Samplinglib
Lean gate not recorded for this source state main · 0e31a3cda412
ASTIS mathematical exposition

Apply the product derivative on a common exceptional-set complement

AutoSamplingTheory.TechnicalLemmas.Analysis.Calculus.Divergence.hasFDerivAt_smul_vectorField_off_countable · theorem · Teaching coverage

Statement

For endpoints a,b, arbitrary s⊆P, and fields χ,G,ℓ,B, suppose χ has derivative ℓ(x) and G has derivative B(x) at every x∈O∖s. Then χG has derivative M(x)=χ(x)B(x)+ℓ(x).smulRight(G(x)) at every such x.

\[D\chi=\ell,\ DG=B\text{ on }O\setminus s\quad\Longrightarrow\quad D(\chi G)=M\text{ on }O\setminus s.\]

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.
  • χ:P→ℝ, G:P→P, ℓ:P→(P→L[ℝ]ℝ), and B:P→(P→L[ℝ]P). Set M(x)=χ(x)B(x)+ℓ(x).smulRight(G(x)); thus M(x)v=χ(x)B(x)v+ℓ(x)[v]G(x). Set σ(x)=Σ_i(M(x)e_i)_i.
  • s⊆P is arbitrary: despite the declaration name, no `s.Countable` hypothesis is present.
  • For each x∈O∖s, HasFDerivAt χ (ℓ x) x and HasFDerivAt G (B x) x. No a≤b or closed-box continuity premise.

Mathematical proof

1. Fix an allowed point and use both derivative witnesses

For x∈O∖s, the two hypotheses give actual derivatives at that same x. Apply the pointwise scalar-vector product rule there; x was arbitrary in the good set.

\[x\in O\setminus s\Longrightarrow D(\chi G)(x)[v]=\chi(x)B(x)[v]+\ell(x)[v]G(x).\]
Corresponding Lean step

hasFDerivAt_smul_vectorField_of_hasFDerivAt χ (χ' x) G (G' x) x (hχ x hx) (hG x hx).

Lean statement · hasFDerivAt_smul_vectorField_off_countable

This is a pointwise quantification wrapper. Countability is not used until a later theorem wants to ignore s in a Lebesgue-a.e. argument.

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 hasFDerivAt_smul_vectorField_off_countable
    {n : ℕ}
    (a b : Fin (n + 1) → ℝ)
    (χ : (Fin (n + 1) → ℝ) → ℝ)
    (χ' : (Fin (n + 1) → ℝ) → (Fin (n + 1) → ℝ) →L[ℝ] ℝ)
    (G : (Fin (n + 1) → ℝ) → Fin (n + 1) → ℝ)
    (G' : (Fin (n + 1) → ℝ) →
      (Fin (n + 1) → ℝ) →L[ℝ] (Fin (n + 1) → ℝ))
    (s : Set (Fin (n + 1) → ℝ))
    (hχ : ∀ x ∈ (Set.univ.pi fun i => Set.Ioo (a i) (b i)) \ s,
      HasFDerivAt χ (χ' x) x)
    (hG : ∀ x ∈ (Set.univ.pi fun i => Set.Ioo (a i) (b i)) \ s,
      HasFDerivAt G (G' x) x) :
    ∀ x ∈ (Set.univ.pi fun i => Set.Ioo (a i) (b i)) \ s,
      HasFDerivAt (fun y => χ y • G y)
        (χ x • G' x + (χ' x).smulRight (G x)) x

Exact module and namespace context

Lean proof · hasFDerivAt_smul_vectorField_off_countable

For x∈O∖s, the two hypotheses give actual derivatives at that same x. Apply the pointwise scalar-vector product rule there; x was arbitrary in the good set. The Lean correspondence in that step identifies the exact existing rule or definitional reduction used.

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 hasFDerivAt_smul_vectorField_off_countable
    {n : ℕ}
    (a b : Fin (n + 1) → ℝ)
    (χ : (Fin (n + 1) → ℝ) → ℝ)
    (χ' : (Fin (n + 1) → ℝ) → (Fin (n + 1) → ℝ) →L[ℝ] ℝ)
    (G : (Fin (n + 1) → ℝ) → Fin (n + 1) → ℝ)
    (G' : (Fin (n + 1) → ℝ) →
      (Fin (n + 1) → ℝ) →L[ℝ] (Fin (n + 1) → ℝ))
    (s : Set (Fin (n + 1) → ℝ))
    (hχ : ∀ x ∈ (Set.univ.pi fun i => Set.Ioo (a i) (b i)) \ s,
      HasFDerivAt χ (χ' x) x)
    (hG : ∀ x ∈ (Set.univ.pi fun i => Set.Ioo (a i) (b i)) \ s,
      HasFDerivAt G (G' x) x) :
    ∀ x ∈ (Set.univ.pi fun i => Set.Ioo (a i) (b i)) \ s,
      HasFDerivAt (fun y => χ y • G y)
        (χ x • G' x + (χ' x).smulRight (G x)) x := by
  intro x hx
  exact hasFDerivAt_smul_vectorField_of_hasFDerivAt χ (χ' x) G (G' x) x
    (hχ x hx) (hG x hx)

/-- Closed-box continuity of the cutoff-smul product-rule trace from only the
coordinate component continuity needed by the trace summand.

The expanded summand is
`χ x * (G' x eᵢ)ᵢ + (χ' x eᵢ) * (G x)ᵢ`.  This leaf therefore assumes
continuity of exactly these component functions.  It does not prove that `χ'`
or `G'` are derivative fields, does not construct cutoffs, and does not prove
boundary cancellation or weighted integration by parts. -/

Exact module and namespace context

Scope and omitted-condition boundaries

  • Do not silently add s.Countable to this statement, or infer an a.e. result for arbitrary s.

Source and reuse

ASTIS parents called

Mathlib API called (external library)

No direct Mathlib call recorded; see the ASTIS parents.

Mathematical sources

ASTIS prose is not a quotation or a source-equivalence certificate. Definitions and aliases are explained as constructions, not counted as new mathematical proofs.