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