OAI/GroupTheory/PolycyclicRecognition/Analysis/BackwardSwitchProbability.lean

GitHub source file

7 declarations, 0 contain sorry, 0 declared as axioms

Probability of retaining every intermediate sheet

  1. def OAI.PolycyclicRecognition.survivingSwitchProbability line 18

    Source documentation

    Iterate the actual independent pairs of increment samples, killing a path at its first exit from the prescribed next set.

    def survivingSwitchProbability (σ : ℕ → Measure G) (S : ℕ → Set G) :
        ℕ → ℕ → G → ℝ≥0∞
      | _, 0, _ => 1
      | n, k + 1, x => ∫⁻ s₁, ∫⁻ s₂,
          (S (n + 1)).indicator (survivingSwitchProbability σ S (n + 1) k)
            (x * s₁ * s₂⁻¹) ∂σ n ∂σ n
    
    /-- The product of the successive transition thresholds, in the same
    recursive order as the independent sampling. -/
  2. def OAI.PolycyclicRecognition.switchThresholdProduct line 27

    Source documentation

    The product of the successive transition thresholds, in the same recursive order as the independent sampling.

    def switchThresholdProduct (τ : ℕ → ℝ≥0) : ℕ → ℕ → ℝ≥0∞
      | _, 0 => 1
      | n, k + 1 => τ n * switchThresholdProduct τ (n + 1) k
  3. theorem OAI.PolycyclicRecognition.switchThresholdProduct_ne_top line 31
  4. theorem OAI.PolycyclicRecognition.switchThresholdProduct_pos line 37
  5. theorem OAI.PolycyclicRecognition.survivingSwitchProbability_le_one line 47
  6. theorem OAI.PolycyclicRecognition.measurable_survivingSwitchProbability line 65
  7. theorem OAI.PolycyclicRecognition.switchThresholdProduct_le_survival line 82

    Source documentation

    Independent sampling multiplies the conditional return bounds. The sets may differ at each stage, which is essential for backward recurrence.

    theorem switchThresholdProduct_le_survival
        (σ : ℕ → Measure G) (S : ℕ → Set G) (τ : ℕ → ℝ≥0)
        (n k : ℕ)
        (hreturn : ∀ j, j < n + k → ∀ x ∈ S j,
          (τ j : ℝ≥0∞) ≤ twoSampleReturn (σ j) (S (j + 1)) x)
        {x : G} (hx : x ∈ S n) :
        switchThresholdProduct τ n k ≤ survivingSwitchProbability σ S n k x := by
    …

    Mentions: OAI.PolycyclicRecognition.twoSampleReturn, OAI.PolycyclicRecognition.switchThresholdProduct, OAI.PolycyclicRecognition.survivingSwitchProbability