Samplinglib
Lean gate passed 2026-08-19T06:32:39.895922+00:00 · 7bcd37294df1
Registry leaf card · analysis.calculus.pilp-integrable-field-norm-tail-tendsto-zero

tendsto_setIntegral_norm_norm_ge_comp_toLp

compiled Samplinglib leaf Not mapped explicit smoke test

- The `L¹` norm of an integrable field on the complement of an expanding Euclidean ball tends to zero, expressed in raw finite-Pi coordinates. The tail sets are `R ≤ ‖WithLp.toLp 2 x‖`. They form an antitone family with empty intersection, so Mathlib's antitone set-integral convergence theorem applies to `‖H‖`. This is measure-generic and contains no Gibbs, generator, integration-by-parts, or invariance semantics.

Plain-English statement

- The `L¹` norm of an integrable field on the complement of an expanding Euclidean ball tends to zero, expressed in raw finite-Pi coordinates. The tail sets are `R ≤ ‖WithLp.toLp 2 x‖`. They form an antitone family with empty intersection, so Mathlib's antitone set-integral convergence theorem applies to `‖H‖`. This is measure-generic and contains no Gibbs, generator, integration-by-parts, or invariance semantics.

Scope guard. This card records a compiled local declaration. Its mathematical scope is exactly the Lean statement below; the Registry note and source correspondence may describe motivation but do not strengthen it.
Lean learning studio · mathematics → formal proof

Read the mathematics first, then descend into Lean

You do not need to know Lean before opening this panel. The page keeps the paper-level theorem, rigorous proof obligations, exact Lean declaration, and proof dependencies as separate layers so a first-time reader can move down one layer at a time.

BeginnerWhy this theorem exists → intuition → statement → one hand calculation. Hide proof-engineering detail.
RigorousExpose assumptions, hidden measure/limit/domain issues, proof route, and rigorous references.
Lean learnerOpen the exact declaration, proof tree/network, syntax glossary, and line-by-line explanation.

Proof architecture

Start with the tree when learning: prerequisites sit below the theorem and downstream results sit above it. Switch to the network when you want to understand where this declaration lives in the local formal library. Every mapped node is clickable.

Loading source-derived dependency evidence…

Graph rule: only dependencies found by the ASTIS source scan are drawn. Missing tactic indirection is treated as an under-approximation; the site never invents an edge just to make a prettier graph.

How to read the exact Lean declaration

Read a Lean theorem left-to-right exactly as you would unpack a mathematical sentence: name → ambient types → automatically inferred structures → explicit hypotheses → conclusion → proof. Then read the proof top-to-bottom as transformations of the current goal.

  1. NameWhat reusable mathematical fact is being created?
  2. ParametersWhich symbols are arbitrary, and which structures are inferred by typeclass search?
  3. PropositionAfter the colon, translate the Lean expression back into a paper statement.
  4. Proof actionsAfter by, ask what each tactic does to the mathematical goal—not only what syntax it uses.

Syntax used on this page

This glossary is filtered to syntax that actually occurs in the declaration above. Open a symbol only when you meet it, rather than memorizing Lean grammar in advance.

Source voice and ASTIS voice stay separate

When Samplinglib shows a short quotation from Chewi, it is labeled as a source excerpt and linked to the canonical book page. Intuition, expanded proof steps, hidden regularity assumptions, and Lean explanations are ASTIS-authored commentary. A quotation never substitutes for a formal proof, and an ASTIS explanation is never attributed to the textbook author.

Lean statement

theorem tendsto_setIntegral_norm_norm_ge_comp_toLp
    {n : ℕ} {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F]
    {μ : Measure (Fin (n + 1) → ℝ)}
    {H : (Fin (n + 1) → ℝ) → F}
    (hH : Integrable H μ) :
    Tendsto
      (fun R : ℝ => ∫ x in
        {x : Fin (n + 1) → ℝ |
          R ≤ ‖(WithLp.toLp 2 x : EuclideanSpace ℝ (Fin (n + 1)))‖},
        ‖H x‖ ∂μ)
      atTop (𝓝 0) := by
  let s : ℝ → Set (Fin (n + 1) → ℝ) :=
    fun R => {x | R ≤ ‖(WithLp.toLp 2 x : EuclideanSpace ℝ (Fin (n + 1)))‖}
  have hs_measurable : ∀ R, MeasurableSet (s R) := by
    intro R
    exact measurableSet_le measurable_const
      ((continuous_norm.comp (PiLp.continuous_toLp 2 _)).measurable)
  have hs_antitone : Antitone s := by
    intro R S hRS x hx
    exact hRS.trans hx
  have hs_iInter : ⋂ R : ℝ, s R = ∅ := by
    apply Set.Subset.antisymm
    · intro x hx
      have hx' := Set.mem_iInter.mp hx
        (‖(WithLp.toLp 2 x : EuclideanSpace ℝ (Fin (n + 1)))‖ + 1)
      simp only [s, Set.mem_ofPred_eq] at hx'
      linarith
    · exact Set.empty_subset _
  have htail := tendsto_setIntegral_of_antitone
    hs_measurable hs_antitone ⟨0, hH.norm.integrableOn⟩
  simpa [s, hs_iInter] using htail

/-- The trace contribution of `χ'.smulRight G` over the standard finite Pi
basis is exactly the scalar derivative `χ'` applied to `G`.

This is pure finite-dimensional linear algebra.  It identifies the cutoff
cross term used by the divergence product rule but proves no measurability,
integrability, convergence, or boundary result. -/

Proof architecture

Chewi Ch.1 cutoff route: make the L1 norm of any integrable raw-Pi field vanish outside expanding Euclidean balls

Lean proof walkthrough

  • Read the quantified variables and typeclass brackets as part of the mathematical statement; inferred arguments are not missing assumptions.
  • `intro` introduces quantified hypotheses into the local proof context.
  • `have` creates a named intermediate mathematical fact.
  • `simp` normalizes through registered definitional and theorem rewrites.
  • `apply` reduces the goal to the hypotheses of a reusable theorem.
  • `exact` closes the current goal with an already typed term.
  • `simpa` closes the goal after a controlled simplification of a typed result.

Why the statement has this shape

The declaration is kept at the reusable level recorded by its Registry tags and direct consumers. Explicit measures, spaces, wrappers, and regularity hypotheses expose interfaces that paper notation often infers. A theorem card explains those interfaces but never widens the compiled statement.

Hidden assumptions and non-claims

  • Measurability is represented explicitly or must be supplied by a dependency.
  • Integrability is an input or proved output; a displayed integral alone does not supply it.
  • A Gibbs expression is not automatically a probability law or an invariant law.
  • A formal generator display does not establish a closed operator domain.
  • A cutoff lemma does not by itself prove a whole-space integration-by-parts identity.
Common pitfall. A wrapper or display identity is not a new analytic theorem merely because it has its own Lean name. Check the statement, hypotheses, and downstream consumers before interpreting its mathematical contribution.