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import OAI.Dynamics.MultipleMixing.Joinings
namespace OAI
noncomputable section
namespace Rokhlin
section
open MeasureTheory
open scoped InnerProductSpace
variable {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y]
{μ : Measure X} {ν : Measure Y} [SFinite μ] [SFinite ν]
omit [SFinite μ] in
lemma memLp_tensor (g : Lp ℂ 2 μ) (h : Lp ℂ 2 ν) :
MemLp (fun p : X × Y => g p.1 * h p.2) 2 (μ.prod ν) := by
apply (memLp_two_iff_integrable_sq_norm
((g.1.stronglyMeasurable.comp_measurable measurable_fst).mul
(h.1.stronglyMeasurable.comp_measurable measurable_snd)).aestronglyMeasurable).mpr
change Integrable (fun p : X × Y => ‖g p.1 * h p.2‖ ^ 2) (μ.prod ν)
simp only [norm_mul, mul_pow]
exact ((Lp.memLp g).integrable_norm_pow (by norm_num : (2 : ℕ) ≠ 0)).mul_prod
((Lp.memLp h).integrable_norm_pow (by norm_num : (2 : ℕ) ≠ 0))
def tensorLp (g : Lp ℂ 2 μ) (h : Lp ℂ 2 ν) : Lp ℂ 2 (μ.prod ν) :=
(memLp_tensor g h).toLp _
omit [SFinite μ] in
lemma coe_tensorLp (g : Lp ℂ 2 μ) (h : Lp ℂ 2 ν) :
(tensorLp g h : X × Y → ℂ) =ᵐ[μ.prod ν] (fun p => g p.1 * h p.2) :=
MemLp.coeFn_toLp _
lemma tensorLp_inner (g g' : Lp ℂ 2 μ) (h h' : Lp ℂ 2 ν) :
inner ℂ (tensorLp g h) (tensorLp g' h') = inner ℂ g g' * inner ℂ h h' := by
rw [L2.inner_def, L2.inner_def g g', L2.inner_def h h', ← integral_prod_mul]
apply integral_congr_ae
filter_upwards [coe_tensorLp g h, coe_tensorLp g' h'] with p hp hp'
rw [hp, hp']
simp only [RCLike.inner_apply, map_mul]
ring
lemma tensorLp_norm (g : Lp ℂ 2 μ) (h : Lp ℂ 2 ν) :
‖tensorLp g h‖ = ‖g‖ * ‖h‖ := by
apply (sq_eq_sq₀ (norm_nonneg _) (mul_nonneg (norm_nonneg _) (norm_nonneg _))).mp
rw [← inner_self_eq_norm_sq (𝕜 := ℂ), tensorLp_inner]
simp only [inner_self_eq_norm_sq_to_K]
change ((‖g‖ : ℂ) ^ 2 * (‖h‖ : ℂ) ^ 2).re = _
simp only [← Complex.ofReal_pow, ← Complex.ofReal_mul, Complex.ofReal_re, mul_pow]
omit [SFinite μ] in
lemma tensorLp_add_left (g g' : Lp ℂ 2 μ) (h : Lp ℂ 2 ν) :
tensorLp (g + g') h = tensorLp g h + tensorLp g' h := by
apply Lp.ext
have hf : Measure.QuasiMeasurePreserving Prod.fst (μ.prod ν) μ :=
Measure.quasiMeasurePreserving_fst
filter_upwards [coe_tensorLp (g + g') h, coe_tensorLp g h, coe_tensorLp g' h,
Lp.coeFn_add (tensorLp g h) (tensorLp g' h), hf.ae (Lp.coeFn_add g g')]
with p ha hb hc hd he
simp only [Pi.add_apply] at hd he
rw [ha, hd, hb, hc, he, add_mul]
omit [SFinite μ] in
lemma tensorLp_smul_left (c : ℂ) (g : Lp ℂ 2 μ) (h : Lp ℂ 2 ν) :
tensorLp (c • g) h = c • tensorLp g h := by
apply Lp.ext
have hf : Measure.QuasiMeasurePreserving Prod.fst (μ.prod ν) μ :=
Measure.quasiMeasurePreserving_fst
filter_upwards [coe_tensorLp (c • g) h, coe_tensorLp g h,
Lp.coeFn_smul c (tensorLp g h), hf.ae (Lp.coeFn_smul c g)] with p ha hb hc hd
simp only [Pi.smul_apply] at hc hd
rw [ha, hc, hb, hd]
simp only [smul_eq_mul, mul_assoc]
omit [SFinite μ] in
lemma tensorLp_add_right (g : Lp ℂ 2 μ) (h h' : Lp ℂ 2 ν) :
tensorLp g (h + h') = tensorLp g h + tensorLp g h' := by
apply Lp.ext
have hf : Measure.QuasiMeasurePreserving Prod.snd (μ.prod ν) ν :=
Measure.quasiMeasurePreserving_snd
filter_upwards [coe_tensorLp g (h + h'), coe_tensorLp g h, coe_tensorLp g h',
Lp.coeFn_add (tensorLp g h) (tensorLp g h'), hf.ae (Lp.coeFn_add h h')]
with p ha hb hc hd he
simp only [Pi.add_apply] at hd he
rw [ha, hd, hb, hc, he, mul_add]
omit [SFinite μ] in
lemma tensorLp_smul_right (c : ℂ) (g : Lp ℂ 2 μ) (h : Lp ℂ 2 ν) :
tensorLp g (c • h) = c • tensorLp g h := by
apply Lp.ext
have hf : Measure.QuasiMeasurePreserving Prod.snd (μ.prod ν) ν :=
Measure.quasiMeasurePreserving_snd
filter_upwards [coe_tensorLp g (c • h), coe_tensorLp g h,
Lp.coeFn_smul c (tensorLp g h), hf.ae (Lp.coeFn_smul c h)] with p ha hb hc hd
simp only [Pi.smul_apply] at hc hd
rw [ha, hc, hb, hd]
simp only [smul_eq_mul]
ring
end
namespace JoiningOperator
open MeasureTheory ProbabilityTheory ContinuousLinearMap
open scoped InnerProductSpace ENNReal
variable {Ω U X Y : Type*} [MeasurableSpace Ω] [MeasurableSpace U]
[MeasurableSpace X] [MeasurableSpace Y] {μ : Measure Ω}
{η : Measure U} {ν : Measure X} {ρ : Measure Y}
{u : Ω → U} {x : Ω → X} {y : Ω → Y}
[SFinite η] [SFinite ρ]
def contraction (hx : MeasurePreserving x μ ν)
(huy : MeasurePreserving (fun ω => (u ω, y ω)) μ (η.prod ρ))
(g : Lp ℂ 2 η) (h : Lp ℂ 2 ρ) : Lp ℂ 2 ν :=
operator hx huy (tensorLp g h)
lemma contraction_norm_le (hx : MeasurePreserving x μ ν)
(huy : MeasurePreserving (fun ω => (u ω, y ω)) μ (η.prod ρ))
(g : Lp ℂ 2 η) (h : Lp ℂ 2 ρ) : ‖contraction hx huy g h‖ ≤ ‖g‖ * ‖h‖ := by
calc
_ ≤ ‖operator hx huy‖ * ‖tensorLp g h‖ := (operator hx huy).le_opNorm _
_ ≤ ‖tensorLp g h‖ := by grw [operator_norm_le]; simp
_ = _ := tensorLp_norm g h
omit [SFinite η] in
lemma contraction_inner (hx : MeasurePreserving x μ ν)
(huy : MeasurePreserving (fun ω => (u ω, y ω)) μ (η.prod ρ))
(f : Lp ℂ 2 ν) (g : Lp ℂ 2 η) (h : Lp ℂ 2 ρ) :
inner ℂ f (contraction hx huy g h) =
∫ ω, g (u ω) * inner ℂ (f (x ω)) (h (y ω)) ∂μ := by
rw [contraction, inner_operator]
apply integral_congr_ae
filter_upwards [huy.quasiMeasurePreserving.ae (coe_tensorLp g h)] with ω hω
rw [hω]
simp only [RCLike.inner_apply]
ring
omit [SFinite η] in
lemma contraction_integrand (hx : MeasurePreserving x μ ν)
(huy : MeasurePreserving (fun ω => (u ω, y ω)) μ (η.prod ρ))
(f : Lp ℂ 2 ν) (g : Lp ℂ 2 η) (h : Lp ℂ 2 ρ) :
Integrable (fun ω => g (u ω) * inner ℂ (f (x ω)) (h (y ω))) μ := by
apply (integrable_inner_comp hx huy f (tensorLp g h)).congr
filter_upwards [huy.quasiMeasurePreserving.ae (coe_tensorLp g h)] with ω hω
rw [hω]
simp only [RCLike.inner_apply]
ring
variable [IsFiniteMeasure η] [SecondCountableTopology (Lp ℂ 2 ν)]
{κ : Kernel U (X × Y)} [IsMarkovKernel κ]
omit [SFinite η] [SFinite ρ] [IsMarkovKernel κ] in
lemma family_weight_integrable
(hm : ∀ᵐ a ∂η, MeasurePreserving Prod.fst (κ a) ν ∧ MeasurePreserving Prod.snd (κ a) ρ)
(g : Lp ℂ 2 η) (h : Lp ℂ 2 ρ) :
Integrable (fun a => g a • family κ ν ρ a h) η := by
apply ((Lp.memLp g).integrable (by norm_num : (1 : ℝ≥0∞) ≤ 2)).smul_bdd ‖h‖
(family_aestronglyMeasurable hm h)
filter_upwards with a
calc
_ ≤ ‖family κ ν ρ a‖ * ‖h‖ := (family κ ν ρ a).le_opNorm h
_ ≤ _ := by grw [family_norm_le]; simp
omit [SFinite η] in
lemma contraction_integral (hu : MeasurePreserving u μ η)
(hx : MeasurePreserving x μ ν)
(huy : MeasurePreserving (fun ω => (u ω, y ω)) μ (η.prod ρ))
(hκ : HasCondDistrib (fun ω => (x ω, y ω)) u κ μ)
(hm : ∀ᵐ a ∂η, MeasurePreserving Prod.fst (κ a) ν ∧ MeasurePreserving Prod.snd (κ a) ρ)
(g : Lp ℂ 2 η) (h : Lp ℂ 2 ρ) :
contraction hx huy g h = ∫ a, g a • family κ ν ρ a h ∂η := by
have : IsFiniteMeasure (μ.map u) := hu.map_eq.symm ▸ inferInstance
apply ext_inner_left ℂ
intro f
rw [contraction_inner, ← integral_inner (family_weight_integrable hm g h)]
let F : U × (X × Y) → ℂ := fun p => g p.1 * inner ℂ (f p.2.1) (h p.2.2)
have hFm : StronglyMeasurable F :=
(g.1.stronglyMeasurable.comp_measurable (by fun_prop)).mul
((f.1.stronglyMeasurable.comp_measurable (by fun_prop)).inner
(h.1.stronglyMeasurable.comp_measurable (by fun_prop)))
have hFi : Integrable F (μ.map u ⊗ₘ κ) := by
rw [← hκ.map_eq]
apply (integrable_map_measure hFm.aestronglyMeasurable hκ.aemeasurable).mpr
exact contraction_integrand hx huy f g h
calc
_ = ∫ p, F p ∂μ.map u ⊗ₘ κ := hκ.integral_comp hFm.aestronglyMeasurable
_ = ∫ a, ∫ p, F (a,p) ∂κ a ∂μ.map u := Measure.integral_compProd hFi
_ = ∫ a, g a * (∫ p, inner ℂ (f p.1) (h p.2) ∂κ a) ∂η := by
rw [hu.map_eq]
simp only [F, integral_const_mul]
_ = _ := by
apply integral_congr_ae
filter_upwards [family_inner hm f h] with a ha
rw [inner_smul_right, ha]
omit [SFinite η] in
lemma contraction_projection (hu : MeasurePreserving u μ η)
(hx : MeasurePreserving x μ ν)
(huy : MeasurePreserving (fun ω => (u ω, y ω)) μ (η.prod ρ))
(hκ : HasCondDistrib (fun ω => (x ω, y ω)) u κ μ)
(hm : ∀ᵐ a ∂η, MeasurePreserving Prod.fst (κ a) ν ∧ MeasurePreserving Prod.snd (κ a) ρ)
(P : Lp ℂ 2 ν →L[ℂ] Lp ℂ 2 ν) (Q : Lp ℂ 2 ρ →L[ℂ] Lp ℂ 2 ρ)
(hPQ : ∀ᵐ a ∂η, P ∘L family κ ν ρ a = family κ ν ρ a ∘L Q)
(g : Lp ℂ 2 η) (h : Lp ℂ 2 ρ) :
P (contraction hx huy g h) = contraction hx huy g (Q h) := by
rw [contraction_integral hu hx huy hκ hm,
contraction_integral hu hx huy hκ hm,
← P.integral_comp_comm (family_weight_integrable hm g h)]
apply integral_congr_ae
filter_upwards [hPQ] with a ha
rw [map_smul]
exact congrArg (g a • ·) (congrArg (fun L : Lp ℂ 2 ρ →L[ℂ] Lp ℂ 2 ν => L h) ha)
end JoiningOperator
section
open MeasureTheory
open scoped InnerProductSpace ENNReal
variable {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y]
{μ : Measure X} {ν : Measure Y} [IsFiniteMeasure μ] [IsFiniteMeasure ν]
lemma tensorLp_indicator (A : Set X) (hA : MeasurableSet A) (B : Set Y) (hB : MeasurableSet B) :
tensorLp (indicatorConstLp 2 hA (measure_ne_top μ A) (1 : ℂ))
(indicatorConstLp 2 hB (measure_ne_top ν B) (1 : ℂ)) =
indicatorConstLp 2 (hA.prod hB) (measure_ne_top (μ.prod ν) _) (1 : ℂ) := by
apply Lp.ext
have hf : Measure.QuasiMeasurePreserving Prod.fst (μ.prod ν) μ :=
Measure.quasiMeasurePreserving_fst
have hs : Measure.QuasiMeasurePreserving Prod.snd (μ.prod ν) ν :=
Measure.quasiMeasurePreserving_snd
filter_upwards [coe_tensorLp (indicatorConstLp 2 hA (measure_ne_top μ A) (1 : ℂ))
(indicatorConstLp 2 hB (measure_ne_top ν B) (1 : ℂ)),
hf.ae (indicatorConstLp_coeFn (p := 2) (hs := hA) (hμs := measure_ne_top μ A) (c := (1 : ℂ))),
hs.ae (indicatorConstLp_coeFn (p := 2) (hs := hB) (hμs := measure_ne_top ν B) (c := (1 : ℂ))),
indicatorConstLp_coeFn (p := 2) (hs := hA.prod hB) (hμs := measure_ne_top (μ.prod ν) _) (c := (1 : ℂ))]
with p ht hp hq hr
rw [ht, hp, hq, hr]
by_cases ha : p.1 ∈ A <;> by_cases hb : p.2 ∈ B <;> simp [ha, hb]
lemma dense_tensorLp :
(Submodule.span ℂ (Set.range (fun p : Lp ℂ 2 μ × Lp ℂ 2 ν => tensorLp p.1 p.2))).topologicalClosure = ⊤ := by
let S := Submodule.span ℂ (Set.range (fun p : Lp ℂ 2 μ × Lp ℂ 2 ν => tensorLp p.1 p.2))
have hS : Sᗮ = ⊥ := by
apply eq_bot_iff.mpr
intro f hf
change f = 0
apply Lp.ext
apply (JoiningOperator.ae_eq_zero_of_rectangles
((Lp.memLp f).integrable (by norm_num : (1 : ℝ≥0∞) ≤ 2)) ?_).trans
(Lp.coeFn_zero _ _ _).symm
intro A B hA hB
rw [← L2.inner_indicatorConstLp_one (hA.prod hB) (measure_ne_top _ _), ← tensorLp_indicator A hA B hB]
exact S.inner_right_of_mem_orthogonal
(Submodule.subset_span ⟨(_, _), rfl⟩) hf
rw [← Submodule.orthogonal_orthogonal_eq_closure, hS, Submodule.bot_orthogonal_eq_top]
end
section
open MeasureTheory ContinuousLinearMap
open scoped InnerProductSpace
variable {X Y H : Type*} [MeasurableSpace X] [MeasurableSpace Y]
{μ : Measure X} {ν : Measure Y} [IsFiniteMeasure μ] [IsFiniteMeasure ν]
[NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]
omit [CompleteSpace H] in
lemma closure_tensor_image (A : Lp ℂ 2 (μ.prod ν) →L[ℂ] H) :
(Submodule.span ℂ (Set.range (fun p : Lp ℂ 2 μ × Lp ℂ 2 ν => A (tensorLp p.1 p.2)))).topologicalClosure =
(LinearMap.range A.toLinearMap).topologicalClosure := by
let S := (Submodule.span ℂ (Set.range (fun p : Lp ℂ 2 μ × Lp ℂ 2 ν => A (tensorLp p.1 p.2)))).topologicalClosure
apply le_antisymm
· apply Submodule.topologicalClosure_minimal
· apply Submodule.span_le.mpr
rintro z ⟨⟨g,h⟩, rfl⟩
exact (Submodule.le_topologicalClosure _) ⟨tensorLp g h, rfl⟩
· exact Submodule.isClosed_topologicalClosure _
· apply Submodule.topologicalClosure_minimal
· rintro z ⟨v,rfl⟩
have hclosed : IsClosed (S.comap A.toLinearMap : Set (Lp ℂ 2 (μ.prod ν))) :=
(Submodule.isClosed_topologicalClosure _).preimage A.continuous
have ht : (⊤ : Submodule ℂ (Lp ℂ 2 (μ.prod ν))) ≤ S.comap A.toLinearMap := by
rw [← dense_tensorLp]
apply Submodule.topologicalClosure_minimal _ (Submodule.span_le.mpr ?_) hclosed
rintro z ⟨⟨g,h⟩,rfl⟩
exact (Submodule.le_topologicalClosure _) (Submodule.subset_span ⟨(g,h),rfl⟩)
exact ht (Submodule.mem_top : v ∈ (⊤ : Submodule ℂ (Lp ℂ 2 (μ.prod ν))))
· exact Submodule.isClosed_topologicalClosure _
omit [CompleteSpace H] in
lemma restricted_contractions_span (A : Lp ℂ 2 (μ.prod ν) →L[ℂ] H)
(D : Submodule ℂ H) [D.HasOrthogonalProjection]
(P : Lp ℂ 2 μ →L[ℂ] Lp ℂ 2 μ) (Q : Lp ℂ 2 ν →L[ℂ] Lp ℂ 2 ν)
(hA : D ≤ (LinearMap.range A.toLinearMap).topologicalClosure)
(hPQ : ∀ g h, D.starProjection (A (tensorLp g h)) = A (tensorLp (P g) (Q h))) :
(Submodule.span ℂ (Set.range (fun p : Lp ℂ 2 μ × Lp ℂ 2 ν => A (tensorLp (P p.1) (Q p.2))))).topologicalClosure = D := by
let S := (Submodule.span ℂ (Set.range (fun p : Lp ℂ 2 μ × Lp ℂ 2 ν => A (tensorLp (P p.1) (Q p.2))))).topologicalClosure
have hDS : ∀ v ∈ (LinearMap.range A.toLinearMap).topologicalClosure,
D.starProjection v ∈ S := by
intro v hv
have hclosed : IsClosed (S.comap D.starProjection.toLinearMap : Set H) :=
(Submodule.isClosed_topologicalClosure _).preimage D.starProjection.continuous
have hh : (LinearMap.range A.toLinearMap).topologicalClosure ≤ S.comap D.starProjection.toLinearMap := by
rw [← closure_tensor_image A]
apply Submodule.topologicalClosure_minimal _ (Submodule.span_le.mpr ?_) hclosed
rintro z ⟨⟨g,h⟩,rfl⟩
change D.starProjection (A (tensorLp g h)) ∈ S
rw [hPQ]
exact (Submodule.le_topologicalClosure _) (Submodule.subset_span ⟨(g,h),rfl⟩)
exact hh hv
apply le_antisymm
· apply Submodule.topologicalClosure_minimal
· apply Submodule.span_le.mpr
rintro z ⟨⟨g,h⟩,rfl⟩
change A (tensorLp (P g) (Q h)) ∈ D
rw [← hPQ]
exact D.starProjection_apply_mem _
· exact D.isTopCompl_orthogonal.isClosed
· intro v hv
have hh := hDS v (hA hv)
rwa [D.starProjection_eq_self_iff.mpr hv] at hh
end
namespace JoiningOperator
open MeasureTheory ProbabilityTheory ContinuousLinearMap
open scoped InnerProductSpace ENNReal
variable {Ω U X Y : Type*} [MeasurableSpace Ω] [MeasurableSpace U]
[MeasurableSpace X] [MeasurableSpace Y] {μ : Measure Ω}
{η : Measure U} {ν : Measure X} {ρ : Measure Y}
{u : Ω → U} {x : Ω → X} {y : Ω → Y}
lemma contraction_swap [SFinite η] [SFinite ρ] (hx : MeasurePreserving x μ ν)
(huy : MeasurePreserving (fun ω => (u ω,y ω)) μ (η.prod ρ))
(hyu : MeasurePreserving (fun ω => (y ω,u ω)) μ (ρ.prod η))
(g : Lp ℂ 2 η) (h : Lp ℂ 2 ρ) :
contraction hx huy g h = contraction hx hyu h g := by
apply ext_inner_left ℂ
intro f
rw [contraction_inner,contraction_inner]
apply integral_congr_ae
filter_upwards with ω
simp only [RCLike.inner_apply]
ring
lemma contraction_projection_both
[IsFiniteMeasure η] [IsFiniteMeasure ρ]
(hx : MeasurePreserving x μ ν)
(huy : MeasurePreserving (fun ω => (u ω,y ω)) μ (η.prod ρ))
(hyu : MeasurePreserving (fun ω => (y ω,u ω)) μ (ρ.prod η))
(D : Submodule ℂ (Lp ℂ 2 ν)) [D.HasOrthogonalProjection]
(P : Submodule ℂ (Lp ℂ 2 η)) [P.HasOrthogonalProjection]
(Q : Submodule ℂ (Lp ℂ 2 ρ)) [Q.HasOrthogonalProjection]
(hr : ∀ g h, D.starProjection (contraction hx huy g h) = contraction hx huy g (Q.starProjection h))
(hl : ∀ h g, D.starProjection (contraction hx hyu h g) = contraction hx hyu h (P.starProjection g))
(g : Lp ℂ 2 η) (h : Lp ℂ 2 ρ) :
D.starProjection (contraction hx huy g h) =
contraction hx huy (P.starProjection g) (Q.starProjection h) := by
calc
_ = D.starProjection (D.starProjection (contraction hx huy g h)) := by
rw [D.starProjection_eq_self_iff.mpr (D.starProjection_apply_mem _)]
_ = D.starProjection (contraction hx huy g (Q.starProjection h)) := by rw [hr]
_ = D.starProjection (contraction hx hyu (Q.starProjection h) g) := by rw [contraction_swap hx huy hyu]
_ = contraction hx hyu (Q.starProjection h) (P.starProjection g) := hl _ _
_ = _ := contraction_swap hx hyu huy _ _
lemma active_eq_essentialRange_product [IsProbabilityMeasure μ]
[SecondCountableTopology (Lp ℂ 2 ρ)]
{κ : Kernel U (X × Y)} [IsMarkovKernel κ]
(hu : MeasurePreserving u μ η) (hx : MeasurePreserving x μ ν)
(hy : MeasurePreserving y μ ρ)
(huy : MeasurePreserving (fun ω => (u ω,y ω)) μ (η.prod ρ))
(hκ : HasCondDistrib (fun ω => (x ω,y ω)) u κ μ)
(hm : ∀ᵐ a ∂η, MeasurePreserving Prod.fst (κ a) ν ∧ MeasurePreserving Prod.snd (κ a) ρ) :
(LinearMap.range (operator hx huy).toLinearMap).topologicalClosure =
essentialRange η (family κ ν ρ) := by
have h := active_eq_essentialRange hu.measurable hx hy hκ (by simpa only [hu.map_eq] using hm)
calc
_ = (LinearMap.range (operator hx ⟨hu.measurable.prodMk hy.measurable,rfl⟩).toLinearMap).topologicalClosure :=
active_observation_eq hx huy ⟨hu.measurable.prodMk hy.measurable,rfl⟩ rfl
_ = _ := by simpa only [hu.map_eq] using h
end JoiningOperator
namespace ArrayObjects.Object.Rolled
open MeasureTheory ProbabilityTheory ContinuousLinearMap
open scoped ENNReal
section
local instance : Fact ((2 : ℝ≥0∞) ≠ ∞) := ⟨by norm_num⟩
universe u
variable {I : Type u} [Fintype I] [DecidableEq I] {X : StandardSpace.{u}} {T : X ≃ᵐ X}
{base : InitialLaws I X T} (M : Object I base)
lemma commonActive_swapColumns (hM : M.IsSaturated) (rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e =
commonActive M rows.P rows.A rows.B cols.P cols.B cols.A n e := by
filter_upwards [rowActive_swap M hM rows.P rows.properP cols n] with e he
simp only [commonActive,he]
lemma commonActive_swapRows (hM : M.IsSaturated) (rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e =
commonActive M rows.P rows.B rows.A cols.P cols.A cols.B n e := by
filter_upwards [columnActive_swap M hM rows cols.P cols.properP n] with e he
simp only [commonActive,he]
lemma grouped_first_row_edge (hM : M.IsSaturated) (rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ᵐ s ∂cellLaw M rows.P cols.A n e,
(commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e).starProjection ∘L
fibreRowEdge M rows.P cols.A cols.P cols.B n e s =
fibreRowEdge M rows.P cols.A cols.P cols.B n e s ∘L
(commonActive M rows.P rows.A rows.B cols.B cols.P cols.A n e).starProjection := by
filter_upwards [grouped_active_intersections M hM rows.swapPA cols.swapPA n,
commonActive_swapColumns M hM rows cols.swapPB n] with e he hs
dsimp only [TriplePartition.swapPA,TriplePartition.swapPB] at he hs
have hp : (commonActive M rows.P rows.A rows.B cols.B cols.A cols.P n e).starProjection =
(commonActive M rows.P rows.A rows.B cols.B cols.P cols.A n e).starProjection := by congr 1
filter_upwards [he.1] with s h
rw [hp] at h
exact h
lemma grouped_second_row_edge (hM : M.IsSaturated) (rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ᵐ t ∂cellLaw M rows.P cols.B n e,
(commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e).starProjection ∘L
fibreRowEdge M rows.P cols.B cols.P cols.A n e t =
fibreRowEdge M rows.P cols.B cols.P cols.A n e t ∘L
(commonActive M rows.P rows.A rows.B cols.A cols.P cols.B n e).starProjection := by
filter_upwards [grouped_first_row_edge M hM rows cols.swapAB n,
commonActive_swapColumns M hM rows cols n] with e he hs
have hp : (commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e).starProjection =
(commonActive M rows.P rows.A rows.B cols.P cols.B cols.A n e).starProjection := by congr 1
filter_upwards [he] with t h
rw [hp]
exact h
theorem grouped_row_contraction_projection (hM : M.IsSaturated)
(rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ (hr : MeasurePreserving (cells M rows.P cols.P n) (M.ownKernel (n+2) e) (cellLaw M rows.P cols.P n e))
(hst : MeasurePreserving (fun y => (cells M rows.P cols.A n y,cells M rows.P cols.B n y))
(M.ownKernel (n+2) e) ((cellLaw M rows.P cols.A n e).prod (cellLaw M rows.P cols.B n e)))
(g : Lp ℂ 2 (cellLaw M rows.P cols.A n e)) (h : Lp ℂ 2 (cellLaw M rows.P cols.B n e)),
(commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e).starProjection
(JoiningOperator.contraction hr hst g h) =
JoiningOperator.contraction hr hst
((commonActive M rows.P rows.A rows.B cols.A cols.P cols.B n e).starProjection g)
((commonActive M rows.P rows.A rows.B cols.B cols.P cols.A n e).starProjection h) := by
filter_upwards [grouped_first_row_edge M hM rows cols n,grouped_second_row_edge M hM rows cols n,
cells_fibre_marginal M hM rows.P cols.A rows.properP n,
cells_fibre_marginal M hM rows.P cols.B rows.properP n,
rowPair_fixed_conditional M rows.P cols.A cols.P cols.B n,
rowPair_fixed_conditional M rows.P cols.B cols.P cols.A n,
rowPair_fixed_marginals M hM rows.P cols.A cols.P cols.B rows.properP
cols.disjointPA.symm cols.disjointAB (by simpa [Finset.union_comm] using cols.properPA) cols.properAB n,
rowPair_fixed_marginals M hM rows.P cols.B cols.P cols.A rows.properP
cols.disjointPB.symm cols.disjointAB.symm (by simpa [Finset.union_comm] using cols.properPB)
(by simpa [Finset.union_comm] using cols.properAB) n] with e hq hp hs ht hκ hξ hmκ hmξ
intro hr hst g h
rw [hs.map_eq] at hmκ
rw [ht.map_eq] at hmξ
simp only [fibreRowEdge_eq] at hq hp
let hts : MeasurePreserving (fun y => (cells M rows.P cols.B n y,cells M rows.P cols.A n y))
(M.ownKernel (n+2) e) ((cellLaw M rows.P cols.B n e).prod (cellLaw M rows.P cols.A n e)) :=
Measure.measurePreserving_swap.comp hst
apply JoiningOperator.contraction_projection_both hr hst hts _ _ _
· intro g h
exact JoiningOperator.contraction_projection hs hr hst hκ hmκ _ _ hq g h
· intro h g
exact JoiningOperator.contraction_projection ht hr hts hξ hmξ _ _ hp h g
lemma grouped_first_column_edge (hM : M.IsSaturated) (rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ᵐ s ∂cellLaw M rows.A cols.P n e,
(commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e).starProjection ∘L
fibreColumnEdge M rows.A rows.P rows.B cols.P n e s =
fibreColumnEdge M rows.A rows.P rows.B cols.P n e s ∘L
(commonActive M rows.B rows.P rows.A cols.P cols.A cols.B n e).starProjection := by
filter_upwards [grouped_active_intersections M hM rows.swapPA cols.swapPA n,
commonActive_swapRows M hM rows.swapPB cols n] with e he hs
dsimp only [TriplePartition.swapPA,TriplePartition.swapPB] at he hs
have hp : (commonActive M rows.B rows.A rows.P cols.P cols.A cols.B n e).starProjection =
(commonActive M rows.B rows.P rows.A cols.P cols.A cols.B n e).starProjection := by congr 1
filter_upwards [he.2.2.1] with s h
rw [hp] at h
exact h
lemma grouped_second_column_edge (hM : M.IsSaturated) (rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ᵐ t ∂cellLaw M rows.B cols.P n e,
(commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e).starProjection ∘L
fibreColumnEdge M rows.B rows.P rows.A cols.P n e t =
fibreColumnEdge M rows.B rows.P rows.A cols.P n e t ∘L
(commonActive M rows.A rows.P rows.B cols.P cols.A cols.B n e).starProjection := by
filter_upwards [grouped_first_column_edge M hM rows.swapAB cols n,
commonActive_swapRows M hM rows cols n] with e he hs
have hp : (commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e).starProjection =
(commonActive M rows.P rows.B rows.A cols.P cols.A cols.B n e).starProjection := by congr 1
filter_upwards [he] with t h
rw [hp]
exact h
theorem grouped_column_contraction_projection (hM : M.IsSaturated)
(rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ (hr : MeasurePreserving (cells M rows.P cols.P n) (M.ownKernel (n+2) e) (cellLaw M rows.P cols.P n e))
(hst : MeasurePreserving (fun y => (cells M rows.A cols.P n y,cells M rows.B cols.P n y))
(M.ownKernel (n+2) e) ((cellLaw M rows.A cols.P n e).prod (cellLaw M rows.B cols.P n e)))
(g : Lp ℂ 2 (cellLaw M rows.A cols.P n e)) (h : Lp ℂ 2 (cellLaw M rows.B cols.P n e)),
(commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e).starProjection
(JoiningOperator.contraction hr hst g h) =
JoiningOperator.contraction hr hst
((commonActive M rows.A rows.P rows.B cols.P cols.A cols.B n e).starProjection g)
((commonActive M rows.B rows.P rows.A cols.P cols.A cols.B n e).starProjection h) := by
let rr := rows.swapPA
let rt := rows.swapPB
filter_upwards [grouped_first_column_edge M hM rows cols n,grouped_second_column_edge M hM rows cols n,
cells_fibre_marginal M hM rows.A cols.P rows.properA n,
cells_fibre_marginal M hM rows.B cols.P rows.properB n,
columnPair_fixed_conditional M hM rows.A rows.P rows.B cols.P rr.cardP cols.properP n,
columnPair_fixed_conditional M hM rows.B rows.P rows.A cols.P rt.cardP cols.properP n,
columnPair_fixed_marginals M hM rows.A rows.P rows.B cols.P rr.cardP cols.properP
rows.properP rows.properB rows.disjointPA.symm rows.disjointAB
(by simpa [Finset.union_comm] using rows.properPA) rows.properAB n,
columnPair_fixed_marginals M hM rows.B rows.P rows.A cols.P rt.cardP cols.properP
rows.properP rows.properA rows.disjointPB.symm rows.disjointAB.symm
(by simpa [Finset.union_comm] using rows.properPB)
(by simpa [Finset.union_comm] using rows.properAB) n] with e hq hp hs ht hκ hξ hmκ hmξ
intro hr hst g h
rw [hs.map_eq] at hmκ
rw [ht.map_eq] at hmξ
simp only [fibreColumnEdge_eq] at hq hp
let hts : MeasurePreserving (fun y => (cells M rows.B cols.P n y,cells M rows.A cols.P n y))
(M.ownKernel (n+2) e) ((cellLaw M rows.B cols.P n e).prod (cellLaw M rows.A cols.P n e)) :=
Measure.measurePreserving_swap.comp hst
apply JoiningOperator.contraction_projection_both hr hst hts _ _ _
· intro g h
exact JoiningOperator.contraction_projection hs hr hst hκ hmκ _ _ hq g h
· intro h g
exact JoiningOperator.contraction_projection ht hr hts hξ hmξ _ _ hp h g
end
local instance : Fact ((2 : ℝ≥0∞) ≠ ∞) := ⟨by norm_num⟩
universe u
variable {I : Type u} [Fintype I] [DecidableEq I] {X : StandardSpace.{u}} {T : X ≃ᵐ X}
{base : InitialLaws I X T} (M : Object I base)
lemma rowActive_eq_range (hM : M.IsSaturated) (A : Finset I) (hA : A ≠ Finset.univ)
(cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ (hr : MeasurePreserving (cells M A cols.P n) (M.ownKernel (n+2) e) (cellLaw M A cols.P n e))
(hst : MeasurePreserving (fun y => (cells M A cols.A n y,cells M A cols.B n y))
(M.ownKernel (n+2) e) ((cellLaw M A cols.A n e).prod (cellLaw M A cols.B n e))),
rowActive M A cols.P cols.A cols.B n e =
(LinearMap.range (JoiningOperator.operator hr hst).toLinearMap).topologicalClosure := by
filter_upwards [cells_fibre_marginal M hM A cols.A hA n,
cells_fibre_marginal M hM A cols.B hA n,
rowPair_fixed_conditional M A cols.A cols.P cols.B n,
rowPair_fixed_marginals M hM A cols.A cols.P cols.B hA
cols.disjointPA.symm cols.disjointAB (by simpa [Finset.union_comm] using cols.properPA)
cols.properAB n] with e hs ht hκ hm
intro hr hst
rw [hs.map_eq] at hm
unfold rowActive
rw [fibreRowEdge_eq]
exact (JoiningOperator.active_eq_essentialRange_product hs hr ht hst hκ hm).symm
lemma columnActive_eq_range (hM : M.IsSaturated) (rows : TriplePartition I)
(R : Finset I) (hR : R ≠ Finset.univ) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ (hr : MeasurePreserving (cells M rows.P R n) (M.ownKernel (n+2) e) (cellLaw M rows.P R n e))
(hst : MeasurePreserving (fun y => (cells M rows.A R n y,cells M rows.B R n y))
(M.ownKernel (n+2) e) ((cellLaw M rows.A R n e).prod (cellLaw M rows.B R n e))),
columnActive M rows.P rows.A rows.B R n e =
(LinearMap.range (JoiningOperator.operator hr hst).toLinearMap).topologicalClosure := by
filter_upwards [cells_fibre_marginal M hM rows.A R rows.properA n,
cells_fibre_marginal M hM rows.B R rows.properB n,
columnPair_fixed_conditional M hM rows.A rows.P rows.B R rows.swapPA.cardP hR n,
columnPair_fixed_marginals M hM rows.A rows.P rows.B R rows.swapPA.cardP hR
rows.properP rows.properB rows.disjointPA.symm rows.disjointAB
(by simpa [Finset.union_comm] using rows.properPA) rows.properAB n] with e hs ht hκ hm
intro hr hst
rw [hs.map_eq] at hm
unfold columnActive
rw [fibreColumnEdge_eq]
exact (JoiningOperator.active_eq_essentialRange_product hs hr ht hst hκ hm).symm
theorem grouped_row_contractions_span (hM : M.IsSaturated)
(rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ (hr : MeasurePreserving (cells M rows.P cols.P n) (M.ownKernel (n+2) e) (cellLaw M rows.P cols.P n e))
(hst : MeasurePreserving (fun y => (cells M rows.P cols.A n y,cells M rows.P cols.B n y))
(M.ownKernel (n+2) e) ((cellLaw M rows.P cols.A n e).prod (cellLaw M rows.P cols.B n e))),
(Submodule.span ℂ (Set.range (fun p : Lp ℂ 2 (cellLaw M rows.P cols.A n e) ×
Lp ℂ 2 (cellLaw M rows.P cols.B n e) => JoiningOperator.contraction hr hst
((commonActive M rows.P rows.A rows.B cols.A cols.P cols.B n e).starProjection p.1)
((commonActive M rows.P rows.A rows.B cols.B cols.P cols.A n e).starProjection p.2)))).topologicalClosure =
commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e := by
filter_upwards [rowActive_eq_range M hM rows.P rows.properP cols n,
grouped_row_contraction_projection M hM rows cols n] with e he hp
intro hr hst
apply restricted_contractions_span (JoiningOperator.operator hr hst)
· rw [←he hr hst]
exact inf_le_left
· exact hp hr hst
theorem grouped_column_contractions_span (hM : M.IsSaturated)
(rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ (hr : MeasurePreserving (cells M rows.P cols.P n) (M.ownKernel (n+2) e) (cellLaw M rows.P cols.P n e))
(hst : MeasurePreserving (fun y => (cells M rows.A cols.P n y,cells M rows.B cols.P n y))
(M.ownKernel (n+2) e) ((cellLaw M rows.A cols.P n e).prod (cellLaw M rows.B cols.P n e))),
(Submodule.span ℂ (Set.range (fun p : Lp ℂ 2 (cellLaw M rows.A cols.P n e) ×
Lp ℂ 2 (cellLaw M rows.B cols.P n e) => JoiningOperator.contraction hr hst
((commonActive M rows.A rows.P rows.B cols.P cols.A cols.B n e).starProjection p.1)
((commonActive M rows.B rows.P rows.A cols.P cols.A cols.B n e).starProjection p.2)))).topologicalClosure =
commonActive M rows.P rows.A rows.B cols.P cols.A cols.B n e := by
filter_upwards [columnActive_eq_range M hM rows cols.P cols.properP n,
grouped_column_contraction_projection M hM rows cols n] with e he hp
intro hr hst
apply restricted_contractions_span (JoiningOperator.operator hr hst)
· rw [←he hr hst]
exact inf_le_right
· exact hp hr hst
end ArrayObjects.Object.Rolled
namespace JoiningOperator
open MeasureTheory ProbabilityTheory ContinuousLinearMap
open scoped InnerProductSpace ENNReal
section ContractionCoefficients
variable {Ω U X Y : Type*} [MeasurableSpace Ω] [MeasurableSpace U]
[MeasurableSpace X] [MeasurableSpace Y] [StandardBorelSpace X] [StandardBorelSpace Y]
[Nonempty X] [Nonempty Y] {μ : Measure Ω} [IsProbabilityMeasure μ]
{η : Measure U} {ν : Measure X} {ρ : Measure Y}
[IsProbabilityMeasure η] [IsProbabilityMeasure ν] [IsProbabilityMeasure ρ]
{u : Ω → U} {x : Ω → X} {y : Ω → Y}
{κ : Kernel U (X × Y)} [IsMarkovKernel κ]
omit [IsProbabilityMeasure η] [IsProbabilityMeasure ν] [IsProbabilityMeasure ρ] in
lemma contraction_coefficient [SFinite ρ] (hu : MeasurePreserving u μ η)
(hxy : MeasurePreserving (fun ω => (x ω,y ω)) μ (ν.prod ρ))
(hκ : HasCondDistrib (fun ω => (x ω,y ω)) u κ μ)
(hm : ∀ᵐ a ∂η, MeasurePreserving Prod.fst (κ a) ν ∧ MeasurePreserving Prod.snd (κ a) ρ)
(g : Lp ℂ 2 ν) (h : Lp ℂ 2 ρ) :
contraction hu hxy g h =ᵐ[η] (fun a => inner ℂ (star g) (family κ ν ρ a h)) := by
let F : X × Y → ℂ := fun p => g p.1 * h p.2
have hFm : StronglyMeasurable F :=
(g.1.stronglyMeasurable.comp_measurable measurable_fst).mul
(h.1.stronglyMeasurable.comp_measurable measurable_snd)
have hten : (fun ω => tensorLp g h (x ω,y ω)) =ᵐ[μ] (fun ω => F (x ω,y ω)) :=
hxy.quasiMeasurePreserving.ae (coe_tensorLp g h)
have hFi : Integrable (fun ω => F (x ω,y ω)) μ := by
apply (((Lp.memLp (tensorLp g h)).comp_measurePreserving hxy).integrable (by norm_num : (1 : ℝ≥0∞) ≤ 2)).congr
exact hten
have hcond := (operator_ae_eq_condExp hu hxy (tensorLp g h)).trans
((condExp_congr_ae hten).trans (condExp_of_kernel hu.measurable hκ F hFm hFi))
have hi : contraction hu hxy g h =ᵐ[η] (fun a => ∫ p, F p ∂κ a) := by
have ht := (ae_map_iff hu.aemeasurable
(measurableSet_eq_fun (Lp.stronglyMeasurable (contraction hu hxy g h)).measurable hFm.integral_kernel.measurable)).mpr hcond
change ∀ᵐ a ∂η, contraction hu hxy g h a = ∫ p, F p ∂κ a
simpa only [hu.map_eq] using ht
apply hi.trans
filter_upwards [hm, family_inner hm (star g) h] with a ha hai
rw [hai]
apply integral_congr_ae
filter_upwards [ha.1.quasiMeasurePreserving.ae (Lp.coeFn_star g)] with p hp
rw [hp]
simp [F, RCLike.inner_apply, mul_comm]
end ContractionCoefficients
variable {Ω Z X Y A B C : Type*}
[MeasurableSpace Ω] [MeasurableSpace Z] [MeasurableSpace X] [MeasurableSpace Y]
[MeasurableSpace A] [MeasurableSpace B] [MeasurableSpace C]
{μ : Measure Ω} {ν : Measure X} {ρ : Measure Y} {η : Measure Z}
{α : Measure A} {β : Measure B} {τ : Measure C}
{x : Ω → X} {y : Ω → Y} {z : Ω → Z} {a : X → A} {b : Y → B} {c : Z → C}
[SFinite ν] [SFinite ρ]
lemma tensor_pull [SFinite β] (ha : MeasurePreserving a ν α) (hb : MeasurePreserving b ρ β)
(g : Lp ℂ 2 α) (h : Lp ℂ 2 β) :
tensorLp (pull ha g) (pull hb h) = pull (ha.prod hb) (tensorLp g h) := by
apply Lp.ext
filter_upwards [coe_tensorLp (pull ha g) (pull hb h),
(ha.prod hb).quasiMeasurePreserving.ae (coe_tensorLp g h),
Lp.coeFn_compMeasurePreserving (tensorLp g h) (ha.prod hb),
Measure.quasiMeasurePreserving_fst.ae (Lp.coeFn_compMeasurePreserving g ha),
Measure.quasiMeasurePreserving_snd.ae (Lp.coeFn_compMeasurePreserving h hb)] with p hp ht hpull hga hhb
exact hp.trans ((congrArg₂ (· * ·) hga hhb).trans (ht.symm.trans hpull.symm))
lemma contraction_pull [SFinite β] (hz : MeasurePreserving z μ η)
(hxy : MeasurePreserving (fun ω => (x ω,y ω)) μ (ν.prod ρ))
(ha : MeasurePreserving a ν α) (hb : MeasurePreserving b ρ β)
(g : Lp ℂ 2 α) (h : Lp ℂ 2 β) :
contraction hz hxy (pull ha g) (pull hb h) =
operator hz ((ha.prod hb).comp hxy) (tensorLp g h) := by
unfold contraction operator
rw [tensor_pull ha hb, pull_comp hxy (ha.prod hb)]
rfl
lemma contraction_mem_screen
[IsProbabilityMeasure μ] [StandardBorelSpace A] [Nonempty A]
[StandardBorelSpace B] [Nonempty B]
(hz : MeasurePreserving z μ η)
(hxy : MeasurePreserving (fun ω => (x ω,y ω)) μ (ν.prod ρ))
(ha : MeasurePreserving a ν α) (hb : MeasurePreserving b ρ β)
(hc : MeasurePreserving c η τ)
{κ : Kernel C (A × B)} [IsMarkovKernel κ]
(hκ : HasCondDistrib (fun ω => (a (x ω),b (y ω))) z (κ.comap c hc.measurable) μ)
(g : Lp ℂ 2 ν) (h : Lp ℂ 2 ρ)
(hg : g ∈ lpMeas ℂ ℂ (MeasurableSpace.comap a inferInstance) 2 ν)
(hh : h ∈ lpMeas ℂ ℂ (MeasurableSpace.comap b inferInstance) 2 ρ) :
contraction hz hxy g h ∈ lpMeas ℂ ℂ (MeasurableSpace.comap c inferInstance) 2 η := by
have : SFinite β := hb.map_eq ▸ inferInstanceAs (SFinite (ρ.map b))
rw [←pull_range ha] at hg
rw [←pull_range hb] at hh
obtain ⟨g,rfl⟩ := hg
obtain ⟨h,rfl⟩ := hh
change contraction hz hxy (pull ha g) (pull hb h) ∈ _
rw [contraction_pull hz hxy ha hb g h, screened_operator hz ((ha.prod hb).comp hxy) hc hκ]
rw [←pull_range hc]
exact ⟨operator (hc.comp hz) ((ha.prod hb).comp hxy) (tensorLp g h),rfl⟩
end JoiningOperator
section
open MeasureTheory ProbabilityTheory
variable {G : Type*} [Group G] [MeasurableSpace G] [MeasurableMul₂ G]
lemma measure_eq_graph_of_ratio (μ : Measure (G × G)) (ρ : Measure G) (a : G)
(hρ : μ.map Prod.snd = ρ) (hr : ∀ᵐ p ∂μ, p.1 * p.2⁻¹ = a) :
μ = ρ.map (fun b => (a*b,b)) := by
have hg : Measurable (fun b : G => (a*b,b)) :=
(measurable_const.mul measurable_id).prodMk measurable_id
rw [←hρ, Measure.map_map hg measurable_snd]
calc
μ = μ.map id := (Measure.map_id).symm
_ = μ.map ((fun b => (a*b,b)) ∘ Prod.snd) := by
apply Measure.map_congr
filter_upwards [hr] with p hp
apply Prod.ext
· change p.1 = a*p.2
rw [←hp, mul_assoc, inv_mul_cancel, mul_one]
· rfl
def ratioKernel (ρ : Measure G) : Kernel G (G × G) :=
(Kernel.id.prod (Kernel.const G ρ)).map (fun p : G × G => (p.1*p.2,p.2))
lemma ratioKernel_apply (ρ : Measure G) [SFinite ρ] (a : G) :
ratioKernel ρ a = ρ.map (fun b => (a*b,b)) := by
have hm : Measurable (fun p : G × G => (p.1*p.2,p.2)) :=
(measurable_fst.mul measurable_snd).prodMk measurable_snd
rw [ratioKernel, Kernel.map_apply _ hm]
simp only [Kernel.prod_apply, Kernel.id_apply, Kernel.const_apply]
rw [Measure.dirac_prod]
rw [Measure.map_map hm (measurable_prodMk_left (x := a))]
rfl
instance ratioKernel_markov (ρ : Measure G) [IsProbabilityMeasure ρ] :
IsMarkovKernel (ratioKernel ρ) := by
unfold ratioKernel
exact Kernel.IsMarkovKernel.map _ (measurable_fst.mul measurable_snd |>.prodMk measurable_snd)
variable {Ω Z : Type*} [MeasurableSpace Ω] [MeasurableSpace Z]
{μ : Measure Ω} {z : Ω → Z} {v : Ω → G × G}
lemma hasCondDistrib_ratio {κ : Kernel Z (G × G)} [IsMarkovKernel κ]
(hκ : HasCondDistrib v z κ μ) (ρ : Measure G) [IsProbabilityMeasure ρ]
(c : Z → G) (hc : Measurable c)
(hm : ∀ᵐ t ∂μ.map z, (κ t).map Prod.snd = ρ)
(hr : ∀ᵐ t ∂μ.map z, ∀ᵐ p ∂κ t, p.1*p.2⁻¹ = c t) :
HasCondDistrib v z ((ratioKernel ρ).comap c hc) μ := by
refine ⟨hκ.aemeasurable, hκ.map_eq.trans (Measure.compProd_congr ?_)⟩
filter_upwards [hm,hr] with t ht htr
change κ t = ratioKernel ρ (c t)
rw [ratioKernel_apply]
exact measure_eq_graph_of_ratio (κ t) ρ (c t) ht htr
end
namespace JoiningOperator
open MeasureTheory ProbabilityTheory ContinuousLinearMap
open scoped InnerProductSpace ENNReal
section FactorFields
variable {Ω Z X Y A B C : Type*}
[MeasurableSpace Ω] [mZ : MeasurableSpace Z] [MeasurableSpace X] [MeasurableSpace Y]
[MeasurableSpace A] [MeasurableSpace B] [MeasurableSpace C]
{μ : Measure Ω} {ν : Measure X} {ρ : Measure Y} {η : Measure Z}
{α : Measure A} {β : Measure B} {τ : Measure C}
{x : Ω → X} {y : Ω → Y} {z : Ω → Z} {a : X → A} {b : Y → B} {c : Z → C}
lemma mem_field_of_eq_comp (hc : Measurable c) (f : Lp ℂ 2 η)
(F : C → ℂ) (hF : Measurable F) (he : f =ᵐ[η] (fun v => F (c v))) :
f ∈ lpMeas ℂ ℂ (MeasurableSpace.comap c inferInstance) 2 η := by
let : Fact (MeasurableSpace.comap c inferInstance ≤ mZ) := ⟨hc.comap_le⟩
apply mem_lpMeas_iff_aestronglyMeasurable.mpr
have hm : @StronglyMeasurable Z ℂ _ (MeasurableSpace.comap c inferInstance)
(fun v => F (c v)) :=
(hF.comp (Measurable.of_comap_le le_rfl)).stronglyMeasurable
exact hm.aestronglyMeasurable.congr he.symm
lemma common_space_le_screen
[IsProbabilityMeasure μ] [IsFiniteMeasure ν] [IsFiniteMeasure ρ]
[StandardBorelSpace A] [Nonempty A] [StandardBorelSpace B] [Nonempty B]
(hz : MeasurePreserving z μ η)
(hxy : MeasurePreserving (fun ω => (x ω,y ω)) μ (ν.prod ρ))
(ha : MeasurePreserving a ν α) (hb : MeasurePreserving b ρ β)
(hc : MeasurePreserving c η τ)
{κ : Kernel C (A × B)} [IsMarkovKernel κ]
(hκ : HasCondDistrib (fun ω => (a (x ω),b (y ω))) z (κ.comap c hc.measurable) μ)
(D : Submodule ℂ (Lp ℂ 2 η)) [D.HasOrthogonalProjection]
(P : Lp ℂ 2 ν →L[ℂ] Lp ℂ 2 ν) (Q : Lp ℂ 2 ρ →L[ℂ] Lp ℂ 2 ρ)
(hD : D ≤ (LinearMap.range (operator hz hxy).toLinearMap).topologicalClosure)
(hPQ : ∀ g h, D.starProjection (contraction hz hxy g h) =
contraction hz hxy (P g) (Q h))
(hP : ∀ g, P g ∈ lpMeas ℂ ℂ (MeasurableSpace.comap a inferInstance) 2 ν)
(hQ : ∀ h, Q h ∈ lpMeas ℂ ℂ (MeasurableSpace.comap b inferInstance) 2 ρ) :
D ≤ lpMeas ℂ ℂ (MeasurableSpace.comap c inferInstance) 2 η := by
rw [←restricted_contractions_span (operator hz hxy) D P Q hD hPQ]
apply Submodule.topologicalClosure_minimal
· apply Submodule.span_le.mpr
rintro _ ⟨⟨g,h⟩,rfl⟩
exact contraction_mem_screen hz hxy ha hb hc hκ (P g) (Q h) (hP g) (hQ h)
· exact isClosed_aestronglyMeasurable hc.measurable.comap_le
lemma common_space_le_ratio
{G : Type*} [gG : Group G] [mG : MeasurableSpace G] [hG : MeasurableMul₂ G]
[StandardBorelSpace G] [Nonempty G]
[IsProbabilityMeasure μ] [IsFiniteMeasure ν] [IsFiniteMeasure ρ]
{a : X → G} {b : Y → G} {c : Z → G}
(hz : MeasurePreserving z μ η)
(hxy : MeasurePreserving (fun ω => (x ω,y ω)) μ (ν.prod ρ))
(ha : Measurable a) (hb : Measurable b) (hc : Measurable c)
{κ : Kernel Z (G × G)} [IsMarkovKernel κ]
(hκ : HasCondDistrib (fun ω => (a (x ω),b (y ω))) z κ μ)
(σ : Measure G) [IsProbabilityMeasure σ]
(hm : ∀ᵐ t ∂η, (κ t).map Prod.snd = σ)
(hr : ∀ᵐ t ∂η, ∀ᵐ p ∂κ t, p.1*p.2⁻¹ = c t)
(D : Submodule ℂ (Lp ℂ 2 η)) [D.HasOrthogonalProjection]
(P : Lp ℂ 2 ν →L[ℂ] Lp ℂ 2 ν) (Q : Lp ℂ 2 ρ →L[ℂ] Lp ℂ 2 ρ)
(hD : D ≤ (LinearMap.range (operator hz hxy).toLinearMap).topologicalClosure)
(hPQ : ∀ g h, D.starProjection (contraction hz hxy g h) =
contraction hz hxy (P g) (Q h))
(hP : ∀ g, P g ∈ lpMeas ℂ ℂ (MeasurableSpace.comap a inferInstance) 2 ν)
(hQ : ∀ h, Q h ∈ lpMeas ℂ ℂ (MeasurableSpace.comap b inferInstance) 2 ρ) :
D ≤ lpMeas ℂ ℂ (MeasurableSpace.comap c inferInstance) 2 η := by
have hscreen := hasCondDistrib_ratio hκ σ c hc (by simpa only [hz.map_eq] using hm)
(by simpa only [hz.map_eq] using hr)
exact common_space_le_screen hz hxy ⟨ha,rfl⟩ ⟨hb,rfl⟩ ⟨hc,rfl⟩
hscreen D P Q hD hPQ hP hQ
end FactorFields
variable {Ω U X Y C : Type*} [MeasurableSpace Ω] [MeasurableSpace U]
[MeasurableSpace X] [MeasurableSpace Y] [MeasurableSpace C]
[StandardBorelSpace X] [StandardBorelSpace Y] [Nonempty X] [Nonempty Y]
{μ : Measure Ω} [IsProbabilityMeasure μ]
{η : Measure U} {ν : Measure X} {ρ : Measure Y}
{u : Ω → U} {x : Ω → X} {y : Ω → Y}
{κ : Kernel U (X × Y)} [IsMarkovKernel κ]
local instance : MeasurableSpace (Lp ℂ 2 ν) := borel _
local instance : BorelSpace (Lp ℂ 2 ν) := ⟨rfl⟩
lemma contraction_mem_operatorField [SFinite ρ]
(hu : MeasurePreserving u μ η)
(hxy : MeasurePreserving (fun ω => (x ω,y ω)) μ (ν.prod ρ))
(hκ : HasCondDistrib (fun ω => (x ω,y ω)) u κ μ)
(hm : ∀ᵐ a ∂η, MeasurePreserving Prod.fst (κ a) ν ∧ MeasurePreserving Prod.snd (κ a) ρ)
(V : Submodule ℂ (Lp ℂ 2 ρ)) (W : Submodule ℂ (Lp ℂ 2 ν))
[V.HasOrthogonalProjection] [W.HasOrthogonalProjection]
(hA : ∀ᵐ a ∂η, W.starProjection ∘L family κ ν ρ a = family κ ν ρ a ∘L V.starProjection)
(c : U → C) (hc : Measurable c)
(F : C → V → W) (hF : ∀ v, Measurable (fun q => (F q v : Lp ℂ 2 ν)))
(hf : ∀ᵐ a ∂η, ∀ v, compress (family κ ν ρ a) V W v = F (c a) v)
(g : Lp ℂ 2 ν) (h : V) :
contraction hu hxy g h ∈ lpMeas ℂ ℂ (MeasurableSpace.comap c inferInstance) 2 η := by
apply mem_field_of_eq_comp hc _ (fun q => inner ℂ (star g) (F q h : Lp ℂ 2 ν))
((continuous_const.inner (𝕜 := ℂ) continuous_id).measurable.comp (hF h))
apply (contraction_coefficient hu hxy hκ hm g h).trans
filter_upwards [hA,hf] with a ha hf
rw [←compress_apply _ V W ha h, hf]
lemma common_space_le_operatorField
[IsFiniteMeasure ν] [IsFiniteMeasure ρ]
(hu : MeasurePreserving u μ η)
(hxy : MeasurePreserving (fun ω => (x ω,y ω)) μ (ν.prod ρ))
(hκ : HasCondDistrib (fun ω => (x ω,y ω)) u κ μ)
(hm : ∀ᵐ a ∂η, MeasurePreserving Prod.fst (κ a) ν ∧ MeasurePreserving Prod.snd (κ a) ρ)
(V : Submodule ℂ (Lp ℂ 2 ρ)) (W : Submodule ℂ (Lp ℂ 2 ν))
[V.HasOrthogonalProjection] [W.HasOrthogonalProjection]
(hA : ∀ᵐ a ∂η, W.starProjection ∘L family κ ν ρ a = family κ ν ρ a ∘L V.starProjection)
(c : U → C) (hc : Measurable c)
(F : C → V → W) (hF : ∀ v, Measurable (fun q => (F q v : Lp ℂ 2 ν)))
(hf : ∀ᵐ a ∂η, ∀ v, compress (family κ ν ρ a) V W v = F (c a) v)
(D : Submodule ℂ (Lp ℂ 2 η)) [D.HasOrthogonalProjection]
(P : Lp ℂ 2 ν →L[ℂ] Lp ℂ 2 ν) (Q : Lp ℂ 2 ρ →L[ℂ] Lp ℂ 2 ρ)
(hD : D ≤ (LinearMap.range (operator hu hxy).toLinearMap).topologicalClosure)
(hPQ : ∀ g h, D.starProjection (contraction hu hxy g h) = contraction hu hxy (P g) (Q h))
(hQ : ∀ h, Q h ∈ V) :
D ≤ lpMeas ℂ ℂ (MeasurableSpace.comap c inferInstance) 2 η := by
rw [←restricted_contractions_span (operator hu hxy) D P Q hD hPQ]
apply Submodule.topologicalClosure_minimal
· apply Submodule.span_le.mpr
rintro _ ⟨⟨g,h⟩,rfl⟩
exact contraction_mem_operatorField hu hxy hκ hm V W hA c hc F hF hf (P g) ⟨Q h,hQ h⟩
· exact isClosed_aestronglyMeasurable hc.comap_le
end JoiningOperator
section
open MeasureTheory ContinuousLinearMap
variable {X E H : Type*} [MeasurableSpace X]
[NormedAddCommGroup E] [InnerProductSpace ℂ E] [CompleteSpace E] [SecondCountableTopology E]
[NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H] [SecondCountableTopology H]
{μ : Measure X} [IsProbabilityMeasure μ] {F : X → E →L[ℂ] H}
omit [SecondCountableTopology H] in
lemma MeasurablePolar.fixed_factor (R : MeasurablePolar μ F)
(hs : HasFixedInjectiveSquares μ F) :
∃ B : E →L[ℂ] E, ∀ᵐ x ∂μ, ∀ v, F x v = R.unitary x (B v) := by
obtain ⟨P,Q,_,_,hP,_⟩ := hs
obtain ⟨x₀,hx₀⟩ := hP.exists
refine ⟨operatorAbs (F x₀),?_⟩
filter_upwards [hP,R.formula] with x hx hf
intro v
have he : operatorAbs (F x) = operatorAbs (F x₀) := by
unfold operatorAbs
rw [hx,hx₀]
rw [←hf.2.2]
change R.unitary x (operatorAbs (F x) v) = _
rw [he]
end
section
open MeasureTheory ProbabilityTheory ContinuousLinearMap
open scoped ENNReal
namespace JoiningOperator
local instance : Fact ((2 : ℝ≥0∞) ≠ ∞) := ⟨by norm_num⟩
variable {Ω U X Y : Type*} [MeasurableSpace Ω] [MeasurableSpace U]
[MeasurableSpace X] [MeasurableSpace Y]
[StandardBorelSpace X] [StandardBorelSpace Y] [Nonempty X] [Nonempty Y]
{μ : Measure Ω} [IsProbabilityMeasure μ]
{η : Measure U} [IsProbabilityMeasure η]
{ν : Measure X} {ρ : Measure Y} [IsFiniteMeasure ν] [IsFiniteMeasure ρ]
{u : Ω → U} {x : Ω → X} {y : Ω → Y}
{κ : Kernel U (X × Y)} [IsMarkovKernel κ]
local instance : MeasurableSpace (Lp ℂ 2 ν) := borel _
local instance : BorelSpace (Lp ℂ 2 ν) := ⟨rfl⟩
lemma common_space_le_polarField
(hu : MeasurePreserving u μ η)
(hxy : MeasurePreserving (fun ω => (x ω,y ω)) μ (ν.prod ρ))
(hκ : HasCondDistrib (fun ω => (x ω,y ω)) u κ μ)
(hm : ∀ᵐ a ∂η, MeasurePreserving Prod.fst (κ a) ν ∧ MeasurePreserving Prod.snd (κ a) ρ)
(V : Submodule ℂ (Lp ℂ 2 ρ)) (W : Submodule ℂ (Lp ℂ 2 ν))
[V.HasOrthogonalProjection] [W.HasOrthogonalProjection] [CompleteSpace V] [CompleteSpace W]
(hA : ∀ᵐ a ∂η, W.starProjection ∘L family κ ν ρ a = family κ ν ρ a ∘L V.starProjection)
(R : MeasurablePolar η (fun a => compress (family κ ν ρ a) V W))
(hs : HasFixedInjectiveSquares η (fun a => compress (family κ ν ρ a) V W))
(D : Submodule ℂ (Lp ℂ 2 η)) [D.HasOrthogonalProjection]
(P : Lp ℂ 2 ν →L[ℂ] Lp ℂ 2 ν) (Q : Lp ℂ 2 ρ →L[ℂ] Lp ℂ 2 ρ)
(hD : D ≤ (LinearMap.range (operator hu hxy).toLinearMap).topologicalClosure)
(hPQ : ∀ g h, D.starProjection (contraction hu hxy g h) = contraction hu hxy (P g) (Q h))
(hQ : ∀ h, Q h ∈ V) :
D ≤ lpMeas ℂ ℂ (MeasurableSpace.comap R.unitary inferInstance) 2 η := by
obtain ⟨B,hB⟩ := R.fixed_factor hs
apply common_space_le_operatorField hu hxy hκ hm V W hA R.unitary R.measurable
(fun q v => q (B v)) _ hB D P Q hD hPQ hQ
intro v
exact (continuous_subtype_val.comp (StrongUnitary.continuous_apply (B v))).measurable
end JoiningOperator
namespace ArrayObjects.Object.Rolled
local instance : Fact ((2 : ℝ≥0∞) ≠ ∞) := ⟨by norm_num⟩
universe u
variable {I : Type u} [Fintype I] [DecidableEq I] {X : StandardSpace.{u}} {T : X ≃ᵐ X}
{base : InitialLaws I X T} (M : Object I base)
theorem grouped_polar_a_field (hM : M.IsSaturated)
(rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ R : GroupedPolarData M rows cols n e,
commonActive M rows.A rows.P rows.B cols.P cols.A cols.B n e ≤
lpMeas ℂ ℂ (MeasurableSpace.comap R.a.unitary inferInstance) 2
(cellLaw M rows.A cols.P n e) := by
filter_upwards [grouped_rectangle_spaces M hM rows cols n,
grouped_restricted_fixed_squares M hM rows cols n,
grouped_active_intersections M hM rows cols n,
grouped_row_contraction_projection M hM rows.swapPA cols n,
rowActive_eq_range M hM rows.A rows.properA cols n,
cells_fibre_marginal M hM rows.A cols.P rows.properA n,
cells_fibre_marginal M hM rows.A cols.A rows.properA n,
cells_fibre_marginal M hM rows.A cols.B rows.properA n,
cells_indep_columns_fibre M rows.A rows.A cols.A cols.B cols.disjointAB cols.properAB n,
rowPair_fixed_conditional M rows.A cols.P cols.A cols.B n,
rowPair_fixed_marginals M hM rows.A cols.P cols.A cols.B rows.properA
cols.disjointPA cols.disjointPB cols.properPA cols.properPB n]
with e hspaces hs hA hproj hrange hx hc hd hcd hκ hm
intro R
rw [hx.map_eq] at hm
let hpair : MeasurePreserving (fun y => (cells M rows.A cols.A n y,cells M rows.A cols.B n y))
(M.ownKernel (n+2) e) ((cellLaw M rows.A cols.A n e).prod (cellLaw M rows.A cols.B n e)) :=
⟨hc.measurable.prodMk hd.measurable, by
rw [←hc.map_eq,←hd.map_eq]
exact hcd.map_prod_eq_prod_map_map hc.measurable.aemeasurable hd.measurable.aemeasurable⟩
let V := rectangleSpace₂ (cellLaw M rows.A cols.P n e) (cellLaw M rows.P cols.B n e)
(fibreRowEdge M rows.A cols.P cols.A cols.B n e) (fibreColumnEdge M rows.P rows.A rows.B cols.B n e)
let W := rectangleSpace₁ (cellLaw M rows.A cols.P n e) (cellLaw M rows.P cols.A n e)
(fibreRowEdge M rows.A cols.P cols.A cols.B n e) (fibreColumnEdge M rows.P rows.A rows.B cols.A n e)
have hv : V = commonActive M rows.A rows.P rows.B cols.B cols.P cols.A n e := hspaces.2.1
have hw : W = commonActive M rows.A rows.P rows.B cols.A cols.P cols.B n e := hspaces.1
have ha : ∀ᵐ a ∂cellLaw M rows.A cols.P n e,
W.starProjection ∘L JoiningOperator.family ((rowPairKernel M rows.A cols.P cols.A cols.B n).sectR e)
(cellLaw M rows.A cols.A n e) (cellLaw M rows.A cols.B n e) a =
JoiningOperator.family ((rowPairKernel M rows.A cols.P cols.A cols.B n).sectR e)
(cellLaw M rows.A cols.A n e) (cellLaw M rows.A cols.B n e) a ∘L V.starProjection := by
simpa only [hv,hw,fibreRowEdge_eq] using hA.1
apply JoiningOperator.common_space_le_polarField hx hpair hκ hm V W ha R.a hs.1 _
(commonActive M rows.A rows.P rows.B cols.A cols.P cols.B n e).starProjection
(commonActive M rows.A rows.P rows.B cols.B cols.P cols.A n e).starProjection
· rw [←hrange hx hpair]
exact inf_le_left
· exact hproj hx hpair
· intro h
rw [hv]
exact Submodule.starProjection_apply_mem _ h
theorem grouped_polar_b_field (hM : M.IsSaturated)
(rows cols : TriplePartition I) (n : ℕ) :
∀ᵐ e ∂(M.law (n+2)).map (amap M.par (n+2)),
∀ R : GroupedPolarData M rows cols n e,
commonActive M rows.B rows.P rows.A cols.P cols.A cols.B n e ≤
lpMeas ℂ ℂ (MeasurableSpace.comap R.b.unitary inferInstance) 2
(cellLaw M rows.B cols.P n e) := by
filter_upwards [grouped_rectangle_spaces M hM rows cols n,
grouped_restricted_fixed_squares M hM rows cols n,
grouped_active_intersections M hM rows cols n,
grouped_row_contraction_projection M hM rows.swapAB.swapPA cols n,
rowActive_eq_range M hM rows.B rows.properB cols n,
cells_fibre_marginal M hM rows.B cols.P rows.properB n,
cells_fibre_marginal M hM rows.B cols.A rows.properB n,
cells_fibre_marginal M hM rows.B cols.B rows.properB n,
cells_indep_columns_fibre M rows.B rows.B cols.A cols.B cols.disjointAB cols.properAB n,
rowPair_fixed_conditional M rows.B cols.P cols.A cols.B n,
rowPair_fixed_marginals M hM rows.B cols.P cols.A cols.B rows.properB
cols.disjointPA cols.disjointPB cols.properPA cols.properPB n]
with e hspaces hs hA hproj hrange hx hc hd hcd hκ hm
intro R
rw [hx.map_eq] at hm
let hpair : MeasurePreserving (fun y => (cells M rows.B cols.A n y,cells M rows.B cols.B n y))
(M.ownKernel (n+2) e) ((cellLaw M rows.B cols.A n e).prod (cellLaw M rows.B cols.B n e)) :=
⟨hc.measurable.prodMk hd.measurable, by
rw [←hc.map_eq,←hd.map_eq]
exact hcd.map_prod_eq_prod_map_map hc.measurable.aemeasurable hd.measurable.aemeasurable⟩
let V := rectangleSpace₄ (cellLaw M rows.B cols.P n e) (cellLaw M rows.P cols.B n e)
(fibreRowEdge M rows.B cols.P cols.A cols.B n e) (fibreColumnEdge M rows.P rows.A rows.B cols.B n e)
let W := rectangleSpace₃ (cellLaw M rows.B cols.P n e) (cellLaw M rows.P cols.A n e)
(fibreRowEdge M rows.B cols.P cols.A cols.B n e) (fibreColumnEdge M rows.P rows.A rows.B cols.A n e)
have hv : V = commonActive M rows.B rows.P rows.A cols.B cols.P cols.A n e := hspaces.2.2.2
have hw : W = commonActive M rows.B rows.P rows.A cols.A cols.P cols.B n e := hspaces.2.2.1
have ha : ∀ᵐ a ∂cellLaw M rows.B cols.P n e,
W.starProjection ∘L JoiningOperator.family ((rowPairKernel M rows.B cols.P cols.A cols.B n).sectR e)
(cellLaw M rows.B cols.A n e) (cellLaw M rows.B cols.B n e) a =
JoiningOperator.family ((rowPairKernel M rows.B cols.P cols.A cols.B n).sectR e)
(cellLaw M rows.B cols.A n e) (cellLaw M rows.B cols.B n e) a ∘L V.starProjection := by
simpa only [hv,hw,fibreRowEdge_eq] using hA.2.1
apply JoiningOperator.common_space_le_polarField hx hpair hκ hm V W ha R.b hs.2.1 _
(commonActive M rows.B rows.P rows.A cols.A cols.P cols.B n e).starProjection
(commonActive M rows.B rows.P rows.A cols.B cols.P cols.A n e).starProjection
· rw [←hrange hx hpair]
exact inf_le_left
· exact hproj hx hpair
· intro h
rw [hv]
exact Submodule.starProjection_apply_mem _ h
end ArrayObjects.Object.Rolled
end
section
open MeasureTheory
open scoped ENNReal
variable {Ω A B : Type*} [MeasurableSpace Ω] [MeasurableSpace A] [MeasurableSpace B]
{μ : Measure Ω} {a a' : Ω → A} {b : Ω → B}
lemma lpMeas_comap_congr (he : a =ᵐ[μ] a') :
lpMeas ℂ ℂ (MeasurableSpace.comap a inferInstance) 2 μ =
lpMeas ℂ ℂ (MeasurableSpace.comap a' inferInstance) 2 μ := by
suffices h : ∀ (a a' : Ω → A), a =ᵐ[μ] a' →
lpMeas ℂ ℂ (MeasurableSpace.comap a inferInstance) 2 μ ≤
lpMeas ℂ ℂ (MeasurableSpace.comap a' inferInstance) 2 μ from
le_antisymm (h a a' he) (h a' a he.symm)
intro a a' hae f hf
have hm := mem_lpMeas_iff_aestronglyMeasurable.mp hf
obtain ⟨g,hg,hgcomp⟩ := hm.stronglyMeasurable_mk.exists_eq_measurable_comp
apply mem_lpMeas_iff_aestronglyMeasurable.mpr
have hstrong : StronglyMeasurable[MeasurableSpace.comap a' inferInstance] (g ∘ a') :=
hg.comp_measurable (Measurable.of_comap_le le_rfl)
apply hstrong.aestronglyMeasurable.congr
filter_upwards [hm.ae_eq_mk,hae] with ω hfω haω
exact (congrArg g haω).symm.trans ((congrFun hgcomp ω).symm.trans hfω.symm)
lemma lpMeas_comap_mono (hab : MeasurableSpace.comap a inferInstance ≤
MeasurableSpace.comap b inferInstance) :
lpMeas ℂ ℂ (MeasurableSpace.comap a inferInstance) 2 μ ≤
lpMeas ℂ ℂ (MeasurableSpace.comap b inferInstance) 2 μ := by
intro f hf
apply mem_lpMeas_iff_aestronglyMeasurable.mpr
exact (mem_lpMeas_iff_aestronglyMeasurable.mp hf).mono hab
end
section
open MeasureTheory
lemma comap_eq_of_measurable_leftInverse {X Y Z : Type*} [MeasurableSpace X]
[MeasurableSpace Y] [MeasurableSpace Z] (a : X → Y)
(f : Y → Z) (g : Z → Y) (hf : Measurable f) (hg : Measurable g)
(hgf : Function.LeftInverse g f) :
MeasurableSpace.comap (f ∘ a) inferInstance = MeasurableSpace.comap a inferInstance := by
apply le_antisymm
· rw [←MeasurableSpace.comap_comp]
exact MeasurableSpace.comap_mono hf.comap_le
· have he : a = g ∘ (f ∘ a) := funext fun x => (hgf (a x)).symm
conv_lhs => rw [he,←MeasurableSpace.comap_comp]
exact MeasurableSpace.comap_mono hg.comap_le
namespace StrongUnitary
variable {X H₁ H₂ H₃ H₄ : Type*} [MeasurableSpace X]
[NormedAddCommGroup H₁] [NormedSpace ℂ H₁] [SecondCountableTopology H₁]
[NormedAddCommGroup H₂] [NormedSpace ℂ H₂] [SecondCountableTopology H₂]
[NormedAddCommGroup H₃] [NormedSpace ℂ H₃] [SecondCountableTopology H₃]
[NormedAddCommGroup H₄] [NormedSpace ℂ H₄] [SecondCountableTopology H₄]
omit [SecondCountableTopology H₁] in
lemma comap_normalizeA (a₀ : H₂ ≃ₗᵢ[ℂ] H₁) (d₀ : H₄ ≃ₗᵢ[ℂ] H₂)
(a : X → H₂ ≃ₗᵢ[ℂ] H₁) :
MeasurableSpace.comap (normalizeA a₀ d₀ ∘ a) inferInstance =
MeasurableSpace.comap a inferInstance := by
let g (u : H₄ ≃ₗᵢ[ℂ] H₄) := d₀.symm.trans (u.trans (d₀.trans a₀))
have hg : Continuous g := by
apply continuous_iff.mpr
intro v
exact (d₀.trans a₀).continuous.comp (continuous_apply (d₀.symm v))
apply comap_eq_of_measurable_leftInverse a _ g (continuous_normalizeA a₀ d₀).measurable hg.measurable
intro u
ext v
simp [g,normalizeA]
omit [SecondCountableTopology H₃] in
lemma comap_normalizeB (b₀ : H₄ ≃ₗᵢ[ℂ] H₃) (b : X → H₄ ≃ₗᵢ[ℂ] H₃) :
MeasurableSpace.comap (normalizeB b₀ ∘ b) inferInstance =
MeasurableSpace.comap b inferInstance := by
let g (u : H₄ ≃ₗᵢ[ℂ] H₄) := u.trans b₀
have hg : Continuous g := by
apply continuous_iff.mpr
intro v
exact b₀.continuous.comp (continuous_apply v)
apply comap_eq_of_measurable_leftInverse b _ g (continuous_normalizeB b₀).measurable hg.measurable
intro u
ext v
simp [g,normalizeB]
end StrongUnitary
end
namespace StrongUnitary
open MeasureTheory
section MeasurableEigenvalues
variable {H I X : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H]
[CompleteSpace H] [SecondCountableTopology H] [MeasurableSpace X]
lemma measurable_of_eigenvalues (b : HilbertBasis I ℂ H) (U : X → H ≃ₗᵢ[ℂ] H)
(χ : I → X → ℂ) (hχ : ∀ i, Measurable (χ i))
(he : ∀ i x, U x (b i) = χ i x • b i) : Measurable U := by
borelize H
let : Countable I := hilbertBasis_countable b
apply measurable_iff.mpr
intro v
have hes (x : X) : (∑' i, (b.repr v i * χ i x) • b i) = U x v := by
have hs := (U x : H →L[ℂ] H).hasSum (b.hasSum_repr v)
change HasSum (fun i => U x (b.repr v i • b i)) (U x v) at hs
simpa only [map_smul, he, smul_smul] using hs.tsum_eq
have hm : Measurable (fun x => ∑' i, (b.repr v i * χ i x) • b i) :=
Measurable.tsum (fun i => (measurable_const.mul (hχ i)).smul measurable_const)
simpa only [hes] using hm.stronglyMeasurable
end MeasurableEigenvalues
section
variable {H I X : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H]
[CompleteSpace H] [SecondCountableTopology H]
local instance : MeasurableSpace Circle := inferInstanceAs (MeasurableSpace (Submonoid.unitSphere ℂ))
local instance : BorelSpace Circle := inferInstanceAs (BorelSpace (Submonoid.unitSphere ℂ))
lemma measurable_iff_eigenCoords [MeasurableSpace X]
(b : HilbertBasis I ℂ H) (U : X → H ≃ₗᵢ[ℂ] H) (γ : X → I → Circle)
(he : ∀ i x, U x (b i) = (γ x i : ℂ) • b i) :
Measurable U ↔ Measurable γ := by
borelize H
constructor
· intro hU
apply Measurable.of_eval
intro i
apply Measurable.subtype_mk
have hm : Measurable (fun x => inner ℂ (b i) (U x (b i))) :=
(measurable_const (a := b i)).inner (𝕜 := ℂ) ((continuous_apply (b i)).measurable.comp hU)
have heq (x : X) : (γ x i : ℂ) = inner ℂ (b i) (U x (b i)) := by
rw [he, inner_smul_right]
simp [inner_self_eq_norm_sq_to_K, b.orthonormal.1 i]
convert hm using 1
ext x
exact heq x
· intro hγ
apply measurable_of_eigenvalues b U (fun i x => (γ x i : ℂ)) _ he
intro i
exact measurable_subtype_coe.comp ((measurable_pi_apply i).comp hγ)
lemma comap_eigenCoords (b : HilbertBasis I ℂ H)
(U : X → H ≃ₗᵢ[ℂ] H) (γ : X → I → Circle)
(he : ∀ i x, U x (b i) = (γ x i : ℂ) • b i) :
MeasurableSpace.comap U inferInstance = MeasurableSpace.comap γ inferInstance := by
apply le_antisymm
· let : MeasurableSpace X := MeasurableSpace.comap γ inferInstance
have hm : Measurable γ := Measurable.of_comap_le le_rfl
exact ((measurable_iff_eigenCoords b U γ he).mpr hm).comap_le
· let : MeasurableSpace X := MeasurableSpace.comap U inferInstance
have hm : Measurable U := Measurable.of_comap_le le_rfl
exact ((measurable_iff_eigenCoords b U γ he).mp hm).comap_le
end
variable {H J X : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H]
[CompleteSpace H] [SecondCountableTopology H]
local instance : MeasurableSpace Circle := inferInstanceAs (MeasurableSpace (Submonoid.unitSphere ℂ))
local instance : BorelSpace Circle := inferInstanceAs (BorelSpace (Submonoid.unitSphere ℂ))
def subgroupVersion (S : Subgroup (H ≃ₗᵢ[ℂ] H)) (g : H ≃ₗᵢ[ℂ] H) : S := by
classical
exact if h : g ∈ S then ⟨g,h⟩ else 1
omit [CompleteSpace H] in
lemma measurable_subgroupVersion (S : Subgroup (H ≃ₗᵢ[ℂ] H))
(hS : IsClosed (S : Set (H ≃ₗᵢ[ℂ] H))) : Measurable (subgroupVersion S) := by
classical
exact Measurable.dite measurable_id measurable_const hS.measurableSet
omit [CompleteSpace H] [SecondCountableTopology H] in
lemma subgroupVersion_coe (S : Subgroup (H ≃ₗᵢ[ℂ] H)) {g : H ≃ₗᵢ[ℂ] H} (hg : g ∈ S) :
(subgroupVersion S g : H ≃ₗᵢ[ℂ] H) = g := by simp [subgroupVersion,hg]
def spectralCoords (S : Subgroup (H ≃ₗᵢ[ℂ] H)) (γ : J → S →* Circle)
(g : H ≃ₗᵢ[ℂ] H) : J → Circle := fun j => γ j (subgroupVersion S g)
omit [CompleteSpace H] in
lemma measurable_spectralCoords (S : Subgroup (H ≃ₗᵢ[ℂ] H))
(hS : IsClosed (S : Set (H ≃ₗᵢ[ℂ] H))) (γ : J → S →* Circle)
(hγ : ∀ j, Continuous (γ j)) : Measurable (spectralCoords S γ) :=
Measurable.of_eval fun j => (hγ j).measurable.comp (measurable_subgroupVersion S hS)
omit [CompleteSpace H] [SecondCountableTopology H] in
lemma spectralCoords_mul_inv (S : Subgroup (H ≃ₗᵢ[ℂ] H)) (γ : J → S →* Circle)
{g h : H ≃ₗᵢ[ℂ] H} (hg : g ∈ S) (hh : h ∈ S) :
spectralCoords S γ (g*h⁻¹) = spectralCoords S γ g * (spectralCoords S γ h)⁻¹ := by
have hs : subgroupVersion S (g*h⁻¹) = subgroupVersion S g * (subgroupVersion S h)⁻¹ := by
apply Subtype.ext
simp only [Subgroup.coe_mul,Subgroup.coe_inv,subgroupVersion_coe S hg,
subgroupVersion_coe S hh,subgroupVersion_coe S (S.mul_mem hg (S.inv_mem hh))]
funext j
simp only [spectralCoords,hs,map_mul,map_inv,Pi.mul_apply,Pi.inv_apply]
lemma lpMeas_spectralCoords [MeasurableSpace X] (μ : Measure X)
(S : Subgroup (H ≃ₗᵢ[ℂ] H)) (b : HilbertBasis J ℂ H) (γ : J → S →* Circle)
(heig : ∀ j (g : S), (g : H ≃ₗᵢ[ℂ] H) (b j) = (γ j g : ℂ) • b j)
(U : X → H ≃ₗᵢ[ℂ] H) (hU : ∀ᵐ x ∂μ, U x ∈ S) :
lpMeas ℂ ℂ (MeasurableSpace.comap U inferInstance) 2 μ =
lpMeas ℂ ℂ (MeasurableSpace.comap (spectralCoords S γ ∘ U) inferInstance) 2 μ := by
let V (x : X) : H ≃ₗᵢ[ℂ] H := subgroupVersion S (U x)
have huv : U =ᵐ[μ] V := hU.mono fun x hx => (subgroupVersion_coe S hx).symm
rw [lpMeas_comap_congr huv]
rw [comap_eigenCoords b V (spectralCoords S γ ∘ U) (fun j x => heig j (subgroupVersion S (U x)))]
rfl
end StrongUnitary
section
open MeasureTheory ProbabilityTheory
lemma exists_const_of_ae_prod_eq {X Y V : Type*} [MeasurableSpace X] [MeasurableSpace Y]
{μ : Measure X} {ν : Measure Y} [IsProbabilityMeasure μ] [IsProbabilityMeasure ν]
{f : X → V} {g : Y → V}
(h : ∀ᵐ p ∂μ.prod ν, f p.1 = g p.2) :
∃ v, f =ᵐ[μ] (fun _ => v) ∧ g =ᵐ[ν] (fun _ => v) := by
have hh : ∀ᵐ x ∂μ, ∀ᵐ y ∂ν, f x = g y := Measure.ae_ae_of_ae_prod h
obtain ⟨x₀,hx₀⟩ := hh.exists
refine ⟨f x₀, ?_, hx₀.mono (fun _ hy => hy.symm)⟩
filter_upwards [hh] with x hx
obtain ⟨y,hy,h0y⟩ := (hx.and hx₀).exists
exact hy.trans h0y.symm
lemma measurable_conull_subset {Z : Type*} [MeasurableSpace Z] {σ : Measure Z}
{p : Z → Prop} (h : ∀ᵐ z ∂σ, p z) :
∃ s : Set Z, MeasurableSet s ∧ (∀ᵐ z ∂σ, z ∈ s) ∧ ∀ z ∈ s, p z := by
obtain ⟨t,ht,htm,ht0⟩ := exists_measurable_superset_of_null (ae_iff.mp h)
refine ⟨tᶜ, htm.compl, ?_, ?_⟩
· apply mem_ae_iff.mpr
change σ (tᶜ)ᶜ = 0
simpa only [compl_compl] using ht0
· intro z hz
by_contra hp
exact hz (ht hp)
lemma exists_measurable_common_unitary {Z X Y H : Type*}
[MeasurableSpace Z] [MeasurableSpace X] [MeasurableSpace Y]
[NormedAddCommGroup H] [NormedSpace ℂ H] [SecondCountableTopology H] [CompleteSpace H]
{σ : Measure Z} (κ : Kernel Z X) (ξ : Kernel Z Y)
[IsMarkovKernel κ] [IsMarkovKernel ξ]
(f : X → H ≃ₗᵢ[ℂ] H) (g : Y → H ≃ₗᵢ[ℂ] H)
(hf : Measurable f)
(heq : ∀ᵐ z ∂σ, ∀ᵐ p ∂(κ z).prod (ξ z), f p.1 = g p.2) :
∃ U : Z → H ≃ₗᵢ[ℂ] H, Measurable U ∧
∀ᵐ z ∂σ, f =ᵐ[κ z] (fun _ => U z) ∧ g =ᵐ[ξ z] (fun _ => U z) := by
classical
have he : ∀ᵐ z ∂σ, ∃ U, f =ᵐ[κ z] (fun _ => U) ∧ g =ᵐ[ξ z] (fun _ => U) :=
heq.mono fun _ hz => exists_const_of_ae_prod_eq hz
obtain ⟨s,hsm,hs,hsprop⟩ := measurable_conull_subset he
choose U₀ hU₀ using fun z : s => hsprop z z.property
let U : Z → H ≃ₗᵢ[ℂ] H := fun z => if hz : z ∈ s then U₀ ⟨z,hz⟩ else 1
refine ⟨U, ?_, ?_⟩
· apply StrongUnitary.measurable_iff.mpr
intro v
have hev : (fun z => U z v) = s.piecewise (fun z => ∫ x, f x v ∂κ z) (fun _ => v) := by
funext z
by_cases hz : z ∈ s
· simp only [U, dite_eq_left hz, Set.piecewise_eq_of_mem s _ _ hz]
calc
U₀ ⟨z,hz⟩ v = ∫ _x, U₀ ⟨z,hz⟩ v ∂κ z := by simp
_ = ∫ x, f x v ∂κ z := integral_congr_ae ((hU₀ ⟨z,hz⟩).1.fun_comp (fun A => A v)).symm
· simp [U, hz]
rw [hev]
exact ((StrongUnitary.measurable_iff.mp hf v).integral_kernel).piecewise hsm stronglyMeasurable_const
· filter_upwards [hs] with z hz
simpa only [U,dite_eq_left hz] using hU₀ ⟨z,hz⟩
namespace StrongUnitary
lemma rectangle_ratio_eq {G : Type*} [Group G] {a b c d : G}
(hbd : Commute b d) (h : a * d = c * b) : a * b⁻¹ = c * d⁻¹ := by
apply mul_inv_eq_iff_eq_mul.mpr
calc
a = c * b * d⁻¹ := by rw [←h, mul_assoc, mul_inv_cancel, mul_one]
_ = (c * d⁻¹) * b := by rw [mul_assoc, hbd.inv_right.eq, ←mul_assoc]
variable {Z H : Type*} [MeasurableSpace Z]
[NormedAddCommGroup H] [NormedSpace ℂ H] [CompleteSpace H] [SecondCountableTopology H]
lemma measurable_corner_ratio (σ : Measure Z)
(κ ξ : Kernel Z ((H ≃ₗᵢ[ℂ] H) × (H ≃ₗᵢ[ℂ] H)))
[IsMarkovKernel κ] [IsMarkovKernel ξ]
(ρ τ : ProbabilityMeasure (H ≃ₗᵢ[ℂ] H)) (G : Subgroup (H ≃ₗᵢ[ℂ] H))
(hρ : (ρ : Measure _).support = (G : Set (H ≃ₗᵢ[ℂ] H))) (hτ : (τ : Measure _).support = (G : Set (H ≃ₗᵢ[ℂ] H)))
(hcomm : ∀ u ∈ G, ∀ v ∈ G, u * v = v * u)
(hm : ∀ᵐ z ∂σ, (κ z).map Prod.fst = ρ ∧ (κ z).map Prod.snd = ρ ∧
(ξ z).map Prod.fst = τ ∧ (ξ z).map Prod.snd = τ)
(hr : ∀ᵐ z ∂σ, ∀ᵐ p ∂(κ z).prod (ξ z), p.1.1*p.2.2 = p.2.1*p.1.2) :
∃ U : Z → H ≃ₗᵢ[ℂ] H, Measurable U ∧ ∀ᵐ z ∂σ, U z ∈ G ∧
(∀ᵐ p ∂κ z, p.1 * p.2⁻¹ = U z) ∧
(∀ᵐ p ∂ξ z, p.1 * p.2⁻¹ = U z) := by
have hρm : ∀ᵐ u ∂(ρ : Measure _), u ∈ G := by
change (G : Set (H ≃ₗᵢ[ℂ] H)) ∈ ae (ρ : Measure _)
rw [←hρ]
exact Measure.support_mem_ae
have hτm : ∀ᵐ u ∂(τ : Measure _), u ∈ G := by
change (G : Set (H ≃ₗᵢ[ℂ] H)) ∈ ae (τ : Measure _)
rw [←hτ]
exact Measure.support_mem_ae
have hpairs : ∀ᵐ z ∂σ, (∀ᵐ p ∂κ z, p.1 ∈ G ∧ p.2 ∈ G) ∧
(∀ᵐ p ∂ξ z, p.1 ∈ G ∧ p.2 ∈ G) := by
filter_upwards [hm] with z hz
constructor
· have ha := ae_of_ae_map measurable_fst.aemeasurable (hz.1 ▸ hρm)
have hb := ae_of_ae_map measurable_snd.aemeasurable (hz.2.1 ▸ hρm)
exact ha.and hb
· have hc := ae_of_ae_map measurable_fst.aemeasurable (hz.2.2.1 ▸ hτm)
have hd := ae_of_ae_map measurable_snd.aemeasurable (hz.2.2.2 ▸ hτm)
exact hc.and hd
have he : ∀ᵐ z ∂σ, ∀ᵐ p ∂(κ z).prod (ξ z), p.1.1 * p.1.2⁻¹ = p.2.1 * p.2.2⁻¹ := by
filter_upwards [hpairs,hr] with z hz hzr
filter_upwards [Measure.quasiMeasurePreserving_fst.ae hz.1,
Measure.quasiMeasurePreserving_snd.ae hz.2,hzr] with p hp hq hrect
exact rectangle_ratio_eq (hcomm _ hp.2 _ hq.2) hrect
obtain ⟨U,hU,heU⟩ := exists_measurable_common_unitary κ ξ
(fun p => p.1 * p.2⁻¹) (fun p => p.1 * p.2⁻¹)
(measurable_fst.mul measurable_snd.inv) he
refine ⟨U,hU,?_⟩
filter_upwards [hpairs,heU] with z hz hzu
obtain ⟨p,hp,heq⟩ := (hz.1.and hzu.1).exists
change p.1 * p.2⁻¹ = U z at heq
exact ⟨heq ▸ G.mul_mem hp.1 (G.inv_mem hp.2), hzu⟩
end StrongUnitary
namespace ConditionalFibres
lemma ae_of_ae_kernel {Ω Z V : Type*} [MeasurableSpace Ω] [MeasurableSpace Z]
[MeasurableSpace V] {μ : Measure Ω} {z : Ω → Z} {v : Ω → V}
{κ : Kernel Z V} (h : HasCondDistrib v z κ μ) {p : Z × V → Prop}
(hp : MeasurableSet {q | p q}) (hv : ∀ᵐ a ∂μ.map z, ∀ᵐ b ∂κ a, p (a,b)) :
∀ᵐ ω ∂μ, p (z ω,v ω) := by
have hh := Measure.ae_compProd_of_ae_ae hp hv
rw [←h.map_eq] at hh
exact ae_of_ae_map h.aemeasurable hh
end ConditionalFibres
namespace StrongUnitary
local instance : MeasurableSpace Circle := inferInstanceAs (MeasurableSpace (Submonoid.unitSphere ℂ))
local instance : BorelSpace Circle := inferInstanceAs (BorelSpace (Submonoid.unitSphere ℂ))
universe u
variable {Ω Z X Y C D : Type*} {H : Type u}
[MeasurableSpace Ω] [MeasurableSpace Z] [MeasurableSpace X] [MeasurableSpace Y]
[MeasurableSpace C] [MeasurableSpace D]
[NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H] [SecondCountableTopology H]
{μ : Measure Ω} {ν : Measure X} {η : Measure Y} {ξC : Measure C} {ξD : Measure D}
{z : Ω → Z} {x : Ω → X} {y : Ω → Y} {c : Ω → C} {d : Ω → D}
lemma spectral_corner
(G : Subgroup (H ≃ₗᵢ[ℂ] H)) (hG : IsClosed (G : Set (H ≃ₗᵢ[ℂ] H)))
(ρ τ : ProbabilityMeasure (H ≃ₗᵢ[ℂ] H))
(hρ : (ρ : Measure _).support = (G : Set (H ≃ₗᵢ[ℂ] H)))
(hτ : (τ : Measure _).support = (G : Set (H ≃ₗᵢ[ℂ] H)))
(hcomm : ∀ g ∈ G, ∀ h ∈ G, g*h = h*g)
(hinv : ∀ g ∈ G, (ρ : Measure _).map (g * ·) = ρ)
(a : X → H ≃ₗᵢ[ℂ] H) (b : Y → H ≃ₗᵢ[ℂ] H)
(f : C → H ≃ₗᵢ[ℂ] H) (g : D → H ≃ₗᵢ[ℂ] H)
(ha : MeasurePreserving a ν ρ) (hb : MeasurePreserving b η ρ)
(hf : MeasurePreserving f ξC τ) (hg : MeasurePreserving g ξD τ)
(κ ξ : Kernel Z ((H ≃ₗᵢ[ℂ] H) × (H ≃ₗᵢ[ℂ] H)))
[IsMarkovKernel κ] [IsMarkovKernel ξ]
(hκ : HasCondDistrib (fun ω => (a (x ω),b (y ω))) z κ μ)
(hξ : HasCondDistrib (fun ω => (f (c ω),g (d ω))) z ξ μ)
(hm : ∀ᵐ t ∂μ.map z, (κ t).map Prod.fst = ρ ∧ (κ t).map Prod.snd = ρ ∧
(ξ t).map Prod.fst = τ ∧ (ξ t).map Prod.snd = τ)
(hr : ∀ᵐ t ∂μ.map z, ∀ᵐ p ∂(κ t).prod (ξ t), p.1.1*p.2.2 = p.2.1*p.1.2) :
∃ (J : Type u) (_ : Countable J)
(A : X → J → Circle) (B : Y → J → Circle)
(F : C → J → Circle) (Q : D → J → Circle) (K : Z → J → Circle),
Measurable A ∧ Measurable B ∧ Measurable F ∧ Measurable Q ∧ Measurable K ∧
lpMeas ℂ ℂ (MeasurableSpace.comap a inferInstance) 2 ν =
lpMeas ℂ ℂ (MeasurableSpace.comap A inferInstance) 2 ν ∧
lpMeas ℂ ℂ (MeasurableSpace.comap b inferInstance) 2 η =
lpMeas ℂ ℂ (MeasurableSpace.comap B inferInstance) 2 η ∧
(∀ᵐ ω ∂μ, K (z ω) = A (x ω) * (B (y ω))⁻¹) ∧
(∀ᵐ ω ∂μ, K (z ω) = F (c ω) * (Q (d ω))⁻¹) := by
obtain ⟨U,hU,hUr⟩ := measurable_corner_ratio (μ.map z) κ ξ ρ τ G hρ hτ hcomm hm hr
obtain ⟨J,hJ,e,γ,hγ,he⟩ := polar_spectral G hG ρ hρ hcomm hinv
let sc := spectralCoords G γ
have hsc : Measurable sc := measurable_spectralCoords G hG γ hγ
have hgρ : ∀ᵐ v ∂(ρ : Measure _), v ∈ G := by
change (G : Set (H ≃ₗᵢ[ℂ] H)) ∈ ae (ρ : Measure _)
rw [←hρ]
exact Measure.support_mem_ae
have hgτ : ∀ᵐ v ∂(τ : Measure _), v ∈ G := by
change (G : Set (H ≃ₗᵢ[ℂ] H)) ∈ ae (τ : Measure _)
rw [←hτ]
exact Measure.support_mem_ae
have hmκ : ∀ᵐ t ∂μ.map z, ∀ᵐ p ∂κ t, p.1 ∈ G ∧ p.2 ∈ G := by
filter_upwards [hm] with t ht
exact (ae_of_ae_map measurable_fst.aemeasurable (ht.1 ▸ hgρ)).and
(ae_of_ae_map measurable_snd.aemeasurable (ht.2.1 ▸ hgρ))
have hmξ : ∀ᵐ t ∂μ.map z, ∀ᵐ p ∂ξ t, p.1 ∈ G ∧ p.2 ∈ G := by
filter_upwards [hm] with t ht
exact (ae_of_ae_map measurable_fst.aemeasurable (ht.2.2.1 ▸ hgτ)).and
(ae_of_ae_map measurable_snd.aemeasurable (ht.2.2.2 ▸ hgτ))
refine ⟨J,hJ,sc ∘ a,sc ∘ b,sc ∘ f,sc ∘ g,sc ∘ U,
hsc.comp ha.measurable,hsc.comp hb.measurable,hsc.comp hf.measurable,
hsc.comp hg.measurable,hsc.comp hU,?_,?_,?_,?_⟩
· exact lpMeas_spectralCoords ν G e γ he a (ha.quasiMeasurePreserving.ae hgρ)
· exact lpMeas_spectralCoords η G e γ he b (hb.quasiMeasurePreserving.ae hgρ)
· have hh : ∀ᵐ t ∂μ.map z, ∀ᵐ p ∂κ t, sc (U t) = sc p.1 * (sc p.2)⁻¹ := by
filter_upwards [hUr,hmκ] with t ht hm
filter_upwards [ht.2.1,hm] with p hp hmem
rw [←hp]
exact spectralCoords_mul_inv G γ hmem.1 hmem.2
exact ConditionalFibres.ae_of_ae_kernel hκ
(measurableSet_eq_fun ((hsc.comp hU).comp measurable_fst)
((hsc.comp measurable_snd.fst).mul (hsc.comp measurable_snd.snd).inv)) hh
· have hh : ∀ᵐ t ∂μ.map z, ∀ᵐ p ∂ξ t, sc (U t) = sc p.1 * (sc p.2)⁻¹ := by
filter_upwards [hUr,hmξ] with t ht hm
filter_upwards [ht.2.2,hm] with p hp hmem
rw [←hp]
exact spectralCoords_mul_inv G γ hmem.1 hmem.2
exact ConditionalFibres.ae_of_ae_kernel hξ
(measurableSet_eq_fun ((hsc.comp hU).comp measurable_fst)
((hsc.comp measurable_snd.fst).mul (hsc.comp measurable_snd.snd).inv)) hh
end StrongUnitary
end
section
open MeasureTheory ProbabilityTheory ContinuousLinearMap
local instance : MeasurableSpace Circle := inferInstanceAs (MeasurableSpace (Submonoid.unitSphere ℂ))
local instance : BorelSpace Circle := inferInstanceAs (BorelSpace (Submonoid.unitSphere ℂ))
universe u
variable {Ω Z X Y C D H₁ H₂ H₃ : Type*} {H₄ : Type u}
[MeasurableSpace Ω] [MeasurableSpace Z] [MeasurableSpace X] [MeasurableSpace Y]
[MeasurableSpace C] [MeasurableSpace D]
[NormedAddCommGroup H₁] [InnerProductSpace ℂ H₁] [CompleteSpace H₁] [SecondCountableTopology H₁]
[NormedAddCommGroup H₂] [InnerProductSpace ℂ H₂] [CompleteSpace H₂] [SecondCountableTopology H₂]
[NormedAddCommGroup H₃] [InnerProductSpace ℂ H₃] [CompleteSpace H₃] [SecondCountableTopology H₃]
[NormedAddCommGroup H₄] [InnerProductSpace ℂ H₄] [CompleteSpace H₄] [SecondCountableTopology H₄]
{μ : Measure Ω} [IsProbabilityMeasure μ]
{μX : Measure X} {μY : Measure Y} {μC : Measure C} {μD : Measure D}
[IsProbabilityMeasure μX] [IsProbabilityMeasure μY]
[IsProbabilityMeasure μC] [IsProbabilityMeasure μD]
{x : Ω → X} {y : Ω → Y} {c : Ω → C} {d : Ω → D}
{F : X → H₂ →L[ℂ] H₁} {G : Y → H₄ →L[ℂ] H₃}
{K : C → H₃ →L[ℂ] H₁} {N : D → H₄ →L[ℂ] H₂}
omit [SecondCountableTopology H₁] [IsProbabilityMeasure μY] [IsProbabilityMeasure μD] in
lemma MeasurablePolarRectangle.torus_coordinates
(R : MeasurablePolarRectangle μ μX μY μC μD F G K N x y c d)
(hR : R.HasHaarNormalization)
{z : Ω → Z}
(κ : Kernel Z (X × Y)) (ξ : Kernel Z (C × D)) [IsMarkovKernel κ] [IsMarkovKernel ξ]
(hκ : HasCondDistrib (fun ω => (x ω,y ω)) z κ μ)
(hξ : HasCondDistrib (fun ω => (c ω,d ω)) z ξ μ)
(hpair : HasCondDistrib (fun ω => ((x ω,y ω),(c ω,d ω))) z (κ ×ₖ ξ) μ)
(hκm : ∀ᵐ v ∂μ.map z, (κ v).map Prod.fst = μX ∧ (κ v).map Prod.snd = μY)
(hξm : ∀ᵐ v ∂μ.map z, (ξ v).map Prod.fst = μC ∧ (ξ v).map Prod.snd = μD) :
∃ (J : Type u) (_ : Countable J)
(A : X → J → Circle) (B : Y → J → Circle)
(P : C → J → Circle) (Q : D → J → Circle) (H : Z → J → Circle),
Measurable A ∧ Measurable B ∧ Measurable P ∧ Measurable Q ∧ Measurable H ∧
lpMeas ℂ ℂ (MeasurableSpace.comap R.a.unitary inferInstance) 2 μX =
lpMeas ℂ ℂ (MeasurableSpace.comap A inferInstance) 2 μX ∧
lpMeas ℂ ℂ (MeasurableSpace.comap R.b.unitary inferInstance) 2 μY =
lpMeas ℂ ℂ (MeasurableSpace.comap B inferInstance) 2 μY ∧
(∀ᵐ ω ∂μ, H (z ω) = A (x ω) * (B (y ω))⁻¹) ∧
(∀ᵐ ω ∂μ, H (z ω) = P (c ω) * (Q (d ω))⁻¹) := by
obtain ⟨a₀,b₀,d₀,S,hS,hAB,hCD,hρ,hτ,hcomm,hinv⟩ := hR
let na := StrongUnitary.normalizeA a₀ d₀
let nb := StrongUnitary.normalizeB b₀
let nc := StrongUnitary.normalizeC a₀ b₀ d₀
let nd := StrongUnitary.normalizeD d₀
have hna : Measurable na := (StrongUnitary.continuous_normalizeA a₀ d₀).measurable
have hnb : Measurable nb := (StrongUnitary.continuous_normalizeB b₀).measurable
have hnc : Measurable nc := (StrongUnitary.continuous_normalizeC a₀ b₀ d₀).measurable
have hnd : Measurable nd := (StrongUnitary.continuous_normalizeD d₀).measurable
let aa := na ∘ R.a.unitary
let bb := nb ∘ R.b.unitary
let cc := nc ∘ R.p.unitary
let dd := nd ∘ R.q.unitary
have ha : Measurable aa := hna.comp R.a.measurable
have hb : Measurable bb := hnb.comp R.b.measurable
have hc : Measurable cc := hnc.comp R.p.measurable
have hd : Measurable dd := hnd.comp R.q.measurable
let ρ : ProbabilityMeasure (H₄ ≃ₗᵢ[ℂ] H₄) :=
⟨μX.map aa,(fun mapMeasurable => (Measure.isProbabilityMeasure_map_iff mapMeasurable).mpr inferInstance) ha.aemeasurable⟩
let τ : ProbabilityMeasure (H₄ ≃ₗᵢ[ℂ] H₄) :=
⟨μC.map cc,(fun mapMeasurable => (Measure.isProbabilityMeasure_map_iff mapMeasurable).mpr inferInstance) hc.aemeasurable⟩
have hρeq : (μX.map R.a.unitary).map na = (ρ : Measure _) :=
Measure.map_map hna R.a.measurable
have hτeq : (μC.map R.p.unitary).map nc = (τ : Measure _) :=
Measure.map_map hnc R.p.measurable
change (μX.map R.a.unitary).map na = (μY.map R.b.unitary).map nb at hAB
change (μC.map R.p.unitary).map nc = (μD.map R.q.unitary).map nd at hCD
have hab : μY.map bb = (ρ : Measure _) :=
(Measure.map_map hnb R.b.measurable).symm.trans (hAB.symm.trans hρeq)
have hcd : μD.map dd = (τ : Measure _) :=
(Measure.map_map hnd R.q.measurable).symm.trans (hCD.symm.trans hτeq)
let α := κ.map (Prod.map aa bb)
let β := ξ.map (Prod.map cc dd)
let : IsMarkovKernel α := Kernel.IsMarkovKernel.map κ (ha.prodMap hb)
let : IsMarkovKernel β := Kernel.IsMarkovKernel.map ξ (hc.prodMap hd)
have hα : HasCondDistrib (fun ω => (aa (x ω),bb (y ω))) z α μ := hκ.comp_left (ha.prodMap hb)
have hβ : HasCondDistrib (fun ω => (cc (c ω),dd (d ω))) z β μ := hξ.comp_left (hc.prodMap hd)
have hm : ∀ᵐ v ∂μ.map z, (α v).map Prod.fst = ρ ∧ (α v).map Prod.snd = ρ ∧
(β v).map Prod.fst = τ ∧ (β v).map Prod.snd = τ := by
filter_upwards [hκm,hξm] with v hv hw
dsimp only [α,β]
rw [kernel_map_pair_fst _ _ ha hb,kernel_map_pair_snd _ _ ha hb,
kernel_map_pair_fst _ _ hc hd,kernel_map_pair_snd _ _ hc hd,hv.1,hv.2,hw.1,hw.2,hab,hcd]
exact ⟨rfl,rfl,rfl,rfl⟩
have hr : ∀ᵐ v ∂μ.map z, ∀ᵐ w ∂(α v).prod (β v), w.1.1*w.2.2 = w.2.1*w.1.2 := by
have hh := hpair.comp_left ((ha.prodMap hb).prodMap (hc.prodMap hd))
have he : (κ ×ₖ ξ).map (Prod.map (Prod.map aa bb) (Prod.map cc dd)) = α ×ₖ β :=
(Kernel.map_prod_map κ ξ (ha.prodMap hb) (hc.prodMap hd)).symm
rw [he] at hh
have hr := ConditionalFibres.ae_kernel hh
(isClosed_eq (continuous_fst.fst.mul continuous_snd.snd)
(continuous_snd.fst.mul continuous_fst.snd)).measurableSet
(R.rectangle.mono (fun ω hω => StrongUnitary.normalized_rectangle a₀
(R.a.unitary (x ω)) b₀ (R.b.unitary (y ω)) (R.p.unitary (c ω)) d₀ (R.q.unitary (d ω)) hω))
simpa only [Kernel.prod_apply, Pi.mul_apply] using hr
have hρs : (ρ : Measure _).support = (S : Set (H₄ ≃ₗᵢ[ℂ] H₄)) := by rw [←hρeq]; exact hρ
have hτs : (τ : Measure _).support = (S : Set (H₄ ≃ₗᵢ[ℂ] H₄)) := by rw [←hτeq]; exact hτ
have hρi : ∀ g ∈ S, (ρ : Measure _).map (g*·) = ρ := by rw [←hρeq]; exact hinv
obtain ⟨J,hJ,A,B,P,Q,H,hA,hB,hP,hQ,hH,hfa,hfb,hra,hrb⟩ :=
StrongUnitary.spectral_corner S hS ρ τ hρs hτs hcomm hρi aa bb cc dd
⟨ha,rfl⟩ ⟨hb,hab⟩ ⟨hc,rfl⟩ ⟨hd,hcd⟩ α β hα hβ hm hr
refine ⟨J,hJ,A,B,P,Q,H,hA,hB,hP,hQ,hH,?_,?_,hra,hrb⟩
· rw [←StrongUnitary.comap_normalizeA a₀ d₀ R.a.unitary]
exact hfa
· rw [←StrongUnitary.comap_normalizeB b₀ R.b.unitary]
exact hfb
end
section
open MeasureTheory
variable {X G : Type*} [TopologicalSpace X] [CompactSpace X] [Group G]
def characterAlgebra (χ : G →* C(X,ℂ)) (hs : ∀ g, star (χ g) = χ g⁻¹) :
StarSubalgebra ℂ C(X,ℂ) where
toSubalgebra := Algebra.adjoin ℂ (Set.range χ)
star_mem' := by
intro f hf
induction hf using Algebra.adjoin_induction with
| mem f hf =>
obtain ⟨g,rfl⟩ := hf
rw [hs]
exact Algebra.subset_adjoin ⟨g⁻¹,rfl⟩
| algebraMap c =>
exact (Algebra.adjoin ℂ (Set.range χ)).algebraMap_mem (star c)
| add f g hf hg hfs hgs =>
rw [star_add]
exact (Algebra.adjoin ℂ (Set.range χ)).add_mem hfs hgs
| mul f g hf hg hfs hgs =>
rw [star_mul]
exact (Algebra.adjoin ℂ (Set.range χ)).mul_mem hgs hfs
lemma characterAlgebra_span (χ : G →* C(X,ℂ)) (hs : ∀ g, star (χ g) = χ g⁻¹) :
(characterAlgebra χ hs).toSubmodule = Submodule.span ℂ (Set.range χ) := by
change (Algebra.adjoin ℂ (Set.range χ)).toSubmodule = _
rw [Algebra.adjoin_eq_span]
rw [←MonoidHom.coe_mrange χ, (MonoidHom.mrange χ).closure_eq]
lemma dense_character_span (χ : G →* C(X,ℂ)) (hs : ∀ g, star (χ g) = χ g⁻¹)
(hsep : ∀ x y : X, x ≠ y → ∃ g, χ g x ≠ χ g y) :
(Submodule.span ℂ (Set.range χ)).topologicalClosure = ⊤ := by
have hA : (characterAlgebra χ hs).SeparatesPoints := by
intro x y hxy
obtain ⟨g,hg⟩ := hsep x y hxy
refine ⟨(χ g : X → ℂ), ⟨χ g, Algebra.subset_adjoin ⟨g,rfl⟩, rfl⟩, hg⟩
have h := ContinuousMap.starSubalgebra_topologicalClosure_eq_top_of_separatesPoints
(characterAlgebra χ hs) hA
have hh := congrArg (fun A : StarSubalgebra ℂ C(X,ℂ) => A.toSubalgebra.toSubmodule) h
change (characterAlgebra χ hs).toSubmodule.topologicalClosure = ⊤ at hh
rwa [characterAlgebra_span] at hh
end
section
open MeasureTheory
open scoped ENNReal
variable {I : Type*}
def torusWordCircle : FreeGroup I →* C((I → Circle), Circle) :=
FreeGroup.lift (fun i => ⟨fun x => x i, continuous_apply i⟩)
def circleMapComplex {X : Type*} [TopologicalSpace X] : C(X,Circle) →* C(X,ℂ) where
toFun f := ⟨fun x => (f x : ℂ), continuous_subtype_val.comp f.continuous⟩
map_one' := by ext x; rfl
map_mul' f g := by ext x; rfl
def torusWord : FreeGroup I →* C((I → Circle),ℂ) :=
circleMapComplex.comp torusWordCircle
lemma torusWord_star (w : FreeGroup I) : star (torusWord w) = torusWord w⁻¹ := by
ext x
change star ((torusWordCircle w x : Circle) : ℂ) = (torusWordCircle w⁻¹ x : ℂ)
rw [map_inv]
exact (Circle.coe_inv_eq_conj (torusWordCircle w x)).symm
@[simp] lemma torusWord_of (i : I) (x : I → Circle) :
torusWord (FreeGroup.of i) x = (x i : ℂ) := by
change (torusWordCircle (FreeGroup.of i) x : ℂ) = _
simp only [torusWordCircle, FreeGroup.lift_apply_of]
rfl
lemma torusWord_dense :
(Submodule.span ℂ (Set.range (torusWord (I := I)))).topologicalClosure = ⊤ := by
apply dense_character_span _ torusWord_star
intro x y hxy
obtain ⟨i,hi⟩ := Function.ne_iff.mp hxy
refine ⟨FreeGroup.of i, ?_⟩
simpa only [torusWord_of] using (fun h => hi (Subtype.ext h))
variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E]
[NormedAddCommGroup F] [NormedSpace ℂ F]
lemma dense_span_image (A : E →L[ℂ] F) (hA : DenseRange A) (s : Set E)
(hs : (Submodule.span ℂ s).topologicalClosure = ⊤) :
(Submodule.span ℂ (A '' s)).topologicalClosure = ⊤ := by
let P := (Submodule.span ℂ (A '' s)).topologicalClosure
have hspan : Submodule.span ℂ s ≤ P.comap A.toLinearMap := by
apply Submodule.span_le.mpr
intro x hx
exact Submodule.le_topologicalClosure _ (Submodule.subset_span ⟨x,hx,rfl⟩)
have htop : ⊤ ≤ P.comap A.toLinearMap := by
rw [←hs]
exact Submodule.topologicalClosure_minimal _ hspan
((Submodule.isClosed_topologicalClosure _).preimage A.continuous)
apply top_unique
intro x hx
exact (Submodule.isClosed_topologicalClosure _).closure_subset_iff.mpr
(Set.range_subset_iff.mpr (fun v => htop (show v ∈ (⊤ : Submodule ℂ E) from trivial)))
(by rw [hA.closure_range]; trivial : x ∈ closure (Set.range A))
lemma dense_span_continuous_toLp {X J : Type*} [TopologicalSpace X] [CompactSpace X]
[NormalSpace X] [MeasurableSpace X] [BorelSpace X]
(μ : Measure X) [IsFiniteMeasure μ] [μ.WeaklyRegular]
(f : J → C(X,ℂ)) (hf : (Submodule.span ℂ (Set.range f)).topologicalClosure = ⊤) :
(Submodule.span ℂ (Set.range (fun j => ContinuousMap.toLp 2 μ ℂ (f j)))).topologicalClosure = ⊤ := by
have hD : DenseRange (ContinuousMap.toLp 2 μ ℂ : C(X,ℂ) →L[ℂ] Lp ℂ 2 μ) :=
ContinuousMap.toLp_denseRange ℂ μ ℂ (by norm_num : (2 : ENNReal) ≠ ∞)
have h := dense_span_image (ContinuousMap.toLp 2 μ ℂ : C(X,ℂ) →L[ℂ] Lp ℂ 2 μ) hD
(Set.range f) hf
simpa only [←Set.range_comp, Function.comp_def] using h
local instance : MeasurableSpace Circle := inferInstanceAs (MeasurableSpace (Submonoid.unitSphere ℂ))
local instance : BorelSpace Circle := inferInstanceAs (BorelSpace (Submonoid.unitSphere ℂ))
lemma torusWord_L2_dense [Countable I] (μ : Measure (I → Circle)) [IsFiniteMeasure μ] :
(Submodule.span ℂ (Set.range (fun w => ContinuousMap.toLp 2 μ ℂ (torusWord (I := I) w)))).topologicalClosure = ⊤ := by
exact dense_span_continuous_toLp μ (torusWord (I := I)) torusWord_dense
end
variable {I : Type*}
lemma torusWordCircle_of (i : I) (x : I → Circle) :
torusWordCircle (FreeGroup.of i) x = x i := by
simp only [torusWordCircle, FreeGroup.lift_apply_of]
rfl
lemma torusWordCircle_mul (w : FreeGroup I) (x y : I → Circle) :
torusWordCircle w (x*y) = torusWordCircle w x * torusWordCircle w y := by
induction w using FreeGroup.induction_on with
| one => simp only [map_one, ContinuousMap.one_apply, one_mul]
| of i => simp only [torusWordCircle_of, Pi.mul_apply]
| inv_of i hi =>
simp only [map_inv, ContinuousMap.inv_apply, hi, mul_inv_rev]
exact mul_comm _ _
| mul a b ha hb =>
simp only [map_mul, ContinuousMap.mul_apply, ha, hb]
ac_rfl
lemma torusWordCircle_one (w : FreeGroup I) : torusWordCircle w (1 : I → Circle) = 1 := by
have h := torusWordCircle_mul w (1 : I → Circle) 1
simp only [one_mul] at h
exact mul_left_cancel (by simpa only [mul_one] using h.symm :
torusWordCircle w 1 * torusWordCircle w 1 = torusWordCircle w 1 * 1)
lemma torusWordCircle_inv (w : FreeGroup I) (x : I → Circle) :
torusWordCircle w x⁻¹ = (torusWordCircle w x)⁻¹ := by
symm
apply inv_eq_of_mul_eq_one_left
rw [←torusWordCircle_mul, inv_mul_cancel, torusWordCircle_one]
def torusCharacter (w : FreeGroup I) : (I → Circle) →* Circle where
toFun := torusWordCircle w
map_one' := torusWordCircle_one w
map_mul' := torusWordCircle_mul w
lemma torusWord_ratio (w : FreeGroup I) (x y : I → Circle) :
torusWord w (x*y⁻¹) = torusWord w x * star (torusWord w y) := by
change (torusCharacter w (x*y⁻¹) : ℂ) =
(torusCharacter w x : ℂ) * star (torusCharacter w y : ℂ)
rw [map_mul, map_inv, Circle.coe_mul, Circle.coe_inv_eq_conj]
rfl
lemma torusWord_norm (w : FreeGroup I) (x : I → Circle) : ‖torusWord w x‖ = 1 := by
change ‖(torusWordCircle w x : ℂ)‖ = 1
exact Circle.norm_coe _
end Rokhlin
end
end OAI