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Add lean source and binary files (part 127)
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import Mathlib
import OAI.Probability.SKBarriers.Parisi.CDFMassRemainder
import OAI.Probability.SKBarriers.Parisi.CDFMassSegment
namespace OAI
section
noncomputable section
open scoped NNReal Topology BigOperators
open MeasureTheory ProbabilityTheory Filter Set
namespace SK.Analytic
theorem scalarCDFParisi_mass_quotient_bound (β : ℝ) (α γ : StieltjesFunction ℝ)
(ha : ∀ z, α z∈Icc (0:ℝ) 1) (hα1 : α 1=1)
(hg : ∀ z, γ z∈Icc (0:ℝ) 1) (hγ1 : γ 1=1)
{θ h : ℝ} (hθ : θ∈Ioc (0:ℝ) 1) (hh : 0<h) :
|(scalarCDFParisi β (cdfMassSegment α γ θ)-scalarCDFParisi β α)/θ-
(β^2/2)*∫ s in Icc (0:ℝ) 1, (γ s-α s)*(scalarCDFOverlap β α s-s)|≤
(β^2/2)*cdfDistance γ α*scalarOverlapModulus β (θ*cdfDistance γ α) h := by
let η := cdfMassSegmentStieltjes α γ θ ⟨hθ.1.le,hθ.2⟩
have H := scalarCDFParisi_mass_remainder β α η ha hα1
(cdfMassSegment_bounds ha hg ⟨hθ.1.le,hθ.2⟩) (cdfMassSegment_one hα1 hγ1 θ) hh
change |scalarCDFParisi β (cdfMassSegment α γ θ)-scalarCDFParisi β α-
(β^2/2)*∫ s in Icc (0:ℝ) 1, (cdfMassSegment α γ θ s-α s)*(scalarCDFOverlap β α s-s)|≤
(β^2/2)*cdfDistance (cdfMassSegment α γ θ) α*
scalarOverlapModulus β (cdfDistance (cdfMassSegment α γ θ) α) h at H
rw [cdfMassSegment_distance α γ hθ.1.le,cdfMassSegment_integral] at H
have he (a b L : ℝ) : |(a-b)/θ-L|=|a-b-θ*L|/θ := by
have E : (a-b)/θ-L=(a-b-θ*L)/θ := by field_simp [ne_of_gt hθ.1]
rw [E,abs_div,abs_of_pos hθ.1]
rw [he]
have HE : (β^2/2)*(θ*(∫ s in Icc (0:ℝ) 1, (γ s-α s)*(scalarCDFOverlap β α s-s)))=
θ*((β^2/2)*(∫ s in Icc (0:ℝ) 1, (γ s-α s)*(scalarCDFOverlap β α s-s))) := by ring
rw [HE] at H
apply (div_le_div_of_nonneg_right H hθ.1.le).trans_eq
field_simp [ne_of_gt hθ.1]
theorem scalarCDFParisi_mass_quotient_tendsto (β : ℝ) (α γ : StieltjesFunction ℝ)
(ha : ∀ z, α z∈Icc (0:ℝ) 1) (hα1 : α 1=1)
(hg : ∀ z, γ z∈Icc (0:ℝ) 1) (hγ1 : γ 1=1) :
Tendsto (fun θ : ℝ => (scalarCDFParisi β (cdfMassSegment α γ θ)-scalarCDFParisi β α)/θ)
(𝓝[>] (0:ℝ)) (𝓝 ((β^2/2)*∫ s in Icc (0:ℝ) 1,
(γ s-α s)*(scalarCDFOverlap β α s-s))) := by
let K := (β^2/2)*cdfDistance γ α
have hK : 0≤K := mul_nonneg (by positivity) (cdfDistance_nonneg _ _)
apply Metric.tendsto_nhds.mpr
intro ε hε
let h := ε/(24*(K+1))
have hh : 0<h := div_pos hε (by positivity)
have he : K*(12*h)<ε := by
have HE : (K+1)*(12*h)=ε/2 := by dsimp [h]; field_simp; ring
have HH := mul_le_mul_of_nonneg_right (show K≤K+1 by linarith) (by positivity : 0≤12*h)
rw [HE] at HH
linarith
have HC : Continuous (fun θ : ℝ => K*scalarOverlapModulus β (θ*cdfDistance γ α) h) :=
continuous_const.mul ((scalarOverlapModulus_continuous β h).comp (continuous_id.mul continuous_const))
have HT : Tendsto (fun θ : ℝ => K*scalarOverlapModulus β (θ*cdfDistance γ α) h)
(𝓝[>] (0:ℝ)) (𝓝 (K*(12*h))) := by
simpa only [scalarOverlapModulus,zero_mul,mul_zero,zero_div,Real.exp_zero,sub_self,add_zero,zero_add]
using (HC.tendsto (0:ℝ)).mono_left nhdsWithin_le_nhds
have Hε := (tendsto_order.mp HT).2 ε he
have H₁ : ∀ᶠ θ : ℝ in 𝓝[>] (0:ℝ), θ<1 := (eventually_lt_nhds (by norm_num : (0:ℝ)<1)).filter_mono nhdsWithin_le_nhds
filter_upwards [Hε,H₁,self_mem_nhdsWithin] with θ hθε hθ1 hθ0
rw [Real.dist_eq]
exact (scalarCDFParisi_mass_quotient_bound β α γ ha hα1 hg hγ1 ⟨hθ0,hθ1.le⟩ hh).trans_lt hθε
theorem scalarCDFParisi_hasDerivWithinAt_mass (β : ℝ) (α γ : StieltjesFunction ℝ)
(ha : ∀ z, α z∈Icc (0:ℝ) 1) (hα1 : α 1=1)
(hg : ∀ z, γ z∈Icc (0:ℝ) 1) (hγ1 : γ 1=1) :
HasDerivWithinAt (fun θ : ℝ => scalarCDFParisi β (cdfMassSegment α γ θ))
((β^2/2)*∫ s in Icc (0:ℝ) 1, (γ s-α s)*(scalarCDFOverlap β α s-s)) (Ici (0:ℝ)) 0 := by
have he : Ici (0:ℝ)\{0}=Ioi (0:ℝ) := by
ext x
simp only [Set.mem_sdiff,mem_Ici,mem_singleton_iff,mem_Ioi]
exact ⟨fun H => lt_of_le_of_ne H.1 (Ne.symm H.2),fun H => ⟨H.le,ne_of_gt H⟩⟩
rw [hasDerivWithinAt_iff_tendsto_slope,he]
change Tendsto (fun θ => slope (fun θ : ℝ => scalarCDFParisi β (cdfMassSegment α γ θ)) 0 θ) _ _
simpa only [slope_def_field,sub_zero,cdfMassSegment_zero] using
scalarCDFParisi_mass_quotient_tendsto β α γ ha hα1 hg hγ1
end SK.Analytic
end
end
end OAI