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Add lean source and binary files (part 19)
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import Mathlib
import OAI.Analysis.HardSphere.Paths.Index
namespace OAI
section
noncomputable section
open MeasureTheory ProbabilityTheory Set Filter
open scoped ENNReal BigOperators Topology
namespace HardSphere.DyadicSkeleton
lemma weighted_gap_concentration (t k : ℕ) (hk : 0 < k)
(y : Fin 2 → ℝ) (R : ℝ) (hR : 0 ≤ R) (H : Noise → ℝ≥0∞)
(hH : Measurable H) (hinv : PastInvariant t H) :
(∫⁻ ω, H ω * nearTest (t+k) y R ω ∂law) ≤
ENNReal.ofReal ((16*R^2/cvel^2) * (k:ℝ)^(-(3:ℝ)/2)) *
∫⁻ ω, H ω ∂law := by
obtain ⟨ℓ,b,ht,hf,hkℓ⟩ := exists_fresh_block t k hk
refine (fresh_weighted_pair ℓ b (t+k) hf y R H hH
(fun j ↦ hinv j ℓ b ht)).trans ?_
apply mul_le_mul_left
rw [← ENNReal.ofReal_pow (div_nonneg hR (freshScale_pos ℓ).le)]
exact ENNReal.ofReal_le_ofReal (freshScale_gap_bound k ℓ hk hkℓ R)
def timeGaps : {n : ℕ} → (Fin n → ℕ) → Fin n → ℕ
| 0, _ => Fin.elim0
| _+1, t => Fin.cases (t 0) (fun i ↦ t i.succ - t i.castSucc)
@[simp] lemma timeGaps_zero {n : ℕ} (t : Fin (n+1) → ℕ) : timeGaps t 0 = t 0 := rfl
@[simp] lemma timeGaps_succ {n : ℕ} (t : Fin (n+1) → ℕ) (i : Fin n) :
timeGaps t i.succ = t i.succ - t i.castSucc := rfl
lemma timeGaps_castSucc {n : ℕ} (t : Fin (n+1) → ℕ) (i : Fin n) :
timeGaps t i.castSucc = timeGaps (Fin.init t) i := by
cases n with
| zero => exact Fin.elim0 i
| succ n => exact Fin.cases rfl (fun _ ↦ rfl) i
lemma timeGaps_injective {n : ℕ} :
Function.Injective (fun t : {t : Fin n → ℕ // Monotone t} ↦ timeGaps t.val) := by
intro t s h
apply Subtype.ext
funext i
cases n with
| zero => exact Fin.elim0 i
| succ n =>
refine Fin.induction ?_ (fun j ih ↦ ?_) i
· exact congrFun h 0
· have he := congrFun h j.succ
simp only [timeGaps_succ] at he
have ht := t.property (Fin.castSucc_le_succ j)
have hs := s.property (Fin.castSucc_le_succ j)
omega
def splitVectorEquiv (n : ℕ) (A : Type*) : (Fin (n+1) → A) ≃ A × (Fin n → A) where
toFun f := (f 0, fun i ↦ f i.succ)
invFun v := Fin.cases v.1 v.2
left_inv f := by funext i; exact Fin.cases rfl (fun _ ↦ rfl) i
right_inv v := rfl
lemma tsum_vector_prod {n : ℕ} (f : Fin n → ℕ → ℝ≥0∞) :
(∑' g : Fin n → ℕ, ∏ i, f i (g i)) = ∏ i, ∑' k, f i k := by
induction n with
| zero => simp
| succ n ih =>
rw [← (splitVectorEquiv n ℕ).symm.tsum_eq]
change (∑' v : ℕ × (Fin n → ℕ), ∏ i, f i (Fin.cases v.1 v.2 i)) = _
rw [ENNReal.tsum_prod']
simp only [Fin.prod_univ_succ, Fin.cases_zero, Fin.cases_succ]
simp_rw [ENNReal.tsum_mul_left, ih]
rw [ENNReal.tsum_mul_right]
lemma ordered_gap_sum_bound (T n : ℕ) (b : ℕ → ℝ≥0∞) :
(∑' t : {t : Fin n → ℕ // StrictMono t ∧ ∀ i, t i ≤ T}, ∏ i, b (timeGaps t.val i)) ≤
(∑' k, b k)^n := by
let g : {t : Fin n → ℕ // StrictMono t ∧ ∀ i, t i ≤ T} → (Fin n → ℕ) :=
fun t ↦ timeGaps t.val
have hg : Function.Injective g := by
intro t s he
have hv := timeGaps_injective (a₁ := ⟨t.val,t.property.1.monotone⟩)
(a₂ := ⟨s.val,s.property.1.monotone⟩) he
exact Subtype.ext (congrArg (fun q : {f : Fin n → ℕ // Monotone f} ↦ q.val) hv)
have h := ENNReal.tsum_comp_le_tsum_of_injective hg (fun v : Fin n → ℕ ↦ ∏ i, b (v i))
simpa only [g, tsum_vector_prod, Finset.prod_const, Finset.card_univ, Fintype.card_fin] using h
abbrev BoundedTimes (T n : ℕ) := {t : Fin n → ℕ // StrictMono t ∧ ∀ i, t i ≤ T}
abbrev TimeSubset (T : ℕ) := {s : Finset ℕ // s ∈ (Finset.range (T+1)).powerset}
def encodeTimeSubset (T : ℕ) (s : TimeSubset T) : Σ n, BoundedTimes T n :=
⟨s.val.card, ⟨s.val.orderEmbOfFin rfl, (s.val.orderEmbOfFin rfl).strictMono,
fun i ↦ by
have h := (Finset.mem_powerset.mp s.property) (s.val.orderEmbOfFin_mem rfl i)
exact Nat.le_of_lt_succ (Finset.mem_range.mp h)⟩⟩
def decodeTimes {T : ℕ} (v : Σ n, BoundedTimes T n) : Finset ℕ :=
Finset.univ.image v.2.val
lemma decode_encode (T : ℕ) (s : TimeSubset T) : decodeTimes (encodeTimeSubset T s) = s.val := by
exact s.val.image_orderEmbOfFin_univ rfl
lemma encodeTimeSubset_injective (T : ℕ) : Function.Injective (encodeTimeSubset T) := by
intro s t h
apply Subtype.ext
simpa only [decode_encode] using congrArg decodeTimes h
lemma prod_encode (T : ℕ) (s : TimeSubset T) (f : ℕ → ℝ≥0∞) :
(∏ i, f ((encodeTimeSubset T s).2.val i)) = ∏ u ∈ s.val, f u := by
change (∏ i, f (s.val.orderEmbOfFin rfl i)) = _
conv_rhs => rw [← s.val.map_orderEmbOfFin_univ rfl, Finset.prod_map]
rfl
lemma prod_one_add_le_ordered_series (T : ℕ) (f : ℕ → ℝ≥0∞) :
(∏ u ∈ Finset.range (T+1), (1+f u)) ≤
∑' n, ∑' t : BoundedTimes T n, ∏ i, f (t.val i) := by
rw [Finset.prod_one_add]
calc
_ = ∑' s : TimeSubset T, ∏ u ∈ s.val, f u := by
rw [tsum_fintype]
exact (Finset.sum_attach _ _).symm
_ = ∑' s : TimeSubset T, ∏ i, f ((encodeTimeSubset T s).2.val i) := by
apply tsum_congr
intro s
exact (prod_encode T s f).symm
_ ≤ ∑' v : Σ n, BoundedTimes T n, ∏ i, f (v.2.val i) :=
ENNReal.tsum_comp_le_tsum_of_injective (encodeTimeSubset_injective T)
(fun v : Σ n, BoundedTimes T n ↦ ∏ i, f (v.2.val i))
_ = _ := ENNReal.tsum_sigma' _
def gapKernel (k : ℕ) : ℝ≥0∞ :=
if k=0 then 1 else ENNReal.ofReal ((16/cvel^2) * (k:ℝ)^(-(3:ℝ)/2))
def radiusFactor (R : ℝ) : ℝ≥0∞ := ENNReal.ofReal ((1+R)^2)
lemma radiusFactor_one_le (R : ℝ) (hR : 0 ≤ R) : 1 ≤ radiusFactor R := by
rw [← ENNReal.ofReal_one]
apply ENNReal.ofReal_le_ofReal
nlinarith
lemma weighted_gap_radius (t k : ℕ) (hk : 0 < k)
(y : Fin 2 → ℝ) (R : ℝ) (hR : 0 ≤ R) (H : Noise → ℝ≥0∞)
(hH : Measurable H) (hinv : PastInvariant t H) :
(∫⁻ ω, H ω * nearTest (t+k) y R ω ∂law) ≤
radiusFactor R * gapKernel k * ∫⁻ ω, H ω ∂law := by
refine (weighted_gap_concentration t k hk y R hR H hH hinv).trans ?_
apply mul_le_mul_left
rw [gapKernel,ite_eq_right (ne_of_gt hk),radiusFactor,
← ENNReal.ofReal_mul (sq_nonneg (1+R))]
apply ENNReal.ofReal_le_ofReal
have hp : 0 ≤ (16/cvel^2) * (k:ℝ)^(-(3:ℝ)/2) := by positivity
calc
_ = R^2 * ((16/cvel^2) * (k:ℝ)^(-(3:ℝ)/2)) := by ring
_ ≤ _ := mul_le_mul_of_nonneg_right (by nlinarith) hp
def encounterMass {n : ℕ} (t : Fin n → ℕ) (r : Fin n → ℝ)
(y : ℕ → Fin 2 → ℝ) : ℝ≥0∞ :=
∫⁻ ω, ∏ i, nearTest (t i) (y (t i)) (r i) ω ∂law
lemma encounter_append_bound (u s : ℕ) (hus : u < s)
{n : ℕ} (t : Fin n → ℕ) (r : Fin n → ℝ) (y : ℕ → Fin 2 → ℝ)
(ht : ∀ i, t i ≤ u) (R : ℝ) (hR : 0 ≤ R) :
encounterMass (Fin.snoc t s) (Fin.snoc r R) y ≤
radiusFactor R * gapKernel (s-u) * encounterMass t r y := by
have h := weighted_gap_radius u (s-u) (by omega) (y s) R hR
(fun ω ↦ ∏ i, nearTest (t i) (y (t i)) (r i) ω) (by fun_prop) (by
intro j ℓ b hb ω x
apply Finset.prod_congr rfl
intro i _
exact nearTest_pastInvariant (t i) u (ht i) (y (t i)) (r i) j ℓ b hb ω x)
rw [Nat.add_sub_of_le hus.le] at h
simpa only [encounterMass,Fin.prod_univ_castSucc,Fin.snoc_castSucc,Fin.snoc_last] using h
lemma encounter_singleton_bound (s : ℕ) (R : ℝ) (hR : 0 ≤ R) (y : ℕ → Fin 2 → ℝ) :
encounterMass (fun _ : Fin 1 ↦ s) (fun _ ↦ R) y ≤ radiusFactor R * gapKernel s := by
by_cases h0 : s=0
· subst s
refine le_trans ?_ (by simpa [gapKernel] using radiusFactor_one_le R hR)
calc
_ ≤ ∫⁻ _ : Noise, 1 ∂law := by
apply lintegral_mono
intro ω
simpa only [Fin.prod_univ_one] using nearTest_le_one 0 (y 0) R ω
_ = 1 := by simp
· have h := weighted_gap_radius 0 s (by omega) (y s) R hR
(fun _ ↦ 1) measurable_const (by intro j ℓ b hb ω x; rfl)
simpa [encounterMass,Fin.prod_univ_one] using h
lemma encounterMass_le_gap_prod (n : ℕ) (t : Fin n → ℕ) (r : Fin n → ℝ)
(y : ℕ → Fin 2 → ℝ) (ht : StrictMono t) (hr : ∀ i, 0 ≤ r i) :
encounterMass t r y ≤ ∏ i, radiusFactor (r i) * gapKernel (timeGaps t i) := by
induction n with
| zero => simp [encounterMass]
| succ n ih =>
cases n with
| zero =>
have h := encounter_singleton_bound (t 0) (r 0) (hr 0) y
have he : (fun _ : Fin 1 ↦ t 0) = t := by
funext i; exact congrArg t (Fin.ext (by omega))
have hl : (fun _ : Fin 1 ↦ r 0) = r := by
funext i; exact congrArg r (Fin.ext (by omega))
rw [he, hl] at h
rw [Fin.prod_univ_one, timeGaps_zero]
exact h
| succ n =>
have hin : StrictMono (Fin.init t) := ht.comp (Fin.strictMono_castSucc)
have hb := ih (Fin.init t) (Fin.init r) hin (fun i ↦ hr i.castSucc)
have hlt : t (Fin.last n).castSucc < t (Fin.last (n+1)) := ht (by simp)
have ha := encounter_append_bound (t (Fin.last n).castSucc) (t (Fin.last (n+1)))
hlt (Fin.init t) (Fin.init r) y
(fun i ↦ ht.monotone (by exact_mod_cast Fin.le_last i))
(r (Fin.last (n+1))) (hr _)
rw [Fin.snoc_init_self, Fin.snoc_init_self] at ha
refine ha.trans ?_
rw [Fin.prod_univ_castSucc]
calc
_ ≤ radiusFactor (r (Fin.last (n+1))) *
gapKernel (t (Fin.last (n+1))-t (Fin.last n).castSucc) *
∏ i, radiusFactor (Fin.init r i) * gapKernel (timeGaps (Fin.init t) i) :=
mul_le_mul' le_rfl hb
_ = _ := by
simp_rw [timeGaps_castSucc]
change _ = _ * (radiusFactor (r (Fin.last (n+1))) *
gapKernel (t (Fin.last (n+1))-t (Fin.last n).castSucc))
exact mul_comm _ _
lemma gapKernel_sum_ne_top : (∑' k, gapKernel k) ≠ ∞ := by
have hs : Summable (fun k : ℕ ↦ (16/cvel^2) * (k:ℝ)^(-(3:ℝ)/2)) :=
(Real.summable_nat_rpow.mpr (by norm_num)).mul_left _
have he : (∑' k : ℕ, ENNReal.ofReal ((16/cvel^2) * (k:ℝ)^(-(3:ℝ)/2))) =
ENNReal.ofReal (∑' k : ℕ, (16/cvel^2) * (k:ℝ)^(-(3:ℝ)/2)) :=
(ENNReal.ofReal_tsum_of_nonneg (fun _ ↦ by positivity) hs).symm
have hb : (∑' k, gapKernel k) ≤
1 + ∑' k : ℕ, ENNReal.ofReal ((16/cvel^2) * (k:ℝ)^(-(3:ℝ)/2)) := by
calc
_ ≤ (∑' k : ℕ, ((if k=0 then 1 else 0) +
ENNReal.ofReal ((16/cvel^2) * (k:ℝ)^(-(3:ℝ)/2)))) := by
apply ENNReal.tsum_le_tsum
intro k
by_cases h : k=0 <;> simp [gapKernel,h]
_ = _ := by rw [ENNReal.tsum_add]; simp
rw [he] at hb
exact ne_top_of_le_ne_top (by finiteness) hb
lemma gapKernel_sum_one_le : (1 : ℝ≥0∞) ≤ ∑' k, gapKernel k := by
simpa only [gapKernel,↓reduceIte] using ENNReal.le_tsum (f := gapKernel) 0
def orderedEncounterConstant : ℝ := (∑' k, gapKernel k).toReal
lemma orderedEncounterConstant_pos : 0 < orderedEncounterConstant := by
exact ENNReal.toReal_pos (ne_of_gt (lt_of_lt_of_le (by norm_num) gapKernel_sum_one_le))
gapKernel_sum_ne_top
lemma orderedEncounterConstant_cast : ENNReal.ofReal orderedEncounterConstant = ∑' k, gapKernel k :=
ENNReal.ofReal_toReal gapKernel_sum_ne_top
lemma ordered_encounter_sum (T n : ℕ) (r : Fin n → ℝ) (hr : ∀ i, 0 ≤ r i)
(y : ℕ → Fin 2 → ℝ) :
(∑' t : BoundedTimes T n, encounterMass t.val r y) ≤
∏ i, ENNReal.ofReal orderedEncounterConstant * radiusFactor (r i) := by
calc
_ ≤ ∑' t : BoundedTimes T n, ∏ i, radiusFactor (r i) * gapKernel (timeGaps t.val i) :=
ENNReal.tsum_le_tsum fun t ↦ encounterMass_le_gap_prod n t.val r y t.property.1 hr
_ = (∏ i, radiusFactor (r i)) *
∑' t : BoundedTimes T n, ∏ i, gapKernel (timeGaps t.val i) := by
simp_rw [Finset.prod_mul_distrib,ENNReal.tsum_mul_left]
_ ≤ (∏ i, radiusFactor (r i)) * (∑' k, gapKernel k)^n :=
mul_le_mul' le_rfl (ordered_gap_sum_bound T n gapKernel)
_ = _ := by
rw [Finset.prod_mul_distrib,orderedEncounterConstant_cast]
simp [mul_comm]
def radiusEnvelope (a : ℕ → ℝ≥0∞) (n : ℕ) (y : Fin 2 → ℝ) (ω : Noise) : ℝ≥0∞ :=
∑' l : ℕ, a l * nearTest n y (l:ℝ) ω
@[fun_prop] lemma measurable_radiusEnvelope (a : ℕ → ℝ≥0∞) (n : ℕ) (y : Fin 2 → ℝ) :
Measurable (radiusEnvelope a n y) := by
unfold radiusEnvelope
exact Measurable.tsum (fun l ↦ (measurable_nearTest n y (l:ℝ)).const_mul _)
lemma radiusEnvelope_prod {n : ℕ} (t : Fin n → ℕ) (a : ℕ → ℝ≥0∞)
(y : ℕ → Fin 2 → ℝ) (ω : Noise) :
(∏ i, radiusEnvelope a (t i) (y (t i)) ω) =
∑' l : Fin n → ℕ, (∏ i, a (l i)) * ∏ i, nearTest (t i) (y (t i)) (l i : ℝ) ω := by
unfold radiusEnvelope
rw [← tsum_vector_prod]
apply tsum_congr
intro l
exact Finset.prod_mul_distrib
def weightedEncounterMass {n : ℕ} (t : Fin n → ℕ) (a : ℕ → ℝ≥0∞)
(y : ℕ → Fin 2 → ℝ) : ℝ≥0∞ :=
∫⁻ ω, ∏ i, radiusEnvelope a (t i) (y (t i)) ω ∂law
lemma weightedEncounterMass_eq {n : ℕ} (t : Fin n → ℕ) (a : ℕ → ℝ≥0∞)
(y : ℕ → Fin 2 → ℝ) :
weightedEncounterMass t a y =
∑' l : Fin n → ℕ, (∏ i, a (l i)) * encounterMass t (fun i ↦ (l i : ℝ)) y := by
unfold weightedEncounterMass
simp_rw [radiusEnvelope_prod]
rw [lintegral_tsum (fun l ↦ by fun_prop)]
apply tsum_congr
intro l
exact lintegral_const_mul _ (by fun_prop)
def radiusActivity (a : ℕ → ℝ≥0∞) : ℝ≥0∞ :=
ENNReal.ofReal orderedEncounterConstant * ∑' l : ℕ, a l * radiusFactor (l:ℝ)
lemma weighted_ordered_sum_bound (T n : ℕ) (a : ℕ → ℝ≥0∞)
(y : ℕ → Fin 2 → ℝ) :
(∑' t : BoundedTimes T n, weightedEncounterMass t.val a y) ≤ (radiusActivity a)^n := by
simp_rw [weightedEncounterMass_eq]
rw [ENNReal.tsum_comm]
calc
_ = ∑' l : Fin n → ℕ, (∏ i, a (l i)) *
∑' t : BoundedTimes T n, encounterMass t.val (fun i ↦ (l i : ℝ)) y := by
apply tsum_congr
intro l
rw [ENNReal.tsum_mul_left]
_ ≤ ∑' l : Fin n → ℕ, (∏ i, a (l i)) *
∏ i, ENNReal.ofReal orderedEncounterConstant * radiusFactor (l i : ℝ) :=
ENNReal.tsum_le_tsum fun l ↦ mul_le_mul' le_rfl
(ordered_encounter_sum T n (fun i ↦ (l i : ℝ)) (fun i ↦ Nat.cast_nonneg _) y)
_ = ∑' l : Fin n → ℕ, ∏ i,
ENNReal.ofReal orderedEncounterConstant * (a (l i) * radiusFactor (l i : ℝ)) := by
apply tsum_congr
intro l
rw [← Finset.prod_mul_distrib]
apply Finset.prod_congr rfl
intro i _
ring
_ = _ := by
rw [tsum_vector_prod (fun (_ : Fin n) k ↦
ENNReal.ofReal orderedEncounterConstant * (a k * radiusFactor (k:ℝ)))]
simp only [ENNReal.tsum_mul_left,radiusActivity,Finset.prod_const,
Finset.card_univ,Fintype.card_fin]
lemma ordered_product_bound_envelope (T : ℕ) (a : ℕ → ℝ≥0∞)
(y : ℕ → Fin 2 → ℝ) :
(∫⁻ ω, ∏ u ∈ Finset.range (T+1), (1+radiusEnvelope a u (y u) ω) ∂law) ≤
(1-radiusActivity a)⁻¹ := by
calc
_ ≤ ∫⁻ ω, ∑' n, ∑' t : BoundedTimes T n,
∏ i, radiusEnvelope a (t.val i) (y (t.val i)) ω ∂law :=
lintegral_mono fun ω ↦ prod_one_add_le_ordered_series T
(fun u ↦ radiusEnvelope a u (y u) ω)
_ = ∑' n, ∑' t : BoundedTimes T n, weightedEncounterMass t.val a y := by
rw [lintegral_tsum (fun n ↦ (Measurable.tsum (fun t ↦ by fun_prop)).aemeasurable)]
apply tsum_congr
intro n
rw [lintegral_tsum (fun t ↦ by fun_prop)]
rfl
_ ≤ ∑' n, (radiusActivity a)^n :=
ENNReal.tsum_le_tsum (fun n ↦ weighted_ordered_sum_bound T n a y)
_ = _ := ENNReal.tsum_geometric _
lemma ordered_product_bound (T : ℕ) (a : ℕ → ℝ≥0∞) (y : ℕ → Fin 2 → ℝ)
(f : ℕ → Noise → ℝ≥0∞) (hf : ∀ n ω, f n ω ≤ radiusEnvelope a n (y n) ω) :
(∫⁻ ω, ∏ u ∈ Finset.range (T+1), (1+f u ω) ∂law) ≤ (1-radiusActivity a)⁻¹ := by
refine le_trans (lintegral_mono (fun ω ↦ ?_)) (ordered_product_bound_envelope T a y)
exact Finset.prod_le_prod (fun u _ ↦ add_le_add_right (hf u ω) 1)
lemma exp_sub_one_le_slope {x B : ℝ} (hx : 0 ≤ x) (hB : x ≤ B) :
Real.exp x - 1 ≤ Real.exp B * x := by
have h := mul_le_mul_of_nonneg_left (Real.add_one_le_exp (-x)) (Real.exp_pos x).le
rw [← Real.exp_add, add_neg_cancel, Real.exp_zero] at h
have he : Real.exp x ≤ Real.exp B := Real.exp_le_exp.mpr hB
nlinarith [mul_le_mul_of_nonneg_right he hx]
lemma radiusEnvelope_smul (c : ℝ≥0∞) (a : ℕ → ℝ≥0∞) (n : ℕ)
(y : Fin 2 → ℝ) (ω : Noise) :
radiusEnvelope (fun l ↦ c*a l) n y ω = c*radiusEnvelope a n y ω := by
unfold radiusEnvelope
rw [← ENNReal.tsum_mul_left]
apply tsum_congr
intro l
ring
lemma radiusActivity_smul (c : ℝ≥0∞) (a : ℕ → ℝ≥0∞) :
radiusActivity (fun l ↦ c*a l) = c*radiusActivity a := by
unfold radiusActivity
simp only [mul_assoc]
rw [ENNReal.tsum_mul_left]
ac_rfl
lemma ofReal_exp_finset_sum {ι : Type*} (s : Finset ι) (f : ι → ℝ) :
ENNReal.ofReal (Real.exp (∑ i ∈ s, f i)) = ∏ i ∈ s, ENNReal.ofReal (Real.exp (f i)) := by
rw [Real.exp_sum, ENNReal.ofReal_prod_of_nonneg]
intro i _
exact (Real.exp_pos _).le
lemma radius_exponential_bound (T : ℕ) (a : ℕ → ℝ≥0∞) (y : ℕ → Fin 2 → ℝ)
(U : ℕ → Noise → ℝ) (hU0 : ∀ n ω, 0 ≤ U n ω) (hU1 : ∀ n ω, U n ω ≤ 1)
(hUa : ∀ n ω, ENNReal.ofReal (U n ω) ≤ radiusEnvelope a n (y n) ω)
(ha : ENNReal.ofReal (2*Real.exp 2) * radiusActivity a ≤ (1/2:ℝ≥0∞)) :
(∫⁻ ω, ENNReal.ofReal (Real.exp (2 * ∑ u ∈ Finset.range (T+1), U u ω)) ∂law) ≤ 2 := by
let c := ENNReal.ofReal (2*Real.exp 2)
let b := fun l ↦ c*a l
let f := fun n ω ↦ ENNReal.ofReal (Real.exp (2*U n ω)-1)
have hba : radiusActivity b ≤ (1/2:ℝ≥0∞) := by
simpa only [b,radiusActivity_smul,c] using ha
have hbf : ∀ n ω, f n ω ≤ radiusEnvelope b n (y n) ω := by
intro n ω
calc
f n ω ≤ ENNReal.ofReal (2*Real.exp 2 * U n ω) := by
apply ENNReal.ofReal_le_ofReal
simpa only [mul_assoc,mul_left_comm,mul_comm] using
exp_sub_one_le_slope (by linarith [hU0 n ω] : 0 ≤ 2*U n ω)
(by linarith [hU1 n ω] : 2*U n ω ≤ 2)
_ = c * ENNReal.ofReal (U n ω) := by rw [ENNReal.ofReal_mul (by positivity)]
_ ≤ c * radiusEnvelope a n (y n) ω := mul_le_mul' le_rfl (hUa n ω)
_ = radiusEnvelope b n (y n) ω := (radiusEnvelope_smul c a n (y n) ω).symm
have he (n : ℕ) (ω : Noise) : 1+f n ω = ENNReal.ofReal (Real.exp (2*U n ω)) := by
have hx : 0 ≤ Real.exp (2*U n ω)-1 := by
have := Real.one_le_exp_iff.mpr (by linarith [hU0 n ω] : 0 ≤ 2*U n ω)
linarith
change 1+ENNReal.ofReal (Real.exp (2*U n ω)-1) = _
rw [← ENNReal.ofReal_one,← ENNReal.ofReal_add (by norm_num) hx]
congr 1
ring
have h := ordered_product_bound T b y f hbf
have hh : (∫⁻ ω, ENNReal.ofReal
(Real.exp (2 * ∑ u ∈ Finset.range (T+1), U u ω)) ∂law) =
∫⁻ ω, ∏ u ∈ Finset.range (T+1), (1+f u ω) ∂law := by
apply lintegral_congr
intro ω
rw [Finset.mul_sum,ofReal_exp_finset_sum]
exact Finset.prod_congr rfl (fun u _ ↦ (he _ _).symm)
rw [hh]
refine h.trans ?_
have hd : (1/2:ℝ≥0∞) ≤ 1-radiusActivity b := by
simpa using tsub_le_tsub_left hba (1:ℝ≥0∞)
exact (ENNReal.inv_le_inv.mpr hd).trans_eq (by norm_num)
end HardSphere.DyadicSkeleton
end
end
end OAI