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Add lean source and binary files (part 127)
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import Mathlib
import OAI.Probability.SKBarriers.Scalar.ScalarAtomic
import OAI.Probability.SKBarriers.Scalar.PartitionChain
namespace OAI
section
noncomputable section
open scoped NNReal Topology BigOperators
open MeasureTheory ProbabilityTheory Filter Set
namespace SK.Analytic
theorem quantileCDF_bounds (k : ℕ) (Q : Fin (k+1) → ℝ) (s : ℝ) :
quantileCDF k Q s ∈ Icc (0:ℝ) 1 := by
rw [quantileCDF_formula]
constructor
· exact Finset.sum_nonneg (fun _ _ => by split_ifs <;> positivity)
· rw [← uniformAtom_sum k]
exact Finset.sum_le_sum (fun _ _ => by split_ifs <;> first | exact le_rfl | positivity)
theorem quantileCDF_monotone (k : ℕ) (Q : Fin (k+1) → ℝ) : Monotone (quantileCDF k Q) := by
intro s t hst
simp only [quantileCDF_formula]
apply Finset.sum_le_sum
intro j _
by_cases hj : Q j ≤ s
· simp only [ite_eq_left hj,ite_eq_left (hj.trans hst),le_refl]
· simp only [ite_eq_right hj]
split_ifs <;> positivity
theorem monotone_cons_zero_quantiles {k : ℕ} (Q : Fin (k+1) → ℝ)
(hQ : Monotone Q) (h0 : 0 ≤ Q 0) : Monotone (Fin.cons (α := fun _ => ℝ) 0 Q) := by
apply Fin.monotone_iff_le_succ.mpr
intro i
refine Fin.cases ?_ (fun j => ?_) i
· exact h0
· exact hQ (Fin.castSucc_le_succ j)
theorem quantile_knots_gap (k : ℕ) (Q : Fin (k+1) → ℝ) (i : Fin (k+1)) :
Fin.cons (α := fun _ => ℝ) 0 Q i.succ-Fin.cons (α := fun _ => ℝ) 0 Q i.castSucc=cumulativeGapMap k Q i := by
refine Fin.cases ?_ (fun i => ?_) i
· simp
· rfl
theorem quantileCDF_on_interval {k : ℕ} (Q : Fin (k+1) → ℝ) (hQ : Monotone Q)
(i : Fin (k+1)) (z : ℝ) (hz : z ∈ Ico (Fin.cons (α := fun _ => ℝ) 0 Q i.castSucc) (Q i)) :
quantileCDF k Q z=quantileMass k i := by
have he (j : Fin (k+1)) : Q j ≤ z ↔ j < i := by
constructor
· intro hj
by_contra hji
have H := hQ (le_of_not_gt hji)
linarith [hz.2]
· intro hji
cases i using Fin.cases with
| zero => simp at hji
| succ l =>
have hj : j ≤ l.castSucc := by simpa only [Fin.le_def,Fin.lt_def,Fin.val_castSucc] using (Nat.le_of_lt_succ hji)
exact (hQ hj).trans hz.1
rw [quantileCDF_formula]
simp_rw [he]
rw [← Finset.sum_filter]
have hs : (Finset.univ.filter (fun j : Fin (k+1) => j < i))=Finset.Iio i := by ext j; simp
rw [hs,Finset.sum_const,Fin.card_Iio]
simp only [nsmul_eq_mul,quantileMass,div_eq_mul_inv]
theorem quantile_prefix_chain {k : ℕ} (Q : Fin (k+1) → ℝ)
(hQ : Monotone Q) (h0 : 0 ≤ Q 0) :
∃ l : List (ℝ × ℝ≥0),
(chainDuration l:ℝ)=Q (Fin.last k) ∧
(∀ p ∈ l, p.1 ∈ Icc (0:ℝ) 1) ∧
TimeChainModels (quantileCDF k Q) 0 l ∧
∀ β f, scalarTimeChain β l f=scalarHierarchy (k+1) (quantileMass k)
(fun i => β*Real.sqrt (cumulativeGapMap k Q i)) f := by
let q := Fin.cons (α := fun _ => ℝ) 0 Q
let hq := monotone_cons_zero_quantiles Q hQ h0
let l := partitionTimeChain (k+1) q hq (quantileMass k)
refine ⟨l,?_,?_,?_,?_⟩
· have H := partitionTimeChain_duration (k+1) q hq (quantileMass k)
simpa only [q,← Fin.succ_last,Fin.cons_succ,Fin.cons_zero,sub_zero] using H
· intro p hp
obtain ⟨i,rfl⟩ := List.mem_ofFn.mp hp
change quantileMass k i ∈ Icc (0:ℝ) 1
constructor
· exact div_nonneg (Nat.cast_nonneg _) (Nat.cast_nonneg _)
· apply (div_le_one (by positivity : (0:ℝ)<(k+1:ℕ))).mpr
exact_mod_cast i.isLt.le
· change TimeChainModels (quantileCDF k Q) (q 0) (partitionTimeChain (k+1) q hq (quantileMass k))
apply partitionTimeChain_models
intro i z hz
exact quantileCDF_on_interval Q hQ i z hz
· intro β f
dsimp only [l,partitionTimeChain]
rw [scalarTimeChain_ofFn]
congr 2
funext i
simp only [NNReal.coe_mk, q]
rw [quantile_knots_gap]
end SK.Analytic
end
end
end OAI