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import OAI.NumberTheory.Jacobsthal.Primes.PrimeCompactWeights
import OAI.NumberTheory.Jacobsthal.Probability.ActualCouplingUpdates
namespace OAI
namespace Erdos970
open scoped _root_.Erdos970
section
namespace NumberTheoryLean.ContinuousParentBins
open _root_.Set _root_.MeasureTheory
open scoped ENNReal
open FinitePathGeometry PrimeTiltBounds PrimeTiltMonotone ContinuousRatioBins
open HarmonicExponentMeasure WeightGlobalBounds
theorem multiplier_source_ratio {i : Side} {s t : ℝ} (hs : Valid i s) (ht : Valid i t) (u : ℝ) :
multiplier i s u = (weight i t/weight i s)*multiplier i t u := by
by_cases hu : u = 0
· simp [multiplier,hu]
· unfold multiplier
field_simp [hu,(weight_pos hs).ne',(weight_pos ht).ne']
theorem continuous_bin_mass_ratio {i : Side} {s t a b : ℝ} (hs : Valid i s) (ht : Valid i t)
(hsa : minRatio i s ≤ a) (hta : minRatio i t ≤ a) :
weightedRatioLaw i s (Ico a b) = ENNReal.ofReal (weight i t/weight i s) * weightedRatioLaw i t (Ico a b) := by
have hq : 0 ≤ weight i t/weight i s := (div_pos (weight_pos ht) (weight_pos hs)).le
simp only [weightedRatioLaw, withDensity_apply _ measurableSet_Ico]
rw [ratio_restrict_bin hsa, ratio_restrict_bin hta, ← lintegral_const_mul' _ _ ENNReal.ofReal_ne_top]
apply lintegral_congr
intro u
rw [multiplier_source_ratio hs ht u, ENNReal.ofReal_mul hq]
theorem continuousBin_parent_ratio {i : Side} {s t a b : ℝ} (hs : Valid i s) (ht : Valid i t)
(hsa : minRatio i s ≤ a) (hta : minRatio i t ≤ a) :
continuousBin i s a b = (weight i t/weight i s)*continuousBin i t a b := by
unfold continuousBin
rw [continuous_bin_mass_ratio hs ht hsa hta, ENNReal.toReal_mul,
ENNReal.toReal_ofReal (div_pos (weight_pos ht) (weight_pos hs)).le]
theorem positive_ratio_error {a b d : ℝ} (ha : 0 < a) (hb : 0 < b)
(hlog : |Real.log a-Real.log b| ≤ d) : |a/b-1| ≤ Real.exp d-1 := by
have hq := div_pos ha hb
rw [← Real.log_div ha.ne' hb.ne'] at hlog
have hlo := Real.exp_le_exp.mpr (abs_le.mp hlog).1
have hup := Real.exp_le_exp.mpr (abs_le.mp hlog).2
rw [Real.exp_log hq] at hlo hup
have hsum : 2 ≤ Real.exp d+Real.exp (-d) := by
linarith [Real.add_one_le_exp d, Real.add_one_le_exp (-d)]
rw [abs_le]
constructor <;> linarith
theorem continuous_parent_bin_error : ∃ C : ℝ, 0 < C ∧ ∀ S : ℝ, 3 ≤ S →
∀ i : Side, ∀ s t a b : ℝ, Valid i s → Valid i t → s ≤ S → t ≤ S →
minRatio i s ≤ a → minRatio i t ≤ a →
|continuousBin i s a b-continuousBin i t a b| ≤
(Real.exp (C*(1+S)^3*|s-t|)-1)*continuousBin i t a b := by
obtain ⟨C,hC,hbound⟩ := weights_log_lipschitz
refine ⟨C,hC,?_⟩
intro S hS i s t a b hs ht hsS htS hsa hta
have hlogs : |Real.log (weight i s)-Real.log (weight i t)| ≤ C*(1+S)^3*|s-t| := by
cases i with
| even => exact (hbound S hS).1 s t hs ht hsS htS
| odd => exact (hbound S hS).2 s t hs ht hsS htS
have hr := positive_ratio_error (weight_pos ht) (weight_pos hs)
((abs_sub_comm _ _).trans_le hlogs)
have hmass : 0 ≤ continuousBin i t a b := ENNReal.toReal_nonneg
rw [continuousBin_parent_ratio hs ht hsa hta]
rw [show (weight i t/weight i s)*continuousBin i t a b-continuousBin i t a b =
(weight i t/weight i s-1)*continuousBin i t a b by ring, abs_mul, abs_of_nonneg hmass]
exact mul_le_mul_of_nonneg_right hr hmass
end NumberTheoryLean.ContinuousParentBins
end
section
namespace NumberTheoryLean.NearbyParentFullBins
open _root_.Set _root_.MeasureTheory
open FinitePathGeometry FinitePathMeasures PrimeHistories PrimeKilledChain
open PrimeBinMembership ActualPrimeBins ContinuousKilledBins
open NormalizedPrimeBins ContinuousRatioBins ContinuousParentBins RegeneratingInverseBands
theorem nearby_parent_full_bin_error : ∃ c C D w₀ : ℝ, 0 < c ∧ 0 < C ∧ 0 < D ∧ 1 < w₀ ∧
∀ w : ℝ, w₀ ≤ w → ∀ ell S : ℝ, ∀ start : Node, ∀ h : History w ell S start,
∀ v : ℝ, ∀ z : CostState, ∀ a b : ℝ,
1 ≤ ell → 3 ≤ S → 0 < start.gap → Valid start.side start.ratio → start.ratio ≤ S → Consistent start →
stateRatio z.1 ≤ S → h.node.side = stateSide z.1 →
minRatio h.node.side h.node.ratio < a → minRatio (stateSide z.1) (stateRatio z.1) < a →
a ≤ b → b ≤ S → b ≤ h.node.gap/ell-1 → b ≤ gapValue v z/ell-1 →
|(chain w ell S start (some h) (liveBin a b)).toReal -
(continuousChain v ell S (.inl z) (Sum.inl '' ratioBinSet a b)).toReal| ≤
C*(1+S)^5*((b-a)^2+Real.exp (-c*Real.sqrt ((1/2 : ℝ)*Real.log w))) +
epsilon w*continuousBin h.node.side h.node.ratio a b +
(Real.exp (D*(1+S)^3*|h.node.ratio-stateRatio z.1|)-1)*
continuousBin (stateSide z.1) (stateRatio z.1) a b := by
obtain ⟨c,C,w₀,hc,hC,hw₀,hprime⟩ := normalized_bin_error
obtain ⟨D,hD,hparent⟩ := continuous_parent_bin_error
refine ⟨c,C,D,w₀,hc,hC,hD,hw₀,?_⟩
intro w hw ell S start h v z a b hell hS hr hs hsS hcons htS hside hma hta hab hbS harrP harrC
have hw1 := hw₀.trans_le hw
have hell0 : 0 < ell := by linarith
have hnvalid := terminal_valid hs h.admissible
have hngap := terminal_gap_positive hell0.le hr hs h.admissible
have hnS := terminal_ratio_le hsS h.admissible
have hncons := history_consistent hell0.le hr hs hcons h
have htvalid : Valid h.node.side (stateRatio z.1) := by rw [hside]; exact stateRatio_valid z.1
have hta' : minRatio h.node.side (stateRatio z.1) < a := by rwa [hside]
have ha : 0 < a := (PrimeTiltMonotone.minRatio_pos hnvalid).trans hma
have hlow : (1/2 : ℝ) ≤ h.node.gap/(b+1) := by
have h : ell ≤ h.node.gap/(b+1) := by
apply (le_div_iff₀ (by linarith : 0 < b+1)).mpr
have hm := (le_div_iff₀ hell0).mp (show b+1 ≤ h.node.gap/ell by linarith)
nlinarith
linarith
rw [chain_full_bin_real h hw1 hell0 hngap hnvalid hncons hma hab hbS harrP,
continuousChain_full_bin_real v hell0 z hbS harrC, ← hside]
exact (abs_sub_le _ (continuousBin h.node.side h.node.ratio a b) _).trans (add_le_add
(hprime w hw h.node.gap S hngap hS h.node.side h.node.ratio a b hnvalid hnS hma.le hab hbS hlow)
(hparent S hS h.node.side h.node.ratio (stateRatio z.1) a b hnvalid htvalid hnS htS hma.le hta'.le))
end NumberTheoryLean.NearbyParentFullBins
end
section
namespace NumberTheoryLean.ActualSupportIntervals
open _root_.Set _root_.MeasureTheory ProbabilityTheory
open scoped ENNReal
open FinitePathGeometry FinitePathMeasures PrimeHistories PrimeKilledChain
open PrimeTiltGeometry ActualCouplingUpdates ContinuousKilledBins LowStateHorizon
open ArrivalKernelGeometry RegeneratingInverseBands PairedCostGrouping
noncomputable def upperSupport (S ell r : ℝ) : ℝ := min S (r/ell-1)
theorem prime_child_interval {w ell S : ℝ} {start : Node} (h : History w ell S start)
(hell : 0 < ell) (hr : 0 < h.node.gap) (hs : Valid h.node.side h.node.ratio)
(p : ℕ) (hp : p ∈ nodeChildren w ell S h.node) :
(h.append p hp).node.ratio ∈ Icc (minRatio h.node.side h.node.ratio) (upperSupport S ell h.node.gap) := by
classical
have hp' := (Finset.mem_filter.mp hp).2
have ht0 := valid_pos (child_valid hs hp)
have hx := hp'.1
have heq := nextExponent_childRatio hr (child_exponent_positive hell.le hp)
have hu : childRatio w h.node.gap p < h.node.gap/ell-1 := by
rw [← heq] at hx
have hmul := (lt_div_iff₀ (by linarith : 0 < childRatio w h.node.gap p+1)).mp hx
have hdiv : childRatio w h.node.gap p+1 < h.node.gap/ell := (lt_div_iff₀ hell).mpr (by nlinarith)
linarith
rw [History.append_node]
exact ⟨hp'.2.2.1,le_min hp'.2.2.2 hu.le⟩
theorem prime_row_interval {w ell S : ℝ} {start : Node} (h : History w ell S start)
(hell : 0 < ell) (hr : 0 < h.node.gap) (hs : Valid h.node.side h.node.ratio) :
∀ᵐ k ∂chain w ell S start (some h),
match k with
| none => True
| some k => k.node.ratio ∈ Icc (minRatio h.node.side h.node.ratio) (upperSupport S ell h.node.gap) := by
filter_upwards [prime_follows h] with k hk
cases k with
| none => trivial
| some k =>
obtain ⟨p,hp,rfl⟩ := hk
exact prime_child_interval h hell hr hs p hp
theorem costKernel_lower_support (z : CostState) :
∀ᵐ y ∂costKernel z, minRatio (stateSide z.1) (stateRatio z.1) ≤ stateRatio y.1 := by
have hm : Measurable (fun s : State => (s,z.2+cost (stateRatio s))) :=
measurable_id.prodMk (measurable_const.add (cost_measurable.comp stateRatio_measurable))
have hP : MeasurableSet {y : CostState | minRatio (stateSide z.1) (stateRatio z.1) ≤ stateRatio y.1} :=
measurableSet_le measurable_const (stateRatio_measurable.comp measurable_fst)
rw [costKernel_eq_map]
exact (ae_map_iff hm.aemeasurable hP).mpr (stateKernel_ae_minRatio z.1)
theorem continuous_interval_measurable (v ell S : ℝ) (z : CostState) :
MeasurableSet {y : CostState | stateRatio y.1 ∈
Icc (minRatio (stateSide z.1) (stateRatio z.1)) (upperSupport S ell (gapValue v z))} :=
(stateRatio_measurable.comp measurable_fst) measurableSet_Icc
theorem continuous_low_interval (v S : ℝ) {ell : ℝ} (hell : 0 < ell) (z : CostState) :
∀ᵐ y ∂lowKernel costKernel v ell S z, stateRatio y.1 ∈
Icc (minRatio (stateSide z.1) (stateRatio z.1)) (upperSupport S ell (gapValue v z)) := by
rw [lowKernel,Kernel.restrict_apply]
filter_upwards [ae_restrict_of_ae (costKernel_time_update z),ae_restrict_of_ae (costKernel_lower_support z),
ae_restrict_mem (lowDomain_measurable v ell S)] with y htime hlo hD
have hy : y = (y.1,z.2+cost (stateRatio y.1)) := Prod.ext rfl htime
have hcur : currentExponent v y = nextExponent (gapValue v z) (stateRatio y.1) := by
calc
_ = currentExponent v (y.1,z.2+cost (stateRatio y.1)) := congrArg (currentExponent v) hy
_ = _ := currentExponent_update v z y.1
have hupper : stateRatio y.1 < gapValue v z/ell-1 := by
have hx : ell < nextExponent (gapValue v z) (stateRatio y.1) := by
rw [← hcur]
exact hD.1
have ht0 := OccupationBoundaries.stateRatio_pos y.1
have hmul := (lt_div_iff₀ (by linarith : 0 < stateRatio y.1+1)).mp hx
have hdiv : stateRatio y.1+1 < gapValue v z/ell := (lt_div_iff₀ hell).mpr (by nlinarith)
linarith
exact ⟨hlo,le_min hD.2 hupper.le⟩
theorem continuous_row_interval (v S : ℝ) {ell : ℝ} (hell : 0 < ell) (z : CostState) :
∀ᵐ y ∂continuousChain v ell S (.inl z), liftPredicate (fun y : CostState => stateRatio y.1 ∈
Icc (minRatio (stateSide z.1) (stateRatio z.1)) (upperSupport S ell (gapValue v z))) y :=
complete_ae _ z (continuous_interval_measurable v ell S z) (continuous_low_interval v S hell z)
end NumberTheoryLean.ActualSupportIntervals
end
section
namespace NumberTheoryLean.ActualMeshBins
open _root_.Set _root_.MeasureTheory ProbabilityTheory
open scoped ENNReal
open FinitePathGeometry FinitePathMeasures PrimeHistories PrimeKilledChain
open ActualProcessCoupling ActualCouplingSupport ActualPrimeBins ContinuousKilledBins
open MeshRatioLabels MeshBoundaryGeometry ActualSupportIntervals PrimeBinMembership
open NearbyParentFullBins ContinuousRatioBins RegeneratingInverseBands
variable {w ell S : ℝ} {start : Node}
theorem prime_label_eq_bin {mesh : ℝ} (hm : 0 < mesh) (hs : Valid start.side start.ratio)
(hsS : start.ratio ≤ S) (j : Label S mesh) (hj : j ≠ cemeteryLabel S mesh) :
(primeLabel w ell S mesh start) ⁻¹' {j} = liveBin (lowerEdge j) (upperEdge j) := by
ext p
cases p with
| none =>
change cemeteryLabel S mesh = j ↔ False
simp [Ne.symm hj]
| some h =>
have ht := valid_pos (terminal_valid hs h.admissible)
have hS := terminal_ratio_le hsS h.admissible
exact ratioLabel_eq_iff hm ht.le hS j
theorem continuous_label_mass_eq_bin (v ell S : ℝ) {mesh : ℝ} (hm : 0 < mesh)
(z : CostState) (j : Label S mesh) (hj : j ≠ cemeteryLabel S mesh) :
continuousChain v ell S (.inl z) ((continuousLabel S mesh) ⁻¹' {j}) =
continuousChain v ell S (.inl z) (Sum.inl '' ratioBinSet (lowerEdge j) (upperEdge j)) := by
apply measure_congr
filter_upwards [continuous_supported v ell S (.inl z)] with y hy
apply propext
cases y with
| inr u =>
change (cemeteryLabel S mesh = j) ↔ ∃ x ∈ ratioBinSet (lowerEdge j) (upperEdge j), (Sum.inl x : CemeteryKernel.Space CostState) = Sum.inr u
simp [Ne.symm hj]
| inl y =>
have heq := ratioLabel_eq_iff hm (OccupationBoundaries.stateRatio_pos y.1).le hy j
change (ratioLabel S mesh (stateRatio y.1) = j) ↔ ∃ x ∈ ratioBinSet (lowerEdge j) (upperEdge j), (Sum.inl x : CemeteryKernel.Space CostState) = Sum.inl y
simpa only [Set.mem_image,Sum.inl.injEq,exists_eq_right,ratioBinSet,mem_ofPred_eq,lowerEdge,upperEdge] using heq
theorem cell_below_S_not_cemetery {S mesh : ℝ} (hm : 0 < mesh) (j : Label S mesh)
(hj : upperEdge j ≤ S) : j ≠ cemeteryLabel S mesh := by
intro heq
subst j
have hf := Nat.lt_floor_add_one (S/mesh)
have hmul : S < ((⌊S/mesh⌋₊:ℝ)+1)*mesh := (div_lt_iff₀ hm).mp hf
change (((binCount S mesh+1:ℕ):ℝ)+1)*mesh ≤ S at hj
simp only [Nat.cast_add,Nat.cast_one,binCount] at hj
nlinarith
theorem mesh_cells_disjoint {S mesh : ℝ} (hm : 0 < mesh) :
Pairwise (fun j k : Label S mesh => Disjoint (Ico (lowerEdge j) (upperEdge j)) (Ico (lowerEdge k) (upperEdge k))) := by
intro j k hjk
apply Set.disjoint_left.mpr
intro t htj htk
have hne : j.val ≠ k.val := fun h => hjk (Fin.ext h)
rcases lt_or_gt_of_ne hne with hlt | hgt
· have hle : (j.val:ℝ)+1 ≤ (k.val:ℝ) := by exact_mod_cast Nat.succ_le_of_lt hlt
have he : upperEdge j ≤ lowerEdge k := mul_le_mul_of_nonneg_right hle hm.le
exact (htj.2.trans_le (he.trans htk.1)).false
· have hle : (k.val:ℝ)+1 ≤ (j.val:ℝ) := by exact_mod_cast Nat.succ_le_of_lt hgt
have he : upperEdge k ≤ lowerEdge j := mul_le_mul_of_nonneg_right hle hm.le
exact (htk.2.trans_le (he.trans htj.1)).false
theorem continuous_mesh_sum_le_one {S mesh s : ℝ} {i : Side} (hm : 0 < mesh) (hs : Valid i s)
(I : Finset (Label S mesh)) :
(∑ j ∈ I,continuousBin i s (lowerEdge j) (upperEdge j)) ≤ 1 := by
let := weightedRatioLaw_probability hs
have hUnion := measure_biUnion_finset (μ:=weightedRatioLaw i s)
(s:=I) (f:=fun j => Ico (lowerEdge j) (upperEdge j))
(fun _ _ _ _ hne => mesh_cells_disjoint hm hne) (fun _ _ => measurableSet_Ico)
have hmass : (∑ j ∈ I,weightedRatioLaw i s (Ico (lowerEdge j) (upperEdge j))) ≤ 1 := by
rw [← hUnion]
exact (measure_mono (subset_univ _)).trans_eq measure_univ
unfold continuousBin
rw [← ENNReal.toReal_sum (fun j _ => measure_ne_top (weightedRatioLaw i s) (Ico (lowerEdge j) (upperEdge j)))]
simpa only [ENNReal.toReal_one] using ENNReal.toReal_mono ENNReal.one_ne_top hmass
theorem common_cell_error : ∃ c C D w₀ : ℝ, 0 < c ∧ 0 < C ∧ 0 < D ∧ 1 < w₀ ∧
∀ w : ℝ, w₀ ≤ w → ∀ ell S : ℝ, ∀ start : Node, ∀ h : History w ell S start,
∀ v : ℝ, ∀ z : CostState, ∀ mesh : ℝ, ∀ j : Label S mesh,
1 ≤ ell → 3 ≤ S → 0 < start.gap → Valid start.side start.ratio → start.ratio ≤ S → Consistent start →
stateRatio z.1 ≤ S → h.node.side = stateSide z.1 → 0 < mesh →
fullCell (minRatio h.node.side h.node.ratio) (minRatio (stateSide z.1) (stateRatio z.1))
(upperSupport S ell h.node.gap) (upperSupport S ell (gapValue v z)) j →
|(chain w ell S start (some h) ((primeLabel w ell S mesh start) ⁻¹' {j})).toReal-
(continuousChain v ell S (.inl z) ((continuousLabel S mesh) ⁻¹' {j})).toReal| ≤
C*(1+S)^5*(mesh^2+Real.exp (-c*Real.sqrt ((1/2:ℝ)*Real.log w)))+
epsilon w*continuousBin h.node.side h.node.ratio (lowerEdge j) (upperEdge j)+
(Real.exp (D*(1+S)^3*|h.node.ratio-stateRatio z.1|)-1)*
continuousBin (stateSide z.1) (stateRatio z.1) (lowerEdge j) (upperEdge j) := by
obtain ⟨c,C,D,w₀,hc,hC,hD,hw₀,hbound⟩ := nearby_parent_full_bin_error
refine ⟨c,C,D,w₀,hc,hC,hD,hw₀,?_⟩
intro w hw ell S start h v z mesh j hell hS hr hs hsS hcons hzS hside hm hcell
have hLd := (le_max_left _ _).trans_lt hcell.1
have hLc := (le_max_right _ _).trans_lt hcell.1
have hUd := hcell.2.trans (min_le_left _ _)
have hUc := hcell.2.trans (min_le_right _ _)
have hbS := hUd.trans (min_le_left _ _)
have hbp := hUd.trans (min_le_right _ _)
have hbc := hUc.trans (min_le_right _ _)
have hj := cell_below_S_not_cemetery hm j hbS
rw [prime_label_eq_bin hm hs hsS j hj,continuous_label_mass_eq_bin v ell S hm z j hj]
have hab : lowerEdge j ≤ upperEdge j := by unfold lowerEdge upperEdge; nlinarith
have he := hbound w hw ell S start h v z (lowerEdge j) (upperEdge j) hell hS hr hs hsS hcons hzS hside hLd hLc hab hbS hbp hbc
have hwidth : upperEdge j-lowerEdge j = mesh := by unfold upperEdge lowerEdge; ring
rwa [hwidth] at he
end NumberTheoryLean.ActualMeshBins
end
section
namespace NumberTheoryLean.CommonCellSum
open _root_.Set _root_.Finset _root_.MeasureTheory ProbabilityTheory
open FinitePathGeometry FinitePathMeasures PrimeHistories PrimeKilledChain
open MeshRatioLabels MeshBoundaryGeometry ActualSupportIntervals ActualMeshBins
open ActualProcessCoupling ContinuousKilledBins PrimeBinMembership
open ContinuousRatioBins RegeneratingInverseBands KernelBinConditioning
theorem common_cell_sum_error : ∃ c C D w₀ : ℝ, 0 < c ∧ 0 < C ∧ 0 < D ∧ 1 < w₀ ∧
∀ w : ℝ, w₀ ≤ w → ∀ ell S : ℝ, ∀ start : Node, ∀ h : History w ell S start,
∀ v : ℝ, ∀ z : CostState, ∀ mesh : ℝ, ∀ I : Finset (Label S mesh),
1 ≤ ell → 3 ≤ S → 0 < start.gap → Valid start.side start.ratio → start.ratio ≤ S → Consistent start →
stateRatio z.1 ≤ S → h.node.side = stateSide z.1 → 0 < mesh →
(∀ j ∈ I, fullCell (minRatio h.node.side h.node.ratio) (minRatio (stateSide z.1) (stateRatio z.1))
(upperSupport S ell h.node.gap) (upperSupport S ell (gapValue v z)) j) →
(∑ j ∈ I, |labelMass (chain w ell S start) (primeLabel w ell S mesh start) (some h) j-
labelMass (continuousChain v ell S) (continuousLabel S mesh) (.inl z) j|) ≤
(S/mesh+2)*(C*(1+S)^5*(mesh^2+Real.exp (-c*Real.sqrt ((1/2:ℝ)*Real.log w))))+
epsilon w+(Real.exp (D*(1+S)^3*|h.node.ratio-stateRatio z.1|)-1) := by
obtain ⟨c,C,D,w₀,hc,hC,hD,hw₀,hbound⟩ := common_cell_error
refine ⟨c,C,D,w₀,hc,hC,hD,hw₀,?_⟩
intro w hw ell S start h v z mesh I hell hS hr hs hsS hcons hzS hside hm hcells
let A := C*(1+S)^5*(mesh^2+Real.exp (-c*Real.sqrt ((1/2:ℝ)*Real.log w)))
let Q := Real.exp (D*(1+S)^3*|h.node.ratio-stateRatio z.1|)-1
let P : Label S mesh → ℝ := fun j => continuousBin h.node.side h.node.ratio (lowerEdge j) (upperEdge j)
let R : Label S mesh → ℝ := fun j => continuousBin (stateSide z.1) (stateRatio z.1) (lowerEdge j) (upperEdge j)
have hS1 : 0 ≤ 1+S := by linarith
have hA : 0 ≤ A := by dsimp [A]; positivity
have hQ : 0 ≤ Q := by
apply sub_nonneg.mpr
apply Real.one_le_exp_iff.mpr
positivity
have hPsum : (∑ j ∈ I,P j) ≤ 1 := continuous_mesh_sum_le_one hm (terminal_valid hs h.admissible) I
have hRsum : (∑ j ∈ I,R j) ≤ 1 := continuous_mesh_sum_le_one hm (stateRatio_valid z.1) I
have hcard : (I.card:ℝ) ≤ S/mesh+2 := by
have h : (I.card:ℝ) ≤ (Fintype.card (Label S mesh):ℝ) := by exact_mod_cast Finset.card_le_univ I
exact h.trans (label_card_le (by linarith) hm)
calc
_ ≤ ∑ j ∈ I,(A+epsilon w*P j+Q*R j) := by
apply Finset.sum_le_sum
intro j hj
exact hbound w hw ell S start h v z mesh j hell hS hr hs hsS hcons hzS hside hm (hcells j hj)
_ = (I.card:ℝ)*A+epsilon w*(∑ j ∈ I,P j)+Q*(∑ j ∈ I,R j) := by
simp only [Finset.sum_add_distrib,Finset.sum_const,nsmul_eq_mul,← Finset.mul_sum]
_ ≤ _ := by
have h1 := mul_le_mul_of_nonneg_right hcard hA
have h2 := mul_le_mul_of_nonneg_left hPsum (epsilon_pos w).le
have h3 := mul_le_mul_of_nonneg_left hRsum hQ
dsimp only [A,Q] at h1 h3 ⊢
linarith
end NumberTheoryLean.CommonCellSum
end
end Erdos970
end OAI