Samplinglib
Lean gate not recorded for this source state main · ed709a7f320d
Registry leaf card · measure.realL2PositiveSquareOrder

positive_square_order

compiled Samplinglib leaf Not mapped explicit smoke test

Independently exact-science64 verified 59fff63d320aa5e3dc4b45e81e40e2029ce42734. Arbitrary measure and real scalar-valued L2: positive A,B with positive B squared-A squared internally yield positive B-A, using three canonical complex lifts and internal complex CFC. No caller CFC/nontriviality/finite-L2 premise; zero/trivial case included. Genuine consumer is actual PBPS B15 centered root order.

Plain-English statement

Independently exact-science64 verified 59fff63d320aa5e3dc4b45e81e40e2029ce42734. Arbitrary measure and real scalar-valued L2: positive A,B with positive B squared-A squared internally yield positive B-A, using three canonical complex lifts and internal complex CFC. No caller CFC/nontriviality/finite-L2 premise; zero/trivial case included. Genuine consumer is actual PBPS B15 centered root order.

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 positive_square_order
    {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω)
    (A B : Lp ℝ 2 μ →L[ℝ] Lp ℝ 2 μ)
    (hA : A.IsPositive) (hB : B.IsPositive)
    (hSquareOrder : (B*B-A*A).IsPositive) :
    (B-A).IsPositive := by
  letI : NormedSpace ℝ (Lp ℂ 2 μ →L[ℂ] Lp ℂ 2 μ) :=
    NormedSpace.restrictScalars ℝ ℂ (Lp ℂ 2 μ →L[ℂ] Lp ℂ 2 μ)
  letI := IsStarNormal.instNonUnitalContinuousFunctionalCalculus
    (A := Lp ℂ 2 μ →L[ℂ] Lp ℂ 2 μ)
  letI : NonUnitalContinuousFunctionalCalculus ℂ
      (Lp ℂ 2 μ →L[ℂ] Lp ℂ 2 μ) IsStarNormal :=
    NonUnitalClosedEmbeddingContinuousFunctionalCalculus.toNonUnitalContinuousFunctionalCalculus
  letI : NonUnitalContinuousFunctionalCalculus ℝ
      (Lp ℂ 2 μ →L[ℂ] Lp ℂ 2 μ) IsSelfAdjoint :=
    IsSelfAdjoint.instNonUnitalContinuousFunctionalCalculus
      (A := Lp ℂ 2 μ →L[ℂ] Lp ℂ 2 μ)
  let ι : Lp ℝ 2 μ →L[ℝ] Lp ℂ 2 μ := Complex.ofRealCLM.compLpL 2 μ
  let R : Lp ℂ 2 μ →L[ℝ] Lp ℝ 2 μ := Complex.reCLM.compLpL 2 μ
  let Q : Lp ℂ 2 μ →L[ℝ] Lp ℝ 2 μ := Complex.imCLM.compLpL 2 μ
  obtain ⟨hNorm,_,Ac,hAc,hAf,hAi,_⟩ :=
    L2RealComplexOperator.exists_positive_complex_lift μ A hA
  obtain ⟨_,_,Bc,hBc,hBf,hBi,_⟩ :=
    L2RealComplexOperator.exists_positive_complex_lift μ B hB
  obtain ⟨_,_,Dc,hDc,hDf,hDi,_⟩ :=
    L2RealComplexOperator.exists_positive_complex_lift μ (B*B-A*A) hSquareOrder
  have hAi' (u : Lp ℝ 2 μ) : Ac (ι u)=ι (A u) := hAi u
  have hBi' (u : Lp ℝ 2 μ) : Bc (ι u)=ι (B u) := hBi u
  have hComplexDiff : Bc*Bc-Ac*Ac=Dc := by
    apply ContinuousLinearMap.ext
    intro g
    change Bc (Bc g) - Ac (Ac g)=Dc g
    rw [hBf g,hAf g,map_add,map_smul,map_add,map_smul,hBi,hBi,hAi,hAi,hDf g]
    simp only [ContinuousLinearMap.sub_apply,ContinuousLinearMap.mul_apply,map_sub,smul_sub]
    abel
  have hAcNonneg : 0 ≤ Ac := (ContinuousLinearMap.nonneg_iff_isPositive Ac).mpr hAc
  have hBcNonneg : 0 ≤ Bc := (ContinuousLinearMap.nonneg_iff_isPositive Bc).mpr hBc
  have hSqLe : Ac*Ac ≤ Bc*Bc := by
    apply (ContinuousLinearMap.le_def _ _).mpr
    rw [hComplexDiff]
    exact hDc
  have hLe : Ac ≤ Bc := by
    have h := CFC.sqrt_le_sqrt (Ac*Ac) (Bc*Bc) hSqLe
    have ha : CFC.sqrt (Ac*Ac)=Ac := CFC.sqrt_unique rfl hAcNonneg
    have hb : CFC.sqrt (Bc*Bc)=Bc := CFC.sqrt_unique rfl hBcNonneg
    exact ha.symm.le.trans (h.trans hb.le)
  have hDiff : (Bc-Ac).IsPositive := (ContinuousLinearMap.le_def _ _).mp hLe
  letI : InnerProductSpace ℝ (Lp ℂ 2 μ) := InnerProductSpace.rclikeToReal ℂ (Lp ℂ 2 μ)
  let e : Lp ℝ 2 μ →ₗᵢ[ℝ] Lp ℂ 2 μ :=
    { toLinearMap := ι.toLinearMap, norm_map' := hNorm }
  have hInner (v w : Lp ℝ 2 μ) : RCLike.re (inner ℂ (ι v) (ι w))=inner ℝ v w := by
    rw [← real_inner_eq_re_inner]
    exact e.inner_map_map v w
  refine ⟨hB.isSymmetric.sub hA.isSymmetric,?_⟩
  intro u
  have h := hDiff.re_inner_nonneg_left (ι u)
  have hAction : (Bc-Ac) (ι u)=ι ((B-A) u) := by
    simp only [ContinuousLinearMap.sub_apply,hBi',hAi',map_sub]
  rw [hAction,hInner] at h
  exact h

end
end AutoSamplingTheory.TechnicalLemmas.Measure.L2RealSquareOrder

Proof architecture

Actual PBPS consumer; no SALD admission

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.
  • `rw` rewrites by an established identity.
  • `simp` normalizes through registered definitional and theorem rewrites.
  • `apply` reduces the goal to the hypotheses of a reusable theorem.
  • `refine` instantiates a reusable theorem while leaving explicit subgoals.
  • `exact` closes the current goal with an already typed term.

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.
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.