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Add lean source and binary files (part 127)
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import Mathlib
import OAI.Probability.SKBarriers.Coverage.ThermodynamicLimit
namespace OAI
section
section
noncomputable section
open scoped BigOperators
open MeasureTheory ProbabilityTheory Filter Set
namespace SK.Analytic
open scoped Topology
def gibbsEnergyTail {N : ℕ} (β e : ℝ) (J : Disorder N) : ℝ :=
∑ s : Config N, if (N:ℝ)*e < hamiltonian J s then gibbs β J s else 0
theorem gibbsEnergyTail_le {N : ℕ} {β γ : ℝ} (hβγ : β < γ)
(e : ℝ) (J : Disorder N) :
gibbsEnergyTail β e J ≤
Real.exp (logPartition γ J-logPartition β J-(γ-β)*(N:ℝ)*e) := by
have hZβ := partition_pos β J
have hZγ := partition_pos γ J
have he : Real.exp (logPartition γ J-logPartition β J-(γ-β)*(N:ℝ)*e) =
Real.exp (-((γ-β)*(N:ℝ)*e))*partition γ J/partition β J := by
rw [show logPartition γ J-logPartition β J-(γ-β)*(N:ℝ)*e =
-((γ-β)*(N:ℝ)*e)+(logPartition γ J-logPartition β J) by ring,
Real.exp_add,Real.exp_sub]
simp only [logPartition,Real.exp_log hZγ,Real.exp_log hZβ]
ring
rw [he]
unfold gibbsEnergyTail
calc
_ ≤ ∑ s : Config N,
Real.exp (-((γ-β)*(N:ℝ)*e))*Real.exp (γ*hamiltonian J s)/partition β J := by
apply Finset.sum_le_sum
intro s _
split_ifs with hs
· unfold gibbs
apply div_le_div_of_nonneg_right _ hZβ.le
rw [← Real.exp_add]
apply Real.exp_le_exp.mpr
have H := mul_le_mul_of_nonneg_left hs.le (sub_pos.mpr hβγ).le
nlinarith
· positivity
_ = _ := by rw [← Finset.sum_div,← Finset.mul_sum]; rfl
theorem logPartition_upper_tail_linear {N : ℕ} (hN : 0 < N) {β a : ℝ}
(hβ : β ≠ 0) (ha : 0 ≤ a) :
(disorderLaw N).real {J | a*(N:ℝ) ≤ logPartition β J-
∫ K, logPartition β K ∂disorderLaw N} ≤
Real.exp (-(4*a^2/(Real.pi^2*β^2))*(N:ℝ)) := by
have H := logPartition_upper_tail hN β (a*(N:ℝ)) (by positivity)
convert H using 1
congr 1
change -(4*a^2/(Real.pi^2*β^2))*(N:ℝ) =
-(a*(N:ℝ))^2/(2*(Real.pi^2*β^2*(N:ℝ)/8))
have hn : (N:ℝ) ≠ 0 := by exact_mod_cast hN.ne'
field_simp
ring
theorem logPartition_lower_tail_linear {N : ℕ} (hN : 0 < N) {β a : ℝ}
(hβ : β ≠ 0) (ha : 0 ≤ a) :
(disorderLaw N).real {J | a*(N:ℝ) ≤
(∫ K, logPartition β K ∂disorderLaw N)-logPartition β J} ≤
Real.exp (-(4*a^2/(Real.pi^2*β^2))*(N:ℝ)) := by
have H := logPartition_lower_tail hN β (a*(N:ℝ)) (by positivity)
convert H using 1
congr 1
change -(4*a^2/(Real.pi^2*β^2))*(N:ℝ) =
-(a*(N:ℝ))^2/(2*(Real.pi^2*β^2*(N:ℝ)/8))
have hn : (N:ℝ) ≠ 0 := by exact_mod_cast hN.ne'
field_simp
ring
theorem gibbsEnergyTail_probability_le {N : ℕ} (hN : 0 < N) {β γ e a : ℝ}
(hβ : 0 < β) (hβγ : β < γ) (ha : 0 < a)
(hP : quenchedPressure γ N-quenchedPressure β N ≤ (γ-β)*e-3*a) :
(disorderLaw N).real {J | Real.exp (-a*(N:ℝ)) < gibbsEnergyTail β e J} ≤
2*Real.exp (-(4*a^2/(Real.pi^2*γ^2))*(N:ℝ)) := by
let A := {J : Disorder N | a*(N:ℝ) ≤ logPartition γ J-
∫ K, logPartition γ K ∂disorderLaw N}
let B := {J : Disorder N | a*(N:ℝ) ≤
(∫ K, logPartition β K ∂disorderLaw N)-logPartition β J}
have hsub : {J : Disorder N | Real.exp (-a*(N:ℝ)) < gibbsEnergyTail β e J} ⊆ A ∪ B := by
intro J hJ
by_contra hbad
have hA : logPartition γ J-(∫ K, logPartition γ K ∂disorderLaw N) < a*(N:ℝ) :=
lt_of_not_ge (fun h => hbad (Or.inl h))
have hB : (∫ K, logPartition β K ∂disorderLaw N)-logPartition β J < a*(N:ℝ) :=
lt_of_not_ge (fun h => hbad (Or.inr h))
have hPlin := mul_le_mul_of_nonneg_right hP (show (0:ℝ) ≤ N by positivity)
have hNne : (N:ℝ) ≠ 0 := by exact_mod_cast hN.ne'
simp only [quenchedPressure,sub_mul,div_mul_cancel₀ _ hNne] at hPlin
have hbound := gibbsEnergyTail_le hβγ e J
have hsmall : logPartition γ J-logPartition β J-(γ-β)*(N:ℝ)*e ≤ -a*(N:ℝ) := by
nlinarith
exact (not_lt_of_ge (hbound.trans (Real.exp_le_exp.mpr hsmall))) hJ
have hγ : 0 < γ := hβ.trans hβγ
have Hγ := logPartition_upper_tail_linear hN hγ.ne' ha.le
have Hβ := logPartition_lower_tail_linear hN hβ.ne' ha.le
have hrate : 4*a^2/(Real.pi^2*γ^2) ≤ 4*a^2/(Real.pi^2*β^2) := by
apply div_le_div_of_nonneg_left (by positivity) (by positivity)
apply mul_le_mul_of_nonneg_left _ (sq_nonneg Real.pi)
nlinarith
have Hβ' : (disorderLaw N).real B ≤
Real.exp (-(4*a^2/(Real.pi^2*γ^2))*(N:ℝ)) := by
apply Hβ.trans
apply Real.exp_le_exp.mpr
exact mul_le_mul_of_nonneg_right (neg_le_neg hrate) (by positivity)
exact (measureReal_mono hsub).trans ((measureReal_union_le A B).trans (by linarith))
end SK.Analytic
end
end
end
end OAI