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Add lean source and binary files (part 127)
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import Mathlib
import OAI.Probability.SKBarriers.SpinGlass.FiniteLaw
namespace OAI
section
noncomputable section
open scoped BigOperators
open Classical MeasureTheory Set
namespace SK.Analytic
namespace FiniteLaw
def uniformFin (n : ℕ) (hn : 0 < n) : FiniteLaw (Fin n) where
weight _ := 1/(n:ℝ)
nonneg _ := by positivity
sum_one := by
simp only [Finset.sum_const,Finset.card_univ,Fintype.card_fin,nsmul_eq_mul]
field_simp
theorem uniformFin_prob (n : ℕ) (hn : 0 < n) (E : Fin n → Prop) :
(uniformFin n hn).prob E=(Finset.univ.filter E).card/(n:ℝ) := by
simp only [prob,expect,uniformFin,← Finset.mul_sum]
rw [Finset.sum_boole]
ring
theorem markov {n : ℕ} (P : FiniteLaw (Fin n)) (f : Fin n → ℝ) (hf : ∀ x, 0 ≤ f x)
(c : ℝ) (_hc : 0 < c) : c*P.prob (fun x => c < f x) ≤ P.expect f := by
rw [prob,← expect_const_mul]
apply expect_mono
intro x
split_ifs with h
· simpa only [mul_one] using h.le
· simpa only [mul_zero] using hf x
end FiniteLaw
def thresholdGrid (n : ℕ) (a ρ : ℝ) (i : Fin n) : ℝ := a+ρ*(i:ℕ)/(n:ℝ)
theorem thresholdGrid_mem {n : ℕ} (hn : 0 < n) {ρ : ℝ} (hρ : 0 < ρ)
(a : ℝ) (i : Fin n) : thresholdGrid n a ρ i ∈ Icc a (a+ρ) := by
have hnR : (0:ℝ)<n := by exact_mod_cast hn
have hi : (i:ℝ)<n := by exact_mod_cast i.isLt
unfold thresholdGrid
constructor
· have : 0 ≤ ρ*(i:ℕ)/(n:ℝ) := by positivity
linarith only [this]
· have : ρ*(i:ℕ)/(n:ℝ) ≤ ρ := (div_le_iff₀ hnR).mpr (by gcongr)
linarith only [this]
theorem thresholdGrid_count {n : ℕ} (hn : 0 < n) {ρ w : ℝ} (hρ : 0 < ρ) (hw : 0 ≤ w)
(a x : ℝ) :
((Finset.univ.filter (fun i : Fin n => |thresholdGrid n a ρ i-x| ≤ w)).card:ℝ) ≤
2*w*(n:ℝ)/ρ+1 := by
let S := Finset.univ.filter (fun i : Fin n => |thresholdGrid n a ρ i-x| ≤ w)
have hnR : (0:ℝ)<n := by exact_mod_cast hn
by_cases hs : S.Nonempty
· let i := S.min' hs
let j := S.max' hs
have hi : i∈S := Finset.min'_mem S hs
have hj : j∈S := Finset.max'_mem S hs
have hij : i≤j := Finset.min'_le S j hj
have hcard : S.card ≤ (j:ℕ)+1-(i:ℕ) := by
rw [← Fin.card_Icc]
apply Finset.card_le_card
intro z hz
exact Finset.mem_Icc.mpr ⟨Finset.min'_le S z hz,Finset.le_max' S z hz⟩
have hcard' : (S.card:ℝ) ≤ (j:ℝ)-(i:ℝ)+1 := by
have hnat : (i:ℕ)≤(j:ℕ)+1 := by omega
have hc : (S.card:ℝ) ≤ (((j:ℕ)+1-(i:ℕ):ℕ):ℝ) := by exact_mod_cast hcard
rw [Nat.cast_sub hnat,Nat.cast_add,Nat.cast_one] at hc
linarith only [hc]
have hdi := abs_le.mp ((Finset.mem_filter.mp hi).2)
have hdj := abs_le.mp ((Finset.mem_filter.mp hj).2)
have hgap : ρ*((j:ℝ)-(i:ℝ)) ≤ 2*w*(n:ℝ) := by
have H : thresholdGrid n a ρ j-thresholdGrid n a ρ i ≤ 2*w := by linarith only [hdi.1,hdj.2]
have HH : thresholdGrid n a ρ j-thresholdGrid n a ρ i=ρ*((j:ℝ)-(i:ℝ))/(n:ℝ) := by
unfold thresholdGrid
ring
rw [HH,div_le_iff₀ hnR] at H
exact H
have hgap' : (j:ℝ)-(i:ℝ) ≤ 2*w*(n:ℝ)/ρ := (le_div_iff₀ hρ).mpr (by nlinarith only [hgap])
exact hcard'.trans (by linarith only [hgap'])
· have he : S=∅ := Finset.not_nonempty_iff_eq_empty.mp hs
change (S.card:ℝ)≤_
rw [he,Finset.card_empty,Nat.cast_zero]
positivity
theorem thresholdGrid_window {n : ℕ} (hn : 0 < n) {ρ w : ℝ} (hρ : 0 < ρ) (hw : 0 ≤ w)
(a x : ℝ) :
(FiniteLaw.uniformFin n hn).prob (fun i => |thresholdGrid n a ρ i-x| ≤ w) ≤ 2*w/ρ+1/(n:ℝ) := by
rw [FiniteLaw.uniformFin_prob]
have h := div_le_div_of_nonneg_right (thresholdGrid_count hn hρ hw a x) (by positivity : (0:ℝ)≤n)
refine h.trans_eq ?_
have hnR : (n:ℝ)≠0 := by exact_mod_cast hn.ne'
field_simp
theorem thresholdGrid_mass_expect {n : ℕ} (hn : 0 < n) (μ : ProbabilityMeasure ℝ)
{ρ h : ℝ} (hρ : 0 < ρ) (hh : 0 ≤ h) (a : ℝ) :
(FiniteLaw.uniformFin n hn).expect (fun i => (μ:Measure ℝ).real
(Icc (thresholdGrid n a ρ i-h) (thresholdGrid n a ρ i+h))) ≤ 2*h/ρ+1/(n:ℝ) := by
let f (i : Fin n) := (Icc (thresholdGrid n a ρ i-h) (thresholdGrid n a ρ i+h)).indicator (fun _ : ℝ => (1:ℝ))
have hi (i : Fin n) : Integrable (f i) (μ:Measure ℝ) :=
(integrable_const 1).indicator measurableSet_Icc
have he : (FiniteLaw.uniformFin n hn).expect (fun i => (μ:Measure ℝ).real
(Icc (thresholdGrid n a ρ i-h) (thresholdGrid n a ρ i+h))) =
∫ x, (1/(n:ℝ))*∑ i, f i x ∂(μ:Measure ℝ) := by
unfold FiniteLaw.expect FiniteLaw.uniformFin
rw [integral_const_mul,integral_finsetSum _ (fun i _ => hi i),Finset.mul_sum]
apply Finset.sum_congr rfl
intro i _
dsimp only [f]
rw [integral_indicator_const (1:ℝ) measurableSet_Icc]
simp only [smul_eq_mul,mul_one]
rw [he]
have hb (x : ℝ) : (1/(n:ℝ))*∑ i, f i x ≤ 2*h/ρ+1/(n:ℝ) := by
have H := thresholdGrid_window hn hρ hh a x
change (1/(n:ℝ))*(∑ i, f i x)≤_
convert H using 1
unfold FiniteLaw.prob FiniteLaw.expect FiniteLaw.uniformFin
rw [← Finset.mul_sum]
congr 1
apply Finset.sum_congr rfl
intro i _
have he : x∈Icc (thresholdGrid n a ρ i-h) (thresholdGrid n a ρ i+h) ↔ |thresholdGrid n a ρ i-x|≤h := by
rw [Set.mem_Icc,abs_le]
constructor <;> intro H <;> constructor <;> linarith only [H.1,H.2]
simp only [f,Set.indicator_apply,he]
exact (integral_mono_of_nonneg (ae_of_all _ (fun x => by
apply mul_nonneg (by positivity)
exact Finset.sum_nonneg (fun i _ => Set.indicator_nonneg (fun _ _ => zero_le_one) x)))
(integrable_const _) (ae_of_all _ hb)).trans_eq (by simp)
end SK.Analytic
end
end
end OAI