roseking's picture
Add lean source and binary files (part 12)
9655094 verified
Raw History Blame Contribute Delete
14.3 kB
import OAI.Analysis.C0Absorption.Localization
namespace OAI
open Set Filter Topology
open scoped NNReal BigOperators ZeroAtInfty
namespace C0Absorption
noncomputable section
abbrev C0Ball := Metric.closedBall (0 : C0) 1
abbrev Cube (I : Finset ℕ) := (i : I) → Icc (-1 : ℝ) 1
theorem c0_norm_apply_le (s : C0) (i : ℕ) : |s i| ≤ ‖s‖ := by
exact s.toBCF.norm_coe_le_norm i
theorem c0_norm_le (s : C0) {a : ℝ} (ha : 0 ≤ a) (hs : ∀ i, |s i| ≤ a) : ‖s‖ ≤ a := by
exact (s.toBCF.norm_le ha).mpr hs
def c0Eval (i : ℕ) : C0 →L[ℝ] ℝ :=
LinearMap.mkContinuous
{ toFun := fun s : C0 => s i
map_add' := fun _ _ => rfl
map_smul' := fun _ _ => rfl } 1 (fun s => by simpa using c0_norm_apply_le s i)
@[simp] theorem c0Eval_apply (i : ℕ) (s : C0) : c0Eval i s = s i := rfl
def cubeRestrict (I : Finset ℕ) (s : C0Ball) : Cube I := fun i =>
⟨s.val i, by
have hnorm : ‖s.val‖ ≤ 1 := by
have hh := s.property
change dist s.val 0 ≤ 1 at hh
rwa [dist_zero_right] at hh
exact abs_le.mp ((c0_norm_apply_le s.val i).trans hnorm)⟩
def finsuppToC0 (f : ℕ →₀ ℝ) : C0 where
toFun := f
continuous_toFun := continuous_of_discreteTopology
zero_at_infty' := (HasCompactSupport.of_support_subset_isCompact
f.hasFiniteSupport.isCompact (Set.Subset.refl _)).is_zero_at_infty
@[simp] theorem finsuppToC0_apply (f : ℕ →₀ ℝ) (i : ℕ) : finsuppToC0 f i = f i := rfl
def atom (i : ℕ) : C0 := finsuppToC0 (Finsupp.single i 1)
@[simp] theorem atom_apply (i j : ℕ) : atom i j = if i=j then 1 else 0 := by
simp [atom, Finsupp.single_apply]
@[simp] theorem atom_norm (i : ℕ) : ‖atom i‖ = 1 := by
apply le_antisymm
· apply c0_norm_le _ zero_le_one
intro j
simp only [atom_apply]
split <;> norm_num
· simpa using c0_norm_apply_le (atom i) i
def truncate (N : ℕ) (s : C0) : C0 := ∑ i ∈ Finset.range N, s i • atom i
@[simp] theorem truncate_apply (N : ℕ) (s : C0) (i : ℕ) :
truncate N s i = if i < N then s i else 0 := by
classical
change c0Eval i (∑ j ∈ Finset.range N, s j • atom j) = _
simp only [map_sum, map_smul, smul_eq_mul, c0Eval_apply, atom_apply]
by_cases hi : i < N
· rw [ite_eq_left hi, Finset.sum_eq_single i]
· simp
· intro j hj hji; simp [hji]
· intro hnot; exact (hnot (Finset.mem_range.mpr hi)).elim
· rw [ite_eq_right hi]
apply Finset.sum_eq_zero
intro j hj
have hji : j ≠ i := by intro h; subst j; exact hi (Finset.mem_range.mp hj)
simp [hji]
theorem c0_tendsto_zero (s : C0) : Tendsto s atTop (nhds 0) := by
simpa only [cocompact_eq_cofinite, Nat.cofinite_eq_atTop] using zero_at_infty s
theorem truncate_tendsto (s : C0) : Tendsto (fun N => truncate N s) atTop (nhds s) := by
rw [Metric.tendsto_nhds]
intro ε hε
have he : ∀ᶠ i in atTop, |s i| < ε/2 := by
simpa only [Real.dist_eq, sub_zero] using
(Metric.tendsto_nhds.mp (c0_tendsto_zero s) (ε/2) (by positivity))
obtain ⟨N, hN⟩ := eventually_atTop.mp he
filter_upwards [eventually_ge_atTop N] with n hn
rw [dist_eq_norm]
apply lt_of_le_of_lt ?_ (half_lt_self hε)
apply c0_norm_le _ (by positivity : 0 ≤ ε/2)
intro i
simp only [ZeroAtInftyContinuousMap.sub_apply, truncate_apply]
by_cases hi : i < n
· simp [hi]; positivity
· simp only [ite_eq_right hi, zero_sub, abs_neg]
exact (hN i (hn.trans (Nat.le_of_not_gt hi))).le
theorem truncate_mem_span (N : ℕ) (s : C0) :
truncate N s ∈ Submodule.span ℝ (Set.range atom) := by
apply Submodule.sum_mem
intro i hi
exact Submodule.smul_mem _ _ (Submodule.subset_span ⟨i, rfl⟩)
theorem c0_span_dense : Dense (↑(Submodule.span ℝ (Set.range atom)) : Set C0) := by
intro s
exact mem_closure_of_tendsto (truncate_tendsto s)
(Filter.Eventually.of_forall (fun N => truncate_mem_span N s))
instance c0_separable : TopologicalSpace.SeparableSpace C0 := by
apply TopologicalSpace.isSeparable_univ_iff.mp
have hh := (Set.countable_range atom).isSeparable.span (R := ℝ)
rw [← c0_span_dense.closure_eq]
exact hh.closure
def extendFinite (I : Finset ℕ) (x : I → ℝ) : C0 := by
classical
exact finsuppToC0 (Finsupp.onFinset I (fun j => if h : j ∈ I then x ⟨j,h⟩ else 0)
(by intro j hj; by_contra h; simp [h] at hj))
@[simp] theorem extendFinite_apply (I : Finset ℕ) (x : I → ℝ) (j : ℕ) :
extendFinite I x j = if h : j ∈ I then x ⟨j,h⟩ else 0 := by
classical
rfl
theorem extendFinite_norm_le (I : Finset ℕ) (x : I → ℝ) {a : ℝ}
(ha : 0 ≤ a) (hx : ∀ i, |x i| ≤ a) : ‖extendFinite I x‖ ≤ a := by
classical
apply c0_norm_le _ ha
intro j
rw [extendFinite_apply]
split
· exact hx _
· simpa using ha
def cubeExtend (I : Finset ℕ) (x : Cube I) : C0Ball :=
⟨extendFinite I (fun i => (x i).val), by
rw [Metric.mem_closedBall, dist_zero_right]
apply extendFinite_norm_le _ _ zero_le_one
intro i
exact abs_le.mpr (x i).property⟩
@[simp] theorem cubeRestrict_extend (I : Finset ℕ) (x : Cube I) :
cubeRestrict I (cubeExtend I x) = x := by
classical
ext i
change extendFinite I (fun i => (x i).val) i = (x i).val
simp
theorem cubeRestrict_lipschitz (I : Finset ℕ) : LipschitzWith 1 (cubeRestrict I) := by
apply LipschitzWith.of_dist_le_mul
intro s t
rw [NNReal.coe_one, one_mul]
apply (dist_pi_le_iff dist_nonneg).mpr
intro i
change dist (s.val i) (t.val i) ≤ dist s.val t.val
exact BoundedContinuousFunction.dist_coe_le_dist (f := s.val.toBCF) (g := t.val.toBCF) i
theorem cubeExtend_lipschitz (I : Finset ℕ) : LipschitzWith 1 (cubeExtend I) := by
classical
apply LipschitzWith.of_dist_le_mul
intro s t
rw [NNReal.coe_one, one_mul, Subtype.dist_eq, dist_eq_norm]
apply c0_norm_le _ dist_nonneg
intro j
change |extendFinite I (fun i => (s i).val) j-extendFinite I (fun i => (t i).val) j| ≤ dist s t
simp only [extendFinite_apply]
split
· exact dist_le_pi_dist s t _
· simp
theorem cubeExtend_isometry (I : Finset ℕ) : Isometry (cubeExtend I) := by
rw [isometry_iff_dist_eq]
intro x y
apply le_antisymm
· simpa using (cubeExtend_lipschitz I).dist_le_mul x y
· simpa using (cubeRestrict_lipschitz I).dist_le_mul (cubeExtend I x) (cubeExtend I y)
abbrev GridIndex (n : ℕ) := Icc (-(n : ℤ)) (n : ℤ)
def gridPoint (n : ℕ) (hn : 0 < n) (z : GridIndex n) : Icc (-1 : ℝ) 1 :=
⟨(z.val : ℝ) / n, by
have hn' : (0 : ℝ) < n := by exact_mod_cast hn
have hl : -(n : ℝ) ≤ (z.val : ℝ) := by exact_mod_cast z.property.1
have hu : (z.val : ℝ) ≤ (n : ℝ) := by exact_mod_cast z.property.2
constructor
· apply (le_div_iff₀ hn').mpr; simpa using hl
· apply (div_le_iff₀ hn').mpr; simpa using hu⟩
def nearestGridIndex (n : ℕ) (_hn : 0 < n) (x : Icc (-1 : ℝ) 1) : GridIndex n :=
⟨round ((n : ℝ) * x.val), by
have hb := abs_le.mp (abs_sub_round ((n : ℝ) * x.val))
have hxlo : -(n : ℝ) ≤ (n : ℝ) * x.val := by nlinarith [x.property.1, Nat.cast_nonneg (α := ℝ) n]
have hxhi : (n : ℝ) * x.val ≤ n := by nlinarith [x.property.2, Nat.cast_nonneg (α := ℝ) n]
constructor
· by_contra h
have hh : round ((n : ℝ) * x.val) ≤ -(n : ℤ)-1 := by omega
have hh' : (round ((n : ℝ) * x.val) : ℝ) ≤ -(n : ℝ)-1 := by exact_mod_cast hh
linarith
· by_contra h
have hh : (n : ℤ)+1 ≤ round ((n : ℝ) * x.val) := by omega
have hh' : (n : ℝ)+1 ≤ (round ((n : ℝ) * x.val) : ℝ) := by exact_mod_cast hh
linarith⟩
theorem nearestGrid_dist (n : ℕ) (hn : 0 < n) (x : Icc (-1 : ℝ) 1) :
dist x (gridPoint n hn (nearestGridIndex n hn x)) ≤ 1 / (2*(n : ℝ)) := by
have hn' : (0 : ℝ) < n := by exact_mod_cast hn
change |x.val - (round ((n : ℝ)*x.val) : ℝ)/(n : ℝ)| ≤ _
rw [show x.val - (round ((n : ℝ)*x.val) : ℝ)/(n : ℝ) =
((n : ℝ)*x.val-(round ((n : ℝ)*x.val) : ℝ))/(n : ℝ) by field_simp,
abs_div, abs_of_pos hn', div_le_iff₀ hn']
have hb := abs_sub_round ((n : ℝ)*x.val)
have he : 1 / (2*(n : ℝ)) * (n : ℝ) = (1 : ℝ)/2 := by field_simp
rwa [he]
def dyadic (a : ℕ) : ℝ := ((2 : ℝ)^a)⁻¹
theorem dyadic_pos (a : ℕ) : 0 < dyadic a := by unfold dyadic; positivity
theorem dyadic_tendsto : Tendsto dyadic atTop (nhds 0) := by
change Tendsto (fun a : ℕ => ((2 : ℝ)^a)⁻¹) atTop (nhds 0)
simpa only [inv_pow] using tendsto_pow_atTop_nhds_zero_of_lt_one
(by norm_num : (0 : ℝ) ≤ 2⁻¹) (by norm_num : (2 : ℝ)⁻¹ < 1)
abbrev OperationGrid (I : Finset ℕ) (a : ℕ) := I → GridIndex (2^(a+3))
def operationGridPoint (I : Finset ℕ) (a : ℕ) (q : OperationGrid I a) : Cube I :=
fun i => gridPoint _ (by positivity) (q i)
def nearestOperationGrid (I : Finset ℕ) (a : ℕ) (x : Cube I) : OperationGrid I a :=
fun i => nearestGridIndex _ (by positivity) (x i)
theorem operationGrid_mesh (a : ℕ) : (1 : ℝ) / (2^(a+3)) = dyadic a / 8 := by
rw [dyadic, pow_add]; norm_num; ring
theorem nearestOperationGrid_dist (I : Finset ℕ) (a : ℕ) (x : Cube I) :
dist x (operationGridPoint I a (nearestOperationGrid I a x)) ≤ dyadic a / 16 := by
apply (dist_pi_le_iff (div_nonneg (dyadic_pos a).le (by norm_num) : 0 ≤ dyadic a / 16)).mpr
intro i
have hh := nearestGrid_dist (2^(a+3)) (by positivity) (x i)
change dist (x i) (gridPoint _ _ (nearestGridIndex _ _ (x i))) ≤ _
refine hh.trans_eq ?_
push_cast
rw [dyadic, pow_add]
norm_num
ring
def coordinateTail (N : ℕ) (s : C0) : C0 := s - truncate (N+1) s
@[simp] theorem coordinateTail_apply (N : ℕ) (s : C0) (i : ℕ) :
coordinateTail N s i = if N < i then s i else 0 := by
simp only [coordinateTail, ZeroAtInftyContinuousMap.sub_apply, truncate_apply]
split_ifs <;> simp_all; omega
def tau (N : ℕ) (s : C0) : ℝ := ‖coordinateTail N s‖
theorem tau_nonneg (N : ℕ) (s : C0) : 0 ≤ tau N s := norm_nonneg _
theorem coordinateTail_sub (N : ℕ) (s t : C0) :
coordinateTail N (s-t) = coordinateTail N s-coordinateTail N t := by
ext i
simp only [coordinateTail_apply, ZeroAtInftyContinuousMap.sub_apply]
split_ifs <;> simp
theorem tau_le_norm (N : ℕ) (s : C0) : tau N s ≤ ‖s‖ := by
apply c0_norm_le _ (norm_nonneg s)
intro i
rw [coordinateTail_apply]
split_ifs
· exact c0_norm_apply_le s i
· simp
theorem tau_lipschitz (N : ℕ) : LipschitzWith 1 (tau N) := by
apply LipschitzWith.of_dist_le_mul
intro s t
rw [NNReal.coe_one, one_mul, Real.dist_eq]
calc
|tau N s-tau N t| ≤ ‖coordinateTail N s-coordinateTail N t‖ := abs_norm_sub_norm_le _ _
_ = tau N (s-t) := by rw [tau, coordinateTail_sub]
_ ≤ ‖s-t‖ := tau_le_norm _ _
_ = dist s t := (dist_eq_norm _ _).symm
theorem tau_antitone (s : C0) : Antitone (fun N => tau N s) := by
intro M N hMN
apply c0_norm_le _ (tau_nonneg M s)
intro i
rw [coordinateTail_apply]
split_ifs with hi
· have hh := c0_norm_apply_le (coordinateTail M s) i
simpa [tau, coordinateTail_apply, lt_of_le_of_lt hMN hi] using hh
· simpa using tau_nonneg M s
theorem tau_tendsto_zero (s : C0) : Tendsto (fun N => tau N s) atTop (nhds 0) := by
have hh := ((show Tendsto (fun _ : ℕ => s) atTop (nhds s) from tendsto_const_nhds).sub (truncate_tendsto s)).norm
have hshift : Tendsto (fun N : ℕ => N+1) atTop atTop := tendsto_add_atTop_nat 1
simpa [Function.comp_def, tau, coordinateTail] using hh.comp hshift
def tailFactor (c : ℝ) (N : ℕ) (s : C0) : ℝ := min 1 (max (2-tau N s/c) 0)
theorem tailFactor_nonneg (c : ℝ) (N : ℕ) (s : C0) : 0 ≤ tailFactor c N s := by
exact le_min zero_le_one (le_max_right _ _)
theorem tailFactor_le_one (c : ℝ) (N : ℕ) (s : C0) : tailFactor c N s ≤ 1 := min_le_left _ _
theorem tailFactor_eq_one {c : ℝ} (hc : 0 < c) (N : ℕ) (s : C0) (hs : tau N s ≤ c) :
tailFactor c N s = 1 := by
apply min_eq_left
apply (le_max_left _ _).trans'
have hdiv := (div_le_one hc).mpr hs
linarith
theorem tailFactor_eq_zero {c : ℝ} (hc : 0 < c) (N : ℕ) (s : C0) (hs : 2*c ≤ tau N s) :
tailFactor c N s = 0 := by
have hdiv : 2 ≤ tau N s/c := (le_div_iff₀ hc).mpr hs
simp [tailFactor, max_eq_right (show 2-tau N s/c ≤ 0 by linarith)]
theorem tailFactor_lipschitz {c : ℝ} (hc : 0 < c) (N : ℕ) :
LipschitzWith ⟨c⁻¹, inv_nonneg.mpr hc.le⟩ (tailFactor c N) := by
have ht : LipschitzWith ⟨c⁻¹, inv_nonneg.mpr hc.le⟩ (fun s => (2 : ℝ)-tau N s/c) := by
apply LipschitzWith.of_dist_le_mul
intro s t
rw [Real.dist_eq]
change |(2-tau N s/c)-(2-tau N t/c)| ≤ c⁻¹ * dist s t
calc
_ = |tau N s-tau N t| / c := by
rw [← abs_neg, neg_sub, show (2-tau N t/c)-(2-tau N s/c) = (tau N s-tau N t)/c by ring,
abs_div, abs_of_pos hc]
_ ≤ dist s t/c := div_le_div_of_nonneg_right
(by simpa [Real.dist_eq] using (tau_lipschitz N).dist_le_mul s t) hc.le
_ = _ := by ring
have hh := (LipschitzWith.const (1 : ℝ)).min (ht.max (LipschitzWith.const (0 : ℝ)))
change LipschitzWith _ (fun s => min 1 (max (2-tau N s/c) 0))
apply hh.weaken
exact max_le bot_le (max_le le_rfl bot_le)
theorem tailFactor_tendsto_one {c : ℝ} (hc : 0 < c) (s : C0) :
Tendsto (fun N => tailFactor c N s) atTop (nhds 1) := by
have hh : ∀ᶠ N in atTop, tau N s ≤ c :=
(tau_tendsto_zero s).eventually (eventually_le_nhds hc)
apply tendsto_const_nhds.congr'
filter_upwards [hh] with N hN
exact (tailFactor_eq_one hc N s hN).symm
theorem tailFactor_support {c : ℝ} (hc : 0 < c) (N : ℕ) :
tsupport (tailFactor c N) ⊆ {s | tau N s ≤ 2*c} := by
apply closure_minimal
· intro s hs
by_contra hh
exact hs (tailFactor_eq_zero hc N s (le_of_not_ge hh))
· exact isClosed_le (tau_lipschitz N).continuous continuous_const
theorem remainderTail_support {c : ℝ} (hc : 0 < c) (N : ℕ) :
tsupport (fun s => tailFactor c N s-1) ⊆ {s | c ≤ tau N s} := by
apply closure_minimal
· intro s hs
by_contra hh
have he := tailFactor_eq_one hc N s (le_of_not_ge hh)
exact hs (by simp only [he, sub_self])
· exact isClosed_le continuous_const (tau_lipschitz N).continuous
end
end C0Absorption
end OAI