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Add lean source and binary files (part 12)
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import OAI.Analysis.C0Absorption.Finite
namespace OAI
open Set Filter Topology
open scoped NNReal BigOperators ZeroAtInfty
open NormedSpace
namespace C0Absorption
noncomputable section
open Set Filter Topology NormedSpace
open scoped NNReal BigOperators ZeroAtInfty
variable {N : ℕ}
def finiteRecomputed (N : ℕ) (x : FInput N) : FInput N :=
finiteFrozen N (stateWeights (normalizedBall (finiteEmbed N x))) x
@[simp] theorem finiteRecomputed_zero (N : ℕ) : finiteRecomputed N 0=0 := map_zero _
theorem finiteFrozen_weight_error {W V : FrozenWeights} {x : FInput N} {q : ℝ}
(hq : 0≤q) (h : WeightError W V (finiteEmbed N x) q) :
‖finiteFrozen N W x-finiteFrozen N V x‖≤6*q := by
apply (pi_norm_le_iff_of_nonneg (mul_nonneg (by norm_num) hq)).mpr
rintro (i|γ)
· change |finiteRow W (i,Fin.last N) x-finiteRow V (i,Fin.last N) x|≤_
rw [finiteRow_eq,finiteRow_eq]
exact (rowScalar_weight_error W V _ _ (h.row _)).trans (by linarith)
· change |finiteFrozenFunction W x (.inr γ)-finiteFrozenFunction V x (.inr γ)|≤_
rw [finiteFrozen_block,finiteFrozen_block]
exact (cfun_norm_apply_le (frozenShift W (finiteEmbed N x)-frozenShift V (finiteEmbed N x)) (fLabel γ)).trans
(shift_weight_error hq h)
theorem finiteRecomputed_mixed_left (x y : FInput N) :
‖finiteRecomputed N x-finiteFrozen N (mixedWeights (normalizedBall (finiteEmbed N x)) (normalizedBall (finiteEmbed N y))) x‖≤12*eta*dist x y := by
have hh := finiteFrozen_weight_error (mul_nonneg (mul_nonneg (by norm_num) eta_pos.le) dist_nonneg)
(normalized_error_left (finiteEmbed N x) (finiteEmbed N y))
rw [LinearIsometry.dist_map] at hh
exact hh.trans (by apply le_of_eq; ring)
theorem finiteRecomputed_mixed_right (x y : FInput N) :
‖finiteRecomputed N y-finiteFrozen N (mixedWeights (normalizedBall (finiteEmbed N x)) (normalizedBall (finiteEmbed N y))) y‖≤12*eta*dist x y := by
have hh := finiteFrozen_weight_error (mul_nonneg (mul_nonneg (by norm_num) eta_pos.le) dist_nonneg)
(normalized_error_right (finiteEmbed N x) (finiteEmbed N y))
rw [LinearIsometry.dist_map] at hh
exact hh.trans (by apply le_of_eq; ring)
theorem finiteRecomputed_mixed_approx (x y : FInput N) :
‖finiteRecomputed N x-finiteRecomputed N y-
finiteFrozen N (mixedWeights (normalizedBall (finiteEmbed N x)) (normalizedBall (finiteEmbed N y))) (x-y)‖≤24*eta*dist x y := by
let W := mixedWeights (normalizedBall (finiteEmbed N x)) (normalizedBall (finiteEmbed N y))
have he : finiteRecomputed N x-finiteRecomputed N y-finiteFrozen N W (x-y)=
(finiteRecomputed N x-finiteFrozen N W x)-(finiteRecomputed N y-finiteFrozen N W y) := by rw [map_sub]; abel
rw [he]
exact (norm_sub_le _ _).trans (by linarith [finiteRecomputed_mixed_left x y,finiteRecomputed_mixed_right x y])
theorem fiveBounds_of_error {E : Type*} [NormedAddCommGroup E] {a b : E} {d e : ℝ}
(he : ‖a-b‖≤e*d) (hU : ‖b‖≤5*d) (hL : d≤5*‖b‖) :
(1/5-e)*d≤‖a‖ ∧ ‖a‖≤(5+e)*d := by
have hu : ‖a‖≤‖a-b‖+‖b‖ := by simpa only [sub_add_cancel] using norm_add_le (a-b) b
have hl : ‖b‖≤‖a-b‖+‖a‖ := by simpa only [sub_add_cancel,norm_sub_rev] using norm_add_le (b-a) a
constructor <;> nlinarith
theorem finiteRecomputed_global_bounds (x y : FInput N) :
(1/5-24*eta)*dist x y≤dist (finiteRecomputed N x) (finiteRecomputed N y) ∧
dist (finiteRecomputed N x) (finiteRecomputed N y)≤(5+24*eta)*dist x y := by
let W := mixedWeights (normalizedBall (finiteEmbed N x)) (normalizedBall (finiteEmbed N y))
let a := finiteRecomputed N x-finiteRecomputed N y
let b := finiteFrozen N W (x-y)
have he : ‖a-b‖≤24*eta*dist x y := finiteRecomputed_mixed_approx x y
have hU : ‖b‖≤5*dist x y := by
change ‖finiteFrozenFunction W (x-y)‖≤5*dist x y
rw [dist_eq_norm]
exact finiteFrozen_bound W (x-y)
have hL : dist x y≤5*‖b‖ := by simpa only [dist_eq_norm] using finiteFrozen_lower W (x-y)
rw [dist_eq_norm (finiteRecomputed N x) (finiteRecomputed N y)]
exact fiveBounds_of_error he hU hL
theorem finiteRecomputed_lipschitz (N : ℕ) : LipschitzWith (628/125) (finiteRecomputed N) := by
apply LipschitzWith.of_dist_le_mul
intro x y
have hh := (finiteRecomputed_global_bounds x y).2
norm_num [eta] at hh ⊢
exact hh
theorem finiteRecomputed_antilipschitz (N : ℕ) : AntilipschitzWith (125/22) (finiteRecomputed N) := by
apply AntilipschitzWith.of_le_mul_dist
intro x y
have h := (finiteRecomputed_global_bounds x y).1
norm_num [eta] at h ⊢
nlinarith
end
end C0Absorption
namespace C0Absorption
noncomputable section
open Set Filter Topology NormedSpace
open scoped NNReal BigOperators
section FiniteOperators
variable {A : Type*} [Fintype A] [DecidableEq A] {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
theorem finite_operator_norm_le_columns (T : (A → ℝ) →L[ℝ] E) :
‖T‖≤∑ a,‖T (Pi.single a 1)‖ := by
classical
apply ContinuousLinearMap.opNorm_le_bound _ (Finset.sum_nonneg (fun a _ => norm_nonneg _))
intro x
have he : (∑ a, x a • Pi.single a (1 : ℝ))=x := by
ext b
simp [Pi.single_apply]
have hEq : T x=∑ a,x a • T (Pi.single a 1) := by
simpa only [map_sum,map_smul] using congrArg T he.symm
rw [hEq]
calc
_ ≤ ∑ a, ‖x a • T (Pi.single a 1)‖ := norm_sum_le _ _
_ = ∑ a, ‖T (Pi.single a 1)‖*‖x a‖ := by simp only [norm_smul,mul_comm]
_ ≤ ∑ a, ‖T (Pi.single a 1)‖*‖x‖ := Finset.sum_le_sum (fun a _ =>
mul_le_mul_of_nonneg_left (norm_le_pi_norm x a) (norm_nonneg _))
_ = _ := by rw [Finset.sum_mul]
theorem tendsto_finiteOperator_of_columns {X : Type*} {l : Filter X}
(T : X → (A → ℝ) →L[ℝ] E) (S : (A → ℝ) →L[ℝ] E)
(h : ∀ a, Tendsto (fun z => T z (Pi.single a 1)) l (nhds (S (Pi.single a 1)))) :
Tendsto T l (nhds S) := by
classical
rw [tendsto_iff_norm_sub_tendsto_zero]
apply squeeze_zero (fun z => norm_nonneg _) (fun z => finite_operator_norm_le_columns (T z-S))
have hh : Tendsto (fun z => ∑ a, ‖T z (Pi.single a 1)-S (Pi.single a 1)‖) l (nhds (∑ a : A, (0 : ℝ))) :=
tendsto_finsetSum _ (fun a _ => tendsto_iff_norm_sub_tendsto_zero.mp (h a))
simpa only [sub_apply,Finset.sum_const_zero] using hh
end FiniteOperators
theorem diagonal_neighborhood {X Y G : Type*} [TopologicalSpace X] [TopologicalSpace Y]
[NormedAddCommGroup G] (q : X → Y) {x : X} (hq : ContinuousAt q x)
(A : Y × Y → G) (g : G) (hA : Tendsto A (nhds (q x,q x)) (nhds g))
{ε : ℝ} (hε : 0<ε) :
∃ s : Set X, s∈nhds x ∧ ∀ y∈s, ∀ z∈s, ‖A (q y,q z)-g‖<ε := by
have hp : Tendsto (fun p : X × X => (q p.1,q p.2)) (nhds (x,x)) (nhds (q x,q x)) :=
(hq.comp continuous_fst.continuousAt).prodMk (hq.comp continuous_snd.continuousAt)
have ht := hA.comp hp
have he : {p : X × X | ‖A (q p.1,q p.2)-g‖<ε}∈nhds (x,x) := by
have hh := Metric.tendsto_nhds.mp ht ε hε
change ∀ᶠ p : X × X in nhds (x,x), ‖A (q p.1,q p.2)-g‖<ε
filter_upwards [hh] with p h
simpa only [Function.comp_def,dist_eq_norm] using h
rw [nhds_prod_eq] at he
obtain ⟨s,hs,t,ht,hst⟩ := Filter.mem_prod_iff.mp he
exact ⟨s∩t,inter_mem hs ht,fun y hy z hz => @hst (y,z) ⟨hy.1,hz.2⟩⟩
end
end C0Absorption
end OAI