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Add lean source and binary files (part 17)
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import Mathlib.Analysis.InnerProductSpace.Orthonormal
import Mathlib.Topology.Order.IsLUB
import Mathlib.Topology.Order.MonotoneConvergence
import OAI.Analysis.FactorGeneration.HilbertLimits
namespace OAI
noncomputable section
namespace Generator.Tracial
/-! Popa's extension order on actual supported partial unitaries, and its
exact L2 distance identity. -/
section
open UltrapowerBridge
variable {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]
variable {M : VonNeumannAlgebra H}
structure PartialUnitary (M : VonNeumannAlgebra H) where
support : AlgebraProjection M
unitary : CornerUnitary support
namespace PartialUnitary
abbrev val (v : PartialUnitary M) := v.unitary.val
def Extends (v w : PartialUnitary M) : Prop := w.val*v.support.val=v.val
theorem support_le_of_extends {v w : PartialUnitary M} (h : Extends v w) :
v.support ≤ w.support := by
have hv : w.support.val*v.val=v.val := by
calc w.support.val*v.val = w.support.val*(w.val*v.support.val) := by rw [h]
_ = v.val := by rw [← mul_assoc,w.unitary.support_mul]; exact h
change w.support.val*v.support.val=v.support.val
calc w.support.val*v.support.val = w.support.val*(v.val*star v.val) := by rw [v.unitary.final]
_ = v.support.val := by rw [← mul_assoc,hv,v.unitary.final]
theorem cross_initial {v w : PartialUnitary M} (h : Extends v w) :
star w.val*v.val=v.support.val := by
calc star w.val*v.val = star w.val*(w.val*v.support.val) := by rw [h]
_ = v.support.val := by rw [← mul_assoc,w.unitary.initial]; exact support_le_of_extends h
theorem cross_initial_rev {v w : PartialUnitary M} (h : Extends v w) :
star v.val*w.val=v.support.val := by
simpa only [star_mul,star_star,v.support.property.isSelfAdjoint.star_eq]
using congrArg star (cross_initial h)
theorem left_extends {v w : PartialUnitary M} (h : Extends v w) :
v.support.val*w.val=v.val := by
calc v.support.val*w.val = (v.val*star v.val)*w.val := by rw [v.unitary.final]
_ = v.val := by rw [mul_assoc,cross_initial_rev h,v.unitary.mul_support]
theorem extends_refl (v : PartialUnitary M) : Extends v v := v.unitary.mul_support
theorem extends_trans {u v w : PartialUnitary M} (huv : Extends u v) (hvw : Extends v w) :
Extends u w := by
change w.val*u.support.val=u.val
calc w.val*u.support.val = w.val*(v.support.val*u.support.val) := by
rw [show v.support.val*u.support.val=u.support.val from support_le_of_extends huv]
_ = u.val := by rw [← mul_assoc,hvw,huv]
@[ext] theorem ext {v w : PartialUnitary M} (h : v.val=w.val) : v=w := by
have hp : v.support=w.support := by
apply Subtype.ext
calc v.support.val = star v.val*v.val := v.unitary.initial.symm
_ = star w.val*w.val := by rw [h]
_ = w.support.val := w.unitary.initial
cases v with | mk p v =>
cases w with | mk q w =>
dsimp at hp
subst q
congr 1
cases v
cases w
congr 1
instance : PartialOrder (PartialUnitary M) where
le := Extends
le_refl := extends_refl
le_trans _ _ _ := extends_trans
le_antisymm v w hvw hwv := by
apply ext
have hs := le_antisymm (support_le_of_extends hvw) (support_le_of_extends hwv)
change w.val*v.support.val=v.val at hvw
rw [hs,w.unitary.mul_support] at hvw
exact hvw.symm
theorem support_mono {v w : PartialUnitary M} (h : v ≤ w) : v.support ≤ w.support :=
support_le_of_extends h
theorem difference_square {v w : PartialUnitary M} (h : v ≤ w) :
star (w.val-v.val)*(w.val-v.val)=w.support.val-v.support.val := by
simp only [star_sub,sub_mul,mul_sub,w.unitary.initial,v.unitary.initial,
cross_initial h,cross_initial_rev h,sub_self,sub_zero]
theorem distance_sq (τ : TracialRepresentation M) {v w : PartialUnitary M} (h : v ≤ w) :
τ.norm₂ (w.val-v.val)^2=(τ.trace w.support.val).re-(τ.trace v.support.val).re := by
have he := congrArg Complex.re (τ.trace_star_mul (w.val-v.val))
rw [difference_square h,trace_sub,Complex.sub_re] at he
simpa only [← Complex.ofReal_pow,Complex.ofReal_re] using he.symm
theorem support_trace_mono (τ : TracialRepresentation M) {v w : PartialUnitary M} (h : v ≤ w) :
(τ.trace v.support.val).re ≤ (τ.trace w.support.val).re := by
have he := distance_sq τ h
nlinarith [sq_nonneg (τ.norm₂ (w.val-v.val))]
end PartialUnitary
end
/-! Actual L2 limits of partial unitaries and upper bounds of increasing
sequences, using their exact support-trace distance. -/
section
open Filter
open scoped Topology
open UltrapowerBridge
variable {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]
variable {M : VonNeumannAlgebra H} (τ : TracialRepresentation M)
namespace PartialUnitary
theorem support_trace_le_one (v : PartialUnitary M) : (τ.trace v.support.val).re ≤ 1 := by
rw [projection_trace_sq τ _ v.support.property]
have h := (τ.norm₂_le_norm v.support.val).trans v.support.property.norm_le
nlinarith [show 0 ≤ τ.norm₂ v.support.val from norm_nonneg _]
theorem monotone_cauchy (a : ℕ → PartialUnitary M) (ha : Monotone a) :
CauchySeq (fun n => ((a n).val : H →L[ℂ] H) τ.vector) := by
let t : ℕ → ℝ := fun n => (τ.trace (a n).support.val).re
have ht : Monotone t := fun i j hij => support_trace_mono τ (ha hij)
have hb : BddAbove (Set.range t) := ⟨1,by rintro _ ⟨n,rfl⟩; exact support_trace_le_one τ (a n)⟩
have hc := tendsto_atTop_ciSup ht hb
apply Metric.cauchySeq_iff'.mpr
intro ε hε
obtain ⟨N,hN⟩ := eventually_atTop.mp (hc (Ioi_mem_nhds (show (⨆ n, t n)-ε^2 < ⨆ n,t n by nlinarith)))
refine ⟨N,fun n hn => ?_⟩
have hupper : t n ≤ ⨆ n,t n := le_ciSup hb n
have hsmall : (⨆ n,t n)-ε^2 < t N := hN N le_rfl
have he := distance_sq τ (ha hn)
change τ.norm₂ ((a n).val-(a N).val)^2=t n-t N at he
rw [dist_eq_norm]
change τ.norm₂ ((a n).val-(a N).val)<ε
nlinarith [show 0 ≤ τ.norm₂ ((a n).val-(a N).val) from norm_nonneg _]
/-- Closedness of actual partial unitaries in the operator norm unit ball
for L2 convergence. -/
theorem of_L2_limit (a : ℕ → PartialUnitary M) (b : M.toStarSubalgebra)
(hb : Tendsto (fun n => τ.norm₂ ((a n).val-b)) atTop (𝓝 0)) :
∃ v : PartialUnitary M, v.val=b := by
let p : M.toStarSubalgebra := star b*b
have hp : Tendsto (fun n => τ.norm₂ ((a n).support.val-p)) atTop (𝓝 0) := by
have ht := norm₂_limit_mul τ (fun n => star (a n).val) (fun n => (a n).val)
(star b) b 1 (fun n => (a n).unitary.adjoint.norm_le_one)
(norm₂_limit_star τ _ _ hb) hb
simpa only [(a _).unitary.initial] using ht
have hfinal : b*star b=p := by
have ht := norm₂_limit_mul τ (fun n => (a n).val) (fun n => star (a n).val)
b (star b) 1 (fun n => (a n).unitary.norm_le_one) hb (norm₂_limit_star τ _ _ hb)
have ht' : Tendsto (fun n => τ.norm₂ ((a n).support.val-b*star b)) atTop (𝓝 0) := by
simpa only [(a _).unitary.final] using ht
exact norm₂_limit_unique τ _ ht' hp
have hproj : IsStarProjection p := by
constructor
· have ht := norm₂_limit_mul τ (fun n => (a n).support.val) (fun n => (a n).support.val)
p p 1 (fun n => (a n).support.property.norm_le) hp hp
have ht' : Tendsto (fun n => τ.norm₂ ((a n).support.val-p*p)) atTop (𝓝 0) := by
simpa only [(a _).support.property.isIdempotentElem.eq] using ht
exact norm₂_limit_unique τ _ ht' hp
· change star (star b*b)=star b*b
simp only [star_mul,star_star]
exact ⟨⟨⟨p,hproj⟩,⟨b,rfl,hfinal⟩⟩,rfl⟩
/-- A bounded L2 limit retains every eventually fixed extension. -/
theorem le_of_eventually_le_limit (a : ℕ → PartialUnitary M) (v w : PartialUnitary M)
(hv : Tendsto (fun n => τ.norm₂ ((a n).val-v.val)) atTop (𝓝 0))
(hw : ∀ᶠ n in atTop, w ≤ a n) : w ≤ v := by
have ht := norm₂_limit_mul τ (fun n => (a n).val) (fun _ => w.support.val)
v.val w.support.val 1 (fun n => (a n).unitary.norm_le_one) hv
(by simp only [sub_self,TracialRepresentation.norm₂_zero]; exact tendsto_const_nhds)
have hc : Tendsto (fun n => τ.norm₂ ((a n).val*w.support.val-w.val)) atTop (𝓝 0) := by
apply tendsto_const_nhds.congr'
filter_upwards [hw] with n hn
rw [show (a n).val*w.support.val=w.val from hn,sub_self,τ.norm₂_zero]
exact norm₂_limit_unique τ _ ht hc
theorem monotone_limit (a : ℕ → PartialUnitary M) (ha : Monotone a) :
∃ v : PartialUnitary M, (∀ n, a n ≤ v) ∧
Tendsto (fun n => τ.norm₂ ((a n).val-v.val)) atTop (𝓝 0) := by
obtain ⟨ξ,hξ⟩ := cauchySeq_tendsto_of_complete (monotone_cauchy τ a ha)
obtain ⟨b,hb,hbξ⟩ := bounded_trace_limit τ (fun n => (a n).val) 1 (by norm_num)
(fun n => (a n).unitary.norm_le_one) ξ hξ
have ht : Tendsto (fun n => τ.norm₂ ((a n).val-b)) atTop (𝓝 0) := by
apply (tendsto_vector_iff_norm₂ τ atTop _ b).mp
simpa only [hbξ] using hξ
obtain ⟨v,hv⟩ := of_L2_limit τ a b ht
rw [← hv] at ht
refine ⟨v,fun n => ?_,ht⟩
apply le_of_eventually_le_limit τ a v (a n) ht
exact (eventually_ge_atTop n).mono (fun m hm => ha hm)
/-! Every nonempty chain of actual partial unitaries has an upper bound which
is an L2 limit of a sequence from the chain. This is the analytic chain
construction underlying the error-constrained Zorn argument. -/
theorem eq_of_le_of_trace_eq {v w : PartialUnitary M} (h : v ≤ w)
(ht : (τ.trace v.support.val).re=(τ.trace w.support.val).re) : v=w := by
have he := distance_sq τ h
rw [ht,sub_self] at he
have hz := (τ.norm₂_eq_zero_iff _).mp (sq_eq_zero_iff.mp he)
exact ext (sub_eq_zero.mp hz).symm
theorem support_limit (a : ℕ → PartialUnitary M) (v : PartialUnitary M)
(hv : Tendsto (fun n => τ.norm₂ ((a n).val-v.val)) atTop (𝓝 0)) :
Tendsto (fun n => τ.norm₂ ((a n).support.val-v.support.val)) atTop (𝓝 0) := by
have ht := norm₂_limit_mul τ (fun n => star (a n).val) (fun n => (a n).val)
(star v.val) v.val 1 (fun n => (a n).unitary.adjoint.norm_le_one)
(norm₂_limit_star τ _ _ hv) hv
simpa only [(a _).unitary.initial,v.unitary.initial] using ht
theorem support_trace_limit (a : ℕ → PartialUnitary M) (v : PartialUnitary M)
(hv : Tendsto (fun n => τ.norm₂ ((a n).val-v.val)) atTop (𝓝 0)) :
Tendsto (fun n => (τ.trace (a n).support.val).re) atTop (𝓝 (τ.trace v.support.val).re) :=
(Complex.continuous_re.tendsto _).comp (norm₂_limit_trace τ _ _ (support_limit τ a v hv))
theorem limit_le_of_le (a : ℕ → PartialUnitary M) (v w : PartialUnitary M)
(hv : Tendsto (fun n => τ.norm₂ ((a n).val-v.val)) atTop (𝓝 0))
(hw : ∀ n, a n ≤ w) : v ≤ w := by
have ht := norm₂_limit_mul τ (fun _ => w.val) (fun n => (a n).support.val)
w.val v.support.val 1 (fun _ => w.unitary.norm_le_one)
(by simp only [sub_self,TracialRepresentation.norm₂_zero]; exact tendsto_const_nhds)
(support_limit τ a v hv)
have he : (fun n => w.val*(a n).support.val)=(fun n => (a n).val) := funext hw
simp only [show ∀ n, w.val*(a n).support.val=(a n).val from hw] at ht
exact norm₂_limit_unique τ _ ht hv
/-- A nonempty chain has a sequential L2 upper bound; no countability of the
chain and no cyclicity of the trace vector are assumed. -/
theorem chain_limit (c : Set (PartialUnitary M)) (hc : IsChain (· ≤ ·) c) (hne : c.Nonempty) :
∃ (a : ℕ → PartialUnitary M) (v : PartialUnitary M),
(∀ n, a n ∈ c) ∧ Monotone a ∧ (∀ w ∈ c, w ≤ v) ∧
Tendsto (fun n => τ.norm₂ ((a n).val-v.val)) atTop (𝓝 0) := by
classical
let t : PartialUnitary M → ℝ := fun v => (τ.trace v.support.val).re
have hb : BddAbove (t '' c) := ⟨1,by rintro _ ⟨w,hw,rfl⟩; exact support_trace_le_one τ w⟩
obtain ⟨r,hrmono,hrlim,hrmem⟩ := exists_seq_tendsto_sSup (hne.image t) hb
choose a hac har using hrmem
have htotal : ∀ u ∈ c, ∀ v ∈ c, u ≤ v ∨ v ≤ u := by
intro u hu v hv
by_cases he : u=v
· exact Or.inl he.le
· exact hc hu hv he
have hmono : Monotone a := by
intro i j hij
rcases htotal (a i) (hac i) (a j) (hac j) with h | h
· exact h
· have he : t (a j)=t (a i) := le_antisymm (support_trace_mono τ h)
(by rw [har,har]; exact hrmono hij)
exact (eq_of_le_of_trace_eq τ h he).symm.le
obtain ⟨v,hav,hlim⟩ := monotone_limit τ a hmono
have htv : t v=sSup (t '' c) := by
apply tendsto_nhds_unique (support_trace_limit τ a v hlim)
change Tendsto (fun n => t (a n)) atTop (𝓝 (sSup (t '' c)))
simpa only [har] using hrlim
refine ⟨a,v,hac,hmono,?_,hlim⟩
intro w hw
by_cases hex : ∃ n, w ≤ a n
· obtain ⟨n,hn⟩ := hex
exact hn.trans (hav n)
· have haw : ∀ n, a n ≤ w := by
intro n
exact (htotal (a n) (hac n) w hw).resolve_right (fun h => hex ⟨n,h⟩)
have hvw := limit_le_of_le τ a v w hlim haw
have htw : t w ≤ t v := by rw [htv]; exact le_csSup hb ⟨w,hw,rfl⟩
have he : t v=t w := le_antisymm (support_trace_mono τ hvw) htw
exact (eq_of_le_of_trace_eq τ hvw he).symm.le
end PartialUnitary
end
/-! Actual orthogonal corner unitaries from dyadic trace cuts. These supply
weakly vanishing scalar matrix coefficients for the scalar-commutant case
of Popa's coordinate nonintertwining criterion. -/
section
open Filter
open scoped Topology BigOperators
open UltrapowerBridge
variable {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]
variable {M : VonNeumannAlgebra H} (τ : TracialRepresentation M)
variable (hdiff : ∀ p : M.toStarSubalgebra, IsStarProjection p → p ≠ 0 →
∃ q : M.toStarSubalgebra, IsStarProjection q ∧ q ≠ 0 ∧ q ≠ p ∧ p*q = q ∧ q*p = q)
def dyadicSign (n : ℕ) (i : DyadicIndex (n+1)) : ℂ := if i.2 then -1 else 1
def dyadicRademacher (p : AlgebraProjection M) (n : ℕ) : M.toStarSubalgebra :=
dyadicEval τ hdiff p (n+1) (dyadicSign n)
theorem dyadicRademacher_star (p : AlgebraProjection M) (n : ℕ) :
star (dyadicRademacher τ hdiff p n)=dyadicRademacher τ hdiff p n := by
unfold dyadicRademacher dyadicEval
rw [projectionSum_star]
congr 1
funext i
cases h : i.2 <;> simp [dyadicSign,h]
theorem dyadicRademacher_sq (p : AlgebraProjection M) (n : ℕ) :
dyadicRademacher τ hdiff p n*dyadicRademacher τ hdiff p n=p.val := by
unfold dyadicRademacher dyadicEval
rw [projectionSum_mul _ (dyadicProjection_orthogonal τ hdiff p (n+1))]
have he : (fun i : DyadicIndex (n+1) => dyadicSign n i*dyadicSign n i) = fun _ => 1 := by
funext i
cases h : i.2 <;> simp [dyadicSign,h]
rw [he]
exact dyadicEval_one τ hdiff p (n+1)
def dyadicCornerUnitary (p : AlgebraProjection M) (n : ℕ) : CornerUnitary p where
val := dyadicRademacher τ hdiff p n
initial := by rw [dyadicRademacher_star,dyadicRademacher_sq]
final := by rw [dyadicRademacher_star,dyadicRademacher_sq]
/-- The next sign is centered even after multiplication by an arbitrary
member of the previous finite dyadic algebra. -/
theorem dyadicRademacher_centered_over_previous (p : AlgebraProjection M) (n : ℕ)
(c : DyadicIndex n → ℂ) :
τ.trace (dyadicEval τ hdiff p n c*dyadicRademacher τ hdiff p n)=0 := by
rw [← dyadicEval_refine τ hdiff p n c]
unfold dyadicRademacher dyadicEval
rw [projectionSum_mul _ (dyadicProjection_orthogonal τ hdiff p (n+1))]
rw [dyadicEval_trace]
change (∑ i : DyadicIndex n × Bool,
(c i.1*dyadicSign n i)*((τ.trace p.val).re/(2:ℝ)^(n+1) : ℝ))=0
rw [Fintype.sum_prod_type]
apply Finset.sum_eq_zero
intro i _
rw [Fintype.sum_bool]
simp [dyadicSign]
theorem dyadicRademacher_trace_mul_of_lt (p : AlgebraProjection M) {m n : ℕ} (hmn : m < n) :
τ.trace (dyadicRademacher τ hdiff p m*dyadicRademacher τ hdiff p n)=0 := by
obtain ⟨c,hc⟩ := dyadicEval_lift τ hdiff p (Nat.succ_le_iff.mpr hmn) (dyadicSign m)
change τ.trace (dyadicEval τ hdiff p (m+1) (dyadicSign m)*_)=0
rw [hc]
exact dyadicRademacher_centered_over_previous τ hdiff p n c
theorem dyadicRademacher_trace_mul_of_ne (p : AlgebraProjection M) {m n : ℕ} (hmn : m ≠ n) :
τ.trace (dyadicRademacher τ hdiff p m*dyadicRademacher τ hdiff p n)=0 := by
rcases lt_or_gt_of_ne hmn with h | h
· exact dyadicRademacher_trace_mul_of_lt τ hdiff p h
· rw [τ.trace_mul_comm]
exact dyadicRademacher_trace_mul_of_lt τ hdiff p h
theorem coordinate_inner_eq_trace (a b : M.toStarSubalgebra) :
inner ℂ ((a : H →L[ℂ] H) τ.vector) ((b : H →L[ℂ] H) τ.vector)=τ.trace (star a*b) := by
change _ = inner ℂ τ.vector (star (a : H →L[ℂ] H) ((b : H →L[ℂ] H) τ.vector))
rw [ContinuousLinearMap.star_eq_adjoint,ContinuousLinearMap.adjoint_inner_right]
theorem dyadicRademacher_norm₂ (p : AlgebraProjection M) (n : ℕ) :
τ.norm₂ (dyadicRademacher τ hdiff p n)=τ.norm₂ p.val := by
have he := (dyadicCornerUnitary τ hdiff p n).trace_norm_sq τ
rw [projection_trace_sq τ p.val p.property] at he
change τ.norm₂ (dyadicRademacher τ hdiff p n)^2=τ.norm₂ p.val^2 at he
have h₁ : 0 ≤ τ.norm₂ (dyadicRademacher τ hdiff p n) := norm_nonneg _
have h₂ : 0 ≤ τ.norm₂ p.val := norm_nonneg _
nlinarith
end
/-! Popa 1308.3982v3, §1.5, scalar-target specialization. The sequence is
constructed from actual dyadic trace cuts in each nonzero corner; neither
nonintertwining nor Haar existence is an assumption. -/
open Filter
open scoped Topology
open UltrapowerBridge
variable {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]
variable {M : VonNeumannAlgebra H}
omit [CompleteSpace H] in
/-- Bessel's inequality makes the coefficients of an orthonormal sequence vanish. -/
theorem orthonormal_inner_tendsto_zero (v : ℕ → H) (hv : Orthonormal ℂ v) (x : H) :
Tendsto (fun n => inner ℂ x (v n)) atTop (𝓝 0) := by
have ht := (hv.inner_products_summable x).tendsto_atTop_zero
have hh : Tendsto (fun n => inner ℂ (v n) x) atTop (𝓝 0) := by
apply Metric.tendsto_atTop.mpr
intro ε hε
have he := ht (Iio_mem_nhds (sq_pos_of_pos hε))
obtain ⟨N,hN⟩ := eventually_atTop.mp he
refine ⟨N,fun n hn => ?_⟩
rw [dist_zero_right]
have h : ‖inner ℂ (v n) x‖^2 < ε^2 := hN n hn
nlinarith [norm_nonneg (inner ℂ (v n) x)]
have hs := hh.star
simp only [star_zero] at hs
change Tendsto (fun n => (starRingEnd ℂ) (inner ℂ (v n) x)) atTop (𝓝 0) at hs
simpa only [inner_conj_symm] using hs
variable (τ : TracialRepresentation M)
variable (hdiff : ∀ p : M.toStarSubalgebra, IsStarProjection p → p ≠ 0 →
∃ q : M.toStarSubalgebra, IsStarProjection q ∧ q ≠ 0 ∧ q ≠ p ∧ p*q = q ∧ q*p = q)
theorem dyadicRademacher_weak_trace_zero (p : AlgebraProjection M) (hp : p.val ≠ 0) (x : H) :
Tendsto (fun n => inner ℂ x ((dyadicRademacher τ hdiff p n : H →L[ℂ] H) τ.vector))
atTop (𝓝 0) := by
let s : ℝ := τ.norm₂ p.val
have hs : 0 < s := lt_of_le_of_ne (norm_nonneg _) (fun h => hp ((τ.norm₂_eq_zero_iff p.val).mp h.symm))
have hsC : (s : ℂ) ≠ 0 := Complex.ofReal_ne_zero.mpr hs.ne'
let v : ℕ → H := fun n => (s : ℂ)⁻¹ • ((dyadicRademacher τ hdiff p n : H →L[ℂ] H) τ.vector)
have hv : Orthonormal ℂ v := by
constructor
· intro n
change ‖(s : ℂ)⁻¹ • ((dyadicRademacher τ hdiff p n : H →L[ℂ] H) τ.vector)‖=1
rw [norm_smul,norm_inv,Complex.norm_real,Real.norm_of_nonneg hs.le]
change s⁻¹*τ.norm₂ (dyadicRademacher τ hdiff p n)=1
rw [dyadicRademacher_norm₂]
exact inv_mul_cancel₀ hs.ne'
· intro m n hmn
dsimp [v]
rw [inner_smul_left,inner_smul_right,coordinate_inner_eq_trace,
dyadicRademacher_star,dyadicRademacher_trace_mul_of_ne τ hdiff p hmn,mul_zero,mul_zero]
have ht := (orthonormal_inner_tendsto_zero v hv x).const_mul (s : ℂ)
simp only [mul_zero] at ht
apply ht.congr
intro n
dsimp [v]
rw [inner_smul_right,← mul_assoc,mul_inv_cancel₀ hsC,one_mul]
theorem dyadicRademacher_mixed_trace_zero (p : AlgebraProjection M) (hp : p.val ≠ 0)
(x y : M.toStarSubalgebra) :
Tendsto (fun n => τ.trace (x*dyadicRademacher τ hdiff p n*y)) atTop (𝓝 0) := by
have ht := dyadicRademacher_weak_trace_zero τ hdiff p hp
(((star (y*x) : M.toStarSubalgebra) : H →L[ℂ] H) τ.vector)
apply ht.congr
intro n
rw [coordinate_inner_eq_trace,star_star,τ.trace_mul_comm (x*dyadicRademacher τ hdiff p n) y,← mul_assoc]
/-- The same sequence has vanishing ambient mixed traces, even when the
coefficients belong to M and the partial unitaries belong to P. -/
theorem inclusion_corner_mixed_trace_zero {P : VonNeumannAlgebra H} (hPM : P ≤ M)
(hdiffP : ∀ p : P.toStarSubalgebra, IsStarProjection p → p ≠ 0 →
∃ q : P.toStarSubalgebra, IsStarProjection q ∧ q ≠ 0 ∧ q ≠ p ∧ p*q = q ∧ q*p = q)
(p : AlgebraProjection P) (hp : p.val ≠ 0) (x y : M.toStarSubalgebra) :
Tendsto (fun n => τ.trace (x*coordinateInclusion hPM
(dyadicCornerUnitary (restrictedTrace τ hPM) hdiffP p n).val*y)) atTop (𝓝 0) := by
have ht := dyadicRademacher_weak_trace_zero (restrictedTrace τ hPM) hdiffP p hp
(((star (y*x) : M.toStarSubalgebra) : H →L[ℂ] H) τ.vector)
apply ht.congr
intro n
change inner ℂ (((star (y*x) : M.toStarSubalgebra) : H →L[ℂ] H) τ.vector)
((coordinateInclusion hPM (dyadicCornerUnitary (restrictedTrace τ hPM) hdiffP p n).val : H →L[ℂ] H) τ.vector)=_
rw [coordinate_inner_eq_trace,star_star,τ.trace_mul_comm (x*_) y,← mul_assoc]
/-- Actual simultaneous scalar nonintertwining choices in every nonzero
corner, with arbitrary finite sets of ambient left and right coefficients. -/
theorem exists_cornerUnitary_small_mixed_traces {P : VonNeumannAlgebra H} (hPM : P ≤ M)
(hdiffP : ∀ p : P.toStarSubalgebra, IsStarProjection p → p ≠ 0 →
∃ q : P.toStarSubalgebra, IsStarProjection q ∧ q ≠ 0 ∧ q ≠ p ∧ p*q = q ∧ q*p = q)
(p : AlgebraProjection P) (hp : p.val ≠ 0)
(F G : Finset M.toStarSubalgebra) (ε : ℝ) (hε : 0 < ε) :
∃ v : CornerUnitary p, ∀ x ∈ F, ∀ y ∈ G,
‖τ.trace (x*coordinateInclusion hPM v.val*y)‖ < ε := by
have he : ∀ᶠ n : ℕ in atTop, ∀ x ∈ F, ∀ y ∈ G,
‖τ.trace (x*coordinateInclusion hPM
(dyadicCornerUnitary (restrictedTrace τ hPM) hdiffP p n).val*y)‖ < ε := by
rw [eventually_all_finset]
intro x hx
rw [eventually_all_finset]
intro y hy
have ht := (inclusion_corner_mixed_trace_zero τ hPM hdiffP p hp x y).norm
simp only [norm_zero] at ht
exact ht (Iio_mem_nhds hε)
obtain ⟨n,hn⟩ := he.exists
exact ⟨dyadicCornerUnitary (restrictedTrace τ hPM) hdiffP p n,hn⟩
end Generator.Tracial
end
end OAI