openAI-math-dataset / lean /OAI /Analysis /IrrationalRotation /Sampling /MixedRadixNonterminal.lean
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Add lean source and binary files (part 20)
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import OAI.Analysis.IrrationalRotation.Sampling.MixedRadix
import Mathlib.Probability.ProductMeasure
import Mathlib.Probability.Distributions.Uniform
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Tactic
namespace OAI
open MeasureTheory ProbabilityTheory Filter
open scoped ENNReal Topology
namespace Invariant233
theorem infinitePi_eventually_mem_null
{X : ℕ → Type*} [∀ n, MeasurableSpace (X n)]
(μ : (n : ℕ) → Measure (X n)) [∀ n, IsProbabilityMeasure (μ n)]
(s : (n : ℕ) → Set (X n)) (hs : ∀ n, MeasurableSet (s n))
{q : ℝ≥0∞} (hq : q < 1) (hprob : ∀ n, μ n (s n) ≤ q) :
(Measure.infinitePi μ) {x | ∃ N : ℕ, ∀ n, N ≤ n → x n ∈ s n} = 0 := by
have htail (N k : ℕ) :
(Measure.infinitePi μ) {x | ∀ n, N ≤ n → x n ∈ s n} ≤ q ^ k := by
calc
(Measure.infinitePi μ) {x | ∀ n, N ≤ n → x n ∈ s n} ≤
(Measure.infinitePi μ) (Set.pi (Finset.Ico N (N + k)) s) := by
apply measure_mono
intro x hx n hn
exact hx n (Finset.mem_Ico.mp hn).1
_ = ∏ n ∈ Finset.Ico N (N + k), μ n (s n) :=
Measure.infinitePi_pi μ (fun n _ => hs n)
_ ≤ ∏ _n ∈ Finset.Ico N (N + k), q :=
Finset.prod_le_prod (fun n _ => hprob n)
_ = q ^ k := by simp
have hnull (N : ℕ) :
(Measure.infinitePi μ) {x | ∀ n, N ≤ n → x n ∈ s n} = 0 := by
apply le_antisymm _ bot_le
exact le_of_tendsto_of_tendsto tendsto_const_nhds
(ENNReal.tendsto_pow_atTop_nhds_zero_of_lt_one hq)
(Eventually.of_forall (htail N))
have heq : {x : (n : ℕ) → X n | ∃ N : ℕ, ∀ n, N ≤ n → x n ∈ s n} =
⋃ N : ℕ, {x | ∀ n, N ≤ n → x n ∈ s n} := by
ext x
simp
rw [heq]
exact measure_iUnion_null hnull
namespace MixedRadix
variable {r : ℕ → ℕ} [∀ n, NeZero (r n)]
theorem uniformDigit_singleton (n : ℕ) (a : Fin (r n)) :
(PMF.uniformOfFintype (Fin (r n))).toMeasure {a} = (r n : ℝ≥0∞)⁻¹ := by
simp
theorem ae_nonterminal_uniformDigits (hr : ∀ n, 2 ≤ r n) :
∀ᵐ d ∂Measure.infinitePi (fun n => (PMF.uniformOfFintype (Fin (r n))).toMeasure),
Nonterminal d := by
let s : (n : ℕ) → Set (Fin (r n)) := fun n => {a | ¬(a : ℕ) + 1 < r n}
have hs (n : ℕ) : MeasurableSet (s n) := Set.toFinite (s n) |>.measurableSet
have heq (n : ℕ) : s n = {⟨r n - 1, by have := hr n; omega⟩} := by
ext a
simp only [s, Set.mem_ofPred_eq, Set.mem_singleton_iff, Fin.ext_iff]
have ha := a.isLt
have h := hr n
omega
have hprob (n : ℕ) : (PMF.uniformOfFintype (Fin (r n))).toMeasure (s n) ≤
(2 : ℝ≥0∞)⁻¹ := by
rw [heq, uniformDigit_singleton]
exact ENNReal.inv_le_inv.mpr (by exact_mod_cast hr n)
have hnull := infinitePi_eventually_mem_null
(fun n => (PMF.uniformOfFintype (Fin (r n))).toMeasure) s hs
(by norm_num : (2 : ℝ≥0∞)⁻¹ < 1) hprob
rw [ae_iff]
simpa only [Nonterminal, Set.mem_ofPred_eq, not_forall, not_exists, not_and, s] using hnull
theorem ae_nonterminal_of_absolutelyContinuous (hr : ∀ n, 2 ≤ r n)
{ν : Measure (Digits r)}
(hν : ν ≪ Measure.infinitePi (fun n =>
(PMF.uniformOfFintype (Fin (r n))).toMeasure)) :
∀ᵐ d ∂ν, Nonterminal d :=
hν.ae_le (ae_nonterminal_uniformDigits hr)
theorem ae_floor_coordinate_recovers_digit (hr : ∀ n, 2 ≤ r n) :
∀ᵐ d ∂Measure.infinitePi (fun n => (PMF.uniformOfFintype (Fin (r n))).toMeasure),
∀ j : ℕ, ⌊(r j : ℝ) * Int.fract ((denominator r j : ℝ) * ofDigits d)⌋₊ =
(d j : ℕ) := by
filter_upwards [ae_nonterminal_uniformDigits hr] with d hd
exact floor_coordinate_recovers_digit (fun n => lt_of_lt_of_le (by decide : 0 < 2) (hr n)) d hd
theorem ae_ofDigits_mem_Ico (hr : ∀ n, 2 ≤ r n) :
∀ᵐ d ∂Measure.infinitePi (fun n => (PMF.uniformOfFintype (Fin (r n))).toMeasure),
ofDigits d ∈ Set.Ico (0 : ℝ) 1 := by
filter_upwards [ae_nonterminal_uniformDigits hr] with d hd
refine ⟨ofDigits_nonneg d, ?_⟩
simpa [tailValue, ofDigits] using
tailValue_lt_one (fun n => lt_of_lt_of_le (by decide : 0 < 2) (hr n)) d hd 0
end MixedRadix
end Invariant233
end OAI