.exp (-W x))) :
let μ := (volume : Measure E).tilted (fun x => -W x)
∀ (D : Lp ℝ 2 μ →ₗ.[ℝ] Lp E 2 μ), D.IsClosable →
(∀ (a : Lp ℝ 2 μ) (H : Lp E 2 μ), (a,H) ∈ D.graph ↔
∃ φ : E → ℝ, ContDiff ℝ ∞ φ ∧ HasCompactSupport φ ∧
a =ᵐ[μ] φ ∧ H =ᵐ[μ] gradient φ) →
∀ (ε : ℝ), 0 < ε → ∀ f : Lp ℝ 2 μ,
∃ u : D.closure.domain,
(∀ v : D.closure.domain,
ε * ⟪(u : Lp ℝ 2 μ), (v : Lp ℝ 2 μ)⟫ +
⟪D.closure u, D.closure v⟫ = ⟪f, (v : Lp ℝ 2 μ)⟫) ∧
LocallyIntegrable (fun x => (u : Lp ℝ 2 μ) 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 μ) x * fderiv ℝ ψ x v) ∧
(∫ x, ψ x * inner ℝ (D.closure u x) v) =
- ∫ x, (u : Lp ℝ 2 μ) x * fderiv ℝ ψ x v) ∧
∀ ψ : E → ℝ, ContDiff ℝ 1 ψ → HasCompactSupport ψ →
Integrable (fun x => Real.exp (-W x) * ((u : Lp ℝ 2 μ) x * ψ x)) ∧
Integrable (fun x => Real.exp (-W x) * inner ℝ (D.closure u x) (gradient ψ x)) ∧
Integrable (fun x => Real.exp (-W x) * (f x * ψ x)) ∧
ε * (∫ x, Real.exp (-W x) * ((u : Lp ℝ 2 μ) x * ψ x)) +
(∫ x, Real.exp (-W x) * inner ℝ (D.closure u x) (gradient ψ x)) =
∫ x, Real.exp (-W x) * (f x * ψ x) := by
let μ := (volume : Measure E).tilted (fun x => -W x)
dsimp only
intro D hD hgraph ε hε f
let : IsProbabilityMeasure μ := isProbabilityMeasure_tilted hI
obtain ⟨u,hu,_⟩ := AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.ClosedGraphResolvent.weak_resolvent D.closure hD.closure_isClosed ε hε f
obtain ⟨huL,hGL,hderiv⟩ := AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.WeightedGradientDistribution.closed_gradient_distributional
W hW hI D hD hgraph u (D.closure u) (D.closure.mem_graph u)
refine ⟨u,hu,huL,hGL,hderiv,?_⟩
intro ψ hψ hc
obtain ⟨hp,hg,hpqc⟩ := AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.CompactC1GradientDomain.compact_c1_in_closed_gradient μ D hD hgraph hψ hc
let p : Lp ℝ 2 μ := hp.toLp ψ
let q : Lp E 2 μ := hg.toLp (gradient ψ)
obtain ⟨v,hv,hDv⟩ := D.closure.mem_graph_iff.mp hpqc
have he := hu v
rw [hv,hDv] at he
have hpe (a : Lp ℝ 2 μ) :
(fun x => inner ℝ (a x) (p x)) =ᵐ[μ] (fun x => a x * ψ x) := by
filter_upwards [hp.coeFn_toLp] with x hx
rw [show p x = ψ x from hx]
simp [mul_comm]
have hge :
(fun x => inner ℝ (D.closure u x) (q x)) =ᵐ[μ]
(fun x => inner ℝ (D.closure u x) (gradient ψ x)) := by
filter_upwards [hg.coeFn_toLp] with x hx
rw [show q x = gradient ψ x from hx]
have hiu := (L2.integrable_inner (𝕜 := ℝ) (u : Lp ℝ 2 μ) p).congr (hpe u)
have hiG := (L2.integrable_inner (𝕜 := ℝ) (D.closure u) q).congr hge
have hif := (L2.integrable_inner (𝕜 := ℝ) f p).congr (hpe f)
have hwu := (integrable_tilted_iff hI _).mp hiu
have hwG := (integrable_tilted_iff hI _).mp hiG
have hwf := (integrable_tilted_iff hI _).mp hif
simp only [smul_eq_mul] at hwu hwG hwf
refine ⟨hwu,hwG,hwf,?_⟩
rw [L2.inner_def, L2.inner_def, L2.inner_def,
integral_congr_ae (hpe u), integral_congr_ae hge,
integral_congr_ae (hpe f)] at he
have ht (g : E → ℝ) : (∫ x, g x ∂μ) =
(∫ x, Real.exp (-W x))⁻¹ * ∫ x, Real.exp (-W x) * g x := by
rw [show μ = (volume : Measure E).tilted (fun x => -W x) from rfl, integral_tilted]
rw [← integral_const_mul]
apply integral_congr_ae
filter_upwards [] with x
change (Real.exp (-W x) / (∫ z, Real.exp (-W z))) • g x = _
simp only [smul_eq_mul, div_eq_mul_inv]
ring
rw [ht,ht,ht] at he
apply mul_left_cancel₀ (inv_ne_zero (integral_exp_pos hI).ne')
convert he using 1
ring
end
end AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.WeightedResolventC1Source assumptions versus formal assumptions
| Source | Actual Lean | Difference kind | Why it matters |
|---|---|---|---|
| Source Euclidean C2 positively curved Gibbs conditional weighted-H1 route. | E has the same finite-dimensional real Hilbert/Borel/full-space structure, including dimension zero. W is C1 and exp(-W) is genuinely integrable for volume. The law mu is exactly volume.tilted(-W), whose probability normalization is derived. D is the same closable partial gradient with exact compact smooth representative graph. epsilon is positive and forcing f is a genuine scalar L2(mu) class. No weak solution, H1 membership of a test, differentiability of u, coercivity or Poincare certificate is supplied. All quantifiers/representatives/measures are retained: the weak equation tests every original closure-domain element; ordinary weak derivatives use volume and every C1 compact scalar test/direction; the weighted equation now uses every C1 compact scalar test, with all three products L1 for volume. | generalization | Generic leaf uses finite measure or C1 normalized potential, with disclosed finite Hilbert/Borel/zero-dimension extension; actual source consumer retains exact source curvature/eta cap and true reflected law. |
| Source compact smooth calculations and extension to weighted H1 omit approximation/domain details. | For C1 W and genuine integrability of exp(-W) volume, let mu=volume.tilted(-W). For every same closable exact compact smooth gradient D, epsilon>0 and scalar L2(mu) input f, construct u in D.closure.domain satisfying the variational equation for every domain test. Its actual closed gradient is the ordinary weak gradient, with locally volume-integrable representatives and full C1 compact directional identities. For every C1 compact psi, all three weighted volume products are integrable and epsilon integral exp(-W)u psi + integral exp(-W)<D.closure u,gradient psi> = integral exp(-W)f psi. | source-implicit | Actually prove joint graph-domain approximation and C1 compact tests. Finite normalized laws permit bounded dominated convergence without an assumed uniform/common-support approximation. No higher/noncompact domain certificate supplied. |
| Appendix C.1 pursues conditional Poincare/macroscopic H1 extension. | Same actual compact-gradient graph closure admits C1 compact function/gradient pairs; actual positive-epsilon weak resolvent has all C1 compact weighted volume tests and genuine ordinary weak gradient. Actual PBPS reflected conditional R/S law and original fixed D precede epsilon/input. No local H2, global operator-core/Bochner, conditional Poincare/BL, centered epsilon limit, noncompact constant/linear domains, measurable y-selection, SPHMC Hessian lower/full4.1, PBPS hypocoercivity or either complete main/composition. TV never transfers unbounded expected cost. | unresolved | Only this analytic domain/test delta; global elliptic/core/Bochner/Poincare and complete papers remain independent. |
Same actual compact-gradient graph closure admits C1 compact function/gradient pairs; actual positive-epsilon weak resolvent has all C1 compact weighted volume tests and genuine ordinary weak gradient. Actual PBPS reflected conditional R/S law and original fixed D precede epsilon/input. No local H2, global operator-core/Bochner, conditional Poincare/BL, centered epsilon limit, noncompact constant/linear domains, measurable y-selection, SPHMC Hessian lower/full4.1, PBPS hypocoercivity or either complete main/composition. TV never transfers unbounded expected cost.
Encoder–denoiser: accepted · equivalent-after-elaboration
A generalization is not a source correction. Proposed missing conditions require separate independent repair review. No proposed repair silently changes the original theorem.
Scope and omitted-condition boundaries
- Same actual compact-gradient graph closure admits C1 compact function/gradient pairs; actual positive-epsilon weak resolvent has all C1 compact weighted volume tests and genuine ordinary weak gradient. Actual PBPS reflected conditional R/S law and original fixed D precede epsilon/input. No local H2, global operator-core/Bochner, conditional Poincare/BL, centered epsilon limit, noncompact constant/linear domains, measurable y-selection, SPHMC Hessian lower/full4.1, PBPS hypocoercivity or either complete main/composition. TV never transfers unbounded expected cost.
Sources, dependencies, and reuse
Source and reuse
Samplinglib parents called
AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.CompactC1GradientDomain.compact_c1_in_closed_gradientAutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.WeightedGradientDistribution.closed_gradient_distributionalAutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.ClosedGraphResolvent.weak_resolvent
Mathlib API called (external library)
- L2.integrable_inner
- integrable_tilted_iff
- integral_tilted
- integral_exp_pos
- LinearPMap.mem_graph_iff
Mathematical sources
- PBPS Appendix C.1 omitted analytic domain prerequisite — Same actual compact-gradient graph closure admits C1 compact function/gradient pairs; actual positive-epsilon weak resolvent has all C1 compact weighted volume tests and genuine ordinary weak gradient. Actual PBPS reflected conditional R/S law and original fixed D precede epsilon/input. No local H2, global operator-core/Bochner, conditional Poincare/BL, centered epsilon limit, noncompact constant/linear domains, measurable y-selection, SPHMC Hessian lower/full4.1, PBPS hypocoercivity or either complete main/composition. TV never transfers unbounded expected cost.
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