openAI-math-dataset / lean /OAI /Probability /ParisiFinite /GlobalDyadicFieldError.lean
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import Mathlib
import OAI.Probability.ParisiFinite.Splice
namespace OAI
/-! Global Dyadic Field Error. -/
noncomputable section
open MeasureTheory ProbabilityTheory Filter Function Set
open scoped Topology NNReal
open MeasureTheory ProbabilityTheory Filter Function Set
open scoped Topology NNReal
namespace ParisiFinite
lemma global_dyadic_field_error (β : ℝ≥0) (hβ : 0<β) {γ : ℝ≥0 → ℝ≥0}
(hγ : Monotone γ) (hb : ∀ t,γ t ≤ β) (r : ℝ≥0) (hr : r<1) (n : ℕ) (x : ℝ) :
|(finiteTimeField β hβ (dyadicSchedule γ false 0 1 n) 0 r).val x-field β γ r x| ≤
(β:ℝ)*dyadicMesh 1 n := by
have hh := dyadic_suffix_value_error β hβ hγ hb 0 1 n r hr x
rw [←zero_add (r:ℝ),finiteTimeField_suffix_val]
simpa only [zero_add,field] using hh
lemma global_dyadic_field_tendstoUniformly (β : ℝ≥0) (hβ : 0<β) {γ : ℝ≥0 → ℝ≥0}
(hγ : Monotone γ) (hb : ∀ t,γ t ≤ β) (r : ℝ≥0) (hr : r<1) :
TendstoUniformly (fun n => (finiteTimeField β hβ (dyadicSchedule γ false 0 1 n) 0 r).val)
(field β γ r) atTop := by
have he : Tendsto (fun n => (β:ℝ)*(dyadicMesh 1 n:ℝ)) atTop (𝓝 (0:ℝ)) := by
simpa only [mul_zero] using (dyadicMesh_tendsto 1).const_mul (β:ℝ)
rw [Metric.tendstoUniformly_iff]
intro ε hε
filter_upwards [he.eventually (gt_mem_nhds hε)] with n hn x
rw [Real.dist_eq,abs_sub_comm]
exact (global_dyadic_field_error β hβ hγ hb r hr n x).trans_lt hn
lemma global_dyadic_gradient_tendstoUniformly (β : ℝ≥0) (hβ : 0<β) {γ : ℝ≥0 → ℝ≥0}
(hγ : Monotone γ) (hb : ∀ t,γ t ≤ β) (r : ℝ≥0) (hr : r<1) :
TendstoUniformly (fun n => (finiteTimeField β hβ (dyadicSchedule γ false 0 1 n) 0 r).d1)
(fieldGradient β γ r) atTop := by
obtain ⟨m,hu,hd,_,_⟩ := exists_uniform_derivative_limit
(fun n => finiteTimeField_curvature β hβ _ (dyadicSchedule_coeff_bound hb false 0 1 n) 0 r)
(global_dyadic_field_tendstoUniformly β hβ hγ hb r hr)
have he : m=fieldGradient β γ r := funext fun x => (hd x).deriv.symm
rwa [he] at hu
lemma finiteTimeCoefficient_scheduleValue (ls : Schedule) (s : ℝ) (r : ℝ≥0) :
finiteTimeCoefficient ls s (s+r)=(scheduleValue ls r:ℝ) := by
induction ls generalizing s r with
| nil => rfl
| cons l ls ih =>
rcases l with ⟨a,d⟩
have hc : s+(r:ℝ)<s+(d:ℝ) ↔ r<d := by exact_mod_cast add_lt_add_iff_left s
simp only [finiteTimeCoefficient,scheduleValue,hc]
split_ifs with hrd
· rfl
· have he : s+(r:ℝ)=(s+d)+(r-d:ℝ≥0) := by
rw [NNReal.coe_sub (le_of_not_gt hrd)]
ring
rw [he,ih]
lemma dyadicSchedule_low_sample (γ : ℝ≥0 → ℝ≥0) (t d : ℝ≥0) (n : ℕ)
(r : ℝ≥0) (hr : r<d) :
∃ y : ℝ≥0,scheduleValue (dyadicSchedule γ false t d n) r=γ y ∧
y ≤ t+r ∧ t+r ≤ y+dyadicMesh d n := by
induction n generalizing t d r with
| zero =>
refine ⟨t,?_,le_add_of_nonneg_right zero_le,?_⟩
· simp [dyadicSchedule,scheduleValue,hr]
· simpa only [dyadicMesh,pow_zero,div_one] using add_le_add_right hr.le t
| succ n ih =>
simp only [dyadicSchedule]
by_cases hrd : r<d/2
· rw [scheduleValue_append_left _ _ r (by rwa [dyadicSchedule_nnwidth])]
simpa only [dyadicMesh_succ] using ih t (d/2) r hrd
· have hd : d/2 ≤ r := le_of_not_gt hrd
have he : d/2+(r-d/2)=r := add_tsub_cancel_of_le hd
have ht : r-d/2<d/2 := by
apply (tsub_lt_iff_left hd).mpr
simpa only [add_halves] using hr
have hlo := scheduleValue_append_right
(dyadicSchedule γ false t (d/2) n)
(dyadicSchedule γ false (t+d/2) (d/2) n) (r-d/2)
rw [dyadicSchedule_nnwidth,he] at hlo
rw [hlo]
simpa only [dyadicMesh_succ,add_assoc,he] using ih (t+d/2) (d/2) (r-d/2) ht
lemma dyadicSchedule_low_value_tendsto (γ : ℝ≥0 → ℝ≥0) (t d r : ℝ≥0)
(hr : r<d) (hc : ContinuousAt γ (t+r)) :
Tendsto (fun n => scheduleValue (dyadicSchedule γ false t d n) r) atTop (𝓝 (γ (t+r))) := by
choose y hy hlo hhi using fun n => dyadicSchedule_low_sample γ t d n r hr
have ht : Tendsto y atTop (𝓝 (t+r)) := by
rw [←NNReal.tendsto_coe]
apply tendsto_of_tendsto_of_tendsto_of_le_of_le
(by simpa only [sub_zero] using (tendsto_const_nhds.sub (dyadicMesh_tendsto d)))
tendsto_const_nhds
· intro n
have hh : (t+r:ℝ≥0) ≤ (y n:ℝ)+(dyadicMesh d n:ℝ) := by exact_mod_cast hhi n
linarith
· intro n; exact_mod_cast hlo n
simpa only [hy,Function.comp_def] using hc.tendsto.comp ht
lemma dyadicSchedule_low_value_coe_tendsto (γ : ℝ≥0 → ℝ≥0) (t d r : ℝ≥0)
(hr : r<d) (hc : ContinuousAt (fun s : ℝ => (γ (Real.toNNReal s):ℝ)) (t+r:ℝ≥0)) :
Tendsto (fun n => (scheduleValue (dyadicSchedule γ false t d n) r:ℝ))
atTop (𝓝 (γ (t+r):ℝ)) := by
have hc' : ContinuousAt γ (t+r) := by
change Tendsto γ (𝓝 (t+r)) (𝓝 (γ (t+r)))
rw [←NNReal.tendsto_coe]
simpa only [Function.comp_def,Real.toNNReal_coe] using
(hc.comp NNReal.continuous_coe.continuousAt).tendsto
exact NNReal.continuous_coe.continuousAt.tendsto.comp
(dyadicSchedule_low_value_tendsto γ t d r hr hc')
lemma global_dyadic_coefficient_tendsto_ae {γ : ℝ≥0 → ℝ≥0} (hγ : Monotone γ) :
∀ᵐ t ∂volume,t ∈ Ioo (0:ℝ) 1 →
Tendsto (fun n => finiteTimeCoefficient (dyadicSchedule γ false 0 1 n) 0 t)
atTop (𝓝 (γ (Real.toNNReal t):ℝ)) := by
let c (s : ℝ) : ℝ := γ (Real.toNNReal s)
have hm : Monotone c := fun s t h =>
NNReal.coe_le_coe.mpr (hγ (Real.toNNReal_le_toNNReal h))
have hc : ∀ᵐ t ∂volume,ContinuousAt c t := by
rw [ae_iff]
exact hm.countable_not_continuousAt.measure_zero volume
filter_upwards [hc] with t ht hmem
have hr : Real.toNNReal t < 1 := by
exact_mod_cast (show (Real.toNNReal t:ℝ)<1 by rw [Real.coe_toNNReal _ hmem.1.le];exact hmem.2)
have hh := dyadicSchedule_low_value_coe_tendsto γ 0 1 (Real.toNNReal t) hr
(by simpa only [zero_add,Real.coe_toNNReal _ hmem.1.le,c] using ht)
simpa only [zero_add,←finiteTimeCoefficient_scheduleValue _ (0:ℝ),
Real.coe_toNNReal _ hmem.1.le] using hh
end ParisiFinite
open MeasureTheory ProbabilityTheory Filter Function Set
open scoped Topology NNReal
namespace ParisiFinite
open ParisiPath
namespace ThirdJet
variable {f : SmoothField}
lemma continuous_transformD3_joint (j : ThirdJet f) (a : ℝ) :
Continuous (fun p : ℝ×ℝ => j.transformD3 a p.1 p.2) := by
have hb : ∀ y,|j.expThird a y|≤
(j.bound3+3*Real.nnabs a*(f.bound1*f.bound2)+(Real.nnabs a)^2*f.bound1^3:ℝ≥0) := by
intro y
simpa only [NNReal.coe_add,NNReal.coe_mul,NNReal.coe_ofNat,Real.coe_nnabs,
NNReal.coe_pow,sq_abs] using j.expThird_bound a y
exact ((continuous_tiltedMean_joint f.lipschitz (j.continuous_expThird a) hb a).sub
(((continuous_transform_d1 f a).mul (continuous_transform_d2 f a)).const_mul (3*a))).sub
(((continuous_transform_d1 f a).pow 3).const_mul (a^2))
def slabD3 (j : ThirdJet f) (a b t x : ℝ) : ℝ :=
j.transformD3 a (Real.sqrt (b-t)) x
lemma continuous_slabD3 (j : ThirdJet f) (a b : ℝ) :
Continuous (uncurry (j.slabD3 a b)) :=
(j.continuous_transformD3_joint a).comp
(((continuous_const.sub continuous_fst).sqrt).prodMk continuous_snd)
lemma slabD3_bound (j : ThirdJet f) (a b t x : ℝ) :
|j.slabD3 a b t x|≤(j.transform a 0).bound3 :=
(j.transform a (Real.sqrt (b-t))).normD3 x
def gradientDt (j : ThirdJet f) (a b t x : ℝ) : ℝ :=
if t<b then -(1/2:ℝ)*(j.slabD3 a b t x+
2*a*(fieldOnInterval f a b t).d1 x*(fieldOnInterval f a b t).d2 x) else 0
def gradientTimeBound (j : ThirdJet f) (a : ℝ) : ℝ≥0 :=
((j.transform a 0).bound3+2*Real.nnabs a*f.bound1*(f.transform a 0).bound2)/2
lemma gradientDt_bound (j : ThirdJet f) (a b t x : ℝ) :
‖j.gradientDt a b t x‖≤j.gradientTimeBound a := by
unfold gradientDt
split_ifs
· simp only [norm_mul,Real.norm_eq_abs,abs_neg,abs_of_nonneg (by norm_num : (0:ℝ)≤1/2)]
have hp : |2*a*(fieldOnInterval f a b t).d1 x*(fieldOnInterval f a b t).d2 x|≤
2*|a| *(f.bound1:ℝ)*(f.transform a 0).bound2 := by
rw [abs_mul,abs_mul,abs_mul,abs_of_nonneg (by norm_num : (0:ℝ)≤2)]
gcongr <;> first | exact (fieldOnInterval f a b t).normD1 x | exact (fieldOnInterval f a b t).normD2 x
have hh := (abs_add_le _ _).trans (add_le_add (j.slabD3_bound a b t x) hp)
simp only [gradientTimeBound,NNReal.coe_div,NNReal.coe_add,NNReal.coe_mul,
NNReal.coe_ofNat,Real.coe_nnabs]
linarith
· simp
lemma measurable_gradientDt (j : ThirdJet f) (a b : ℝ) :
Measurable (uncurry (j.gradientDt a b)) :=
Measurable.ite (measurableSet_lt measurable_fst measurable_const)
(((j.continuous_slabD3 a b).add
(((continuous_fieldOnInterval_d1 f a b).const_mul (2*a)).mul
(continuous_fieldOnInterval_d2 f a b))).const_mul (-(1/2:ℝ))).measurable
measurable_const
lemma continuous_gradientDt (j : ThirdJet f) (a b t : ℝ) :
Continuous (j.gradientDt a b t) := by
unfold gradientDt
split_ifs
· exact (((j.continuous_slabD3 a b).comp (continuous_const.prodMk continuous_id)).add
(((fieldOnInterval f a b t).continuousD1.const_mul (2*a)).mul
(fieldOnInterval f a b t).continuousD2)).const_mul _
· exact continuous_const
lemma hasDerivAt_fieldOnInterval_dt (j : ThirdJet f) (a b t x : ℝ) :
HasDerivAt (fieldOnInterval_dt f a b t) (j.gradientDt a b t x) x := by
unfold fieldOnInterval_dt gradientDt
split_ifs
· convert (((j.transform a (Real.sqrt (b-t))).hasD3 x).add
(((fieldOnInterval f a b t).hasD2 x).pow 2 |>.const_mul a)).const_mul (-(1/2:ℝ)) using 1 <;>
first | rfl | (dsimp only [slabD3,transform]; ring)
· exact hasDerivAt_const x 0
lemma gradient_integral_time (j : ThirdJet f) (a b u v x : ℝ) :
∫ t in u..v,j.gradientDt a b t x=
(fieldOnInterval f a b v).d1 x-(fieldOnInterval f a b u).d1 x := by
have hd := intervalIntegral.hasDerivAt_integral_of_dominated_loc_of_deriv_le
(F := fun x t => fieldOnInterval_dt f a b t x)
(F' := fun x t => j.gradientDt a b t x) (x₀ := x)
(s := Set.univ) (bound := fun _ => (j.gradientTimeBound a:ℝ))
(μ := volume) (a := u) (b := v) (Filter.univ_mem)
(Eventually.of_forall fun x => ((measurable_fieldOnInterval_dt f a b).comp
(measurable_id.prodMk measurable_const)).aestronglyMeasurable)
(integrable_fieldOnInterval_dt f a b u v x)
(((j.measurable_gradientDt a b).comp (measurable_id.prodMk measurable_const)).aestronglyMeasurable)
(ae_of_all _ fun t _ x _ => j.gradientDt_bound a b t x)
intervalIntegrable_const
(ae_of_all _ fun t _ x _ => j.hasDerivAt_fieldOnInterval_dt a b t x)
have he : (fun x => ∫ t in u..v,fieldOnInterval_dt f a b t x)=
(fun x => (fieldOnInterval f a b v).val x-(fieldOnInterval f a b u).val x) :=
funext fun x => fieldOnInterval_integral_time f a b u v x
rw [he] at hd
exact hd.2.unique (((fieldOnInterval f a b v).hasD1 x).sub
((fieldOnInterval f a b u).hasD1 x))
def slabGradientTest (j : ThirdJet f) (a b : ℝ) : TimeQuadraticTest where
val := fun t x => (fieldOnInterval f a b t).d1 x
d1 := fun t x => (fieldOnInterval f a b t).d2 x
d2 := j.slabD3 a b
dt := j.gradientDt a b
hasD1 := fun t => (fieldOnInterval f a b t).hasD2
hasD2 := fun t => (j.transform a (Real.sqrt (b-t))).hasD3
continuousD2 := fun t => (j.transform a (Real.sqrt (b-t))).continuousD3
c1 := (f.transform a 0).bound2
c2 := (j.transform a 0).bound3
ct := j.gradientTimeBound a
bound1 := fun t x => by simpa only [Real.norm_eq_abs,fieldOnInterval,SmoothField.transform] using (fieldOnInterval f a b t).normD2 x
bound2 := fun t x => by simpa only [Real.norm_eq_abs] using j.slabD3_bound a b t x
boundT := j.gradientDt_bound a b
measT := j.measurable_gradientDt a b
continuousT := j.continuous_gradientDt a b
jointD1 := ae_of_all _ fun _ _ _ => (continuous_fieldOnInterval_d2 f a b).continuousAt
jointD2 := ae_of_all _ fun _ _ _ => (j.continuous_slabD3 a b).continuousAt
integralT := fun u _ v _ x => (j.gradient_integral_time a b u v x).symm
end ThirdJet
end ParisiFinite
open MeasureTheory ProbabilityTheory Filter Function Set
open scoped Topology NNReal
namespace ParisiFinite
open ParisiPath
namespace ThirdJet
variable {f : SmoothField}
lemma intervalIntegrable_gradientDt (j : ThirdJet f) (a b u v x : ℝ) :
IntervalIntegrable (fun t => j.gradientDt a b t x) volume u v := by
apply (intervalIntegrable_const (c := (j.gradientTimeBound a:ℝ))).mono_fun'
(((j.measurable_gradientDt a b).comp (show Measurable (fun u : ℝ => (u,x)) by fun_prop)).aestronglyMeasurable)
exact ae_of_all _ fun t => j.gradientDt_bound a b t x
lemma gradientDt_rightContinuous (j : ThirdJet f) (a b t x : ℝ) :
ContinuousWithinAt (fun u => j.gradientDt a b u x) (Ici t) t := by
by_cases ht : t<b
· apply ContinuousAt.continuousWithinAt
have hc := (((j.continuous_slabD3 a b).add
(((continuous_fieldOnInterval_d1 f a b).const_mul (2*a)).mul
(continuous_fieldOnInterval_d2 f a b))).const_mul (-(1/2:ℝ))).comp
(show Continuous (fun u : ℝ => (u,x)) by fun_prop)
apply hc.continuousAt.congr_of_eventuallyEq
filter_upwards [Iio_mem_nhds ht] with u hu
exact ite_eq_left hu
· have he : (fun u => j.gradientDt a b u x) =ᶠ[𝓝[Ici t] t] (fun _ => (0:ℝ)) := by
filter_upwards [self_mem_nhdsWithin] with u hu
exact ite_eq_right (not_lt.mpr ((le_of_not_gt ht).trans hu))
exact continuousWithinAt_const.congr_of_eventuallyEq he (he.self_of_nhdsWithin (by simp))
lemma hasDerivWithinAt_gradient_time (j : ThirdJet f) (a b t x : ℝ) :
HasDerivWithinAt (fun u => (fieldOnInterval f a b u).d1 x)
(j.gradientDt a b t x) (Ici t) t := by
have hm := ((j.measurable_gradientDt a b).comp
(show Measurable (fun u : ℝ => (u,x)) by fun_prop)).stronglyMeasurable.stronglyMeasurableAtFilter
(l := 𝓝[Ioi t] t) (μ := volume)
have hd := intervalIntegral.integral_hasDerivWithinAt_right
(s := Ici t) (t := Ioi t) (j.intervalIntegrable_gradientDt a b 0 t x) hm
((j.gradientDt_rightContinuous a b t x).mono Ioi_subset_Ici_self)
have he : (fun v => ∫ u in (0:ℝ)..v,j.gradientDt a b u x)=
(fun v => (fieldOnInterval f a b v).d1 x-(fieldOnInterval f a b 0).d1 x) :=
funext fun v => j.gradient_integral_time a b 0 v x
rw [he] at hd
simpa only [sub_add_cancel] using hd.add_const ((fieldOnInterval f a b 0).d1 x)
lemma gradient_square_integral_time (j : ThirdJet f) (a b u v x : ℝ) :
∫ t in u..v,2*(fieldOnInterval f a b t).d1 x*j.gradientDt a b t x=
((fieldOnInterval f a b v).d1 x)^2-((fieldOnInterval f a b u).d1 x)^2 := by
have hm := ((continuous_fieldOnInterval_d1 f a b).comp
(show Continuous (fun u : ℝ => (u,x)) by fun_prop))
apply intervalIntegral.integral_eq_sub_of_hasDeriv_right (hm.pow 2).continuousOn
· intro t _
have hd := (j.hasDerivWithinAt_gradient_time a b t x).pow 2
convert hd.mono (Ioi_subset_Ici_self) using 1 <;> first | rfl | norm_num
· apply (intervalIntegrable_const (c := 2*(f.bound1:ℝ)*(j.gradientTimeBound a:ℝ))).mono_fun'
((hm.measurable.const_mul 2).mul ((j.measurable_gradientDt a b).comp
(show Measurable (fun u : ℝ => (u,x)) by fun_prop))).aestronglyMeasurable
exact ae_of_all _ fun t => by
change ‖2*(fieldOnInterval f a b t).d1 x*j.gradientDt a b t x‖≤_
rw [norm_mul,norm_mul,Real.norm_eq_abs,abs_of_nonneg (by norm_num : (0:ℝ)≤2)]
change 2*‖(fieldOnInterval f a b t).d1 x‖*‖j.gradientDt a b t x‖≤
2*(f.bound1:ℝ)*(j.gradientTimeBound a:ℝ)
exact mul_le_mul (mul_le_mul_of_nonneg_left
(by simpa only [Real.norm_eq_abs,fieldOnInterval,SmoothField.transform] using (fieldOnInterval f a b t).normD1 x) zero_le_two)
(j.gradientDt_bound a b t x) (norm_nonneg _) (by positivity)
def squareGradientField (j : ThirdJet f) : SmoothField where
val := fun x => (f.d1 x)^2
d1 := fun x => 2*f.d1 x*f.d2 x
d2 := fun x => 2*(f.d2 x)^2+2*f.d1 x*j.d3 x
hasD1 := fun x => by
convert (f.hasD2 x).pow 2 using 1
first | rfl | norm_num
hasD2 := fun x => by
convert ((f.hasD2 x).const_mul 2).mul (j.hasD3 x) using 1
first | rfl | ring
continuousD2 := ((f.continuousD2.pow 2).const_mul 2).add
((f.continuousD1.const_mul 2).mul j.continuousD3)
bound1 := 2*f.bound1*f.bound2
bound2 := 2*f.bound2^2+2*f.bound1*j.bound3
normD1 := fun x => by
simp only [abs_mul,abs_of_nonneg (by norm_num : (0:ℝ)≤2),NNReal.coe_mul,NNReal.coe_ofNat]
gcongr <;> first | exact f.normD1 x | exact f.normD2 x
normD2 := fun x => by
apply (abs_add_le _ _).trans
simp only [abs_mul,abs_pow,abs_of_nonneg (by norm_num : (0:ℝ)≤2),NNReal.coe_mul,
NNReal.coe_add,NNReal.coe_ofNat,NNReal.coe_pow]
gcongr <;> first | exact f.normD1 x | exact f.normD2 x | exact j.normD3 x
def slabSquareGradientTest (j : ThirdJet f) (a b : ℝ) : TimeQuadraticTest where
val := fun t x => ((fieldOnInterval f a b t).d1 x)^2
d1 := fun t x => 2*(fieldOnInterval f a b t).d1 x*(fieldOnInterval f a b t).d2 x
d2 := fun t x => 2*((fieldOnInterval f a b t).d2 x)^2+
2*(fieldOnInterval f a b t).d1 x*j.slabD3 a b t x
dt := fun t x => 2*(fieldOnInterval f a b t).d1 x*j.gradientDt a b t x
hasD1 := fun t => (j.transform a (Real.sqrt (b-t))).squareGradientField.hasD1
hasD2 := fun t => (j.transform a (Real.sqrt (b-t))).squareGradientField.hasD2
continuousD2 := fun t => (j.transform a (Real.sqrt (b-t))).squareGradientField.continuousD2
c1 := (j.transform a 0).squareGradientField.bound1
c2 := (j.transform a 0).squareGradientField.bound2
ct := 2*f.bound1*j.gradientTimeBound a
bound1 := fun t x => by
simpa only [Real.norm_eq_abs,fieldOnInterval,squareGradientField,transform,SmoothField.transform]
using (j.transform a (Real.sqrt (b-t))).squareGradientField.normD1 x
bound2 := fun t x => by
simpa only [Real.norm_eq_abs,fieldOnInterval,squareGradientField,transform,SmoothField.transform,slabD3]
using (j.transform a (Real.sqrt (b-t))).squareGradientField.normD2 x
boundT := fun t x => by
rw [norm_mul,norm_mul,Real.norm_eq_abs,abs_of_nonneg (by norm_num : (0:ℝ)≤2)]
simp only [NNReal.coe_mul,NNReal.coe_ofNat]
gcongr
· exact (fieldOnInterval f a b t).normD1 x
· exact j.gradientDt_bound a b t x
measT := ((continuous_fieldOnInterval_d1 f a b).measurable.const_mul 2).mul
(j.measurable_gradientDt a b)
continuousT := fun t => ((fieldOnInterval f a b t).continuousD1.const_mul 2).mul
(j.continuous_gradientDt a b t)
jointD1 := ae_of_all _ fun _ _ _ =>
(((continuous_fieldOnInterval_d1 f a b).const_mul 2).mul
(continuous_fieldOnInterval_d2 f a b)).continuousAt
jointD2 := ae_of_all _ fun _ _ _ =>
((((continuous_fieldOnInterval_d2 f a b).pow 2).const_mul 2).add
(((continuous_fieldOnInterval_d1 f a b).const_mul 2).mul
(j.continuous_slabD3 a b))).continuousAt
integralT := fun u _ v _ x => (j.gradient_square_integral_time a b u v x).symm
end ThirdJet
end ParisiFinite
open MeasureTheory ProbabilityTheory Filter Function Set
open scoped Topology NNReal
namespace ParisiFinite
open ParisiPath
lemma SmoothField.d1_eq_of_val_eq {f g : SmoothField} (h : f.val=g.val) (x : ℝ) :
f.d1 x=g.d1 x := by
exact (h ▸ f.hasD1 x).unique (g.hasD1 x)
structure ScheduleGradientSquare (β : ℝ≥0) (hβ : 0<β) (ls : Schedule) (s : ℝ) where
test : TimeQuadraticTest
val_eq : ∀ t x,test.val t x=((finiteTimeField β hβ ls s t).d1 x)^2
d1_eq : ∀ t x,test.d1 t x=2*(finiteTimeField β hβ ls s t).d1 x*
(finiteTimeField β hβ ls s t).d2 x
cancel : ∀ t,s≤t → t<s+width ls → ∀ x z,
test.dt t x+test.d1 t x*z+test.d2 t x/2=
((finiteTimeField β hβ ls s t).d2 x)^2+
2*(finiteTimeField β hβ ls s t).d1 x*(finiteTimeField β hβ ls s t).d2 x*
(z-finiteTimeCoefficient ls s t*(finiteTimeField β hβ ls s t).d1 x)
def scheduleGradientSquare (β : ℝ≥0) (hβ : 0<β) (ls : Schedule)
(s : ℝ) (hs : 0 ≤ s) (he : s+width ls≤1) : ScheduleGradientSquare β hβ ls s := by
induction ls generalizing s with
| nil =>
refine ⟨(terminalThird β hβ).squareGradientField.staticTimeTest,
fun _ _ => rfl,fun _ _ => rfl,?_⟩
intro t ht ht'
simp only [width,List.map_nil,List.sum_nil,add_zero] at ht'
exact False.elim (not_lt_of_ge ht ht')
| cons l ls ih =>
rcases l with ⟨a,d⟩
let c : ℝ := s+d
have hc0 : 0≤c := add_nonneg hs d.coe_nonneg
have hend : c+width ls≤1 := by
dsimp only [c]
rw [width_cons] at he
linarith
have hc1 : c≤1 := by linarith [schedule_width_nonneg ls]
let tail := ih c hc0 hend
let slab := (recursionThird β hβ ls).slabSquareGradientTest a c
have hval : (fieldOnInterval (smoothRecursion β hβ ls) a c c).val=
(finiteTimeField β hβ ls c c).val := by
funext x
rw [fieldOnInterval_right,finiteTimeField_start,smoothRecursion_val]
have hmatch (x : ℝ) : slab.val c x=tail.test.val c x := by
change ((fieldOnInterval (smoothRecursion β hβ ls) a c c).d1 x)^2=tail.test.val c x
rw [tail.val_eq,SmoothField.d1_eq_of_val_eq hval]
refine ⟨slab.glue tail.test c ⟨hc0,hc1⟩ hmatch,?_,?_,?_⟩
· intro t x
simp only [TimeQuadraticTest.glue,TimeQuadraticTest.splice,finiteTimeField,
ThirdJet.slabSquareGradientTest,slab,c]
split_ifs
· rfl
· exact tail.val_eq t x
· intro t x
simp only [TimeQuadraticTest.glue,TimeQuadraticTest.splice,finiteTimeField,
ThirdJet.slabSquareGradientTest,slab,c]
split_ifs
· rfl
· exact tail.d1_eq t x
· intro t ht ht' x z
simp only [TimeQuadraticTest.glue,TimeQuadraticTest.splice,finiteTimeField,
finiteTimeCoefficient,ThirdJet.slabSquareGradientTest,slab,c]
split_ifs with hcut
· rw [ThirdJet.gradientDt,ite_eq_left hcut]
ring
· exact tail.cancel t (le_of_not_gt hcut) (by rw [width_cons] at ht';dsimp only [c];linarith) x z
lemma finiteTimeField_d1_start (β : ℝ≥0) (hβ : 0<β) (ls : Schedule) (s x : ℝ) :
(finiteTimeField β hβ ls s s).d1 x=(smoothRecursion β hβ ls).d1 x :=
SmoothField.d1_eq_of_val_eq (funext fun x =>
(finiteTimeField_start β hβ ls s x).trans (congrFun (smoothRecursion_val β hβ ls) x).symm) x
lemma finiteTimeField_d1_after (β : ℝ≥0) (hβ : 0<β) (ls : Schedule) (s t x : ℝ)
(ht : s+width ls≤t) : (finiteTimeField β hβ ls s t).d1 x=(terminalField β hβ).d1 x :=
SmoothField.d1_eq_of_val_eq (funext fun x => finiteTimeField_after β hβ ls s t x ht) x
end ParisiFinite
open MeasureTheory ProbabilityTheory Filter Function Set
open scoped Topology NNReal
namespace ParisiFinite
lemma scheduleSuffix_ordered {β a : ℝ} {ls : Schedule}
(h : ParisiGuerra.OrderedFrom β a ls) (r : ℝ≥0) :
ParisiGuerra.OrderedFrom β a (scheduleSuffix ls r) := by
induction ls generalizing a r with
| nil => exact h
| cons l ls ih =>
simp only [scheduleSuffix]
split_ifs
· exact h
· exact ordered_lower h.1 (ih h.2 _)
lemma SmoothField.d2_eq_of_val_eq {f g : SmoothField} (h : f.val=g.val) (x : ℝ) :
f.d2 x=g.d2 x := by
have hd : f.d1=g.d1 := funext (SmoothField.d1_eq_of_val_eq h)
exact (hd ▸ f.hasD2 x).unique (g.hasD2 x)
lemma finiteTimeField_suffix_d2 (β : ℝ≥0) (hβ : 0<β) (ls : Schedule)
(s : ℝ) (r : ℝ≥0) :
(finiteTimeField β hβ ls s (s+r)).d2=(smoothRecursion β hβ (scheduleSuffix ls r)).d2 := by
apply funext
exact SmoothField.d2_eq_of_val_eq (funext fun x =>
(finiteTimeField_suffix_val β hβ ls s r x).trans (congrFun (smoothRecursion_val β hβ _) x).symm)
lemma finiteTimeField_curvature_lipschitz (β : ℝ≥0) (hβ : 0<β) (ls : Schedule)
(h : ParisiGuerra.OrderedFrom β 0 ls) (s : ℝ) (r : ℝ≥0) :
LipschitzWith (5*β^2) (finiteTimeField β hβ ls s (s+r)).d2 := by
rw [finiteTimeField_suffix_d2]
exact recursion_curvature_lipschitz β hβ _ (scheduleSuffix_ordered h r)
lemma global_dyadic_curvature_tendstoUniformly (β : ℝ≥0) (hβ : 0<β) {γ : ℝ≥0 → ℝ≥0}
(hγ : Monotone γ) (hb : ∀ t,γ t≤β) (r : ℝ≥0) (hr : r<1) :
TendstoUniformly (fun n => (finiteTimeField β hβ (dyadicSchedule γ false 0 1 n) 0 r).d2)
(fieldCurvature β γ r) atTop := by
have hl (n : ℕ) : LipschitzWith (5*β^2)
(finiteTimeField β hβ (dyadicSchedule γ false 0 1 n) 0 r).d2 := by
simpa only [zero_add] using finiteTimeField_curvature_lipschitz β hβ _
(ordered_lower (γ 0).coe_nonneg (ordered_upper
(show (γ (0+1):ℝ)≤β by exact_mod_cast hb _) (dyadicSchedule_ordered hγ false 0 1 n))) 0 r
obtain ⟨g,hu,hd,hg⟩ := exists_uniform_derivative_lipschitz_limit
(fun n => (finiteTimeField β hβ (dyadicSchedule γ false 0 1 n) 0 r).hasD2) hl
(global_dyadic_gradient_tendstoUniformly β hβ hγ hb r hr)
have he : g=fieldCurvature β γ r := funext (fun x => (hd x).deriv.symm)
rwa [he] at hu
end ParisiFinite
open MeasureTheory ProbabilityTheory Filter Function Set
open scoped Topology NNReal
namespace ParisiPath
variable {K M : ℝ≥0} {Ω : Type*} [MeasurableSpace Ω] {P : Measure Ω} {W : ℝ≥0 → Ω → ℝ}
lemma generatorC2_bound (f : QuadraticTest) (b : Drift K M) (t x : ℝ) :
‖generatorC2 f b t x‖ ≤ (f.c1:ℝ)*(M:ℝ)+(f.c2:ℝ)/2 := by
exact le_of_tendsto (mollify_generator_tendsto b f t x).norm
(Eventually.of_forall fun n => generator_bound _ b t x)
lemma generatorC2_integrable (hW : IsBrownianReal W P) (b : Drift K M)
(f : QuadraticTest) (t : ℝ) :
Integrable (fun ω => generatorC2 f b t (extend (solution b (brownianPath W ω)) t)) P := by
let : IsProbabilityMeasure P := (hW.hasLaw_eval 0).isProbabilityMeasure
have hX := aemeasurable_solution_eval b (brownianPath W) (brownianPath_aemeasurable_eval hW)
(projIcc 0 1 zero_le_one t)
apply Integrable.of_bound (C := (f.c1:ℝ)*(M:ℝ)+(f.c2:ℝ)/2)
· exact (((f.continuous_d1.mul (b.lipschitz t).continuous).add
(continuous_const.mul f.continuousD2)).measurable.comp_aemeasurable hX).aestronglyMeasurable
· exact ae_of_all _ fun ω => generatorC2_bound f b t _
lemma timeDerivativeC2_integrable_inner (hW : IsBrownianReal W P) (b : Drift K M)
(f : TimeQuadraticTest) (t : ℝ) :
Integrable (fun ω => f.dt t (extend (solution b (brownianPath W ω)) t)) P := by
let : IsProbabilityMeasure P := (hW.hasLaw_eval 0).isProbabilityMeasure
have hX := aemeasurable_solution_eval b (brownianPath W) (brownianPath_aemeasurable_eval hW)
(projIcc 0 1 zero_le_one t)
exact Integrable.of_bound ((f.continuousT t).measurable.comp_aemeasurable hX).aestronglyMeasurable
(C := f.ct) (ae_of_all _ fun ω => f.boundT t _)
lemma timeGeneratorC2_aestronglyMeasurable (hW : IsBrownianReal W P)
(b : Drift K M) (f : TimeQuadraticTest)
(hc : ∀ᵐ t ∂volume,t ∈ Icc (0:ℝ) 1 → ∀ x,ContinuousAt (uncurry b.val) (t,x)) :
AEStronglyMeasurable (timeGeneratorC2 P W b f) (volume.restrict (Ioc (0:ℝ) 1)) := by
exact aestronglyMeasurable_of_tendsto_ae atTop
(fun n => timeGenerator_aestronglyMeasurable hW b (f.mollify (shrinkingBump n)) hc)
(ae_of_all _ fun t => mollify_timeGenerator_tendsto hW b f t)
lemma timeDerivativeC2_aestronglyMeasurable (hW : IsBrownianReal W P)
(b : Drift K M) (f : TimeQuadraticTest)
(hc : ∀ᵐ t ∂volume,t ∈ Icc (0:ℝ) 1 → ∀ x,ContinuousAt (uncurry b.val) (t,x)) :
AEStronglyMeasurable (timeDerivativeC2 P W b f) (volume.restrict (Ioc (0:ℝ) 1)) := by
exact aestronglyMeasurable_of_tendsto_ae atTop
(fun n => timeDerivative_aestronglyMeasurable hW b (f.mollify (shrinkingBump n)) hc)
(ae_of_all _ fun t => mollify_timeDerivative_tendsto hW b f t)
lemma timeGeneratorC2_intervalIntegrable (hW : IsBrownianReal W P)
(b : Drift K M) (f : TimeQuadraticTest)
(hc : ∀ᵐ t ∂volume,t ∈ Icc (0:ℝ) 1 → ∀ x,ContinuousAt (uncurry b.val) (t,x)) :
IntervalIntegrable (timeGeneratorC2 P W b f) volume 0 1 := by
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le zero_le_one]
apply Integrable.of_bound (timeGeneratorC2_aestronglyMeasurable hW b f hc)
(C := (f.c1:ℝ)*(M:ℝ)+(f.c2:ℝ)/2)
exact ae_of_all _ fun t => le_of_tendsto (mollify_timeGenerator_tendsto hW b f t).norm
(Eventually.of_forall fun n => expectedGenerator_bound hW b ((f.mollify (shrinkingBump n)).slice t) t)
lemma timeDerivativeC2_intervalIntegrable (hW : IsBrownianReal W P)
(b : Drift K M) (f : TimeQuadraticTest)
(hc : ∀ᵐ t ∂volume,t ∈ Icc (0:ℝ) 1 → ∀ x,ContinuousAt (uncurry b.val) (t,x)) :
IntervalIntegrable (timeDerivativeC2 P W b f) volume 0 1 := by
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le zero_le_one]
apply Integrable.of_bound (timeDerivativeC2_aestronglyMeasurable hW b f hc) (C := f.ct)
exact ae_of_all _ fun t => le_of_tendsto (mollify_timeDerivative_tendsto hW b f t).norm
(Eventually.of_forall fun n => timeDerivative_bound hW b (f.mollify (shrinkingBump n)) t)
end ParisiPath
namespace ParisiFinite
open ParisiPath
variable {K M : ℝ≥0} {Ω : Type*} [MeasurableSpace Ω] {P : Measure Ω} {W : ℝ≥0 → Ω → ℝ}
theorem finite_schedule_verification (hW : IsBrownianReal W P)
(b : Drift K M)
(hc : ∀ᵐ t ∂volume,t ∈ Icc (0:ℝ) 1 → ∀ x,ContinuousAt (uncurry b.val) (t,x))
(β : ℝ≥0) (hβ : 0 < β) (ls : Schedule) (hw : width ls = 1) :
(∫ ω,terminal β (solution b (brownianPath W ω) ⟨1,by simp⟩) ∂P)-recursion β ls 0 =
∫ t in (0:ℝ)..1,∫ ω,
(finiteTimeField β hβ ls 0 t).d1 (extend (solution b (brownianPath W ω)) t) *
b.val t (extend (solution b (brownianPath W ω)) t) -
(finiteTimeCoefficient ls 0 t)/2 *
((finiteTimeField β hβ ls 0 t).d1 (extend (solution b (brownianPath W ω)) t))^2 ∂P := by
let r := scheduleTimeRealization β hβ ls 0 le_rfl (by rw [hw]; norm_num)
have hh := brownian_solution_time_generator_identity_C2 hW b r.test hc
have hj := timeGeneratorC2_intervalIntegrable hW b r.test hc
have ht := timeDerivativeC2_intervalIntegrable hW b r.test hc
have h1 (x : ℝ) : r.test.val 1 x = terminal β x := by
rw [r.val_eq,finiteTimeField_after β hβ ls 0 1 x (by rw [hw]; norm_num)]
have h0 : r.test.val 0 0 = recursion β ls 0 := by rw [r.val_eq,finiteTimeField_start]
simp_rw [h1,h0] at hh
rw [hh,←intervalIntegral.integral_add hj ht]
apply intervalIntegral.integral_congr_Ioo_of_le zero_le_one
intro t ht
change (∫ ω,generatorC2 (r.test.slice t) b t (extend (solution b (brownianPath W ω)) t) ∂P)+
(∫ ω,r.test.dt t (extend (solution b (brownianPath W ω)) t) ∂P)=_
rw [←integral_add (generatorC2_integrable hW b _ t) (timeDerivativeC2_integrable_inner hW b r.test t)]
apply integral_congr_ae
filter_upwards [] with ω
simp only [generatorC2,TimeQuadraticTest.slice,r.d1_eq,r.d2_eq,r.dt_eq]
rw [finiteTimeField_PDE β hβ ls 0 t _ ht.1.le (by simpa only [hw,zero_add] using ht.2)]
ring
end ParisiFinite
end
end OAI