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import OAI.Analysis.DiamondDistortion.Stretch
namespace OAI
universe u v
noncomputable section
open scoped BigOperators Classical Topology
open Set
namespace DiamondDistortion
namespace Midpoint
section
variable {X Y ι : Type*} [NormedAddCommGroup X] [NormedSpace ℝ X]
[NormedAddCommGroup Y] [NormedSpace ℝ Y]
/-- An actual family of allowed finite-rank coordinate heads. Approximation is
by a vector fixed by a head; no uniform bound on projection norms is imposed. -/
structure Heads (ι : Type*) (X : Type*) [NormedAddCommGroup X] [NormedSpace ℝ X] where
projection : ι → X →L[ℝ] X
idempotent : ∀ H x,projection H (projection H x)=projection H x
finite : ∀ H,FiniteDimensional ℝ (LinearMap.range (projection H).toLinearMap)
approximation : ∀ (x : X) (η : ℝ),0 < η →
∃ (H : ι) (p : X),projection H p=p ∧ ‖x-p‖ < η
/-- Image compactness, with a finite-dimensional target and no assumption that
a supremum over a sequence is attained. -/
lemma finite_dimensional_pair [FiniteDimensional ℝ Y] (P : X →L[ℝ] Y)
(z : ℕ → X) {R η : ℝ} (hz : ∀ i,‖z i‖ ≤ R) (hη : 0 < η) :
∃ i j : ℕ,i ≠ j ∧ ‖P ((1/2:ℝ) • (z i-z j))‖ < η := by
have hZ (i : ℕ) : P (z i) ∈ Metric.closedBall (0 : Y) (‖P‖*R) := by
rw [Metric.mem_closedBall,dist_zero_right]
exact (P.le_opNorm _).trans (mul_le_mul_of_nonneg_left (hz i) (norm_nonneg _))
obtain ⟨a,_,φ,hφ,hconv⟩ := tendsto_subseq_of_bounded Metric.isBounded_closedBall hZ
obtain ⟨N,hN⟩ := Metric.cauchySeq_iff.mp hconv.cauchySeq (2*η) (by positivity)
have hd := hN N le_rfl (N+1) (by omega)
change dist (P (z (φ N))) (P (z (φ (N+1)))) < 2*η at hd
rw [dist_eq_norm] at hd
refine ⟨φ N,φ (N+1),hφ.injective.ne (by omega),?_⟩
rw [map_smul,norm_smul,map_sub,Real.norm_eq_abs,abs_of_pos (by norm_num : (0:ℝ)<1/2)]
linarith
lemma finite_rank_pair (P : X →L[ℝ] X)
[FiniteDimensional ℝ (LinearMap.range P.toLinearMap)]
(z : ℕ → X) {R η : ℝ} (hz : ∀ i,‖z i‖ ≤ R) (hη : 0 < η) :
∃ i j : ℕ,i ≠ j ∧ ‖P ((1/2:ℝ) • (z i-z j))‖ < η := by
let Q : X →L[ℝ] (LinearMap.range P.toLinearMap) :=
P.codRestrict _ (fun x => ⟨x,rfl⟩)
exact finite_dimensional_pair Q z hz hη
lemma average_lens {x : X} (z : ℕ → X) {R : ℝ}
(hp : ∀ i,‖x+z i‖ ≤ R) (hm : ∀ i,‖x-z i‖ ≤ R) (i j : ℕ) :
‖x+(1/2:ℝ) • (z i-z j)‖ ≤ R ∧ ‖x-(1/2:ℝ) • (z i-z j)‖ ≤ R := by
have he1 : x+(1/2:ℝ) • (z i-z j)=(1/2:ℝ) • ((x+z i)+(x-z j)) := by module
have he2 : x-(1/2:ℝ) • (z i-z j)=(1/2:ℝ) • ((x-z i)+(x+z j)) := by module
constructor
· rw [he1,norm_smul,Real.norm_eq_abs]
norm_num
have h := (norm_add_le (x+z i) (x-z j)).trans (add_le_add (hp i) (hm j))
linarith
· rw [he2,norm_smul,Real.norm_eq_abs]
norm_num
have h := (norm_add_le (x-z i) (x+z j)).trans (add_le_add (hm i) (hp j))
linarith
lemma pair_errors (P : X →L[ℝ] X)
[FiniteDimensional ℝ (LinearMap.range P.toLinearMap)]
{x p : X} (z : ℕ → X) {R ε η : ℝ} (hη : 0 < η)
(hclose : ‖x-p‖ < η) (hp : ∀ i,‖x+z i‖ ≤ R) (hm : ∀ i,‖x-z i‖ ≤ R)
(hs : ∀ i j,i ≠ j → ε ≤ ‖z i-z j‖) :
∃ i j : ℕ,i ≠ j ∧
let w := (1/2:ℝ) • (z i-z j)
let y := w-P w
‖P w‖ < η ∧ ε/2-η ≤ ‖y‖ ∧ ‖x‖-η ≤ ‖p‖ ∧
‖p+y‖ ≤ R+2*η ∧ ‖p-y‖ ≤ R+2*η ∧ ‖x+w‖ ≤ R ∧ ‖x-w‖ ≤ R := by
obtain ⟨i,j,hij,hP⟩ := finite_rank_pair P z
(fun i => Diamond.norm_deviation_le (hp i) (hm i)) hη
let w := (1/2:ℝ) • (z i-z j)
have hw : ε/2 ≤ ‖w‖ := by
dsimp [w]
rw [norm_smul,Real.norm_eq_abs,abs_of_pos (by norm_num : (0:ℝ)<1/2)]
linarith [hs i j hij]
have hy : ε/2-η ≤ ‖w-P w‖ := by
have h := norm_sub_norm_le w (P w)
linarith
have hpn : ‖x‖-η ≤ ‖p‖ := by linarith [norm_sub_norm_le x p]
obtain ⟨ha,hb⟩ := average_lens z hp hm i j
have hpp : ‖p+(w-P w)‖ ≤ R+2*η := by
have he : p+(w-P w)=(x+w)-(x-p)-P w := by module
rw [he]
have h := (norm_sub_le ((x+w)-(x-p)) (P w)).trans
(add_le_add (norm_sub_le (x+w) (x-p)) le_rfl)
linarith
have hpm : ‖p-(w-P w)‖ ≤ R+2*η := by
have he : p-(w-P w)=(x-w)-(x-p)+P w := by module
rw [he]
have h := (norm_add_le ((x-w)-(x-p)) (P w)).trans
(add_le_add (norm_sub_le (x-w) (x-p)) le_rfl)
linarith
exact ⟨i,j,hij,hP,hy,hpn,hpp,hpm,ha,hb⟩
/-- The quotient version chooses an actual nearby subspace vector, not just a
formal quotient with small norm. Closedness and true finite codimension are explicit. -/
lemma quotient_pair (F : Submodule ℝ X) [IsClosed (F : Set X)]
[FiniteDimensional ℝ (X ⧸ F)] (z : ℕ → X) {R η : ℝ}
(hz : ∀ i,‖z i‖ ≤ R) (hη : 0 < η) :
∃ (i j : ℕ) (v : X),i ≠ j ∧ v ∈ F ∧ ‖(1/2:ℝ) • (z i-z j)-v‖ < η := by
obtain ⟨i,j,hij,hq⟩ := finite_dimensional_pair F.mkQL z hz (half_pos hη)
let w := (1/2:ℝ) • (z i-z j)
obtain ⟨m,hm,hn⟩ := Submodule.Quotient.norm_mk_lt (F.mkQL w) (half_pos hη)
refine ⟨i,j,w-m,hij,?_,?_⟩
· apply (Submodule.Quotient.mk_eq_zero F).mp
change F.mkQ (w-m)=0
rw [map_sub]
change F.mkQL w-Submodule.Quotient.mk m=0
rw [hm,sub_self]
· rw [sub_sub_cancel]
linarith
end
section
variable {X ι : Type*} [NormedAddCommGroup X] [NormedSpace ℝ X]
lemma positive_limit_le (f g : ℝ → ℝ) (hf : ContinuousAt f 0) (hg : ContinuousAt g 0)
(h : ∀ η,0 < η → f η ≤ g η) : f 0 ≤ g 0 := by
have ht : Filter.Tendsto (fun n : ℕ => 1/((n:ℝ)+1)) Filter.atTop (𝓝 0) :=
tendsto_one_div_add_atTop_nhds_zero_nat
exact le_of_tendsto_of_tendsto (hf.tendsto.comp ht) (hg.tendsto.comp ht)
(Filter.Eventually.of_forall (fun n => h _ (by positivity)))
lemma Heads.pure_pair (A : Heads ι X) {x : X} (z : ℕ → X) {R ε η : ℝ} (hη : 0 < η)
(hp : ∀ i,‖x+z i‖ ≤ R) (hm : ∀ i,‖x-z i‖ ≤ R)
(hs : ∀ i j,i ≠ j → ε ≤ ‖z i-z j‖) :
∃ (H : ι) (p y : X),A.projection H p=p ∧ A.projection H y=0 ∧
‖x‖-η ≤ ‖p‖ ∧ ε/2-η ≤ ‖y‖ ∧ ‖p+y‖ ≤ R+2*η ∧ ‖p-y‖ ≤ R+2*η := by
obtain ⟨H,p,hP,hclose⟩ := A.approximation x η hη
let := A.finite H
obtain ⟨i,j,_,hpair⟩ := pair_errors (A.projection H) z hη hclose hp hm hs
refine ⟨H,p,(1/2:ℝ) • (z i-z j)-A.projection H ((1/2:ℝ) • (z i-z j)),hP,?_,
hpair.2.2.1,hpair.2.1,hpair.2.2.2.1,hpair.2.2.2.2.1⟩
rw [map_sub,A.idempotent,sub_self]
def Heads.SquareInput (A : Heads ι X) (a : ℝ) : Prop :=
∀ (H : ι) (p y : X) (R : ℝ),A.projection H p=p → A.projection H y=0 →
0 ≤ R → ‖p+y‖ ≤ R → ‖p-y‖ ≤ R → ‖p‖^2+a*‖y‖^2 ≤ R^2
def Heads.RadialInput (A : Heads ι X) (C : ℝ) : Prop :=
∀ (H : ι) (p y : X) (R : ℝ),A.projection H p=p → A.projection H y=0 →
0 ≤ R → ‖p+y‖ ≤ R → ‖p-y‖ ≤ R → ‖y‖^2 ≤ C^2*R*(R-‖p‖)
theorem Heads.square_lens (A : Heads ι X) {a : ℝ} (ha : 0 < a) (hinput : A.SquareInput a) :
Diamond.SquareLens X (a/4) := by
intro x z R ε hR hε hp hm hs
have hh := positive_limit_le
(fun η => (max (‖x‖-η) 0)^2+a*(max (ε/2-η) 0)^2)
(fun η => (R+2*η)^2) (by fun_prop) (by fun_prop) (fun η hη => by
obtain ⟨H,p,y,hP,hY,hpL,hyL,hpR,hmR⟩ := A.pure_pair z hη hp hm hs
have h := hinput H p y (R+2*η) hP hY (by positivity) hpR hmR
have hp' : max (‖x‖-η) 0 ≤ ‖p‖ := max_le hpL (norm_nonneg _)
have hy' : max (ε/2-η) 0 ≤ ‖y‖ := max_le hyL (norm_nonneg _)
have hp2 := (sq_le_sq₀ (le_max_right _ _) (norm_nonneg _)).mpr hp'
have hy2 := mul_le_mul_of_nonneg_left
((sq_le_sq₀ (le_max_right _ _) (norm_nonneg _)).mpr hy') ha.le
linarith)
simp only [sub_zero,mul_zero,add_zero,max_eq_left (norm_nonneg x),
max_eq_left (half_pos hε).le] at hh
nlinarith only [hh]
theorem Heads.radial_lens (A : Heads ι X) {C : ℝ} (hC : 0 < C) (hinput : A.RadialInput C) :
Diamond.RadialLens X C := by
intro x z R ε hR hε hp hm hs
have hh := positive_limit_le
(fun η => (max (ε/2-η) 0)^2)
(fun η => C^2*(R+2*η)*(R+3*η-‖x‖)) (by fun_prop) (by fun_prop) (fun η hη => by
obtain ⟨H,p,y,hP,hY,hpL,hyL,hpR,hmR⟩ := A.pure_pair z hη hp hm hs
have h := hinput H p y (R+2*η) hP hY (by positivity) hpR hmR
have hy' : max (ε/2-η) 0 ≤ ‖y‖ := max_le hyL (norm_nonneg _)
have hy2 := (sq_le_sq₀ (le_max_right _ _) (norm_nonneg _)).mpr hy'
have hmul := mul_le_mul_of_nonneg_left
(show R+2*η-‖p‖ ≤ R+3*η-‖x‖ by linarith)
(show 0 ≤ C^2*(R+2*η) by positivity)
exact hy2.trans (h.trans hmul))
simp only [sub_zero,mul_zero,add_zero,max_eq_left (half_pos hε).le] at hh
nlinarith only [hh]
def Heads.ParametricInput (A : Heads ι X) (a b : ℝ) : Prop :=
∀ (H : ι) (p y : X) (lam : ℝ),A.projection H p=p → A.projection H y=0 → 0 < lam →
(‖p‖+a*lam*‖y‖)/Real.sqrt (1+b*lam^2) ≤ max ‖p+y‖ ‖p-y‖
theorem Heads.parametric_lens (A : Heads ι X) {a b lam : ℝ}
(ha : 0 < a) (hb : 0 < b) (hlam : 0 < lam) (hinput : A.ParametricInput a b)
{x : X} (z : ℕ → X) {R ε : ℝ}
(hp : ∀ i,‖x+z i‖ ≤ R) (hm : ∀ i,‖x-z i‖ ≤ R)
(hs : ∀ i j,i ≠ j → ε ≤ ‖z i-z j‖) :
‖x‖+a*lam*(ε/2) ≤ Real.sqrt (1+b*lam^2)*R := by
let Q := Real.sqrt (1+b*lam^2)
have hQ : 0 < Q := Real.sqrt_pos.mpr (by positivity)
have hh := positive_limit_le (fun _ => ‖x‖+a*lam*(ε/2))
(fun η => Q*(R+2*η)+(1+a*lam)*η) (by fun_prop) (by fun_prop) (fun η hη => by
obtain ⟨H,p,y,hP,hY,hpL,hyL,hpR,hmR⟩ := A.pure_pair z hη hp hm hs
have h := (hinput H p y lam hP hY hlam).trans (max_le hpR hmR)
have h' : ‖p‖+a*lam*‖y‖ ≤ (R+2*η)*Q := (div_le_iff₀ hQ).mp h
have hs := mul_le_mul_of_nonneg_left hyL (show 0 ≤ a*lam by positivity)
nlinarith only [h',hs,hpL])
simpa only [mul_zero,add_zero] using hh
end
variable {X : Type*} [NormedAddCommGroup X] [NormedSpace ℝ X]
def QuotientGain (X : Type*) [NormedAddCommGroup X] [NormedSpace ℝ X] (t g : ℝ) : Prop :=
∀ u : X,‖u‖=1 → ∃ F : Submodule ℝ X,IsClosed (F : Set X) ∧
FiniteDimensional ℝ (X ⧸ F) ∧
∀ y : X,y ∈ F → t ≤ ‖y‖ → 1+g ≤ max ‖u+y‖ ‖u-y‖
lemma quotient_parent_full_gain {t g D L : ℝ} (ht : 0 < t) (hg : 0 < g)
(hD : 1 ≤ D) (htD : t ≤ 1/(2*D)) (hX : QuotientGain X t g)
{x : X} (z : ℕ → X) (hx : 1 ≤ ‖x‖) (hxD : ‖x‖ ≤ D)
(hp : ∀ i,‖x+z i‖ ≤ L) (hm : ∀ i,‖x-z i‖ ≤ L)
(hs : ∀ i j,i ≠ j → 2 ≤ ‖z i-z j‖) : ‖x‖ ≤ L/(1+g) := by
let r := ‖x‖
have hr : 0 < r := by dsimp [r]; linarith
have hunit : ‖r⁻¹ • x‖=1 := by
rw [norm_smul,Real.norm_of_nonneg (inv_nonneg.mpr hr.le),inv_mul_cancel₀ hr.ne']
obtain ⟨F,hclosed,hfinite,hF⟩ := hX (r⁻¹ • x) hunit
let := hclosed
let := hfinite
have hfull : r*(1+g) ≤ L := by
apply le_of_forall_pos_le_add
intro η hη
let δ := min (1/2:ℝ) η
have hδ : 0 < δ := lt_min (by norm_num) hη
obtain ⟨i,j,v,hij,hvF,hclose⟩ := quotient_pair F z
(fun i => Diamond.norm_deviation_le (hp i) (hm i)) hδ
let w := (1/2:ℝ) • (z i-z j)
have hw : 1 ≤ ‖w‖ := by
dsimp [w]
rw [norm_smul,Real.norm_eq_abs,abs_of_pos (by norm_num : (0:ℝ)<1/2)]
linarith [hs i j hij]
have hv : (1/2:ℝ) ≤ ‖v‖ := by
have h := norm_sub_norm_le w v
have hδhalf : δ ≤ 1/2 := min_le_left _ _
linarith
have htr : t*r ≤ 1/2 := by
have htd : t*(2*D) ≤ 1 := (le_div_iff₀ (by linarith : 0 < 2*D)).mp htD
have hmul := mul_le_mul_of_nonneg_left hxD ht.le
change t*r ≤ t*D at hmul
nlinarith
have htv : t ≤ ‖r⁻¹ • v‖ := by
rw [norm_smul,Real.norm_of_nonneg (inv_nonneg.mpr hr.le)]
calc
t = r⁻¹*(t*r) := by field_simp
_ ≤ _ := mul_le_mul_of_nonneg_left (htr.trans hv) (inv_nonneg.mpr hr.le)
obtain ⟨hwp,hwm⟩ := average_lens z hp hm i j
have hδη : δ ≤ η := min_le_right _ _
have hplus : ‖x+v‖ ≤ L+η := by
have he : x+v=(x+w)-(w-v) := by module
rw [he]
exact (norm_sub_le _ _).trans (by linarith)
have hminus : ‖x-v‖ ≤ L+η := by
have he : x-v=(x-w)+(w-v) := by module
rw [he]
exact (norm_add_le _ _).trans (by linarith)
have hgain := hF (r⁻¹ • v) (F.smul_mem _ hvF) htv
have hupper : max ‖r⁻¹ • x+r⁻¹ • v‖ ‖r⁻¹ • x-r⁻¹ • v‖ ≤ r⁻¹*(L+η) := by
apply max_le
· rw [← smul_add,norm_smul,Real.norm_of_nonneg (inv_nonneg.mpr hr.le)]
exact mul_le_mul_of_nonneg_left hplus (inv_nonneg.mpr hr.le)
· rw [← smul_sub,norm_smul,Real.norm_of_nonneg (inv_nonneg.mpr hr.le)]
exact mul_le_mul_of_nonneg_left hminus (inv_nonneg.mpr hr.le)
have h := mul_le_mul_of_nonneg_left (hgain.trans hupper) hr.le
rwa [← mul_assoc,mul_inv_cancel₀ hr.ne',one_mul] at h
exact (le_div_iff₀ (by positivity : 0 < 1+g)).mpr hfull
/-- Approximate actual-child selection: the supremal full gain implies a
strictly larger actual child at the half-gain threshold, never a maximum. -/
lemma quotient_actual_child {t g D : ℝ} (ht : 0 < t) (hg : 0 < g)
(hD : 1 ≤ D) (htD : t ≤ 1/(2*D)) (hX : QuotientGain X t g)
{x : X} (z : ℕ → X) (hx : 1 ≤ ‖x‖) (hxD : ‖x‖ ≤ D)
(hs : ∀ i j,i ≠ j → 2 ≤ ‖z i-z j‖) :
∃ i,‖x‖*(1+g/2) < max ‖x+z i‖ ‖x-z i‖ := by
by_contra! hn
have hp : ∀ i,‖x+z i‖ ≤ ‖x‖*(1+g/2) := fun i => (le_max_left _ _).trans (hn i)
have hm : ∀ i,‖x-z i‖ ≤ ‖x‖*(1+g/2) := fun i => (le_max_right _ _).trans (hn i)
have h := quotient_parent_full_gain ht hg hD htD hX z hx hxD hp hm hs
have h' := (le_div_iff₀ (by positivity : 0 < 1+g)).mp h
nlinarith [mul_pos (show 0 < ‖x‖ by linarith) hg]
end Midpoint
end DiamondDistortion
end
end OAI