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.
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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
Open AutoSamplingTheory/TechnicalLemmas/Measure/L2RealSquareOrder.lean:14published source at ed709a7f320d
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.