Off-open-box vanishing gives zero box divergence integral
AutoSamplingTheory.TechnicalLemmas.Analysis.Calculus.Divergence.integral_coordinateDivergence_toPi_box_eq_zero_of_eq_zero_off_univ_pi_Ioo · theorem · Teaching coverage
Statement
Let a≤b and let F:P→P be continuous on K, have derivative A(x) at each x∈O∖s for a countable s, and have integrable trace τ_A on K. Assume additionally: F(x)=0 for every x∉O. Then the integral of δF over K is zero.
All objects and hypotheses
- n∈ℕ, d=n+1≥1, P=(Fin d→ℝ) with its usual supremum norm, V=EuclideanSpace ℝ (Fin d) with its ℓ² norm. T:P→V is WithLp.toLp 2, a continuous linear equivalence, and e=T⁻¹=WithLp.ofLp.
- a,b∈P; K=[a,b]={x:∀i,a_i≤x_i≤b_i} is the closed box and O=∏_i(a_i,b_i) is the open box. All unspecified integrals and a.e. assertions use Lebesgue volume on P, restricted to K when indicated.
- F:P→P and A:P→(P→L[ℝ]P) is a supplied linear-map field. Write δF(x)=Div(T∘F∘T⁻¹)(Tx) and τ_A(x)=Σ_i(A(x)e_i)_i.
- a≤b coordinatewise (zero-width coordinates are allowed).
- s⊆P is countable; F is continuous on K; for every x∈O∖s, HasFDerivAt F (A x) x.
- τ_A is integrable on K with respect to volume.
- For each i, K_hat_i=∏_{j≠i}[a_j,b_j] is parametrized by Fin n→ℝ; I_i^c inserts c in coordinate i, retaining the other coordinates in their original order. Φ_a,b(F) is the sum of upper-face integrals of F_i minus lower-face integrals of F_i.
- F(x)=0 for every x∉O.
Notation and interpretation
- Notation used below
For a raw field F:P→P, W_F=T∘F∘T⁻¹ and δF(x) is coordinateDivergence W_F at Tx. For a supplied linear-map field A, τ_A is its coordinate trace.
\[W_F:=T\circ F\circ T^{-1},\qquad\delta F(x):=\operatorname{Div}W_F(Tx),\qquad\tau_A(x):=\sum_i(A(x)e_i)_i.\]
Mathematical proof
1. Produce the zero signed face sum
Every vector with one coordinate equal to an endpoint is outside O. Thus the off-box zero premise kills all endpoint normal components and their face integrals.
Corresponding Lean step
signedFaceTermSum_eq_zero_of_eq_zero_off_univ_pi_Ioo a b F with the stated boundary/support premises.
2. Combine with the conditional zero-face theorem
The original regularity and trace-integrability data satisfy the finite-box divergence theorem. Its zero-face corollary uses the just-proved Φ=0 to give the zero box integral.
Corresponding Lean step
integral_coordinateDivergence_toPi_box_eq_zero_of_integrableOn_trace_of_hasFDerivAt_off_countable a b hle F F' s hs Hc Hd Hi_trace (...).
Lean statement · integral_coordinateDivergence_toPi_box_eq_zero_of_eq_zero_off_univ_pi_Ioo
The derivative field F′ is supplied and is required to be correct only on O∖s. The chosen boundary/support premise replaces hfaces, but does not replace any regularity or integrability premise.
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 integral_coordinateDivergence_toPi_box_eq_zero_of_eq_zero_off_univ_pi_Ioo
{n : ℕ}
(a b : Fin (n + 1) → ℝ) (hle : a ≤ b)
(F : (Fin (n + 1) → ℝ) → Fin (n + 1) → ℝ)
(F' : (Fin (n + 1) → ℝ) →
(Fin (n + 1) → ℝ) →L[ℝ] (Fin (n + 1) → ℝ))
(s : Set (Fin (n + 1) → ℝ)) (hs : s.Countable)
(Hc : ContinuousOn F (Set.Icc a b))
(Hd : ∀ x ∈ (Set.univ.pi fun i => Set.Ioo (a i) (b i)) \ s,
HasFDerivAt F (F' x) x)
(Hi_trace : IntegrableOn (fun x => ∑ i, F' x (Pi.single i (1 : ℝ)) i)
(Set.Icc a b) volume)
(hoff : ∀ x ∉ (Set.univ.pi fun i => Set.Ioo (a i) (b i)), F x = 0) :
∫ x in Set.Icc a b, coordinateDivergence
(fun y : EuclideanSpace ℝ (Fin (n + 1)) =>
(WithLp.toLp 2 (F (WithLp.ofLp y)) :
EuclideanSpace ℝ (Fin (n + 1))))
(WithLp.toLp 2 x : EuclideanSpace ℝ (Fin (n + 1))) = 0Lean proof · integral_coordinateDivergence_toPi_box_eq_zero_of_eq_zero_off_univ_pi_Ioo
The source first every vector with one coordinate equal to an endpoint is outside O. Thus the off-box zero premise kills all endpoint normal components and their face integrals. It finishes as follows: The original regularity and trace-integrability data satisfy the finite-box divergence theorem. Its zero-face corollary uses the just-proved Φ=0 to give the zero box integral. Intermediate steps below identify the actual helper calls and the conditions each one needs.
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 integral_coordinateDivergence_toPi_box_eq_zero_of_eq_zero_off_univ_pi_Ioo
{n : ℕ}
(a b : Fin (n + 1) → ℝ) (hle : a ≤ b)
(F : (Fin (n + 1) → ℝ) → Fin (n + 1) → ℝ)
(F' : (Fin (n + 1) → ℝ) →
(Fin (n + 1) → ℝ) →L[ℝ] (Fin (n + 1) → ℝ))
(s : Set (Fin (n + 1) → ℝ)) (hs : s.Countable)
(Hc : ContinuousOn F (Set.Icc a b))
(Hd : ∀ x ∈ (Set.univ.pi fun i => Set.Ioo (a i) (b i)) \ s,
HasFDerivAt F (F' x) x)
(Hi_trace : IntegrableOn (fun x => ∑ i, F' x (Pi.single i (1 : ℝ)) i)
(Set.Icc a b) volume)
(hoff : ∀ x ∉ (Set.univ.pi fun i => Set.Ioo (a i) (b i)), F x = 0) :
∫ x in Set.Icc a b, coordinateDivergence
(fun y : EuclideanSpace ℝ (Fin (n + 1)) =>
(WithLp.toLp 2 (F (WithLp.ofLp y)) :
EuclideanSpace ℝ (Fin (n + 1))))
(WithLp.toLp 2 x : EuclideanSpace ℝ (Fin (n + 1))) = 0 := by
exact integral_coordinateDivergence_toPi_box_eq_zero_of_integrableOn_trace_of_hasFDerivAt_off_countable
a b hle F F' s hs Hc Hd Hi_trace
(signedFaceTermSum_eq_zero_of_eq_zero_off_univ_pi_Ioo a b F hoff)
/-- Finite-box coordinate-divergence integral vanishes when the vector field's
support is contained in the open Pi-box.
This composes the support-to-face producer with the finite-box divergence
wrapper. It is not a compact-support theorem, a cutoff construction, a
whole-space integration-by-parts theorem, or an invariant-law result. -/Scope and omitted-condition boundaries
- Only the finite box K is integrated. No passage to whole space, weighted integration by parts, generator domain, stationary law, or invariance follows from this wrapper alone.
- Derivative values at the boundary and on the countable exceptional set are not prescribed; equality of integrands is used a.e.
Source and reuse
ASTIS parents called
AutoSamplingTheory.TechnicalLemmas.Analysis.Calculus.Divergence.integral_coordinateDivergence_toPi_box_eq_zero_of_integrableOn_trace_of_hasFDerivAt_off_countableAutoSamplingTheory.TechnicalLemmas.Analysis.Calculus.Divergence.signedFaceTermSum_eq_zero_of_eq_zero_off_univ_pi_Ioo
Mathlib API called (external library)
No direct Mathlib call recorded; see the ASTIS parents.
Mathematical sources
- Current ASTIS source — Exact statement and actual proof/construction authority; raw code intentionally omitted from this packet.
- Existing curated module card — Existing declaration-specific attribution entry, read as documentation without a new source-equivalence verdict.
- Called library/source declaration: AutoSamplingTheory.TechnicalLemmas.Analysis.Calculus.Divergence.integral_coordinateDivergence_toPi_box_eq_zero_of_integrableOn_trace_of_hasFDerivAt_off_countable — Exact ASTIS parent called in the proof steps above; this anchor adds no source-equivalence verdict.
- Called library/source declaration: AutoSamplingTheory.TechnicalLemmas.Analysis.Calculus.Divergence.signedFaceTermSum_eq_zero_of_eq_zero_off_univ_pi_Ioo — Exact ASTIS parent called in the proof steps above; this anchor adds no source-equivalence verdict.
- Existing focused test — Exact named declaration invocation located in an existing example; no test was run.
ASTIS prose is not a quotation or a source-equivalence certificate. Definitions and aliases are explained as constructions, not counted as new mathematical proofs.