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3.55 kB
| import Mathlib | |
| import OAI.Probability.SKRatio.Matrices.WeightedGaussianSquares | |
| namespace OAI | |
| section | |
| noncomputable section | |
| open scoped BigOperators ENNReal NNReal Topology | |
| open MeasureTheory ProbabilityTheory Filter Set Real | |
| namespace SKRatio.MatrixNet | |
| open SKRatioClock.Regression | |
| attribute [local instance] Classical.propDecidable | |
| lemma weighted_square_product_tail {A u c : ℝ} | |
| (ht : ∀ {ι : Type} [Fintype ι] (s : Finset ι) (a : ι → ℝ), | |
| (∀ i∈s, |a i|≤A) → ∀ {n : ℕ}, 0<n → s.card≤n → | |
| standardArrayLaw ι {z | u ≤ |(∑ i∈s, a i*(z i^2-1))/(n:ℝ)|} ≤ | |
| ENNReal.ofReal (3*exp (-c*n))) | |
| {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω) [IsProbabilityMeasure μ] | |
| {ι : Type} [Fintype ι] (s : Finset ι) (a : Ω → ι → ℝ) | |
| (hma : ∀ i, Measurable (fun ω => a ω i)) (ha : ∀ ω i, i∈s → |a ω i|≤A) | |
| {n : ℕ} (hn : 0<n) (hc : s.card≤n) : | |
| (μ.prod (standardArrayLaw ι)) {p | u ≤ |(∑ i∈s, a p.1 i*(p.2 i^2-1))/(n:ℝ)|} ≤ | |
| ENNReal.ofReal (3*exp (-c*n)) := by | |
| have hE : MeasurableSet {p : Ω × (ι → ℝ) | | |
| u ≤ |(∑ i∈s, a p.1 i*(p.2 i^2-1))/(n:ℝ)|} := by | |
| apply measurableSet_le measurable_const | |
| apply Measurable.abs | |
| apply Measurable.div_const | |
| exact Finset.measurable_sum _ (fun i _ => ((hma i).comp measurable_fst).mul | |
| (((measurable_pi_apply i).comp measurable_snd).pow_const 2 |>.sub measurable_const)) | |
| rw [Measure.prod_apply hE] | |
| calc | |
| _ ≤ ∫⁻ _ω : Ω, ENNReal.ofReal (3*exp (-c*n)) ∂μ := | |
| lintegral_mono (fun ω => ht s (a ω) (ha ω) hn hc) | |
| _ = _ := by simp | |
| theorem weighted_square_conditioned_tail {A u : ℝ} (hA : 0≤A) (hu : 0<u) : | |
| ∃ c : ℝ, 0<c ∧ ∀ {ι : Type} [Fintype ι] (s : Finset ι) | |
| (a : ({i // i∉s} → ℝ) → s → ℝ), | |
| (∀ i, Measurable (fun y => a y i)) → (∀ y i, |a y i|≤A) → | |
| ∀ {n : ℕ}, 0<n → s.card≤n → | |
| standardArrayLaw ι {z | u ≤ |(∑ i : s, | |
| a (fun j => z j) i * (z i^2-1))/(n:ℝ)|} ≤ | |
| ENNReal.ofReal (3*exp (-c*n)) := by | |
| classical | |
| obtain ⟨c,hc,ht⟩ := weighted_standard_square_tail hA hu | |
| refine ⟨c,hc,?_⟩ | |
| intro ι _ s a hm ha n hn hs | |
| let E : Set (({i // i∉s} → ℝ) × (s → ℝ)) := | |
| {p | u ≤ |(∑ i : s, a p.1 i*(p.2 i^2-1))/(n:ℝ)|} | |
| have hE : MeasurableSet E := by | |
| apply measurableSet_le measurable_const | |
| apply Measurable.abs | |
| apply Measurable.div_const | |
| exact Finset.measurable_sum _ (fun i _ => ((hm i).comp measurable_fst).mul | |
| (((measurable_pi_apply i).comp measurable_snd).pow_const 2 |>.sub measurable_const)) | |
| have hp := measurePreserving_piEquivPiSubtypeProd | |
| (fun _ : ι => gaussianReal 0 1) (fun i => i∈s) | |
| have hp' := Measure.measurePreserving_swap.comp hp | |
| have he : {z : ι → ℝ | u ≤ |(∑ i : s, a (fun j => z j) i*(z i^2-1))/(n:ℝ)|} = | |
| (fun z => ((fun j : {i // i∉s} => z j), (fun j : s => z j))) ⁻¹' E := rfl | |
| rw [he] | |
| have hmap : MeasurePreserving (fun z : ι → ℝ => | |
| ((fun j : {i // i∉s} => z j), (fun j : s => z j))) | |
| (standardArrayLaw ι) ((standardArrayLaw {i // i∉s}).prod (standardArrayLaw s)) := by | |
| convert! hp' using 1 | |
| dsimp only [standardArrayLaw] | |
| congr 1 | |
| congr 1 | |
| exact Subsingleton.elim _ _ | |
| rw [hmap.measure_preimage hE.nullMeasurableSet] | |
| exact weighted_square_product_tail ht (standardArrayLaw {i // i∉s}) | |
| Finset.univ a hm (fun y i _ => ha y i) hn (by simpa using hs) | |
| end SKRatio.MatrixNet | |
| end | |
| end | |
| end OAI | |