import Mathlib import OAI.Analysis.Commutator.HilbertSequence import OAI.Analysis.Commutator.UltrafilterDiagonal namespace OAI noncomputable section section noncomputable section open scoped Topology InnerProductSpace BoundedContinuousFunction open Filter UniformSpace Completion namespace Kadison.HilbertSequence variable {A H : Type*} [NormedAddCommGroup A] [NormedSpace ℂ A] [NormedAddCommGroup H] [InnerProductSpace ℂ H] variable (ω : Ultrafilter ℕ) (v : A →L[ℂ] H) def mapPre (a : ℕ →ᵇ A) : Pre ω H := ⟨BoundedContinuousFunction.comp v v.lipschitzWith a⟩ def mapVector (a : ℕ →ᵇ A) : Space ω H := (mapPre ω v a : Space ω H) omit [InnerProductSpace ℂ H] in @[simp] lemma seq_sub' (a b : Pre ω H) (i : ℕ) : (a-b).seq i=a.seq i-b.seq i := rfl lemma norm_map_difference_tendsto (a b : ℕ →ᵇ A) : Tendsto (fun i => ‖v (a i)-v (b i)‖) (ω : Filter ℕ) (𝓝 ‖mapVector ω v a-mapVector ω v b‖) := by simpa only [mapVector,←Completion.coe_sub,Completion.norm_coe,seq_sub',mapPre,BoundedContinuousFunction.comp_apply] using tendsto_norm ω H (mapPre ω v a-mapPre ω v b) theorem bounded_image_isClosed (hω : (ω : Filter ℕ)≤atTop) (K : Set A) (C : ℝ) (hK : ∀ a∈K, ‖a‖≤C) : IsClosed {x : Space ω H | ∃ a : ℕ →ᵇ A, (∀ i, a i∈K) ∧ mapVector ω v a=x} := by classical apply isClosed_of_closure_subset intro x hx let ε (n : ℕ) : ℝ := (1/2:ℝ)^n have hε (n : ℕ) : 0<ε n := pow_pos (by norm_num) n have hanti {j k : ℕ} (hjk : j≤k) : ε k≤ε j := pow_le_pow_of_le_one (by norm_num) (by norm_num) hjk have hn (n : ℕ) : ∃ a : ℕ →ᵇ A, (∀ i, a i∈K) ∧ ‖mapVector ω v a-x‖<ε n := by obtain ⟨y,⟨a,ha,rfl⟩,hy⟩ := Metric.mem_closure_iff.mp hx (ε n) (hε n) exact ⟨a,ha,by simpa only [dist_eq_norm,norm_sub_rev] using hy⟩ choose f hf he using hn have hpair (j k : ℕ) (hjk : j≤k) : ∀ᶠ i in (ω : Filter ℕ), ‖v (f j i)-v (f k i)‖≤3*ε j := by have hlt : ‖mapVector ω v (f j)-mapVector ω v (f k)‖<3*ε j := by have h := norm_sub_le_norm_sub_add_norm_sub (mapVector ω v (f j)) x (mapVector ω v (f k)) rw [norm_sub_rev x] at h have hj := he j have hk := he k have hk' := hanti hjk have hp := hε j linarith exact (norm_map_difference_tendsto ω v (f j) (f k)).eventually (gt_mem_nhds hlt) |>.mono (fun _ hi => le_of_lt hi) let p (n i : ℕ) : Prop := ∀ j≤n, ∀ k≤n, j≤k → ‖v (f j i)-v (f k i)‖≤3*ε j have hp (n : ℕ) : ∀ᶠ i in (ω : Filter ℕ), p n i := by have hh : ∀ᶠ i in (ω : Filter ℕ), ∀ j∈Finset.range (n+1), ∀ k∈Finset.range (n+1), j≤k → ‖v (f j i)-v (f k i)‖≤3*ε j := by apply (eventually_all_finset (Finset.range (n+1))).mpr intro j _ apply (eventually_all_finset (Finset.range (n+1))).mpr intro k _ by_cases hjk : j≤k · exact (hpair j k hjk).mono (fun _ hi _ => hi) · exact Eventually.of_forall (fun _ hi => (hjk hi).elim) filter_upwards [hh] with i hi intro j hj k hk hjk exact hi j (Finset.mem_range.mpr (by omega)) k (Finset.mem_range.mpr (by omega)) hjk obtain ⟨d,hd,hreq⟩ := UltrafilterDiagonal.depth hω p hp let a : ℕ →ᵇ A := BoundedContinuousFunction.mkOfDiscrete (fun i => f (d i/2) i) (2*C) (fun i j => (dist_le_norm_add_norm _ _).trans (by have hi := hK _ (hf (d i/2) i) have hj := hK _ (hf (d j/2) j) linarith)) have ha (i : ℕ) : a i∈K := hf (d i/2) i have hnorm (j : ℕ) : ‖mapVector ω v a-mapVector ω v (f j)‖≤3*ε j := by apply le_of_tendsto (norm_map_difference_tendsto ω v a (f j)) filter_upwards [hd.eventually (eventually_ge_atTop (2*j+2))] with i hi have hleft : j≤d i/2 := by omega have hright : d i/2 4*ε j) atTop (𝓝 (0:ℝ)) := by simpa only [mul_zero] using (tendsto_const_nhds.mul (tendsto_pow_atTop_nhds_zero_of_lt_one (by norm_num : (0:ℝ)≤1/2) (by norm_num : (1/2:ℝ)<1))) have hz : ‖mapVector ω v a-x‖≤0 := ge_of_tendsto hlim (Eventually.of_forall hnorm') exact ⟨a,ha,sub_eq_zero.mp (norm_le_zero_iff.mp hz)⟩ end Kadison.HilbertSequence end end end end OAI