OAI/GroupTheory/PolycyclicRecognition/Analysis/DominatedProfileConcentration.lean
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Transferring affine approximation through a dominated sampling law
- theorem
OAI.PolycyclicRecognition.dominated_profile_concentrationline 15Source documentation
Ordinary affine approximation and suffix concentration give the same approximation for a changed sampling law dominated by the independent starting-point and suffix distribution.
theorem dominated_profile_concentration {X Y : Type*} [MeasurableSpace X] [PseudoMetricSpace Y] (μ ν : ℕ → ProbabilityMeasure X) (ξ : ℕ → Measure X) (ψ : ℕ → X → X) (m : ℕ → X → X → X) (f : ℕ → X → Y) (a : ℕ → Y) {K : ℝ≥0∞} (hK : K ≠ ∞) (hmeas : ∀ n ε, MeasurableSet {x | ε ≤ dist (f n x) (a n)}) (hdom : ∀ᶠ n in atTop, ∀ S : Set X, MeasurableSet S → ξ n (ψ n ⁻¹' S) ≤ K * (μ n : Measure X).prod (ν n : Measure X) {p | m n p.1 p.2 ∈ S}) (hordinary : ∀ ε : ℝ, 0 < ε → Tendsto (fun n => (μ n : Measure X) {x | ε ≤ dist (f n x) (a n)}) atTop (𝓝 0)) …