Pass from closed support to ordinary support
AutoSamplingTheory.TechnicalLemmas.Analysis.Calculus.Divergence.support_subset_univ_pi_Ioo_of_tsupport_subset_univ_pi_Ioo · theorem · Teaching coverage
Statement
For endpoints a,b and χ:P→ℝ, if tsupp χ⊆O then supp χ⊆O.
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; tsupp χ⊆O. No continuity, compactness, or endpoint-order assumption.
Mathematical proof
1. Use containment in the closure
Every set lies in its closure. Therefore ordinary support lies in topological support, and the given inclusion finishes the result.
Corresponding Lean step
(subset_tsupport χ).trans hχ.
Lean statement · support_subset_univ_pi_Ioo_of_tsupport_subset_univ_pi_Ioo
This converts the support representation only; it does not construct χ.
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 support_subset_univ_pi_Ioo_of_tsupport_subset_univ_pi_Ioo
{n : ℕ} {a b : Fin (n + 1) → ℝ}
{χ : (Fin (n + 1) → ℝ) → ℝ}
(hχ : tsupport χ ⊆ Set.univ.pi (fun i => Set.Ioo (a i) (b i))) :
Function.support χ ⊆ Set.univ.pi (fun i => Set.Ioo (a i) (b i))Lean proof · support_subset_univ_pi_Ioo_of_tsupport_subset_univ_pi_Ioo
Every set lies in its closure. Therefore ordinary support lies in topological support, and the given inclusion finishes the result. 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 support_subset_univ_pi_Ioo_of_tsupport_subset_univ_pi_Ioo
{n : ℕ} {a b : Fin (n + 1) → ℝ}
{χ : (Fin (n + 1) → ℝ) → ℝ}
(hχ : tsupport χ ⊆ Set.univ.pi (fun i => Set.Ioo (a i) (b i))) :
Function.support χ ⊆ Set.univ.pi (fun i => Set.Ioo (a i) (b i)) := by
exact (subset_tsupport χ).trans hχ
/-- Smooth finite-dimensional cutoff localized inside a Pi-open box, with both
topological-support and plain function-support conclusions.
This packages `exists_contDiff_cutoff_tsupport_subset_univ_pi_Ioo` with
`support_subset_univ_pi_Ioo_of_tsupport_subset_univ_pi_Ioo`, so downstream
finite-box support lemmas can consume the cutoff directly. It remains local:
no exhausting cutoff family, derivative bookkeeping, tail limit, weighted IBP,
generator-domain theorem, invariant law, or reversibility is asserted. -/Scope and omitted-condition boundaries
- Do not reverse this implication without an additional closure argument.
Source and reuse
ASTIS parents called
Mathlib API called (external library)
- subset_tsupport
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: subset_tsupport — Generated additive theorem from subset_mulTSupport at this source anchor.
- 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.