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import OAI.Probability.FreeIsing.Martingales.PredictableMeshApproximation
import OAI.Probability.FreeIsing.Martingales.SquareMaximal
namespace OAI
noncomputable section
open MeasureTheory Filter Set
open scoped NNReal ENNReal Topology
namespace Problem367.MartingaleSquareMaximal
private def dyadicPoint (n k : ℕ) : ℝ≥0 := (k : ℝ≥0) / (2 ^ n : ℕ)
private lemma dyadicPoint_mono (n : ℕ) : Monotone (dyadicPoint n) := by
intro i j hij
dsimp [dyadicPoint]
gcongr
private lemma dyadicPoint_double (n k : ℕ) :
dyadicPoint (n + 1) (2 * k) = dyadicPoint n k := by
simp only [dyadicPoint, pow_succ, Nat.cast_mul, Nat.cast_ofNat]
field_simp
private lemma dyadicPoint_eq_mesh (n k : ℕ) :
dyadicPoint n k = PredictableMesh.point (2 ^ n - 1) k := by
have hn : 1 ≤ 2 ^ n := Nat.one_le_pow n 2 (by norm_num)
simp only [dyadicPoint, PredictableMesh.point, Nat.sub_add_cancel hn]
variable {Ω : Type*} [mΩ : MeasurableSpace Ω]
{μ : Measure Ω} [IsFiniteMeasure μ]
{F : Filtration ℝ≥0 mΩ} {M : ℝ≥0 → Ω → ℝ}
theorem continuous_maximal_sq
(hM : Martingale M F μ) (h2 : ∀ t, MemLp (M t) 2 μ)
(hc : ∀ᵐ ω ∂μ, Continuous (fun t => M t ω))
(ε T : ℝ≥0) :
(ε : ℝ≥0∞) ^ 2 * μ {ω | ∃ t ≤ T, (ε : ℝ) < |M t ω|} ≤
ENNReal.ofReal (∫ ω, M T ω ^ 2 ∂μ) := by
let A : ℕ → Set Ω := fun n =>
{ω | ∃ k : ℕ, dyadicPoint n k ≤ T ∧ (ε : ℝ) < |M (dyadicPoint n k) ω|}
have hAmono : Monotone A := by
apply monotone_nat_of_le_succ
intro n ω hω
obtain ⟨k, hk, hv⟩ := hω
exact ⟨2 * k, by simpa only [dyadicPoint_double] using hk,
by simpa only [dyadicPoint_double] using hv⟩
have hAn (n : ℕ) : (ε : ℝ≥0∞) ^ 2 * μ (A n) ≤
ENNReal.ofReal (∫ ω, M T ω ^ 2 ∂μ) := by
let N : ℕ := ⌊(2 ^ n : ℕ) * T⌋₊
have hp : (0 : ℝ≥0) < (2 ^ n : ℕ) := by positivity
have hlast : dyadicPoint n N ≤ T := by
apply (div_le_iff₀ hp).2
simpa only [N, mul_comm] using Nat.floor_le (show (0 : ℝ≥0) ≤ ((2 ^ n : ℕ) : ℝ≥0) * T from by positivity)
have hsub : A n ⊆ {ω | ∃ k ≤ N, (ε : ℝ) ≤ |M (dyadicPoint n k) ω|} := by
intro ω hω
obtain ⟨k, hk, hv⟩ := hω
refine ⟨k, ?_, hv.le⟩
apply Nat.le_floor
simpa only [mul_comm] using (div_le_iff₀ hp).mp hk
exact (mul_le_mul_right (measure_mono hsub) ((ε : ℝ≥0∞) ^ 2)).trans
(sampled_maximal_sq hM h2 (dyadicPoint n) (dyadicPoint_mono n) ε N hlast)
have hUnion : (ε : ℝ≥0∞) ^ 2 * μ (⋃ n, A n) ≤
ENNReal.ofReal (∫ ω, M T ω ^ 2 ∂μ) := by
rw [hAmono.measure_iUnion, ENNReal.mul_iSup]
exact iSup_le hAn
have hsub : {ω | ∃ t ≤ T, (ε : ℝ) < |M t ω|} ≤ᵐ[μ] ⋃ n, A n := by
filter_upwards [hc] with ω hcω
rintro ⟨t, ht, hv⟩
have hp : Tendsto (fun n : ℕ => 2 ^ n - 1) atTop atTop :=
(tendsto_sub_atTop_nat 1).comp
(tendsto_pow_atTop_atTop_of_one_lt (by norm_num : (1 : ℕ) < 2))
have hlim : Tendsto (fun n : ℕ => |M (PredictableMesh.left (2 ^ n - 1) t) ω|)
atTop (𝓝 |M t ω|) :=
((hcω.tendsto t).comp ((PredictableMesh.tendsto_left t).comp hp)).abs
obtain ⟨n, hn⟩ := ((tendsto_order.1 hlim).1 (ε : ℝ) hv).exists
apply Set.mem_iUnion.mpr
refine ⟨n, ?_⟩
let k := ⌈((2 ^ n - 1 + 1 : ℕ) : ℝ≥0) * t⌉₊ - 1
have heq : dyadicPoint n k = PredictableMesh.left (2 ^ n - 1) t :=
dyadicPoint_eq_mesh n k
refine ⟨k, ?_, ?_⟩
· rw [heq]
exact (PredictableMesh.left_le _ t).trans ht
· rw [heq]
exact hn
exact (mul_le_mul_right (measure_mono_ae hsub) ((ε : ℝ≥0∞) ^ 2)).trans hUnion
end Problem367.MartingaleSquareMaximal
end
end OAI