import OAI.Analysis.DiamondDistortion.DiamondGraph namespace OAI universe u v noncomputable section open scoped BigOperators Classical Topology open Set namespace DiamondDistortion namespace Diamond variable {X : Type*} [NormedAddCommGroup X] [NormedSpace ℝ X] lemma norm_center_le {x y : X} {R : ℝ} (hp : ‖x+y‖ ≤ R) (hm : ‖x-y‖ ≤ R) : ‖x‖ ≤ R := by have he : x=(1/2:ℝ) • ((x+y)+(x-y)) := by module calc ‖x‖ = (1/2:ℝ)*‖(x+y)+(x-y)‖ := by conv_lhs => rw [he] rw [norm_smul,Real.norm_eq_abs,abs_of_pos (by norm_num : (0:ℝ)<1/2)] _ ≤ (1/2:ℝ)*(‖x+y‖+‖x-y‖) := mul_le_mul_of_nonneg_left (norm_add_le _ _) (by norm_num) _ ≤ R := by linarith lemma norm_deviation_le {x y : X} {R : ℝ} (hp : ‖x+y‖ ≤ R) (hm : ‖x-y‖ ≤ R) : ‖y‖ ≤ R := norm_center_le (x := y) (y := x) (by simpa only [add_comm] using hp) (by simpa only [norm_sub_rev] using hm) lemma slope_lower {k : ℕ} (f : Vertex k → X) {s : ℝ} (hl : ∀ u v,s*distance k u v ≤ ‖f u-f v‖) (e : Edge k) : s ≤ ‖slope f e‖ := by have he := hl (endpoint k e false) (endpoint k e true) rw [distance_edge] at he rw [slope,norm_smul,Real.norm_eq_abs,abs_of_pos (by positivity : 0<(2:ℝ)^k),norm_sub_rev] calc s = (2:ℝ)^k*(s*(1/(2:ℝ)^k)) := by field_simp _ ≤ _ := mul_le_mul_of_nonneg_left he (by positivity) lemma slope_upper {k : ℕ} (f : Vertex k → X) {L : ℝ} (hu : ∀ u v,‖f u-f v‖ ≤ L*distance k u v) (e : Edge k) : ‖slope f e‖ ≤ L := by have he := hu (endpoint k e false) (endpoint k e true) rw [distance_edge] at he rw [slope,norm_smul,Real.norm_eq_abs,abs_of_pos (by positivity : 0<(2:ℝ)^k),norm_sub_rev] calc _ ≤ (2:ℝ)^k*(L*(1/(2:ℝ)^k)) := mul_le_mul_of_nonneg_left he (by positivity) _ = _ := by field_simp lemma old_lower {X : Type*} [NormedAddCommGroup X] [NormedSpace ℝ X] {k : ℕ} (f : Vertex (k+1) → X) {s : ℝ} (hl : ∀ u v,s*distance (k+1) u v ≤ ‖f u-f v‖) : ∀ u v,s*distance k u v ≤ ‖f (Sum.inl u)-f (Sum.inl v)‖ := by intro u v simpa only [distance_old] using hl (Sum.inl u) (Sum.inl v) /-- Abstract multiplicative backward iteration, retaining every all-pairs lower bound and making no assertion of an attained stage supremum. -/ lemma iterate_contraction {s D c : ℝ} (hc : 0 ≤ c) (hc1 : c ≤ 1) (hstep : ∀ (x : X) (z : ℕ → X) (R : ℝ),0 ≤ R → R ≤ D → s ≤ ‖x‖ → (∀ i,‖x+z i‖ ≤ R) → (∀ i,‖x-z i‖ ≤ R) → (∀ i j,i ≠ j → 2*s ≤ ‖z i-z j‖) → ‖x‖ ≤ c*R) (k : ℕ) (f : Vertex k → X) {L : ℝ} (hL : 0 ≤ L) (hLD : L ≤ D) (hl : ∀ u v,s*distance k u v ≤ ‖f u-f v‖) (hb : ∀ e,‖slope f e‖ ≤ L) : s ≤ c^k*L := by induction k generalizing L with | zero => simpa using (slope_lower f hl ()).trans (hb ()) | succ n ih => have hold : ∀ e,‖slope (fun v => f (Sum.inl v)) e‖ ≤ c*L := by intro e apply hstep _ (deviation f e) L hL hLD (slope_lower _ (old_lower f hl) e) · intro i simpa only [slope_plus_deviation] using hb (e,i,false) · intro i simpa only [slope_minus_deviation] using hb (e,i,true) · exact fun _ _ hij => deviation_separated f hl e hij have hcL : c*L ≤ D := (mul_le_of_le_one_left hL hc1).trans hLD have h := ih (fun v => f (Sum.inl v)) (mul_nonneg hc hL) hcL (old_lower f hl) hold simpa only [pow_succ,mul_assoc] using h /-- Abstract additive backward iteration. The existence of old edges ensures nonnegativity of each improved bound, including the last nonempty stage. -/ lemma iterate_additive {s D δ : ℝ} (hδ : 0 ≤ δ) (hstep : ∀ (x : X) (z : ℕ → X) (R : ℝ),0 ≤ R → R ≤ D → s ≤ ‖x‖ → (∀ i,‖x+z i‖ ≤ R) → (∀ i,‖x-z i‖ ≤ R) → (∀ i j,i ≠ j → 2*s ≤ ‖z i-z j‖) → ‖x‖ ≤ R-δ) (k : ℕ) (f : Vertex k → X) {L : ℝ} (hL : 0 ≤ L) (hLD : L ≤ D) (hl : ∀ u v,s*distance k u v ≤ ‖f u-f v‖) (hb : ∀ e,‖slope f e‖ ≤ L) : s+(k:ℝ)*δ ≤ L := by induction k generalizing L with | zero => simpa using (slope_lower f hl ()).trans (hb ()) | succ n ih => have hold : ∀ e,‖slope (fun v => f (Sum.inl v)) e‖ ≤ L-δ := by intro e apply hstep _ (deviation f e) L hL hLD (slope_lower _ (old_lower f hl) e) · intro i simpa only [slope_plus_deviation] using hb (e,i,false) · intro i simpa only [slope_minus_deviation] using hb (e,i,true) · exact fun _ _ hij => deviation_separated f hl e hij have hnew : 0 ≤ L-δ := (norm_nonneg _).trans (hold (baseEdge n)) have h := ih (fun v => f (Sum.inl v)) hnew (by linarith) (old_lower f hl) hold push_cast linarith def SquareLens (X : Type*) [NormedAddCommGroup X] (b : ℝ) : Prop := ∀ (x : X) (z : ℕ → X) (R ε : ℝ),0 ≤ R → 0 < ε → (∀ i,‖x+z i‖ ≤ R) → (∀ i,‖x-z i‖ ≤ R) → (∀ i j,i ≠ j → ε ≤ ‖z i-z j‖) → ‖x‖^2+b*ε^2 ≤ R^2 lemma squared_stretch_loss_general {b : ℝ} (hX : SquareLens X b) (k : ℕ) (f : Vertex k → X) {s B : ℝ} (hs : 0 < s) (hl : ∀ u v,s*distance k u v ≤ ‖f u-f v‖) (hb : ∀ e,‖slope f e‖^2 ≤ B) : s^2*(1+4*b*(k:ℝ)) ≤ B := by induction k generalizing B with | zero => have h := slope_lower f hl () have h0 := hb () norm_num nlinarith [sq_nonneg (s-‖slope f ()‖)] | succ n ih => have hB : 0 ≤ B := (sq_nonneg _).trans (hb (baseEdge (n+1))) have hold : ∀ e,‖slope (fun v => f (Sum.inl v)) e‖^2 ≤ B-4*b*s^2 := by intro e have hp : ∀ i,‖slope (fun v => f (Sum.inl v)) e+deviation f e i‖ ≤ Real.sqrt B := by intro i rw [slope_plus_deviation] exact (Real.le_sqrt (norm_nonneg _) hB).mpr (hb _) have hm : ∀ i,‖slope (fun v => f (Sum.inl v)) e-deviation f e i‖ ≤ Real.sqrt B := by intro i rw [slope_minus_deviation] exact (Real.le_sqrt (norm_nonneg _) hB).mpr (hb _) have h := hX (slope (fun v => f (Sum.inl v)) e) (deviation f e) (Real.sqrt B) (2*s) (Real.sqrt_nonneg _) (by positivity) hp hm (fun _ _ hij => deviation_separated f hl e hij) rw [Real.sq_sqrt hB] at h nlinarith have hind := ih (fun v => f (Sum.inl v)) (old_lower f hl) hold push_cast nlinarith only [hind] lemma squared_transfer {b : ℝ} (_hb : 0 < b) (hX : SquareLens X b) (k : ℕ) (f : Vertex k → X) (D s : ℝ) (h : HasDistortion k f D s) : 1+4*b*(k:ℝ) ≤ D^2 := by obtain ⟨hD,hs,h⟩ := h have hbound : ∀ e,‖slope f e‖^2 ≤ (D*s)^2 := by intro e have hh := slope_upper f (fun u v => (h u v).2) e exact (sq_le_sq₀ (norm_nonneg _) (mul_nonneg (by linarith) hs.le)).mpr hh have h' := squared_stretch_loss_general hX k f hs (fun u v => (h u v).1) hbound have hp : 0 < s^2 := sq_pos_of_pos hs have hmul : s^2*(1+4*b*(k:ℝ)) ≤ s^2*D^2 := by nlinarith only [h'] exact (mul_le_mul_iff_right₀ hp).mp hmul lemma normalized_distortion {k : ℕ} (f : Vertex k → X) {D s : ℝ} (h : HasDistortion k f D s) : HasDistortion k (fun v => s⁻¹ • f v) D 1 := by obtain ⟨hD,hs,h⟩ := h refine ⟨hD,by norm_num,?_⟩ intro u v rw [← smul_sub,norm_smul,Real.norm_of_nonneg (inv_nonneg.mpr hs.le)] have hl := mul_le_mul_of_nonneg_left (h u v).1 (inv_nonneg.mpr hs.le) have hu := mul_le_mul_of_nonneg_left (h u v).2 (inv_nonneg.mpr hs.le) have he : s⁻¹*(s*distance k u v)=distance k u v := by field_simp have he' : s⁻¹*(D*s*distance k u v)=D*distance k u v := by field_simp rw [he] at hl rw [he'] at hu simpa only [one_mul,mul_one] using And.intro hl hu lemma upper_one_normalization {k : ℕ} (f : Vertex k → X) {D s : ℝ} (h : HasDistortion k f D s) : ∀ u v,D⁻¹*distance k u v ≤ ‖(D*s)⁻¹ • f u-(D*s)⁻¹ • f v‖ ∧ ‖(D*s)⁻¹ • f u-(D*s)⁻¹ • f v‖ ≤ distance k u v := by obtain ⟨hD,hs,h⟩ := h have hD0 : 0 < D := by linarith have hDs : 0 < D*s := mul_pos hD0 hs intro u v rw [← smul_sub,norm_smul,Real.norm_of_nonneg (inv_nonneg.mpr hDs.le)] have hl := mul_le_mul_of_nonneg_left (h u v).1 (inv_nonneg.mpr hDs.le) have hu := mul_le_mul_of_nonneg_left (h u v).2 (inv_nonneg.mpr hDs.le) have he : (D*s)⁻¹*(s*distance k u v)=D⁻¹*distance k u v := by field_simp have he' : (D*s)⁻¹*(D*s*distance k u v)=distance k u v := by field_simp rw [he] at hl rw [he'] at hu exact ⟨hl,hu⟩ def RadialLens (X : Type*) [NormedAddCommGroup X] (C : ℝ) : Prop := ∀ (x : X) (z : ℕ → X) (R ε : ℝ),0 ≤ R → 0 < ε → (∀ i,‖x+z i‖ ≤ R) → (∀ i,‖x-z i‖ ≤ R) → (∀ i j,i ≠ j → ε ≤ ‖z i-z j‖) → ε^2/4 ≤ C^2*R*(R-‖x‖) theorem radial_transfer {C : ℝ} (hC : 0 < C) (hX : RadialLens X C) (k : ℕ) (f : Vertex k → X) (D s : ℝ) (hf : HasDistortion k f D s) : (k:ℝ) ≤ C^2*D*(D-1) := by obtain ⟨hD,_,h⟩ := normalized_distortion f hf have hD0 : 0 < D := by linarith have hP : 0 < C^2*D := mul_pos (sq_pos_of_pos hC) hD0 let δ : ℝ := 1/(C^2*D) have hδ : 0 ≤ δ := by dsimp [δ]; positivity have hstep : ∀ (x : X) (z : ℕ → X) (R : ℝ),0 ≤ R → R ≤ D → 1 ≤ ‖x‖ → (∀ i,‖x+z i‖ ≤ R) → (∀ i,‖x-z i‖ ≤ R) → (∀ i j,i ≠ j → 2*1 ≤ ‖z i-z j‖) → ‖x‖ ≤ R-δ := by intro x z R hR hRD hx hp hm hsep have he := hX x z R 2 hR (by norm_num) hp hm (by simpa using hsep) have hxr := norm_center_le (hp 0) (hm 0) have hmul := mul_le_mul_of_nonneg_right (mul_le_mul_of_nonneg_left hRD (sq_nonneg C)) (sub_nonneg.mpr hxr) have hh : 1 ≤ C^2*D*(R-‖x‖) := by norm_num at he; exact he.trans hmul have hh' : δ ≤ R-‖x‖ := (div_le_iff₀ hP).mpr (by nlinarith only [hh]) linarith have hi := iterate_additive hδ hstep k (fun v => s⁻¹ • f v) hD0.le le_rfl (fun u v => by simpa using (h u v).1) (fun e => slope_upper _ (fun u v => by simpa using (h u v).2) e) have hquot : (k:ℝ)/(C^2*D) ≤ D-1 := by dsimp [δ] at hi rw [mul_one_div] at hi linarith have hmul := (div_le_iff₀ hP).mp hquot nlinarith only [hmul] def UnitLensBound (X : Type*) [NormedAddCommGroup X] (ε ρ : ℝ) : Prop := ∀ (x : X) (z : ℕ → X), (∀ i,‖x+z i‖ ≤ 1) → (∀ i,‖x-z i‖ ≤ 1) → (∀ i j,i ≠ j → ε ≤ ‖z i-z j‖) → ‖x‖ ≤ ρ theorem backward {α ρ : ℝ} (hα : 0 < α) (_hα1 : α ≤ 1) (hρ : 0 ≤ ρ) (hρ1 : ρ < 1) (hX : UnitLensBound X (2*α) ρ) (k : ℕ) (f : Vertex k → X) (hl : ∀ u v,α*distance k u v ≤ ‖f u-f v‖) (hu : ∀ u v,‖f u-f v‖ ≤ distance k u v) : α ≤ ρ^k := by have hstep : ∀ (x : X) (z : ℕ → X) (R : ℝ),0 ≤ R → R ≤ 1 → α ≤ ‖x‖ → (∀ i,‖x+z i‖ ≤ R) → (∀ i,‖x-z i‖ ≤ R) → (∀ i j,i ≠ j → 2*α ≤ ‖z i-z j‖) → ‖x‖ ≤ ρ*R := by intro x z R hR hR1 hx hp hm hs have hxr := norm_center_le (hp 0) (hm 0) have hR0 : 0 < R := lt_of_lt_of_le hα (hx.trans hxr) have hscale (u : X) : ‖R⁻¹ • u‖=R⁻¹*‖u‖ := by rw [norm_smul,Real.norm_of_nonneg (inv_nonneg.mpr hR)] have hi : R⁻¹*R=1 := inv_mul_cancel₀ hR0.ne' have hinv : 1 ≤ R⁻¹ := by rw [← one_div] exact (le_div_iff₀ hR0).mpr (by simpa using hR1) have hb := hX (R⁻¹ • x) (fun i => R⁻¹ • z i) (fun i => by rw [← smul_add,hscale] exact (mul_le_mul_of_nonneg_left (hp i) (inv_nonneg.mpr hR)).trans hi.le) (fun i => by rw [← smul_sub,hscale] exact (mul_le_mul_of_nonneg_left (hm i) (inv_nonneg.mpr hR)).trans hi.le) (fun i j hij => by rw [← smul_sub,hscale] exact (le_mul_of_one_le_left (by positivity : 0 ≤ 2*α) hinv).trans (mul_le_mul_of_nonneg_left (hs i j hij) (inv_nonneg.mpr hR))) rw [hscale] at hb have hh := mul_le_mul_of_nonneg_left hb hR rw [← mul_assoc,mul_inv_cancel₀ hR0.ne',one_mul] at hh simpa only [mul_comm] using hh have h := iterate_contraction hρ hρ1.le hstep k f (by norm_num : (0:ℝ) ≤ 1) le_rfl hl (fun e => slope_upper f (fun u v => by simpa using hu u v) e) simpa only [mul_one] using h end Diamond end DiamondDistortion end end OAI