Plain-English statement
Independently exact-science70 VERIFIED c46af8a55e89419109f654c4553cf527993cbeed. Same six original analytic callers and twelve witnesses yield actual g=U(P-Pperp)f, internally mean(g)=0, actual conditional gP and polar gV, gP=A0fP-Gamma0fV and gV=Gamma0fP+A0fV, with exact pair-energy conservation. No right-hand-side-defined output, mean premise, extra regularity or sharp-energy68 premise. Rank0/alphaeta1 remain legal. B21 corrector change, B4 dynamics, main, invariance/nonexplosion, errors/caps, expected-query costs/composition and full Exposition/PURIFIED remain open.
Read the mathematics first, then descend into Lean
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Lean statement
theorem actual_projected_rotation
{E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
{V : E → ℝ} {α β : ℝ≥0} {η : ℝ}
(hα : 0 < (α : ℝ)) (hαβ : α ≤ β) (hV : ContDiff ℝ 2 V)
(hH : ∀ x v : E,
(α : ℝ)*‖v‖^2 ≤ (fderiv ℝ (fderiv ℝ V) x v) v ∧
(fderiv ℝ (fderiv ℝ V) x v) v ≤ (β : ℝ)*‖v‖^2)
(hη : 0 < η) (hβη : (β : ℝ)*η ≤ 1) : actual_projected_rotation_statement (E:=E) (V:=V) (α:=α) (β:=β) (η:=η) hα hαβ hV hH hη hβη := by
unfold actual_projected_rotation_statement
classical
let μ := (volume : Measure E).tilted (fun x => -V x)
let J := (μ.prod (stdGaussian E)).map
(fun p : E × E => (p.1,p.1+Real.sqrt η • p.2))
let ν := J.snd
let mY : MeasurableSpace (E × E) := MeasurableSpace.comap Prod.snd (inferInstance : MeasurableSpace E)
letI : MeasurableSpace (E × E) := Prod.instMeasurableSpace
letI : Fact (mY ≤ (inferInstance : MeasurableSpace (E × E))) := ⟨measurable_snd.comap_le⟩
let HP := lpMeas ℝ ℝ mY 2 J
letI : NormedAddCommGroup HP := HP.normedAddCommGroup
letI : InnerProductSpace ℝ HP := HP.innerProductSpace
let P : Lp ℝ 2 J →L[ℝ] Lp ℝ 2 J :=
HP.subtypeL ∘L condExpL2 ℝ ℝ (μ := J) measurable_snd.comap_le
have hBase := AutoSamplingTheory.ExampleCases.ProximalBPS.ReflectionIntertwining.actual_reflection_intertwining
(E:=E) (V:=V) (α:=α) (β:=β) (η:=η) hα hαβ hV hH hη hβη
have parentSlice0 := hBase
have hμ := parentSlice0.1
have parentSlice1 := parentSlice0.2
have hJ := parentSlice1.1
have parentSlice2 := parentSlice1.2
have hν := parentSlice2.1
have parentSlice3 := parentSlice2.2
have hRange := parentSlice3.1
have parentSlice4 := parentSlice3.2
have hPf := parentSlice4.1
have parentSlice5 := parentSlice4.2
obtain ⟨S, parentSlice6⟩ := parentSlice5
have hS := parentSlice6.1
have parentSlice7 := parentSlice6.2
have hSd := parentSlice7.1
have parentSlice8 := parentSlice7.2
have hSc := parentSlice8.1
have parentSlice9 := parentSlice8.2
have hSf := parentSlice9.1
have parentSlice10 := parentSlice9.2
have hSs := parentSlice10.1
have parentSlice11 := parentSlice10.2
obtain ⟨e, parentSlice12⟩ := parentSlice11
have he := parentSlice12.1
have parentSlice13 := parentSlice12.2
obtain ⟨U, parentSlice14⟩ := parentSlice13
have hU := parentSlice14.1
have parentSlice15 := parentSlice14.2
have hUi := parentSlice15.1
have parentSlice16 := parentSlice15.2
have hUs := parentSlice16.1
have parentSlice17 := parentSlice16.2
obtain ⟨T, parentSlice18⟩ := parentSlice17
have hTs := parentSlice18.1
have parentSlice19 := parentSlice18.2
have hAll := parentSlice19.1
have parentSlice20 := parentSlice19.2
have hAeq := parentSlice20.1
have parentSlice21 := parentSlice20.2
have hAs := parentSlice21.1
have parentSlice22 := parentSlice21.2
have hAn := parentSlice22.1
have parentSlice23 := parentSlice22.2
have hPB := parentSlice23.1
have parentSlice24 := parentSlice23.2
obtain ⟨Γ, parentSlice25⟩ := parentSlice24
have hΓ := parentSlice25.1
have parentSlice26 := parentSlice25.2
have hΓSq := parentSlice26.1
have parentSlice27 := parentSlice26.2
have hCommRoot := parentSlice27.1
have parentSlice28 := parentSlice27.2
have hΓP := parentSlice28.1
have parentSlice29 := parentSlice28.2
have hΓPSq := parentSlice29.1
have parentSlice30 := parentSlice29.2
have hCommP := parentSlice30.1
have parentSlice31 := parentSlice30.2
have hGram := parentSlice31.1
have parentSlice32 := parentSlice31.2
obtain ⟨q, parentSlice33⟩ := parentSlice32
have hqa := parentSlice33.1
have parentSlice34 := parentSlice33.2
have hTq := parentSlice34.1
have parentSlice35 := parentSlice34.2
have hq := parentSlice35.1
have parentSlice36 := parentSlice35.2
have hCenter := parentSlice36.1
have parentSlice37 := parentSlice36.2
have hΓPq := parentSlice37.1
have parentSlice38 := parentSlice37.2
have hγ := parentSlice38.1
have parentSlice39 := parentSlice38.2
obtain ⟨ΓP0, parentSlice40⟩ := parentSlice39
have hΓP0 := parentSlice40.1
have parentSlice41 := parentSlice40.2
have hPos0 := parentSlice41.1
have parentSlice42 := parentSlice41.2
have hOrder0 := parentSlice42.1
have parentSlice43 := parentSlice42.2
have hUnit := parentSlice43.1
have parentSlice44 := parentSlice43.2
obtain ⟨Inv, parentSlice45⟩ := parentSlice44
have hLeft := parentSlice45.1
have parentSlice46 := parentSlice45.2
have hRight := parentSlice46.1
have parentSlice47 := parentSlice46.2
have hNormInv := parentSlice47.1
have parentSlice48 := parentSlice47.2
have hInvSelf := parentSlice48.1
have parentSlice49 := parentSlice48.2
obtain ⟨A0, parentSlice50⟩ := parentSlice49
have hA0 := parentSlice50.1
have parentSlice51 := parentSlice50.2
have hA0self := parentSlice51.1
have parentSlice52 := parentSlice51.2
have hComm0 := parentSlice52.1
have parentSlice53 := parentSlice52.2
have hSquare0 := parentSlice53.1
have parentSlice54 := parentSlice53.2
have hCommInv := parentSlice54.1
have parentSlice55 := parentSlice54.2
obtain ⟨B0, parentSlice56⟩ := parentSlice55
have hB0 := parentSlice56.1
have parentSlice57 := parentSlice56.2
obtain ⟨V0, parentSlice58⟩ := parentSlice57
have hVdef := parentSlice58.1
have parentSlice59 := parentSlice58.2
have hFactor := parentSlice59.1
have parentSlice60 := parentSlice59.2
have hVadj := parentSlice60.1
have parentSlice61 := parentSlice60.2
have hVnorm := parentSlice61.1
have parentSlice62 := parentSlice61.2
obtain ⟨R, parentSlice63⟩ := parentSlice62
have hR := parentSlice63.1
have parentSlice64 := parentSlice63.2
have hAmbient := parentSlice64.1
have parentSlice65 := parentSlice64.2
have hDparent := parentSlice65.1
have parentSlice66 := parentSlice65.2
have hIntertwineParent := parentSlice66.1
have hGlobal := parentSlice66.2
let A : HP →L[ℝ] HP := HP.orthogonalProjectionOnto ∘L U.toContinuousLinearMap ∘L HP.subtypeL
let B : HP →L[ℝ] Lp ℝ 2 J :=
(((1 : Lp ℝ 2 J →L[ℝ] Lp ℝ 2 J)-P)*U.toContinuousLinearMap*P) ∘L HP.subtypeL
let ΓP : HP →L[ℝ] HP := e.conjStarAlgEquiv Γ
let qP : HP := e q
let HP0 := (innerSL ℝ qP).ker
letI : NormedAddCommGroup HP0 := HP0.normedAddCommGroup
letI : InnerProductSpace ℝ HP0 := HP0.innerProductSpace
letI : CompleteSpace HP0 := (innerSL ℝ qP).isClosed_ker.completeSpace_coe
let Hperp := P.ker
letI : NormedAddCommGroup Hperp := Hperp.normedAddCommGroup
letI : InnerProductSpace ℝ Hperp := Hperp.innerProductSpace
letI : CompleteSpace Hperp := P.isClosed_ker.completeSpace_coe
change HP0 →L[ℝ] Hperp at B0 V0
change HP0 →L[ℝ] HP0 at ΓP0 Inv A0
change Lp ℝ 2 J →L[ℝ] Hperp at R
change (∀ g : Lp ℝ 2 J, (R g : Lp ℝ 2 J)=g-P g) at hR
change (∀ g : Lp ℝ 2 J,
B.adjoint g=HP0.subtypeL (B0.adjoint (R g))) at hAmbient
change (∀ f : Lp ℝ 2 J, (∫ z, f z ∂J)=0 →
∃ fP : HP0,
HP0.subtypeL fP=condExpL2 ℝ ℝ (μ:=J) measurable_snd.comap_le f ∧
let fperp : Hperp := R f
let fV : HP0 := V0.adjoint fperp
B.adjoint (fperp : Lp ℝ 2 J)=HP0.subtypeL (ΓP0 fV) ∧
HP0.subtypeL (ΓP0 fV)=ΓP (HP0.subtypeL fV) ∧
‖f‖^2=‖fP‖^2+‖fperp‖^2 ∧ ‖fV‖≤‖fperp‖) at hGlobal
let D : Hperp →L[ℝ] Hperp := R ∘L U.toContinuousLinearMap ∘L Hperp.subtypeL
have hD (h : Hperp) : (D h : Lp ℝ 2 J)=
U (h : Lp ℝ 2 J)-P (U (h : Lp ℝ 2 J)) := hDparent h
have hIntertwine : V0.adjoint ∘L D= -(A0 ∘L V0.adjoint) := hIntertwineParent
letI : IsProbabilityMeasure μ := hμ
letI : IsProbabilityMeasure J := hJ
let F : E × E → E × E := fun z => (z.1,(2 : ℝ) • z.1-z.2)
have hFmeas : Measurable F := by fun_prop
have hFJ : Measure.map F J=J :=
(AutoSamplingTheory.ExampleCases.ProximalBPS.GaussianReflection.reflection_preserves_augmentation μ η hη).2
have hUIntegral (u : Lp ℝ 2 J) : (∫ z, U u z ∂J)=∫ z, u z ∂J := by
calc
(∫ z, U u z ∂J)=(∫ z, u (F z) ∂J) := integral_congr_ae (hU u)
_ = (∫ z, u z ∂Measure.map F J) :=
(integral_map hFmeas.aemeasurable (by rw [hFJ]; exact (Lp.memLp u).aestronglyMeasurable)).symm
_ = (∫ z, u z ∂J) := by rw [hFJ]
have hPIntegral (u : Lp ℝ 2 J) : (∫ z, P u z ∂J)=∫ z, u z ∂J := by
change (∫ z, (condExpL2 ℝ ℝ (μ:=J) measurable_snd.comap_le u : E × E → ℝ) z ∂J)=_
simpa only [Measure.restrict_univ] using
(integral_condExpL2_eq (𝕜:=ℝ) (s:=Set.univ) measurable_snd.comap_le u
MeasurableSet.univ (measure_ne_top J Set.univ))
have hIntegrable (u : Lp ℝ 2 J) : Integrable u J :=
MemLp.integrable (by norm_num : (1 : ℝ≥0∞) ≤ 2) (Lp.memLp u)
have hSubIntegral (u v : Lp ℝ 2 J) :
(∫ z, (u-v) z ∂J)=(∫ z, u z ∂J)-(∫ z, v z ∂J) :=
(integral_congr_ae (Lp.coeFn_sub u v)).trans (integral_sub (hIntegrable u) (hIntegrable v))
have hPself : IsSelfAdjoint P := isSelfAdjoint_starProjection HP
let ι : HP0 →L[ℝ] Lp ℝ 2 J := HP.subtypeL ∘L HP0.subtypeL
have hPι (u : HP0) : P (ι u)=ι u := hPf (u : HP)
have hOrth (u : HP0) (h : Hperp) : inner ℝ (ι u) (h : Lp ℝ 2 J)=0 := by
calc
inner ℝ (ι u) (h : Lp ℝ 2 J)=inner ℝ (P (ι u)) (h : Lp ℝ 2 J) := by rw [hPι]
_ = inner ℝ (ι u) (P (h : Lp ℝ 2 J)) := hPself.isSymmetric _ _
_ = 0 := by rw [show P (h : Lp ℝ 2 J)=0 from h.property,inner_zero_right]
have hMacro (u : HP0) : P (U (ι u))=ι (A0 u) := by
change (A (u : HP) : Lp ℝ 2 J)=((A0 u : HP) : Lp ℝ 2 J)
exact congrArg (fun x : HP => (x : Lp ℝ 2 J)) (hA0 u).symm
have hMicro (u : HP0) : (B0 u : Lp ℝ 2 J)=U (ι u)-P (U (ι u)) := by
rw [hB0]
change U (P (ι u))-P (U (P (ι u)))=U (ι u)-P (U (ι u))
rw [hPι]
have hUι (u : HP0) : U (ι u)=ι (A0 u)+(B0 u : Lp ℝ 2 J) := by
rw [hMicro,←hMacro]
abel
have hRmicro (h : Hperp) : R (h : Lp ℝ 2 J)=h := by
apply Subtype.ext
rw [hR,show P (h : Lp ℝ 2 J)=0 from h.property,sub_zero]
have hRUm (u : HP0) : R (U (ι u))=B0 u := by
apply Subtype.ext
rw [hR]
exact (hMicro u).symm
have hVadjB (u : HP0) : V0.adjoint (B0 u)=ΓP0 u := by
have hb := DFunLike.congr_fun hFactor u
change B0 u=V0 (ΓP0 u) at hb
rw [hb]
exact DFunLike.congr_fun hVadj (ΓP0 u)
have hΓself : IsSelfAdjoint ΓP0 := (show ΓP0.IsPositive from hPos0).isSelfAdjoint
have hEnergy (u : HP0) : ‖A0 u‖^2+‖ΓP0 u‖^2=‖u‖^2 := by
have h := congrArg (fun L : HP0 →L[ℝ] HP0 => inner ℝ (L u) u) hSquare0
simp only [ContinuousLinearMap.add_apply,ContinuousLinearMap.mul_apply,
ContinuousLinearMap.one_apply,inner_add_left] at h
have ha : inner ℝ (A0 (A0 u)) u=‖A0 u‖^2 :=
(hA0self.isSymmetric (A0 u) u).trans (real_inner_self_eq_norm_sq _)
have hg : inner ℝ (ΓP0 (ΓP0 u)) u=‖ΓP0 u‖^2 :=
(hΓself.isSymmetric (ΓP0 u) u).trans (real_inner_self_eq_norm_sq _)
rw [ha,hg,real_inner_self_eq_norm_sq] at h
exact h
have hCross (u v : HP0) : inner ℝ (A0 u) (ΓP0 v)=inner ℝ (ΓP0 u) (A0 v) := by
calc
inner ℝ (A0 u) (ΓP0 v)=inner ℝ u (A0 (ΓP0 v)) := hA0self.isSymmetric _ _
_ = inner ℝ u (ΓP0 (A0 v)) := congrArg (fun z : HP0 => inner ℝ u z) (DFunLike.congr_fun hComm0.eq v)
_ = inner ℝ (ΓP0 u) (A0 v) := (hΓself.isSymmetric _ _).symm
have hGlobal70 :
(∀ f : Lp ℝ 2 J, (∫ z, f z ∂J)=0 →
∃ fP : HP0,
HP0.subtypeL fP=condExpL2 ℝ ℝ (μ:=J) measurable_snd.comap_le f ∧
let fperp : Hperp := R f
let fV : HP0 := V0.adjoint fperp
B.adjoint (fperp : Lp ℝ 2 J)=HP0.subtypeL (ΓP0 fV) ∧
HP0.subtypeL (ΓP0 fV)=ΓP (HP0.subtypeL fV) ∧
‖f‖^2=‖fP‖^2+‖fperp‖^2 ∧ ‖fV‖≤‖fperp‖ ∧
let g : Lp ℝ 2 J := U (P f-(f-P f))
(∫ z, g z ∂J)=0 ∧
∃ gP : HP0,
HP0.subtypeL gP=condExpL2 ℝ ℝ (μ:=J) measurable_snd.comap_le g ∧
let gperp : Hperp := R g
let gV : HP0 := V0.adjoint gperp
gP=A0 fP-ΓP0 fV ∧
gV=ΓP0 fP+A0 fV ∧
‖gP‖^2+‖gV‖^2=‖fP‖^2+‖fV‖^2) := by
intro f hf
obtain ⟨fP,hfP,hBf,hΓf,hBudget,hVBudget⟩ := hGlobal f hf
let fperp : Hperp := R f
let fV : HP0 := V0.adjoint fperp
change B.adjoint (fperp : Lp ℝ 2 J)=HP0.subtypeL (ΓP0 fV) at hBf
have hPfp : P f=ι fP :=
(congrArg (fun x : HP => (x : Lp ℝ 2 J)) hfP).symm
have hB0adjMicro : B0.adjoint fperp=ΓP0 fV := by
apply Subtype.ext
have h := (hAmbient (fperp : Lp ℝ 2 J)).symm.trans hBf
rw [hRmicro] at h
exact h
let g : Lp ℝ 2 J := U (P f-(f-P f))
have hgMean : (∫ z, g z ∂J)=0 := by
change (∫ z, U (P f-(f-P f)) z ∂J)=0
rw [hUIntegral]
simp only [hSubIntegral,hPIntegral,hf,sub_self]
obtain ⟨gP,hgP,hgtail⟩ := hGlobal g hgMean
have hPgp : P g=ι gP :=
(congrArg (fun x : HP => (x : Lp ℝ 2 J)) hgP).symm
have hInput : P f-(f-P f)=ι fP-(fperp : Lp ℝ 2 J) := by
change P f-(f-P f)=ι fP-(R f : Lp ℝ 2 J)
rw [hR f,hPfp]
have hgPformula : gP=A0 fP-ΓP0 fV := by
apply ext_inner_left ℝ
intro u
calc
inner ℝ u gP=inner ℝ (ι u) (ι gP) := rfl
_ = inner ℝ (ι u) (P g) := by rw [hPgp]
_ = inner ℝ (P (ι u)) g := (hPself.isSymmetric _ _).symm
_ = inner ℝ (ι u) g := by rw [hPι]
_ = inner ℝ (U (ι u)) (ι fP-(fperp : Lp ℝ 2 J)) := by
change inner ℝ (ι u) (U (P f-(f-P f)))=_
rw [hInput]
exact (hUs.isSymmetric _ _).symm
_ = inner ℝ (A0 u) fP-inner ℝ (B0 u) fperp := by
rw [hUι,inner_add_left,inner_sub_right,inner_sub_right,
hOrth (A0 u) fperp,
show inner ℝ (B0 u : Lp ℝ 2 J) (ι fP)=0 from
(real_inner_comm _ _).trans (hOrth fP (B0 u))]
change (inner ℝ (A0 u) fP-0)+(0-inner ℝ (B0 u) fperp)=_
ring
_ = inner ℝ u (A0 fP)-inner ℝ u (ΓP0 fV) := by
have ha : inner ℝ (A0 u) fP=inner ℝ u (A0 fP) := hA0self.isSymmetric u fP
have hb : inner ℝ (B0 u) fperp=inner ℝ u (ΓP0 fV) :=
(B0.adjoint_inner_right u fperp).symm.trans
(congrArg (fun z : HP0 => inner ℝ u z) hB0adjMicro)
exact congrArg₂ (fun x y : ℝ => x-y) ha hb
_ = inner ℝ u (A0 fP-ΓP0 fV) := (inner_sub_right _ _ _).symm
have hgVformula : V0.adjoint (R g)=ΓP0 fP+A0 fV := by
change V0.adjoint (R (U (P f-(f-P f))))=_
rw [hInput,map_sub,map_sub,hRUm,map_sub,hVadjB]
have hd := DFunLike.congr_fun hIntertwine fperp
change V0.adjoint (D fperp)= -(A0 fV) at hd
change ΓP0 fP-V0.adjoint (D fperp)=_
rw [hd,sub_neg_eq_add]
have hgEnergy : ‖gP‖^2+‖V0.adjoint (R g)‖^2=‖fP‖^2+‖fV‖^2 := by
rw [hgPformula,hgVformula,norm_sub_sq_real,norm_add_sq_real,hCross]
nlinarith only [hEnergy fP,hEnergy fV]
exact ⟨fP,hfP,hBf,hΓf,hBudget,hVBudget,hgMean,gP,hgP,hgPformula,hgVformula,hgEnergy⟩
have hFinal :
(∀ h : Hperp, (D h : Lp ℝ 2 J)=U (h : Lp ℝ 2 J)-P (U (h : Lp ℝ 2 J))) ∧
V0.adjoint ∘L D= -(A0 ∘L V0.adjoint) ∧
(∀ f : Lp ℝ 2 J, (∫ z, f z ∂J)=0 →
∃ fP : HP0,
HP0.subtypeL fP=condExpL2 ℝ ℝ (μ:=J) measurable_snd.comap_le f ∧
let fperp : Hperp := R f
let fV : HP0 := V0.adjoint fperp
B.adjoint (fperp : Lp ℝ 2 J)=HP0.subtypeL (ΓP0 fV) ∧
HP0.subtypeL (ΓP0 fV)=ΓP (HP0.subtypeL fV) ∧
‖f‖^2=‖fP‖^2+‖fperp‖^2 ∧ ‖fV‖≤‖fperp‖ ∧
let g : Lp ℝ 2 J := U (P f-(f-P f))
(∫ z, g z ∂J)=0 ∧
∃ gP : HP0,
HP0.subtypeL gP=condExpL2 ℝ ℝ (μ:=J) measurable_snd.comap_le g ∧
let gperp : Hperp := R g
let gV : HP0 := V0.adjoint gperp
gP=A0 fP-ΓP0 fV ∧
gV=ΓP0 fP+A0 fV ∧
‖gP‖^2+‖gV‖^2=‖fP‖^2+‖fV‖^2) := ⟨hD,hIntertwine,hGlobal70⟩
refine ⟨hμ, ?_⟩
refine ⟨hJ, ?_⟩
refine ⟨hν, ?_⟩
refine ⟨hRange, ?_⟩
refine ⟨hPf, ?_⟩
refine ⟨S, ?_⟩
refine ⟨hS, ?_⟩
refine ⟨hSd, ?_⟩
refine ⟨hSc, ?_⟩
refine ⟨hSf, ?_⟩
refine ⟨hSs, ?_⟩
refine ⟨e, ?_⟩
refine ⟨he, ?_⟩
refine ⟨U, ?_⟩
refine ⟨hU, ?_⟩
refine ⟨hUi, ?_⟩
refine ⟨hUs, ?_⟩
refine ⟨T, ?_⟩
refine ⟨hTs, ?_⟩
refine ⟨hAll, ?_⟩
refine ⟨hAeq, ?_⟩
refine ⟨hAs, ?_⟩
refine ⟨hAn, ?_⟩
refine ⟨hPB, ?_⟩
refine ⟨Γ, ?_⟩
refine ⟨hΓ, ?_⟩
refine ⟨hΓSq, ?_⟩
refine ⟨hCommRoot, ?_⟩
refine ⟨hΓP, ?_⟩
refine ⟨hΓPSq, ?_⟩
refine ⟨hCommP, ?_⟩
refine ⟨hGram, ?_⟩
refine ⟨q, ?_⟩
refine ⟨hqa, ?_⟩
refine ⟨hTq, ?_⟩
refine ⟨hq, ?_⟩
refine ⟨hCenter, ?_⟩
refine ⟨hΓPq, ?_⟩
refine ⟨hγ, ?_⟩
refine ⟨ΓP0, ?_⟩
refine ⟨hΓP0, ?_⟩
refine ⟨hPos0, ?_⟩
refine ⟨hOrder0, ?_⟩
refine ⟨hUnit, ?_⟩
refine ⟨Inv, ?_⟩
refine ⟨hLeft, ?_⟩
refine ⟨hRight, ?_⟩
refine ⟨hNormInv, ?_⟩
refine ⟨hInvSelf,A0,hA0,hA0self,hComm0,hSquare0,hCommInv,?_⟩
refine ⟨B0, ?_⟩
refine ⟨hB0, ?_⟩
refine ⟨V0, ?_⟩
refine ⟨hVdef, ?_⟩
refine ⟨hFactor, ?_⟩
refine ⟨hVadj, ?_⟩
refine ⟨hVnorm, ?_⟩
refine ⟨R, ?_⟩
refine ⟨hR, ?_⟩
refine ⟨hAmbient, ?_⟩
exact hFinal
end
end AutoSamplingTheory.ExampleCases.ProximalBPS.ActualProjectedRotation
#print axioms AutoSamplingTheory.ExampleCases.ProximalBPS.ActualProjectedRotation.actual_projected_rotation
Open AutoSamplingTheory/ExampleCases/ProximalBPS/ActualProjectedRotation.lean:135published source at ed709a7f320d
Proof architecture
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.
- `calc` records an equality or inequality chain matching a paper calculation.
- `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.
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.
- Totalized `fderiv` values must not be read as a differentiability theorem.
- Almost-everywhere hypotheses depend on the stated measure and representative.