openAI-math-dataset / lean /OAI /Probability /FreeIsing /Estimates /ContinuousModification.lean
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import Mathlib
namespace OAI
noncomputable section
open MeasureTheory Filter
open scoped Topology
namespace Problem367
namespace ContinuousModification
variable {T Ω : Type*}
def sampledLimit (q : T → ℕ → T) (F : T → Ω → ℝ) (t : T) (ω : Ω) : ℝ :=
limUnder atTop (fun n => F (q t n) ω)
theorem sampledLimit_congr {q : T → ℕ → T} {F G : T → Ω → ℝ}
{t : T} {ω ω' : Ω} (h : ∀ n, F (q t n) ω = G (q t n) ω') :
sampledLimit q F t ω = sampledLimit q G t ω' := by
unfold sampledLimit
congr 1
exact funext h
theorem measurable_sampledLimit [MeasurableSpace T] [MeasurableSpace Ω]
{q : T → ℕ → T} {F : T → Ω → ℝ}
(hF : ∀ n, Measurable (fun z : T × Ω => F (q z.1 n) z.2)) :
Measurable (fun z : T × Ω => sampledLimit q F z.1 z.2) := by
exact (StronglyMeasurable.limUnder (fun n => (hF n).stronglyMeasurable)).measurable
theorem measurable_sampledLimit_at [MeasurableSpace Ω]
{q : T → ℕ → T} {F : T → Ω → ℝ} (t : T)
(hF : ∀ n, Measurable (F (q t n))) : Measurable (sampledLimit q F t) := by
exact (StronglyMeasurable.limUnder (fun n => (hF n).stronglyMeasurable)).measurable
theorem ae_all_eq_of_continuous_modification [TopologicalSpace T] [MeasurableSpace Ω]
{μ : Measure Ω} {q : T → ℕ → T} {F G : T → Ω → ℝ}
{S : Set T} (hS : S.Countable)
(hqS : ∀ t n, q t n ∈ S)
(hq : ∀ t, Tendsto (q t) atTop (𝓝 t))
(hFG : ∀ s ∈ S, F s =ᵐ[μ] G s)
(hG : ∀ᵐ ω ∂μ, Continuous (fun t => G t ω)) :
∀ᵐ ω ∂μ, ∀ t, sampledLimit q F t ω = G t ω := by
let : Countable S := hS.to_subtype
have hEq : ∀ᵐ ω ∂μ, ∀ s : S, F s ω = G s ω :=
ae_all_iff.mpr (fun s => hFG s s.property)
filter_upwards [hEq, hG] with ω hEqω hGω
intro t
have hseq : (fun n => F (q t n) ω) = (fun n => G (q t n) ω) :=
funext (fun n => hEqω ⟨q t n, hqS t n⟩)
unfold sampledLimit
rw [hseq]
exact ((hGω.tendsto t).comp (hq t)).limUnder_eq
theorem ae_continuous_sampledLimit [TopologicalSpace T] [MeasurableSpace Ω]
{μ : Measure Ω} {q : T → ℕ → T} {F G : T → Ω → ℝ}
{S : Set T} (hS : S.Countable)
(hqS : ∀ t n, q t n ∈ S)
(hq : ∀ t, Tendsto (q t) atTop (𝓝 t))
(hFG : ∀ s ∈ S, F s =ᵐ[μ] G s)
(hG : ∀ᵐ ω ∂μ, Continuous (fun t => G t ω)) :
∀ᵐ ω ∂μ, Continuous (fun t => sampledLimit q F t ω) := by
filter_upwards [ae_all_eq_of_continuous_modification hS hqS hq hFG hG, hG]
with ω hEq hGω
simpa only [hEq] using hGω
theorem sampledLimit_equivariant {I : Type*} {q : T → ℕ → T}
(F : I → T → Ω → ℝ) (a : Ω → Ω) (e : I → I)
(hF : ∀ i t n ω, F i (q t n) (a ω) = F (e i) (q t n) ω) :
∀ i t ω, sampledLimit q (F i) t (a ω) = sampledLimit q (F (e i)) t ω := by
intro i t ω
exact sampledLimit_congr (fun n => hF i t n ω)
theorem ae_all_eq_family [TopologicalSpace T] [MeasurableSpace Ω]
{I : Type*} [Countable I] {μ : Measure Ω} {q : T → ℕ → T}
{F G : I → T → Ω → ℝ} {S : Set T} (hS : S.Countable)
(hqS : ∀ t n, q t n ∈ S)
(hq : ∀ t, Tendsto (q t) atTop (𝓝 t))
(hFG : ∀ i s, s ∈ S → F i s =ᵐ[μ] G i s)
(hG : ∀ i, ∀ᵐ ω ∂μ, Continuous (fun t => G i t ω)) :
∀ᵐ ω ∂μ, ∀ i t, sampledLimit q (F i) t ω = G i t ω := by
apply ae_all_iff.mpr
intro i
exact ae_all_eq_of_continuous_modification hS hqS hq (hFG i) (hG i)
theorem isStronglyProgressive_sampledLimit [Preorder T] [MeasurableSpace T]
[mΩ : MeasurableSpace Ω] (ℱ : Filtration T mΩ)
{q : T → ℕ → T} {F : T → Ω → ℝ}
(hF : ∀ n, IsStronglyProgressive ℱ (fun t ω => F (q t n) ω)) :
IsStronglyProgressive ℱ (sampledLimit q F) := by
intro t
let : MeasurableSpace Ω := ℱ t
exact StronglyMeasurable.limUnder (fun n => hF n t)
def dyadicLeft (t : ℝ) (n : ℕ) : ℝ := (⌊(2 : ℝ)^n * t⌋ : ℤ) / (2 : ℝ)^n
theorem dyadicLeft_le (t : ℝ) (n : ℕ) : dyadicLeft t n ≤ t := by
unfold dyadicLeft
apply (div_le_iff₀ (by positivity : (0 : ℝ) < 2^n)).2
simpa only [mul_comm] using Int.floor_le ((2 : ℝ)^n * t)
theorem sub_inv_pow_le_dyadicLeft (t : ℝ) (n : ℕ) :
t - ((2 : ℝ)^n)⁻¹ ≤ dyadicLeft t n := by
have hp : (0 : ℝ) < 2^n := by positivity
unfold dyadicLeft
apply (le_div_iff₀ hp).2
have hfloor := Int.lt_floor_add_one ((2 : ℝ)^n * t)
have hinv : ((2 : ℝ)^n)⁻¹ * (2 : ℝ)^n = 1 := inv_mul_cancel₀ hp.ne'
nlinarith
theorem dyadicLeft_nonneg {t : ℝ} (ht : 0 ≤ t) (n : ℕ) :
0 ≤ dyadicLeft t n := by
unfold dyadicLeft
exact div_nonneg (Int.cast_nonneg (Int.floor_nonneg.mpr (by positivity))) (by positivity)
theorem tendsto_dyadicLeft (t : ℝ) : Tendsto (dyadicLeft t) atTop (𝓝 t) := by
have hinv : Tendsto (fun n : ℕ => ((2 : ℝ)^n)⁻¹) atTop (𝓝 0) :=
tendsto_inv_atTop_zero.comp (tendsto_pow_atTop_atTop_of_one_lt (by norm_num))
have hlow : Tendsto (fun n : ℕ => t - ((2 : ℝ)^n)⁻¹) atTop (𝓝 t) := by
simpa using tendsto_const_nhds.sub hinv
exact tendsto_of_tendsto_of_tendsto_of_le_of_le hlow tendsto_const_nhds
(sub_inv_pow_le_dyadicLeft t) (dyadicLeft_le t)
theorem dyadicLeft_mem_rationals (t : ℝ) (n : ℕ) :
dyadicLeft t n ∈ Set.range (fun r : ℚ => (r : ℝ)) := by
refine ⟨(⌊(2 : ℝ)^n * t⌋ : ℚ) / (2 : ℚ)^n, ?_⟩
simp only [Rat.cast_div, Rat.cast_intCast, Rat.cast_pow, Rat.cast_ofNat, dyadicLeft]
theorem measurable_dyadic_sample [MeasurableSpace Ω] {F : ℝ → Ω → ℝ}
(hF : ∀ t, Measurable (F t)) (n : ℕ) :
Measurable (fun z : ℝ × Ω => F (dyadicLeft z.1 n) z.2) := by
have hstep : Measurable (fun z : ℤ × Ω => F ((z.1 : ℝ) / (2 : ℝ)^n) z.2) :=
measurable_from_prod_countable_right (fun k => hF ((k : ℝ) / (2 : ℝ)^n))
exact hstep.comp (((measurable_const.mul measurable_fst).floor).prodMk measurable_snd)
theorem isProgressive_dyadic_sample [mΩ : MeasurableSpace Ω]
(ℱ : Filtration ℝ mΩ) {F : ℝ → Ω → ℝ}
(hF : Adapted ℱ F) (n : ℕ) :
IsProgressive ℱ (fun t ω => F (dyadicLeft t n) ω) := by
intro t
let : MeasurableSpace Ω := ℱ t
have hstep : Measurable
(fun z : ℤ × Ω => F (min ((z.1 : ℝ) / (2 : ℝ)^n) t) z.2) :=
measurable_from_prod_countable_right (fun k => by
exact (hF (min ((k : ℝ) / (2 : ℝ)^n) t)).mono
(ℱ.mono (min_le_right _ _)) le_rfl)
have hfloor : Measurable
(fun z : Set.Iic t × Ω => (⌊(2 : ℝ)^n * (z.1 : ℝ)⌋, z.2)) :=
((measurable_const.mul (measurable_subtype_coe.comp measurable_fst)).floor).prodMk
measurable_snd
have heq : (fun z : Set.Iic t × Ω => F (dyadicLeft (z.1 : ℝ) n) z.2) =
(fun z : Set.Iic t × Ω => F (min (dyadicLeft (z.1 : ℝ) n) t) z.2) := by
funext z
rw [min_eq_left ((dyadicLeft_le (z.1 : ℝ) n).trans z.1.property)]
rw [heq]
exact hstep.comp hfloor
theorem isStronglyProgressive_dyadicLimit [mΩ : MeasurableSpace Ω]
(ℱ : Filtration ℝ mΩ) {F : ℝ → Ω → ℝ} (hF : Adapted ℱ F) :
IsStronglyProgressive ℱ (sampledLimit dyadicLeft F) :=
isStronglyProgressive_sampledLimit ℱ
(fun n => (isProgressive_dyadic_sample ℱ hF n).isStronglyProgressive)
theorem measurable_dyadicLimit [MeasurableSpace Ω] {F : ℝ → Ω → ℝ}
(hF : ∀ t, Measurable (F t)) :
Measurable (fun z : ℝ × Ω => sampledLimit dyadicLeft F z.1 z.2) :=
measurable_sampledLimit (measurable_dyadic_sample hF)
theorem ae_all_dyadicLimit_eq [MeasurableSpace Ω] {μ : Measure Ω}
{F G : ℝ → Ω → ℝ}
(hFG : ∀ r : ℚ, F (r : ℝ) =ᵐ[μ] G (r : ℝ))
(hG : ∀ᵐ ω ∂μ, Continuous (fun t => G t ω)) :
∀ᵐ ω ∂μ, ∀ t, sampledLimit dyadicLeft F t ω = G t ω := by
apply ae_all_eq_of_continuous_modification
(Set.countable_range (fun r : ℚ => (r : ℝ))) dyadicLeft_mem_rationals tendsto_dyadicLeft
?_ hG
rintro s ⟨r, rfl⟩
exact hFG r
end ContinuousModification
end Problem367
end
end OAI