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